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		<title>A Situation of Suicide Committed in Ilam District of Nepal</title>
		<link>http://www.nrsubba.com.np/2010/09/a-situation-of-suicide-committed-in-ilam-district-of-nepal.html/</link>
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		<pubDate>Sat, 11 Sep 2010 11:08:39 +0000</pubDate>
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		<guid isPermaLink="false">http://www.nrsubba.com.np/?p=696</guid>
		<description><![CDATA[- Nawaraj Subba Abstract: Background: This is a retrospective study that reviews status of suicide committed in Ilam district of Nepal. The action of killing oneself intentionally is called suicide and it is considered as mental health problem in public health. Methodology: A total of 112 Post mortem records available in District Health Office Ilam [...]]]></description>
			<content:encoded><![CDATA[<p><span style="text-decoration: underline;"> </span></p>
<p style="text-align: right;"><strong>- Nawaraj Subba</strong></p>
<p><strong> </strong></p>
<p><strong>Abstract</strong>:</p>
<p><strong>Background:</strong> This is a retrospective study that reviews status of suicide committed in Ilam district of Nepal. The action of killing oneself intentionally is called suicide and it is considered as mental health problem in public health.<span id="more-696"></span></p>
<p><strong>Methodology:</strong> A total of 112 Post mortem records available in District Health Office Ilam over past 3 years (2057/58, 2058/59 and 2059/60) and a report of District Police Office Ilam covering past 11 years (2049/50 to 2059/60) were reviewed in the study. Post mortem records were entered into a computer and analyzed with Epi-Info 2002 software.</p>
<p><strong>Findings</strong>: Ratio of female (33%) was significantly lower than male (67%) among those committed suicide in the district.<strong> T</strong>he mean age of women was 35 years and man 35 years. Most of the suicides committed were by hanging (80%) and taking organophosphorus poisoning (14%). Suicide committed by getting fire, fall, drawn and weapon use were less than 2%. Proportion of suicide committed by sex and caste and ethnics was notably higher in male Brahmin (32.0%) and female Rai (32.4%). Number of suicides were higher in urban than in rural. The trend of suicides in Ilam was increasing during past 11 years (2049/50 to 2059/60).</p>
<p><strong>Conclusion:</strong> Proportion of suicides by sex and caste/ethnicity was remarkably higher in male Brahmin and female Rai. More suicides were committed by hanging and poisoning. Incidence of suicides was higher in urban than rural areas. The trend of suicides was increasing over 11 years.</p>
<p><strong>Key words:</strong> Suicide, Ilam Nepal</p>
<h2>Background</h2>
<p>Ilam district, a part of Mechi Zone, is one of the seventy-five districts of Nepal. It has got 48 VDCs and a municipality. The district, with <a title="Ilam, Nepal" href="http://en.wikipedia.org/wiki/Ilam,_Nepal">Ilam</a> as its district headquarters, covers an area of 1,703km² and has a population of 282,806 (CBS, 2001). The name Ilam is derived from a Limbu language meaning “Ii” means Twisted and “Lam” means Road (wikipedia, 2009). Ilam is a today one of the most developed places in Nepal. Its tea ILAM TEA is very famous and exported to many parts of Europe. The main source of income in this district is tea, cardamom, milk, ginger and potato. This place also has a religious importance. The Devi temples have a great importance attached with it and lots of people come here just for pilgrimage.</p>
<p>The action of killing oneself intentionally is called suicide and is considered as mental health problem in public health. Ilam district has reported the number of suicidal database that is considered as highest suicidal rate in Nepal (DHO- Ilam, 2002). The issue of committing suicide in <em>Ilam</em> often rose in seminars and covered by national newspapers also. There are various reasons behind the increasing number of suicides. The trend of suicide in Ilam (janamanch, 2060) was in increasing trend over past 11 years (2049/50 to 2059/60) that is a concern of public health personnel, psychiatrists and psychologists as well. Chronic patients and mentally disturbed persons are found to have resorted to committing suicide rather than seeking treatment because of superstition and lack of awareness (RSS, 2001).</p>
<p><strong>Study Design:</strong></p>
<p>It is a retrospective study based on secondary data available from District Health Office Ilam in 2003.</p>
<p><strong>Rationale of Study:</strong><strong><br />
</strong>Suicidal behavior is an important and preventable public health problem. While not in it a mental illness, suicidal behavior is highly correlated with mental illness and raises many similar issues. It usually marks the end of a long road of hopelessness, helplessness and despair. All people who consider suicide feel life to be unbearable (MDSOC, 2003).<strong> </strong>Suicidal behavior that does not result in death (attempted suicide) is a sign of serious distress and can be a turning point for the individual if he/she is given sufficient assistance to make the necessary life changes (Bland R.D., et al., 1998). Early identification and treatment programs address the predisposing factors. Crisis intervention addresses the precipitating factors. Treatment programs address the contributing factors. Mental health promotion programs address the protective factors. Since <em>Ilam is</em> known as having highest incidence of suicide in the country it is useful to identify the demographic characteristics of people those committed suicide.</p>
<p><strong>Objective of Study:</strong></p>
<p>The objective of this study is to analyze the demographic situation of those committed the suicide in Ilam district of Nepal.</p>
<p><strong>Methodology</strong></p>
<p>A total of 112 Post mortem records available in District Health Office Ilam over past 3 years (2057/58, 2058/59 and 2059/60) and a report of District Police Office Ilam covering past 11 years (2049/50 to 2059/60) were reviewed in the study. Post mortem records were entered into a computer and data processing was done with Epi-Info 2002 software.</p>
<h1>Findings</h1>
<p><strong>Figure 1. Distribution of age those committed suicides</strong></p>
<p><strong> </strong></p>
<p><a href="http://www.nrsubba.com.np/wp-content/uploads/2010/09/age-dist-s.jpg" rel="lightbox[696]"><img class="alignleft size-medium wp-image-827" title="age dist s" src="http://www.nrsubba.com.np/wp-content/uploads/2010/09/age-dist-s-300x159.jpg" alt="" width="300" height="159" /></a></p>
<p>Figure 1 noted that suicide committed was found from the age of 14-80 years. The incidence of suicide was highest (18) among 25 to 29 years of age group and second highest was found among 35-39 years of age group in Ilam district over past three years (2057/58, 2058/59 and 2059/60).</p>
<p><strong>Table 1 Sex distribution </strong></p>
<table border="1" cellspacing="0" cellpadding="0" width="192">
<tbody>
<tr>
<td width="64" valign="bottom"></td>
<td width="64" valign="bottom">Number</td>
<td width="64" valign="bottom">Percentage</td>
</tr>
<tr>
<td width="64" valign="bottom">Female</td>
<td width="64" valign="bottom">75</td>
<td width="64" valign="bottom">67</td>
</tr>
<tr>
<td width="64" valign="bottom">Male</td>
<td width="64" valign="bottom">37</td>
<td width="64" valign="bottom">33</td>
</tr>
<tr>
<td width="64" valign="bottom">Total</td>
<td width="64" valign="bottom">112</td>
<td width="64" valign="bottom">100</td>
</tr>
</tbody>
</table>
<p>Table 1 indicates sex ratio. The sex ratio of female was 33% and male 67 % among those committed suicide over past 3 years (2057/58, 2058/59 and 2059/60) in Ilam.</p>
<p><strong> </strong></p>
<p><strong> </strong></p>
<p><strong> </strong></p>
<p><strong> </strong></p>
<p><strong>Table 2 Proportion of Caste and Ethnicity </strong></p>
<table border="1" cellspacing="0" cellpadding="0">
<tbody>
<tr>
<td rowspan="2" width="113" valign="top">Caste/Ethnicity</td>
<td colspan="3" width="185" valign="top">Number</td>
<td rowspan="2" width="93" valign="top">Percentage</td>
<td rowspan="2" width="93" valign="top">Age (Mean)</p>
<p>In Years</td>
</tr>
<tr>
<td width="56" valign="top">Male</td>
<td width="62" valign="top">Female</td>
<td width="67" valign="top">Total</td>
</tr>
<tr>
<td width="113" valign="top">Brahmin</td>
<td width="56" valign="top">24</td>
<td width="62" valign="top">9</td>
<td width="67" valign="top">33</td>
<td width="93" valign="top">29.4</td>
<td width="93" valign="top">37</td>
</tr>
<tr>
<td width="113" valign="top">Chhetri</td>
<td width="56" valign="top">6</td>
<td width="62" valign="top">3</td>
<td width="67" valign="top">9</td>
<td width="93" valign="top">8.0</td>
<td width="93" valign="top">41</td>
</tr>
<tr>
<td width="113" valign="top">Newar</td>
<td width="56" valign="top">4</td>
<td width="62" valign="top">0</td>
<td width="67" valign="top">4</td>
<td width="93" valign="top">3.6</td>
<td width="93" valign="top">21</td>
</tr>
<tr>
<td width="113" valign="top">Rai</td>
<td width="56" valign="top">19</td>
<td width="62" valign="top">12</td>
<td width="67" valign="top">31</td>
<td width="93" valign="top">27.7</td>
<td width="93" valign="top">37</td>
</tr>
<tr>
<td width="113" valign="top">Limbu</td>
<td width="56" valign="top">6</td>
<td width="62" valign="top">0</td>
<td width="67" valign="top">6</td>
<td width="93" valign="top">5.4</td>
<td width="93" valign="top">40</td>
</tr>
<tr>
<td width="113" valign="top">Magar</td>
<td width="56" valign="top">2</td>
<td width="62" valign="top">0</td>
<td width="67" valign="top">2</td>
<td width="93" valign="top">1.8</td>
<td width="93" valign="top">34</td>
</tr>
<tr>
<td width="113" valign="top">Gurung</td>
<td width="56" valign="top">3</td>
<td width="62" valign="top">1</td>
<td width="67" valign="top">4</td>
<td width="93" valign="top">3.6</td>
<td width="93" valign="top">39</td>
</tr>
<tr>
<td width="113" valign="top">Tamang</td>
<td width="56" valign="top">4</td>
<td width="62" valign="top">5</td>
<td width="67" valign="top">9</td>
<td width="93" valign="top">8.0</td>
<td width="93" valign="top">20</td>
</tr>
<tr>
<td width="113" valign="top">Sherpa</td>
<td width="56" valign="top">2</td>
<td width="62" valign="top">2</td>
<td width="67" valign="top">4</td>
<td width="93" valign="top">3.6</td>
<td width="93" valign="top">25</td>
</tr>
<tr>
<td width="113" valign="top">Kami, Damai</td>
<td width="56" valign="top">5</td>
<td width="62" valign="top">5</td>
<td width="67" valign="top">10</td>
<td width="93" valign="top">8.9</td>
<td width="93" valign="top">31</td>
</tr>
<tr>
<td width="113" valign="top">Total</td>
<td width="56" valign="top">75</td>
<td width="62" valign="top">37</td>
<td width="67" valign="top">112</td>
<td width="93" valign="top">100</td>
<td width="93" valign="top"></td>
</tr>
<tr>
<td width="113" valign="top">Mean Age</td>
<td width="56" valign="top">34</td>
<td width="62" valign="top">35</td>
<td width="67" valign="top"></td>
<td width="93" valign="top"></td>
<td width="93" valign="top"></td>
</tr>
</tbody>
</table>
<p>Table 2 indicates that mean age of men was 34 years and a woman was 35 years. The proportion of suicide committed by <em>Brahmin</em> was highest (29.5%) and second highest was <em>Rai</em> (27.7%) among castes and ethnicities. If we examine by sex and caste/ethnicity the proportion of female committing suicide was highest in <em>Rai</em> (12) and proportion of male was highest in <em>Bramhin </em>(24).<br />
Table 3 Categories of Suicide</p>
<table border="1" cellspacing="0" cellpadding="0" width="197">
<tbody>
<tr>
<td width="69" valign="bottom">Category</td>
<td width="64" valign="bottom">Number</td>
<td width="64" valign="bottom">Percentage</td>
</tr>
<tr>
<td width="69" valign="bottom">Hanging</td>
<td width="64" valign="bottom">80</td>
<td width="64" valign="bottom">79.2</td>
</tr>
<tr>
<td width="69" valign="bottom">Poisoning</td>
<td width="64" valign="bottom">14</td>
<td width="64" valign="bottom">13.8</td>
</tr>
<tr>
<td width="69" valign="bottom">Burning</td>
<td width="64" valign="bottom">2</td>
<td width="64" valign="bottom">2.0</td>
</tr>
<tr>
<td width="69" valign="bottom">Falling</td>
<td width="64" valign="bottom">2</td>
<td width="64" valign="bottom">2.0</td>
</tr>
<tr>
<td width="69" valign="bottom">Weapon</td>
<td width="64" valign="bottom">2</td>
<td width="64" valign="bottom">2.0</td>
</tr>
<tr>
<td width="69" valign="bottom">Drawning</td>
<td width="64" valign="bottom">1</td>
<td width="64" valign="bottom">1.0</td>
</tr>
<tr>
<td width="69" valign="bottom">Total</td>
<td width="64" valign="bottom">101</td>
<td width="64" valign="bottom">100.0</td>
</tr>
</tbody>
</table>
<p>Table 3 shows the highest numbers of suicides were committed by hanging 79.2% and then having organophosphorus poisoning 13.8%. And suicides were also committed by getting fire, fall and weapon use were found as 2%.</p>
<p><strong> </strong></p>
<p><strong> </strong></p>
<p><strong> </strong></p>
<p><strong> </strong></p>
<p><strong>Table 4 Top 10 Suicide committed villages and municipalities </strong></p>
<table border="1" cellspacing="0" cellpadding="0">
<tbody>
<tr>
<td width="55" valign="top">S.No.</td>
<td width="144" valign="top">VDC/Municipality</td>
<td width="72" valign="top">Number</td>
<td width="90" valign="top">Percentage</td>
</tr>
<tr>
<td width="55" valign="top">1</td>
<td width="144" valign="top">Ilam</td>
<td width="72" valign="top">13</td>
<td width="90" valign="top">11.6</td>
</tr>
<tr>
<td width="55" valign="top">2</td>
<td width="144" valign="top">Mangalbare</td>
<td width="72" valign="top">11</td>
<td width="90" valign="top">9.8</td>
</tr>
<tr>
<td width="55" valign="top">3</td>
<td width="144" valign="top">Maipokhari</td>
<td width="72" valign="top">9</td>
<td width="90" valign="top">8.0</td>
</tr>
<tr>
<td width="55" valign="top">4</td>
<td width="144" valign="top">Namsaling</td>
<td width="72" valign="top">5</td>
<td width="90" valign="top">4.5</td>
</tr>
<tr>
<td width="55" valign="top">5</td>
<td width="144" valign="top">Fikkal</td>
<td width="72" valign="top">5</td>
<td width="90" valign="top">4.5</td>
</tr>
<tr>
<td width="55" valign="top">6</td>
<td width="144" valign="top">Sangrumba</td>
<td width="72" valign="top">5</td>
<td width="90" valign="top">4.5</td>
</tr>
<tr>
<td width="55" valign="top">7</td>
<td width="144" valign="top">Soyang</td>
<td width="72" valign="top">5</td>
<td width="90" valign="top">4.5</td>
</tr>
<tr>
<td width="55" valign="top">8</td>
<td width="144" valign="top">Barbote</td>
<td width="72" valign="top">4</td>
<td width="90" valign="top">3.6</td>
</tr>
<tr>
<td width="55" valign="top">9</td>
<td width="144" valign="top">Chamaita</td>
<td width="72" valign="top">4</td>
<td width="90" valign="top">3.6</td>
</tr>
<tr>
<td width="55" valign="top">10</td>
<td width="144" valign="top">Kanyam</td>
<td width="72" valign="top">4</td>
<td width="90" valign="top">3.6</td>
</tr>
<tr>
<td width="55" valign="top"></td>
<td width="144" valign="top"></td>
<td width="72" valign="top">65</td>
<td width="90" valign="top">58.2</td>
</tr>
</tbody>
</table>
<p>Table 4 shows that highest numbers of suicides were committed in <strong>Ilam</strong><strong> </strong>municipality (11.6%), Mangalbare VDC (9.8%) and Maipokhari VDC (8%). Likewise, there were 5 each suicides committed in Namsaling VDC (4.5%), Fikkal VDC (4.5%), Sangrumba VDC (4.5%) and Soyang VDC (4.5%).</p>
<p><strong>Figure 2 Trend of Suicide in Ilam district</strong></p>
<p><strong><a href="http://www.nrsubba.com.np/wp-content/uploads/2010/09/trend-suicide-s1.png" rel="lightbox[696]"><img class="alignleft size-medium wp-image-829" title="trend suicide s" src="http://www.nrsubba.com.np/wp-content/uploads/2010/09/trend-suicide-s1-300x152.png" alt="" width="300" height="152" /></a><br />
</strong></p>
<p>Figure 2 is displayed as per report of District Police Office Ilam showing the trend of committed suicide in Ilam that was increasing over Fiscal years 2049/50 to 2059/60.</p>
<h2>Discussion</h2>
<p>The difference in rates of suicide and attempted suicide among men and women has several possible explanations (Canetto S.S. &amp; Sakinofsky I., 1998). Thirty-seven patients with severe organophosphorus poisoning (OPP) presented to the emergency ward of BP Koirala Institute of Health Sciences between January 1995 and December 1996.The mean age of patients was 26.9 years. There were 17 (46%) males and 20 (54%) females, with male: female ratio being 1:1.2. (Karki P et al., 2001). But in In Ilam there were 75(67%) males and 37 (33%) females, with male: female ratio as 1:3 in the study. Some differences from suicides in Western countries include the high use of organophosphate insecticides, larger numbers of married women, fewer elderly subjects, and interpersonal relationship problems and life events as important causative factors (Khan M.M., 2002). But in Ilam there is highest numbers of suicides falls under hanging (79.2%) and then Organophophorus poisoning (13.8%) in the study.</p>
<p>Suicide is a complex phenomenon associated with psychological, biological, and social factors, claiming approximately 30,000 lives each year in the United States. The ages ranged from 12 to 94 years; males comprised 79.5% of the victims, and whites 78.3%. The male to female and white to black ratios were both 3.9:1. The most common methods were gunshot wounds, accounting for 64.6% of the cases (Bennett AT &amp; Collins KA (2000). In Ilam study ages ranges from 14 years to 80 years.</p>
<p>Although both men and women exhibit suicidal behavior, men express their despair through fatal acts (by, for example, use of a firearm (26%) or hanging (40%)), and women are more likely to choose less lethal acts (such as an overdose of pills, from which they can be resuscitated). Although both men and women exhibit suicidal behavior, men express their despair through fatal acts (by, for example, use of a firearm (26%) or hanging (40%), and women are more likely to choose less lethal acts (such as an overdose of pills, from which they can be resuscitated (Langlois S, Morrison P., 2002). In Ilam also the numbers of suicides committed by males (67%) were higher and hanging (79.2%) was highest. Youth suicide is a tragic event that relates, in part, to events associated with this life stage. Resolving the challenges that are part of youth development, such as identity formation, gaining acceptance and approval among peers, and gaining acceptance from families is a stressful time for teenagers (White J., 1998). For example, loss of a valued relationship, interpersonal conflict with family and friends, and the perceived pressure for high scholastic achievement can be overwhelming. For those who are vulnerable to suicide because of other factors, these developmental stresses can create a serious crisis for which suicide may seem to be the only solution. The impulsiveness of youth and their lack of experience in dealing with stressful issues also contribute to the higher risk of suicide. Seniors face related challenges. They, too, experience the loss of relationships, but more through the death and chronic illness of their friends and life partners. They may also experience loss of their physical and mental abilities. Symptoms of depression may not be recognized and treated as such. In addition, being constantly faced with their own mortality, they may choose death on their own terms.<sup> </sup>The risk factors for suicidal behavior are complex and the mechanisms of their interaction are not well understood. It is important to take an ecological perspective when considering the layers of influence on the individual. These layers include the self, family, peers, school, community, culture, society and the environment (Bennett AT &amp; Collins KA (2000).</p>
<p>In Ilam there was unavailability of information why such high numbers of suicides are being committed. Government health management information system is not enough to show the number of mental health patients. So, there is a room to explore the underlying causes of suicides in Ilam. Predisposing factors are enduring factors that make an individual vulnerable to suicidal behavior. They include mental illness, abuse, early loss, family history of suicide and difficulty with peer relationships. Research indicates that a very high proportion of people who kill themselves have a history of mental illness, such as depression, bipolar disorder, schizophrenia or borderline personality disorder. Of these, depression is the most common. This does not mean, however, that all people living with depression are suicidal. Previous attempts at suicide serve as one of the strongest predictors of completed suicide. Precipitating factors are acute factors that create a crisis, such as interpersonal conflict or loss, pressure to succeed, conflict with the law, loss of stature in society, financial difficulties or rejection by society for some characteristic (such as ethnic origin or sexual orientation) <sup> </sup>“The common stimulus in suicide is unendurable psychological pain…. The fear is that the trauma, the crisis, is bottomless – an eternal suffering. The person may feel boxed in, rejected, deprived, forlorn, distressed, and especially hopeless and helpless. It is the emotion of impotence, the feeling of being hopeless-helpless, that is so painful for many suicidal people. The situation is unbearable and the person desperately wants a way out of it&#8221; (Leenaars A.A., 1998). Contributing factors increase the exposure of the individual to either predisposing or precipitating factors. These include physical illness, sexual identity issues, unstable family, physical illness, risk-taking or self-destructive behavior, suicide of a friend, isolation and substance abuse. Protective factors are those that decrease the risk of suicidal behavior, such as personal resilience, tolerance for frustration, self-mastery, adaptive coping skills, positive expectations for the future, sense of humor and at least one positive healthy family relationship (Canetto S.S. &amp; Sakinofsky I., 1998). Data recorded in District Police Office Ilam (Janamanch, 2060) has showed that trend of suicide committed was in increasing over fiscal years from 2049/50 to 2059/60.</p>
<p>Using the framework of categories, suicide prevention programs must address the predisposing, precipitating, contributing and protective factors for suicidal behavior: Early identification and treatment programs address the predisposing factors. (1). Crisis intervention addresses the precipitating factors. (2). Treatment programs address the contributing factors, and (3). Mental health promotion programs address the protective factors.</p>
<p>Programs need to be both population-wide and targeted toward those who are at higher risk. A comprehensive program has a framework, goals and objectives and a commitment to adequate funding. Promotion of mental health of the entire population, reduction of risk factors and early recognition of those at risk of suicidal behavior play essential roles in decreasing suicide and attempted suicide.</p>
<h3>Limitation of Study</h3>
<p>The study was based on data available from Ilam District  Hospital and District Police Office’s reports.</p>
<p><strong>Conclusion </strong></p>
<p>Proportion of suicides by sex and caste/ethnicity was remarkably higher in male Brahmin and female Rai. More suicides were committed by hanging and poisoning. Incidence of suicides was higher in urban than rural areas. The trend of suicides was increasing over 11 years.</p>
<p><strong>Recommendations</strong></p>
<p>A comprehensive program having the following strategies is needed to the Ilam district. The program that-</p>
<ul>
<li>Increase public awareness and      decrease the stigma associated with suicidal behavior especially in high      suicide reporting areas such as <em>Ilam</em> municipality, <em>Mangalbare </em>and      <em>Manepokhari</em> VDCs .</li>
<li>Address determinants of      health, including housing, income, education, employment and community      attitudes.</li>
<li>Implement prevention programs      for youth, for individuals at high risk for suicidal behavior, and for      family members post-suicide.</li>
<li>Provide and ensure equitable      access to co-coordinated, integrated services, including crisis phone      counseling and treatment of mental illnesses.</li>
<li>Reduce access to lethal means      of suicide, particularly firearms and lethal doses of prescription drugs.      Since suicidal behavior is often crisis-oriented and impulsive,      restricting access to lethal means can substantially reduce the risk of      the completion of a suicide attempt (Bennett A.T. &amp; Collins K.A., 2000).      This includes reducing access to firearms, bridges and dangerous sites,      and medication.</li>
<li>Train service providers and      educators in the early identification of predisposing factors and crisis      management.</li>
<li>Conduct research and      evaluation to inform the development of effective suicide prevention      programs. These research efforts need to address the causes of suicidal      behaviors, factors that increase risks for these behaviors, and factors      that are protective and that may facilitate resiliency in vulnerable      persons. Research must also evaluate the effectiveness of health and      social services.</li>
</ul>
<p><strong> </strong></p>
<p><strong> </strong></p>
<p><strong> </strong></p>
<p><strong>References</strong></p>
<p><strong>CBS (2001), Census report, Central Bureau of Statistics</strong></p>
<p><strong> </strong>Bennett AT &amp; Collins KA (2000), Suicide: a ten-year retrospective study, J Forensic Sci.      2000 Nov;45(6):1256-8.</p>
<p>Bland RD, Dyck RJ, Newman SC, Orn H. (1998), Attempted suicide in Edmonton. Leenaars AA, Wenckstern S, Sakinofsky I, Dyck RJ, Kral MJ, Bland RC, ed., Suicide in Canada. Toronto: University of Toronto Press. 1998: 136.</p>
<p>DHO_ Ilam (2002), Annual Report of District Health Office, 2002<br />
Janamanch (2060), janamanch weekly Yr 3, vol. 13, 2060.5.14<br />
RSS, The Rising Nepal National daily, February 12, 2001<br />
Karki P et al., (2001), A clinico-epidemiological study of organophosphorus poisoning at a rural-based teaching hospital in eastern Nepal, 2001<br />
Khan MM (2002), Suicide on the Indian subcontinent, Department of Psychiatry, The Aga Khan University, Karachi, Pakistan, 2002, Crisis. 2002;23(3):104-7.<br />
Langlois S, Morrison P. (2002), Suicide deaths and suicide attempts. Health Reports 2002;13:2:9-22. Statistics Canada Catalogue 83-003.<br />
Leenaars AA (1998), Suicide, euthanasia, and assisted suicide. Leenaars AA, Wenckstern S, Sakinofsky I, Dyck RJ, Kral MJ, Bland RC, ed., Suicide in Canada. Toronto: University of Toronto Press. 1998: 460-461.<br />
MDSOC (2003), A report on mental illnesses in Canada, 2003<br />
White J. (1998), Comprehensive youth suicide prevention: a model for understanding. Leenaars AA, Wenckstern S, Sakinofsky I, Dyck RJ, Kral MJ, Bland RC, ed., Suicide in Canada. Toronto: University of Toronto Press, 1998: 165-226.<br />
wikipedia (2009), website http://en.wikipedia.org/wiki/Ilam,_Nepal browsed on 03.23.2009</p>
<p>Also available in <a href="http://www.medicamail.com/announcement/Psychiatry-Psychology/1657/">Medicamail</a></p>


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		<title>Malaria Prevalence Survey of Jhapa in 2008</title>
		<link>http://www.nrsubba.com.np/2010/03/malaria-prevalence-survey-of-jhapa-in-2008.html/</link>
		<comments>http://www.nrsubba.com.np/2010/03/malaria-prevalence-survey-of-jhapa-in-2008.html/#comments</comments>
		<pubDate>Sun, 21 Mar 2010 11:43:26 +0000</pubDate>
		<dc:creator>nrsubba</dc:creator>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[Research]]></category>

		<guid isPermaLink="false">http://www.nrsubba.com.np/?p=291</guid>
		<description><![CDATA[The objective of malaria prevalence survey was to finds out the situation of Malaria in Jhapa with sexwise, age wies distribution. Malaria Prevalence Survey of Jhapa in 2008 (PDF file) Subscribe to the comments for this post? Share this on del.icio.us Digg this! Post this on Diigo Share this on Facebook Add this to Google [...]]]></description>
			<content:encoded><![CDATA[<p>The objective of malaria prevalence survey was to finds out the situation of Malaria in Jhapa with sexwise, age wies distribution.<span id="more-291"></span></p>
<p><a href="http://www.box.net/shared/m3xrtv9gj4">Malaria Prevalence Survey of Jhapa in 2008 (PDF file)</a></p>


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		<title>Assessment on Morang Innovative Neonatal Intervention 2006</title>
		<link>http://www.nrsubba.com.np/2010/03/assessment-on-morang-innovative-neonatal-intervention-2006-2.html/</link>
		<comments>http://www.nrsubba.com.np/2010/03/assessment-on-morang-innovative-neonatal-intervention-2006-2.html/#comments</comments>
		<pubDate>Sun, 21 Mar 2010 11:31:36 +0000</pubDate>
		<dc:creator>nrsubba</dc:creator>
				<category><![CDATA[Health]]></category>
		<category><![CDATA[Research]]></category>

		<guid isPermaLink="false">http://www.nrsubba.com.np/?p=288</guid>
		<description><![CDATA[Assessment on Morang Innovative Neonatal Intervention 2006 Introduction: This is a retrospective comparative study on Morang Innovative Neonatal Intervention (MINI) a project which aims at reducing neonatal deaths by controlling neonatal infections. Objectives: The objective of the assessment aims to assess the situation of neonatal health in intervention VDCs. Nawa Raj Subba Senior Public Health [...]]]></description>
			<content:encoded><![CDATA[<h1>Assessment on Morang Innovative Neonatal Intervention 2006</h1>
<p><strong>Introduction: </strong>This is a retrospective comparative study on  Morang  Innovative Neonatal Intervention (MINI) a project which aims at   reducing neonatal deaths by controlling neonatal infections. <strong>Objectives: </strong>The objective of the assessment aims to assess the situation of   neonatal health in intervention VDCs.<span id="more-288"></span><img title="More..." src="http://www.nrsubba.com.np/wp-includes/js/tinymce/plugins/wordpress/img/trans.gif" alt="" /></p>
<p style="text-align: right;">Nawa Raj Subba<br />
Senior Public Health Administrator</p>
<h1>Abstract</h1>
<p>&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;-</p>
<p><strong>Introduction: </strong>This is a retrospective comparative study on  Morang Innovative Neonatal Intervention (MINI) a project which aims at  reducing neonatal deaths by controlling neonatal infections. <strong>Objectives: </strong>The objective of the assessment aims to assess the situation of  neonatal health in intervention VDCs. <strong>Methodology:</strong> Baseline  assessment, trainings, supervision and monitoring was conducted during  project implementation. Tools are service registers used by Health  Workers and FCHVs, reporting formats, service cards, supervision  check-lists and reports, forms, regular review meetings&#8217; reports and  HMIS data. Primary data collected by questionnaires, in-depth interviews  with health workers and beneficiaries. Data has been regularly entered  into computer and reviewed on monthly basis from July 2004 to September  2006. <strong>Results: </strong>FCHVs have captured 58 percent of expected  pregnant women in their wards of VDCs. FCHVs have taken birth weights of  99% babies of registered babies. Of them 12% babies was found under  weight. FCHVs followed up 83% of these under weight babies. FCHVs  assessed as 23% of local bacterial infection and 15% of possible severe  bacterial infection. FCHVs first managed 70%, VHWs and MCHWs first  managed 16% and health institutions first managed 14% of Possible Severe  Bacterial Infection (PSBI). Of total 895 PSBI 39 percent neonates were  treated by home visits and 44% by health facilities. In the intervention  area 68% population has been occupied by Dalits, Indigenous people and  Muslims which are considered as Disadvantaged Groups (DAG) in Morang  district. NMR is estimated as 21 per 1000 live births in the district. <strong>Conclusion: </strong>MINI has served neonates mainly for disadvantaged population living  in the community level in Morang district. It has played its role in  lowering NMR. It has also supported other existing public health  programmes. <strong>Recommendation:</strong> It demands close monitoring of  overall programmes. Some incentives for FCHV and CHWs are needed.  Provision of application of local antibiotics on cord is a issue which  often attracts attention to be added in the national protocol.</p>
<p><strong> </strong></p>
<p><strong>Key words</strong></p>
<p>Neonatal Mortality, FCHV, VHW, MCHW, Morang,</p>
<p>&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8211;</p>
<p><strong> </strong></p>
<p><strong>Background</strong></p>
<p>Nepal is one of the countries having highest IMR in the world. Since  the proportion of NMR is almost constant despite there is remarkable  decrease of IMR over a decade of 1991 to 2001 in the country.<a href="#_edn1">[1]</a></p>
<p>Nepal has experienced the trend as remarkable decrease in &lt;5 yrs  mortality but no changes in neonatal mortality rate. Safe motherhood  programmes, Community Based-Integrated Management of Childhood Illness  (CB-IMCI) programmes are going on in primary health care package, but it  is inadequate to fulfill the requirement of basic neonatal health care  services. On this background, National Neonatal Health Policy 2004 has  been formulated in the country. Policy has opened rooms for piloting  neonatal health care projects in districts. Morang district has got  neonatal health care pilot programme named as Morang Innovative Neonatal  Intervention (MINI), which aims at reducing neonatal deaths by  controlling neonatal infections. Neonatal period is classically defined  as first 28 days of life. But, MINI has defined neonatal period as the  first 60 days of life in the programme. A similar neonatal programme <em>Projahnmo  Project Shylet </em>in Bangladesh<a href="#_edn2">[2]</a> defined the neonatal period as the first 40  days of life.</p>
<p>Human Development Indicators 2001<a href="#_edn3">[3]</a> of Morang district are in better condition in  the Eastern region and country as well. But population size of the  district is second highest in the country and highest in the Eastern  development region. A joint effort of District Public Health Office  (DPHO) Morang and Morang Innovative Neonatal Intervention (MINI) or John  Snow International (Research &amp; Training) has got two years  achievements and experiences in Morang district. About nine months  period has been passed solely in preparation phase for training for  trainers, training for health workers and FCHVs in the communities.  Service intervention was begun from June 2005 in 21 Village Development  Committees (VDC) in the district.</p>
<h1>Objectives</h1>
<p>Objectives of the study is to assess the effectiveness of the  programme by assessing situation of neonatal health in the population of  intervention VDCs and compare it with non-intervention VDCs. Objective  of the study also includes comparing other existing programme  performance in intervention and non-intervention VDCs.</p>
<h1>Methodology</h1>
<p>It is a retrospective comparative assessment. Series of trainings,  supervision and monitoring was conducted during project implementation.  Interventions were ANC counseling, baby weight taking, treatment and  refer of neonatal infections and PNC counseling by FCHVs and CHWs.  Expected outcome was identifying birth weights, diagnosis of neonatal  infection and treatment or refer to the health institutions. Tools used  were service registers used by Health Workers and FCHVs, Reporting  Formats, Service Cards, Supervision Check-lists, questionnaires. Study  of Secondary data from MINI data base was taken place. Health Management  Information System (HMIS), Regular Review Meetings&#8217; reports,  Supervision and monitoring reports, published reports and forms: birth  information (form A), diagnosis record (form B), vital statistics after 2  months (form C) and treatment record (form D) are also taken as tools.  Primary data collection by in-depth interviews with health workers and  beneficiaries from randomly selected sites using check lists. Data  Processing: Data has been put regularly into computer under access and  excel software and analyzed it monthly. DPHO Morang, District Technical  Working Group (DTWG) and MINI programme have fulfilled their  responsibilities of managing and analyzing data during intervention.  According to the baseline household survey<a href="#_edn4"><sup><sup>[4]</sup></sup></a>, the selection of VDCs  to receive the package of interventions was done by randomly selecting 2  out of 6 PHCs and 4 out of 10 health posts (both done proportionate to  the number of VDCs they serve).</p>
<h1>Results</h1>
<p>Table 1. Castes and ethnics distribution of service users in  intervention area.</p>
<table border="1" cellspacing="0" cellpadding="0" width="487">
<tbody>
<tr>
<td rowspan="2" width="250"><strong>Caste/Ethnics</strong></td>
<td colspan="2" width="237" valign="bottom"><strong>Service received    (n=2533)</strong></td>
</tr>
<tr>
<td width="137" valign="top">Number</td>
<td width="100" valign="top">Percentage</td>
</tr>
<tr>
<td width="250" valign="bottom">Brahmin</td>
<td width="137" valign="top">167</td>
<td width="100" valign="top">14%</td>
</tr>
<tr>
<td width="250" valign="bottom">Chettri</td>
<td width="137" valign="top">143</td>
<td width="100" valign="top">12%</td>
</tr>
<tr>
<td width="250" valign="bottom">Newars</td>
<td width="137" valign="top">41</td>
<td width="100" valign="top">3%</td>
</tr>
<tr>
<td width="250" valign="bottom">DAG (Dalits, Aadibasi Janajati)</td>
<td width="137" valign="top">740</td>
<td width="100" valign="top">62%</td>
</tr>
<tr>
<td width="250" valign="bottom">Muslims</td>
<td width="137" valign="top">68</td>
<td width="100" valign="top">6%</td>
</tr>
<tr>
<td width="250" valign="bottom">Others</td>
<td width="137" valign="top">37</td>
<td width="100" valign="top">3%</td>
</tr>
</tbody>
</table>
<p>Table 1 shows distribution of the caste and ethnics receiving  services in population from 21 intervention VDCs. In the intervention  area 68% population has been occupied by Dalits, Indigenous people and  Muslims which are considered Disadvantaged Groups (DAG) in Morang  district. Brahmin 14%, Chhetri 12%, Newars 3% and others 3% have also  taken services from this programme.</p>
<p>Table 2. Service indicators regarding Home visits in Intervention  Area</p>
<table border="1" cellspacing="0" cellpadding="0">
<tbody>
<tr>
<td width="444" valign="top"><strong>Indicators</strong></td>
<td width="107" valign="top"><strong>Number</strong></td>
<td width="88" valign="top"><strong>%</strong></td>
</tr>
<tr>
<td width="444" valign="top">Expected pregnancies in 21 VDCs</td>
<td width="107" valign="top">10,282</td>
<td width="88" valign="top"></td>
</tr>
<tr>
<td width="444" valign="top">Total births recorded by FCHVs</td>
<td width="107" valign="top">5,957</td>
<td width="88" valign="top">58</td>
</tr>
<tr>
<td width="444" valign="top">Babies for whom weight was taken by FCHVs  among record   taken</td>
<td width="107" valign="top">5,925</td>
<td width="88" valign="top">99</td>
</tr>
<tr>
<td width="444" valign="top">Low body weight baby recorded</td>
<td width="107" valign="top">682</td>
<td width="88" valign="top">12</td>
</tr>
<tr>
<td width="444" valign="top">Low body weight baby attended 4 follow up  visits</td>
<td width="107" valign="top">564</td>
<td width="88" valign="top">83</td>
</tr>
<tr>
<td width="444" valign="top">Local Bacterial Infections assessed by  FCHVs</td>
<td width="107" valign="top">1,381</td>
<td width="88" valign="top">23</td>
</tr>
<tr>
<td width="444" valign="top">Possible Severe Bacterial Infection (PSBI)</td>
<td width="107" valign="top">895</td>
<td width="88" valign="top">15</td>
</tr>
<tr>
<td width="444" valign="top">Possible Severe Bacterial Infections first  managed by- FCHV</p>
<p>- VHW/MCHW</p>
<p>- Health facilities</td>
<td width="107" valign="top">630</p>
<p>144</p>
<p>121</td>
<td width="88" valign="top">70</p>
<p>16</p>
<p>14</td>
</tr>
<tr>
<td width="444" valign="top">First dose of Gentamicin injected at:- Home</p>
<p>- Health Facilities</p>
<p>- Others</td>
<td width="107" valign="top">282</p>
<p>324</p>
<p>128</td>
<td width="88" valign="top">39</p>
<p>44</p>
<p>17</td>
</tr>
</tbody>
</table>
<p>Table 2 indicates as FCHVs have captured 58 percent of expected  pregnant women in their wards of VDCs. It is noted that 58% of  households are visited by FCHVs.  FCHVs have taken birth weights of 99%  babies for whom weight was taken. Of them 12% babies was found under  weight. FCHVs followed up 83% of these under weight babies. FCHVs  assessed as 23% of local bacterial infection and 15% of possible severe  bacterial infection. FCHVs first managed 70%, VHWs and MCHWs have  managed 16% and 14% managed by health institutions of Possible Severe  Bacterial Infection (PSBI). Of total 895 PSBI 39 percent neonates were  treated by home visits and 44% by health facilities. It is noted that  these activities are not undertaken by FCHVs in non-intervention VDCs or  they usually did not do these jobs.</p>
<p>Table 3. Neonatal Mortality Rate in Morang following MINI  Intervention</p>
<table border="1" cellspacing="0" cellpadding="0">
<tbody>
<tr>
<td width="187" valign="top">Observations Points</td>
<td width="132" valign="top">Total Births   Recorded</td>
<td width="132" valign="top">Total Deaths   Recorded</td>
<td width="132" valign="top">NMR per 1000 live   births</td>
</tr>
<tr>
<td width="187" valign="top">May 2005 (At   Beginning)</td>
<td width="132" valign="top">420</td>
<td width="132" valign="top">13</td>
<td width="132" valign="top"></td>
</tr>
<tr>
<td width="187" valign="top">May 2006 (After 1   year)</td>
<td width="132" valign="top">6046</td>
<td width="132" valign="top">119</td>
<td width="132" valign="top">21</td>
</tr>
</tbody>
</table>
<p>Table 3 shows the status of NMR in Morang. At the beginning of the  intervention of MINI, it was total 13 neonatal deaths recorded out of  420 births records. After one year of intervention neonatal deaths had  been recorded 114 out 6046 births. NMR may be estimated as 21 per 1000  live births in the district. According to census 2001<a href="#_edn5">[5]</a>, NMR is 39 per 1000 live births in Nepal.</p>
<p>Table 4. Comparison of district&#8217;s achievement over Pre and Post MINI  intervention</p>
<table border="0" cellspacing="0" cellpadding="0" width="438">
<tbody>
<tr>
<td width="52" valign="bottom">SN</td>
<td width="229">Indicators</td>
<td width="75">2061/62</td>
<td width="82">2062/63</td>
</tr>
<tr>
<td width="52" valign="bottom">1</td>
<td width="229">BCG</td>
<td width="75">94</td>
<td width="82">100</td>
</tr>
<tr>
<td width="52" valign="bottom">2</td>
<td width="229">DPT3</td>
<td width="75">73</td>
<td width="82">100</td>
</tr>
<tr>
<td width="52" valign="bottom">3</td>
<td width="229">Measles</td>
<td width="75">80</td>
<td width="82">91</td>
</tr>
<tr>
<td width="52" valign="bottom">4</td>
<td width="229">TT2</td>
<td width="75">62</td>
<td width="82">61</td>
</tr>
<tr>
<td width="52" valign="bottom">5</td>
<td width="229">4 ANC visits</td>
<td width="75">40</td>
<td width="82">44</td>
</tr>
<tr>
<td width="52" valign="bottom">6</td>
<td width="229">PNC Visit</td>
<td width="75">38</td>
<td width="82">39</td>
</tr>
</tbody>
</table>
<p>Table 4 indicates that BCG, DPT3 and Measles vaccination coverage was  94%, 73% and 80% in the year 2061/62 which increased as 100%, 100% and  91% respectively in the year 2062/63. Similarly, Target achievement of  TT2, 4ANC visits and PNC visits in FY 2061/62 was 62%, 40% and 38% which  found 61%, 44% and 39% respectively in the year 2062/63. Most of the  indicators found improved in FY 2062/63 than previous year.</p>
<p>Table 5. Comparison of Target Vs Achievement in between Intervention  and Non-Intervention VDCs</p>
<table border="0" cellspacing="0" cellpadding="0">
<tbody>
<tr>
<td rowspan="2" width="49" valign="bottom">S.N.</td>
<td rowspan="2" width="96">Indicators</td>
<td colspan="3" width="228">Intervention VDCs   (21)</td>
<td colspan="3" width="240">Non-Intervention   VDCs (44)</td>
</tr>
<tr>
<td width="72">Target</td>
<td width="108">Achievement</td>
<td width="48">%</td>
<td width="84">Target</td>
<td width="108">Achievement</td>
<td width="48">%</td>
</tr>
<tr>
<td width="49" valign="bottom">1</td>
<td width="96">BCG</td>
<td width="72">7256</td>
<td width="108">6817</td>
<td width="48">94</td>
<td width="84">10981</td>
<td width="108">10920</td>
<td width="48">99</td>
</tr>
<tr>
<td width="49" valign="bottom">2</td>
<td width="96">DPT3</td>
<td width="72">7256</td>
<td width="108">7382</td>
<td width="48">100</td>
<td width="84">10981</td>
<td width="108">11561</td>
<td width="48">100</td>
</tr>
<tr>
<td width="49" valign="bottom">3</td>
<td width="96">Measles</td>
<td width="72">7256</td>
<td width="108">6365</td>
<td width="48">88</td>
<td width="84">10981</td>
<td width="108">10484</td>
<td width="48">95</td>
</tr>
<tr>
<td width="49" valign="bottom">4</td>
<td width="96">TT2</td>
<td width="72">11436</td>
<td width="108">6901</td>
<td width="48">60</td>
<td width="84">17307</td>
<td width="108">12202</td>
<td width="48">71</td>
</tr>
<tr>
<td width="49" valign="bottom">5</td>
<td width="96">ANC 4 visit</td>
<td width="72">11436</td>
<td width="108">4613</td>
<td width="48">50</td>
<td width="84">17307</td>
<td width="108">5402</td>
<td width="48">47</td>
</tr>
<tr>
<td width="49" valign="bottom">6</td>
<td width="96">PNC Visit</td>
<td width="72">11436</td>
<td width="108">3721</td>
<td width="48">33</td>
<td width="84">17307</td>
<td width="108">5986</td>
<td width="48">35</td>
</tr>
</tbody>
</table>
<p>Table 5 shows that achievement of BCG coverage in intervention is 94  percent, whereas it is 99 percent in non-intervention VDCs. Similarly,  Measles coverage in intervention VDCs is 88 percentages, whereas it is  95 percentages in non-intervention VDCs. ANC 4 visit is 50 percent in  intervention VDCs whereas it is 47 in non-intervention VDCs. Proportion  of delivery conducted by health workers is 12 percent in intervention  whereas it is 9 percent in non-intervention VDCs. Status of EPI program  coverage in intervention VDCs has been found lower than non-intervention  VDCs. However, coverage or achievement of rest of the programme such as  safe motherhood and nutrition programme has got positive trend.</p>
<p>Table 6. Comparison of Per PHC-ORC Served in between Intervention and  Non-Intervention VDCs</p>
<table border="0" cellspacing="0" cellpadding="0">
<tbody>
<tr>
<td rowspan="2" width="217">Indicators</td>
<td colspan="3" width="216">Intervention VDCs   (21)</td>
<td colspan="3" width="204">Non-Intervention VDCs   (44)</td>
</tr>
<tr>
<td width="60">Clinics</td>
<td width="72">Clients</td>
<td width="84">Per Clinic</td>
<td width="60">Clinics</td>
<td width="60">Clients</td>
<td width="84">Per Clinic</td>
</tr>
<tr>
<td width="217">PHC-ORC served   (2061/62)</td>
<td width="60">968</td>
<td width="72">32300</td>
<td width="84">33</td>
<td width="60">1919</td>
<td width="60">50296</td>
<td width="84">26</td>
</tr>
<tr>
<td width="217">PHC-ORC served   (2062/63)</td>
<td width="60">1005</td>
<td width="72">31653</td>
<td width="84">31</td>
<td width="60">2117</td>
<td width="60">60618</td>
<td width="84">29</td>
</tr>
<tr>
<td width="217">Trend of clients per clinic</td>
<td width="60"></td>
<td width="72"></td>
<td width="84">-</td>
<td width="60"></td>
<td width="60"></td>
<td width="84">+</td>
</tr>
</tbody>
</table>
<p>Table 6 shows the number of clients served per clinic was 26 in FY  2061/62 which increased as 29 in 2062/63. Likewise number of clients  served by a clinic in intervention was 33 in FY 2061/62 which dropped as  31 in FY 2062/63. Therefore, the trend of PHC-ORC serving per clinic is  found increased in non-intervention VDCs whereas decreased in  intervention VDCs. The CPR in Morang is considered to be highest in  Eastern development region.<a href="#_edn6">[6]</a> Its major proportion is occupied by Voluntary  Surgical Contraception (VSC).</p>
<p>Researcher attempted to take some in-depth interviews with some  beneficiaries and health workers in field visits. A mother of a neonate  who was recently recovered from the treatment said, &#8220;This programme is  effective program which take care of we poor and Dalits people. We are  really grateful to the government.&#8221; A VHW said &#8220;we have got two-three  hours more work load after this MINI intervention. Since almost all  neonates get well from the treatment community people and/or caretakers  have acknowledged our treatment. Now we have found us differently in our  profession. We are satisfied with the programme. Although, it might  have affected to conduct the EPI-ORC, PHC-ORC sessions, we are trying to  manage it.&#8221;</p>
<p>Some technical problems are found in treatment protocol which may  requires consideration. As per our protocol health workers leaves cut  umbilicus by applying nothing. Some caretakers are tended to put dust  over the umbilicus since they see fresh bleeding. One case of neonatal  infection of such incident was investigated in the district. Therefore,  application of antiseptic on umbilical cord is felt need of health  workers as they often reported in the review meetings. It is a subject  to be reviewed in the infection control protocol.<a href="#_edn7">[7]</a></p>
<h1>Discussion</h1>
<p>According to DoHS Annual Report 2004/2005,<a href="#_edn8">[8]</a> the ANC first visits as % expected a  pregnancy is 77.7% in Morang and national average is 68.8%. The highest  numbers of neonatal deaths are in south-central Asian countries and the  highest rates are generally in sub-Saharan Africa. The countries in  these regions (with some exceptions) have made little progress in  reducing such deaths in the past 10–15 years. Globally, the main direct  causes of neonatal death are estimated to be preterm birth (28%), severe  infections (26%), and asphyxia (23%). Neonatal tetanus accounts for a  smaller proportion of deaths (7%), but is easily preventable. Low birth  weight is an important indirect cause of death. Maternal complications  in labour carry a high risk of neonatal death, and poverty is strongly  associated with an increased risk. Preventing deaths in newborn babies  has not been a focus of child survival or safe motherhood programmes.  While we neglect these challenges, 450 newborn children die every hour,  mainly from preventable causes, which is unconscionable in the 21st  century.<a href="#_edn9">[9]</a></p>
<p>There is considerable interest in Nepal and other countries in  addressing neonatal mortality.  Nepal has demonstrated a remarkable  decline in infant and child mortality over the past 2 decades.  However,  there has been less improvement in neonatal mortality, and an  increasing proportion of under-5 deaths (40%) are now in the neonatal  period.<a href="#_edn10">[10]</a> Proportion of home delivery in intervention  VDCs of Morang<a href="#_edn11">[11]</a> district is 69.6% which is still vast  majority 86.7% in Kailali<a href="#_edn12">[12]</a> and its national<a href="#_edn13">[13]</a> average is 88.9%. Nepal Demographic and  Health Survey 2001 has estimated that in Nepal nearly 50,000 children  under one year of age die every twelve months. Two third of them die  within 28 days of age, resulting 30,000 neonatal deaths per year. This  means three to four newborns are dying every hour in Nepal. The majority  (86.1%) of deaths occurred at home, with only 141 (13.2%) occurring at  the health facility.<a href="#_edn14">[14]</a> A study of low birth weight from four  regional hospitals has found a weighed mean incidence of 27%. The  strongest risk factors for low birth weight were maternal weight,  previous preterm delivery, short birth interval and paternal employment  in Agriculture.<a href="#_edn15">[15]</a></p>
<p>People have well accepted neonatal health services provided by FCHV,  MCHW and VHW at community level. Mothers feel convenient home visits,  since they reluctant to take out their neonates from house due to  cultural barrier. Now, people are gradually changing their attitude and  behavior regarding taking care of neonatal care in time. People are  impressed with the cure rate of Gentamicin injection. Neonates got well  from the treatment even those neonates who were given up their hope by  their parents to live any longer. VHWs and MCHWs play vital role in the  MINI programme. They have provided home visits for curative services at  home. This is one of the first programmes which have established warm  relation ship with people by health workers at the door of clients.  Community has recognized health workers are helpful for us who save life  of neonates from the mouth of deaths in our own house.  Recognition  from people is one of the major factors which made health workers  motivated towards the neonatal health programme. District health system  have accepted this programme as a part of own regular programme which  need based and useful. Now, system has adopted this programme and can  run even after support from partners would not be any longer.<a href="#_edn16">[16]</a></p>
<p>This programme has been able to include socially marginalized caste  and ethnics who are hard to access due to socio-economic and cultural  factors. Service users from disadvantaged groups such as <em>Dalits,  indigenous people</em> and <em>Muslims</em> have comprised of 60 percent of  the total service users population.</p>
<p>So many positive trend on safe-motherhood, family planning, and  CB-IMCI been reported. But EPI coverage and coverage of PHC-ORC are  adversely affected by the programme since it is relatively lower than  the non-intervention area. Routine immunization and PHC-ORC are  adversely affected due to double responsibilities of attending  Gentamicin injection and EPI session or PHC-ORC on the same day. This is  a big challenge for district management which requires due attention  for prevention of adverse effect on EPI session and PHC-ORC.</p>
<p>Review meetings report<a href="#_edn17">[17]</a> on reproductive health or safe motherhood  programme have revealed issues to be considered while formulating  comprehensive maternal and child health programme in the district. There  was already provision of Birth Preparedness Packages (BPP) for TBA in  the district. A supportive partner BNMT put some its effort on the  promotion of BPP is selected VDCs. But it has reported that it was  inadequate. More orientations for TBAs and pregnant women are needed and  more IEC materials to be produced for all VDCs in the district.</p>
<h1>Conclusion</h1>
<p>In Morang, MINI programme has involved Community Health Workers and  Female Community Health Volunteers in serving neonates. Remarkable  numbers of neonates are covered by the programme. Morang district has  got estimated NMR as 21/1000 live births in 2006. The neonatal health  programme has supported other existing public health programme. But  performance of EPI-ORC and PHC-ORC are slightly decreased in  intervention area which demands close and regular monitoring. Success is  possible in low-income countries without access to high technology.<a href="#_edn18">[18]</a> However, incentives for FCHV such as  providing bicycle, dress, monthly meeting allowance is necessary.  Similarly an incentive package for Community Health Workers (CHW) is  also required to make effective neonatal health care programme.</p>
<h1>Acknowledgement</h1>
<p>Researcher duly acknowledges the support of JSI R&amp;T for technical  and financial support. Sincere thanks goes to Dr. B.D. Chataut, Dr.  Neena Khadka, Dr. Penny Dawson, Dr. Sudhir Khanal, and Dr. Jagannath  Sharma, for providing technical guidelines in the programme. Thanks also  go to Mr. Ram Bahadur Baniya, Mr. Vijay Sing GC, Mr. Tekraj Koirala and  all DPHO and MINI staff for playing vital role in project  implementation with keeping mutual cooperation. At last but not least  thanks goes to District Technical Working Group (DTWG) for the support  and guidance.</p>
<h1>References</h1>
<hr size="1" /><a href="#_ednref1">[1]</a> DoHS. National Neonatal Health Policy  2004, Department of Health Services, Teku, Kathmandu,  Nepal, 2004.</p>
<p><a href="#_ednref2">[2]</a> Peter J Winch, M Ashraful Alam, Afsana  Akther, et.al. Local understandings of vulnerability and  protection  during the</p>
<p>neonatal period in Sylhet district, Bangladesh: a qualitative study,  Lancet 2005; 366: 478–85.</p>
<p><a href="#_ednref3">[3]</a> UNDP. Report on Human Development Index.  2004.</p>
<p><a href="#_ednref4">[4]</a> DPHO, JSI, SNL. Baseline Survey Report on  Neonatal Health in Morang   District Nepal. 2005.</p>
<p><a href="#_ednref5">[5]</a> CBS. Census Report. National Planning  Commission, Central Bureau of Statistics, Kathmandu Nepal, 2001.</p>
<p><a href="#_ednref6">[6]</a> ERHD. Annual Reports, MoHP, Eastern  Regional Health Directorate Dhankuta, 2057/58, 2058/59, 2059/60,  2060/61,</p>
<p>2061/62.</p>
<p><a href="#_ednref7">[7]</a> Luke C Mullany, Gary L Darmstadt, Subarna K  Khatry, et al. Topical applications of Chlorhexidine to the  umbilical  cord</p>
<p>for prevention of Omphalitis and neonatal mortality in southern  Nepal: a Community-based, cluster-randomised trial.</p>
<p>Lancet 2006; 367: 910–18.</p>
<p><a href="#_ednref8">[8]</a> DoHS. Annual Report, Ministry of Health  and Population, Department of Health Services, Kathmandu,</p>
<p>Nepal, 2004/2005.</p>
<p><a href="#_ednref9">[9]</a> Joy E Lawn, Simon Cousens, Jelka Zupan. 4  million neonatal deaths: When? Where? Why? www.thelancet.com retrieved</p>
<p>on March  5, 2005.</p>
<p><a href="#_ednref10">[10]</a> UNICEF. Nepal Multiple Indicator  Surveillance. Fifth Cycle:  Care During Pregnancy and Delivery:</p>
<p>Implications for Protecting the Health of Mothers and their Babies.  June 1998.</p>
<p><a href="#_ednref11">[11]</a> DPHO Morang/MINI. Baseline Survey Report  on Neonatal Health in Morang District Nepal. 2005.</p>
<p><a href="#_ednref12">[12]</a> SNL/CSF. Baseline Survey Report on  Saving Newborn Lives in 18 VDCs and 1 municipality of Kailali, 2003.</p>
<p><a href="#_ednref13">[13]</a> DoHS. Demographic and Health Survey,  Ministry of Health Department of Health Services, 2001.</p>
<p><a href="#_ednref14">[14]</a> F. Baiden1, A. Hodgson1, M. Adjuik1,  et.al. Trend and causes of neonatal mortality in  the Kassena– Nankana  district of</p>
<p>northern Ghana, 1995–2002, Tropical Medicine and International  Health,  Volume 11 no 4 pp 532–539 April 2006.</p>
<p><a href="#_ednref15">[15]</a> MIRA/UNICEF. Low Birth Weight prevalence  and associated factors in four regions of Nepal, Kathmandu. 2000.</p>
<p><a href="#_ednref16">[16]</a> Subba NR. Assessment Report on Morang  Innovative Neonatal Intervention. 2006.</p>
<p><a href="#_ednref17">[17]</a> DPHO, Annual report, District Public  Health Morang. 2061/62.</p>
<p><a href="#_ednref18">[18]</a> Jose Martines, Vinod K Paul, Zulfiqar A  Bhutta, et.al. Neonatal survival: a call for action. Lancet 2005; 365:  1189–97.</p>


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		<title>The Morang Innovative Neonatal Intervention (MINI) Program</title>
		<link>http://www.nrsubba.com.np/2008/10/the-morang-innovative-neonatal-intervention-mini-program.html/</link>
		<comments>http://www.nrsubba.com.np/2008/10/the-morang-innovative-neonatal-intervention-mini-program.html/#comments</comments>
		<pubDate>Fri, 03 Oct 2008 21:08:12 +0000</pubDate>
		<dc:creator>nrsubba</dc:creator>
				<category><![CDATA[Research]]></category>

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		<description><![CDATA[<strong><a href="/files/NIC3_Penny_Dawson_Nawraj_Subba.pdf" target="_blank">View PDF</a></strong>]]></description>
			<content:encoded><![CDATA[<p>This presentation was presented in an International seminar in Bangkok by Nawaraj Subba and Penny Dawson.</p>
<p><strong><a href="/wp-content/uploads/NIC3_Penny_Dawson_Nawraj_Subba.pdf" target="_blank">View PDF</a></strong></p>


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		<title>A Study of Public Health Indicators of Morang Nepal by Lot Quality Assurance Sampling</title>
		<link>http://www.nrsubba.com.np/2008/10/a-study-of-public-health-indicators-of-morang-nepal-by-lot-quality-assurance-sampling.html/</link>
		<comments>http://www.nrsubba.com.np/2008/10/a-study-of-public-health-indicators-of-morang-nepal-by-lot-quality-assurance-sampling.html/#comments</comments>
		<pubDate>Thu, 02 Oct 2008 20:52:37 +0000</pubDate>
		<dc:creator>admin</dc:creator>
				<category><![CDATA[Research]]></category>

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		<description><![CDATA[<!--[if gte mso 9]><xml>     Normal   0         false   false   false                             MicrosoftInternetExplorer4   </xml><![endif]--><!--[if gte mso 9]><xml>     </xml><![endif]--><!--[if !mso]><object  classid="clsid:38481807-CA0E-42D2-BF39-B33AF135CC4D" id=ieooui></object> <style> st1\:*{behavior:url(#ieooui) } </style> <![endif]-->  <!--[if gte mso 10]> <style>  /* Style Definitions */  table.MsoNormalTable 	{mso-style-name:"Table Normal"; 	mso-tstyle-rowband-size:0; 	mso-tstyle-colband-size:0; 	mso-style-noshow:yes; 	mso-style-parent:""; 	mso-padding-alt:0in 5.4pt 0in 5.4pt; 	m]]></description>
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<p>This article is the result of findings of Lot Quality Assurance Sampling  that present and compares the findings of Public Health status  indicators of Morang district over 2004 and 2006. Surveys&#8217; findings are  also been compared with data that come from Health Management  Information System. This study aimed to see the trend of status of  coverage of public health services in the district.<span id="more-52"></span></p>
<p>Nawaraj Subba<sup>1</sup> and Gagan Gurung<sup>2</sup></p>
<p>Corresponding author: [1]Nawaraj Subba, District Public Health Office, Morang, Nepal; email: nrsubba@hotmail.com, website: www.subba.co.nr and 2Gagan Gurung SCF District Field Office, Morang,  Nepal.</p>
<p><strong> </strong></p>
<p><strong>ABSTRACT </strong></p>
<p><strong> </strong></p>
<p>This article is the result of findings of Lot Quality Assurance Sampling that present and compares the findings of Public Health status indicators of Morang district over 2004 and 2006. Surveys&#8217; findings are also been compared with data that come from Health Management Information System. This study aimed to see the trend of status of coverage of public health services in the district. Contraceptive Prevalence Rate (CPR) has slightly been increased from 41.0% in 2004 to 42.0% in 2006. Percentage of women having 4 ANC by Health Workers increased from 42.0% in 2004 to 46.0% in 2006. Proportion of mothers who received iron tablets during last pregnancy increased from 70.0% in 2004 to 80.0% in 2006. Similarly, proportion of mothers who received Vita A during last pregnancy also increased from 45.0% in 2004 to 55.0% in 2006. Percentage of mother who fed breast milk within 1 hour during last natal period increased from 24.0% in 2004 to 31.0% in 2006. Percentage of delivery conducted by health workers has been also increased from 52.0% in 2004 to 57.0% in 2006.</p>
<p><strong> </strong></p>
<p><strong>Keywords:</strong> LQAS, HMIS, PHC, Trend over two years, Data Analysis, Morang, Nepal.</p>
<p><strong>INTRODUCTION</strong></p>
<p><strong> </strong></p>
<p>Morang is one of the Terai district located in Eastern Development Region comprising of 65 VDCs where 66 governmental health institutions are providing Primary Health Care services. According to the UNDP report 2001,<sup>1</sup> Human Development Index of the district is in better position among the districts in Eastern Development Region. Health Management Information System (HMIS) has reported the coverage and achievement of the district which is in increasing trend. But, these data mainly include service indicators which are collected by service providers and volunteers. Some indicators which are necessary for planning process do not come from the HMIS.<sup>2</sup> Different studies and review reports noted that both over reporting and under reporting in the programmes are still remained.<sup>3</sup> Errors are found in the recording and reporting which begins right from the service providers while recording and reporting to health institutions. A descriptive cross sectional study is helpful to evaluate the situation of services and reporting status as well. Lot Quality Assurance Sampling (LQAS) method with random sampling has its own methodology to collect, analysis and interpretation of data. It gives us overall situation of a district as well as it indicates poor supervision areas in the district. The objective of survey is to assess the behavior as well as practice level of community regarding health related issues. Specific objectives are to assess the ANC/NC/PNC service status, assess immunization status of children and mother, assess utilization status of family planning services, assess the current status of primary health care out reach clinic (PHC-ORC), assess current status of health facility management committee (HFMC), and assess the Infection prevention practice status of health facilities.</p>
<p><strong>METHODS</strong></p>
<p>Study design: It is a descriptive study of cross-sectional type. Primary data collection by interviews with mothers, health workers, members of committees from randomly selected sites using questionnaires. Structured questionnaire were filled up by enumerator after having training. All data collected from questionnaire were entered into computer and processed using SPSS software. All precaution measures to prevent data entry errors were undertaken.</p>
<p><strong>Study Population</strong></p>
<p>A defining characteristic of LQAS uses a sample size of 19 for each SA. In this LQAS described by <em>Joseph J. Valedez, Willium Weiss, Corey Leburg, Robb Davis</em> state that randomly selected 19 samples from divided supervision areas is sufficient to distinguish between high and low coverage.<sup>4</sup> Samples were taken as- 1. Married women having children of 12 to 23 months (n= 133), 2. Members of PHC-ORC (n=55), 3. Members of HFMC (n=63), 4. Health facilities staff for infection prevention practices (n=63).</p>
<p><strong>Supervision Areas (SA)</strong></p>
<p>As per described by LQAS method district has been divided into seven supervision areas. The total number of 65 VDCs divided into 6 supervision areas as 1, 2,3,4,5, and 6. Biratnagar Sub metropolitan city has been taken as a supervision area 7. SAs are-</p>
<p><strong>Supervision Area A:</strong> Urlabari, Pathari, Sanischare, Rajghat, Hoklabari, Keraun, and Bayarban VDCs.</p>
<p><strong>Supervision Area B:</strong> Itahara, Amardaha, Govindapur, Jhurkia, Sijuwa, Bardanga, Mahadewa, Hasandaha, Takuwa, amgachi, and Dainia VDCs.</p>
<p><strong>Supervision Area C:</strong> Jhorahat, Bhaudaha, Indrapur, Belbari, Haraicha, Dangihat, Kaseni, Bahuni, Sidraha, Thalaha, Banigama and Motipur VDCs.</p>
<p><strong>Supervision Area D:</strong> Sundarpur, Dulari, Mrigaulia, Hattimudha, Siswani Badahara, Baijanathpur, Tanki, Lakhantari, Dangraha, Katahari and Siswani Jahada VDCs.</p>
<p><strong>Supervision Area E:</strong> Budhnagar, Darbesa, Babiabirta, Sorabhag, Bhatigach, Dadarbairia, Kadmaha, Amahi, Majhare, Nocha, Pokharia and Rangeli VDCs.</p>
<p><strong>Supervision Area F:</strong> Letang, Jante, Bhogateni, Warangi, Kerabari, Pati, Yangsila, Singhadevi, Madhumalla, Tandi, and Ramite VDCs.</p>
<p><strong>Supervision Area G:</strong> Biratnagar sub metropolitan ward No. 1, 2, 4, 5, 6, 7, 10, 11, 13, 14, 15, 16, 17, 18, 19, 20, and 22.</p>
<p><strong> </strong></p>
<p><strong>RESULTS</strong></p>
<p>Table 1.<strong> </strong>Comparison Table of Major Indicators between LQAS 2004<sup>5</sup> and 2006<strong> </strong></p>
<table border="1" cellspacing="0" cellpadding="0" width="635">
<tbody>
<tr>
<td width="41" valign="top"><strong>SN</strong></td>
<td width="314" valign="top"><strong>Indicators</strong></td>
<td width="104" valign="top"><strong>LQAS 2004</strong></td>
<td width="99" valign="top"><strong>LQAS 2006</strong></td>
<td width="76" valign="top"><strong>Trend</strong></td>
</tr>
<tr>
<td width="41" valign="top">1</td>
<td width="314" valign="top">Monthly Meetings (within last 3 months)</td>
<td width="104" valign="top">49.1</td>
<td width="99" valign="top">96.4</td>
<td width="76" valign="top">+</td>
</tr>
<tr>
<td width="41" valign="top">2</td>
<td width="314" valign="top">Addressed at least three health management issues</td>
<td width="104" valign="top">41.8</td>
<td width="99" valign="top">73.1</td>
<td width="76" valign="top">+</td>
</tr>
<tr>
<td width="41" valign="top">3</td>
<td width="314" valign="top">Having updated financial records and reports</td>
<td width="104" valign="top">88.5</td>
<td width="99" valign="top">92.2</td>
<td width="76" valign="top">+</td>
</tr>
<tr>
<td width="41" valign="top">4</td>
<td width="314" valign="top">Presence of above 1, 2,3</td>
<td width="104" valign="top">42.0</td>
<td width="99" valign="top">64.1</td>
<td width="76" valign="top">P=0.0029</td>
</tr>
</tbody>
</table>
<p>Table 1 indicates that the trend of monthly meetings held has been increased from 49.1% in 2004 to 96.4% in 2006. Similarly, committees addressing at least three health management issues also increased from 41.8 in 2004 to 73.1% in 2006. Health institutions having updated financial records and reports increased from 88.5% in 2004 to 92.2% in 2006. Proportion of PHC-ORC those met all three criteria viz monthly meetings within last 3 months, addressing at least three management issues and having updated financial records and reports have significantly been increased from 42.0% in 2004 to 64.1% in 2006 that is also statistically significant. Reactivation of PHC-ORC management Committee has been successfully concluded in entire district with the support of SCF.<sup>6</sup><br />
Table  2. Primary Health Care-Out Reach Clinic<strong> </strong></p>
<table border="1" cellspacing="0" cellpadding="0" width="631">
<tbody>
<tr>
<td width="40" valign="top"><strong>SN</strong></td>
<td width="324" valign="top"><strong>Indicators</strong></td>
<td width="95" valign="top"><strong>LQAS 2004</strong></td>
<td width="95" valign="top"><strong>LQAS 2006</strong></td>
<td width="76" valign="top"><strong>Trend</strong></td>
</tr>
<tr>
<td width="40" valign="top">1</td>
<td width="324" valign="top">ORC running on schedule</td>
<td width="95" valign="top">87.8</td>
<td width="95" valign="top">91.6</td>
<td width="76" valign="top">+</td>
</tr>
<tr>
<td width="40" valign="top">2</td>
<td width="324" valign="top">Meeting with minute (within last 3 months)</td>
<td width="95" valign="top">9.5</td>
<td width="95" valign="top">36.1</td>
<td width="76" valign="top">+</td>
</tr>
<tr>
<td width="40" valign="top">3</td>
<td width="324" valign="top">Provided all essential services as per protocol</td>
<td width="95" valign="top">41.9</td>
<td width="95" valign="top">56.2</td>
<td width="76" valign="top">+</td>
</tr>
<tr>
<td width="40" valign="top">4</td>
<td width="324" valign="top">ORC functioning with 1, 2,3</td>
<td width="95" valign="top">9.0</td>
<td width="95" valign="top">18.1</td>
<td width="76" valign="top">P=0.0978</td>
</tr>
</tbody>
</table>
<p>Table 2 shows that clinics running on schedule increased from 87.8% in 2004 to 91.6% in 2006. Similarly, ORC management committee&#8217;s meeting with taking minute has remarkably been increased from 9.5% in 2004 to 36.1% in 2006. All essential services provided by ORC as per protocol also been increased from 41.9% in 2004 to 56.2% in 2006. Proportion of those PHC-ORC who met all three criteria viz clinics which are running on schedule, meeting held with recorded minutes, and clinics providing all essential services package as per protocol has been improved from 9.0% in 2004 to 18.1% in 2006.</p>
<p>Table 3. Infection Prevention (%)</p>
<table border="1" cellspacing="0" cellpadding="0" width="631">
<tbody>
<tr>
<td width="41" valign="top"><strong>SN</strong></td>
<td width="323" valign="top"><strong>Indicators</strong></td>
<td width="95" valign="top"><strong>LQAS 2004</strong></td>
<td width="95" valign="top"><strong>LQAS 2006</strong></td>
<td width="76" valign="top"><strong>Trend</strong></td>
</tr>
<tr>
<td width="41" valign="top">1</td>
<td width="323" valign="top">Sterilization using functioning or boiling pot with cover</td>
<td width="95" valign="top">70.9</td>
<td width="95" valign="top">92.1</td>
<td width="76" valign="top">+</td>
</tr>
<tr>
<td width="41" valign="top">2</td>
<td width="323" valign="top">Disposal of sharp instruments and medical wastage properly</td>
<td width="95" valign="top">46.2</td>
<td width="95" valign="top">94.2</td>
<td width="76" valign="top">+</td>
</tr>
<tr>
<td width="41" valign="top">3</td>
<td width="323" valign="top">Having Puncture proof container</td>
<td width="95" valign="top">90.9</td>
<td width="95" valign="top">97.0</td>
<td width="76" valign="top">+</td>
</tr>
<tr>
<td width="41" valign="top">4</td>
<td width="323" valign="top">Wash hands with soap and water</td>
<td width="95" valign="top">92.6</td>
<td width="95" valign="top">94.1</td>
<td width="76" valign="top">+</td>
</tr>
<tr>
<td width="41" valign="top">5</td>
<td width="323" valign="top">IP Functioning with above 1, 2,3</td>
<td width="95" valign="top">46.1</td>
<td width="95" valign="top">68.3</td>
<td width="76" valign="top">P=0.0027</td>
</tr>
</tbody>
</table>
<p>Table 3 shows that practice of sterilization using functioning or boiling pot with cover is increased from 70.9% in 2004 to 92.1% in 2006. Similarly, disposal of sharp instruments and wastage properly remarkably increased from 46.2% in 2004 to 94.2% in 2006. The proportion of health institutions having punctured proof containers also increased from 90.9% in 2004 to 97.0% in 2006. Health workers who wash their hands with soap water are slightly increased from 92.6% in 2004 to 94.1% in 2006. Proportion of those health facilities who met all four criteria viz doing sterilization using functioning or boiling pot with cover, disposal of sharp instruments and medical wastage properly, having puncture proof container and washing hands with soap and water has significantly been improved from 46.1% in 2004 to 68.3% in 2006 which is also statistically significant. Training for health workers on infection prevention and supervision of health institutions are taken place for improving infection prevention. Supervisors from supporting partners are going to visit health facilities and giving supervision report including infection prevention which allowed taking action accordingly. Supplementary logistic supply and maintenance of equipments are also being done by supporting partners.<sup>7</sup></p>
<p>Table 4. Maternal and Child Health Status over LQAS 2004 and 2006<strong> </strong></p>
<table border="1" cellspacing="0" cellpadding="0" width="655">
<tbody>
<tr>
<td width="43" valign="top"><strong>SN</strong></td>
<td width="226" valign="top"><strong>Indicators</strong></td>
<td width="158" valign="top"><strong>LQAS 2004</strong></p>
<p>(Weighted Average)</td>
<td width="156" valign="top"><strong>LQAS 2006</strong></p>
<p>(Weighted Average)</td>
<td width="72" valign="top"><strong>Trend</strong></td>
</tr>
<tr>
<td width="43" valign="top">1</td>
<td width="226" valign="top">Contraceptive Prevalence Rate</td>
<td width="158" valign="top">41.1</td>
<td width="156" valign="top">42.1</td>
<td width="72" valign="top">+</td>
</tr>
<tr>
<td width="43" valign="top">2</td>
<td width="226" valign="top">% of women having 4 ANC by Health Workers</td>
<td width="158" valign="top">41.9</td>
<td width="156" valign="top">45.7</td>
<td width="72" valign="top">+</td>
</tr>
<tr>
<td width="43" valign="top">3</td>
<td width="226" valign="top">% of mothers who received iron tablets during last   pregnancy</td>
<td width="158" valign="top">70.2</td>
<td width="156" valign="top">80.1</td>
<td width="72" valign="top">+</td>
</tr>
<tr>
<td width="43" valign="top">4</td>
<td width="226" valign="top">% of mothers who received Vita A during last pregnancy</td>
<td width="158" valign="top">45.1</td>
<td width="156" valign="top">55.1</td>
<td width="72" valign="top">+</td>
</tr>
<tr>
<td width="43" valign="top">5</td>
<td width="226" valign="top">Complete Immunization (Card+ history)</td>
<td width="158" valign="top">90.3</td>
<td width="156" valign="top">92.9</td>
<td width="72" valign="top">+</td>
</tr>
<tr>
<td width="43" valign="top">6</td>
<td width="226" valign="top">% of mother who fed breast milk within 1 hr during last   natal period</td>
<td width="158" valign="top">24.1</td>
<td width="156" valign="top">31.3</td>
<td width="72" valign="top">+</td>
</tr>
<tr>
<td width="43" valign="top">7</td>
<td width="226" valign="top">% of mothers who received iron tablets during last PN   period</td>
<td width="158" valign="top">32.4</td>
<td width="156" valign="top">37.7</td>
<td width="72" valign="top">+</td>
</tr>
<tr>
<td width="43" valign="top">8</td>
<td width="226" valign="top">% of delivery conducted by skilled health workers</td>
<td width="158" valign="top">38.0</td>
<td width="156" valign="top">43.4</td>
<td width="72" valign="top">+</td>
</tr>
<tr>
<td width="43" valign="top">9</td>
<td width="226" valign="top">% of delivery conducted by HA, AHW, TTBA, VHW</td>
<td width="158" valign="top">17.0</td>
<td width="156" valign="top">13.3</td>
<td width="72" valign="top">-</td>
</tr>
<tr>
<td width="43" valign="top">10</td>
<td width="226" valign="top">% of delivery conducted by health workers</td>
<td width="158" valign="top">52.5</td>
<td width="156" valign="top">56.7</td>
<td width="72" valign="top">+</td>
</tr>
</tbody>
</table>
<p>Table 4 shows that Contraceptive Prevalence Rate had slightly been increased from 41.1% in 2004 to 42.1% in 2006. Percentage of women having 4 ANC by Health Workers increased from 41.9% in 2004 to 45.7% in 2006. Percentage of mothers who received iron tablets during last pregnancy increased from 70.2% in 2004 to 80.1% in 2006. Similarly, percentage of mothers who received Vita A during last pregnancy also increased from 45.1% in 2004 to 55.1% in 2006. Practices of breast feeding also been improved. Percentage of mother who fed breast milk within 1 hour during last natal period increased from 24.1% in 2004 to 31.3% in 2006. Percentage of delivery conducted by health workers also been increased from 52.5% in 2004 to 56.7% in 2006. It is encouraging to note that proportion of delivery conducted by skilled health workers is increasing from 38.0% in 2004 to 43.4% in 2006.</p>
<p><strong> </strong></p>
<p><strong>DISCUSSION </strong></p>
<p><strong> </strong></p>
<p>This article explored mainly coverage of different services in Morang district. Coverage is the percentage of people in any given area (a catchments area or supervision area) who know of and/or practice a recommended health behavior or who receive a particular service. Measles coverage, according to DPHO/HMIS 2062/63 is reported as 91.0% which is found 93.0% in LQAS 2006. According to DPHO/HMIS 2062/63,<sup>8</sup> CPR is reported as 69.6% which is found only 42.0% in LQAS 2006. SA 6 that is <em>Letang, Jante, Bhogateni, Warangi, Kerabari, Pati, Yangsila, Singhadevi, Madhumalla, Tandi</em> and <em>Ramite</em> VDCs are having comparatively poor CPR according to decision rule. According to DPHO/HMIS 2006, the percentage of women having four ANC by Health Workers is 41.9% which is found 45.7% in LQAS 2006. But, SA 6 has got comparatively poor coverage of fourth ANC visits as per decision rule. The percentage of mothers who received iron tablets during last pregnancy is 32.4% in LQAS 2004 which increased 37.7% in LQAS 2006. Similarly, the percentage of mothers who received Vita A during last pregnancy is 45.1% in LQAS 2004 which increased 55.1% in LQAS 2006. Complete immunization or measles vaccination is 92.9% which was traced by observing card and by taking history. SA 4 that is <em>Indrapur, Dulari, Mrigaulia, Tetaria, Hattimudha, Siswani Badahara, Baijanathpur, Tanki, Lakhantari, Dangraha, Katahari</em> and <em>Siswani Jahada</em> VDCs have got comparatively poor immunization coverage in the district. Delivery conducted by health workers is 52.5% in LQAS 2004 which increased 56.7% in LQAS. But, According to DPHO/HMIS 2062/63 it is only 23.0 percent. In Jhapa the delivery conducted by health workers was 21.8% in 2004<sup>9</sup> and 27.6% in 2006.<sup>10</sup> In Sunsari the delivery conducted by health workers was 13.2% in 2004<sup>11</sup> and 31.0% in 2006.<sup>12</sup></p>
<p><strong> </strong></p>
<p>In Morang, the status of coverage of Public Health Programme is increasing year by year. The impact of the coverage has resulted positive result in child health by decreasing infant mortality rate.<sup>13</sup> Supervision areas 4 and 6 are found comparatively weaker in achieving coverage. So, these areas draw attention of managers of district and community level institutions accordingly. Data those come from DoHS/HMIS<sup>14</sup> and survey findings resemble regarding EPI and safe motherhood programmes. But, data remarkably varies regarding CPR and delivery conducted by health workers in district. It is often been raised some questions about under reporting of delivery conducted by health workers which is as low as 23.0% in ERHD/HMIS.<sup>15</sup> Now, survey has discovered it as 56.7% deliveries conducted by health workers in Morang. Similarly, according to HMIS, Morang district has reported CPR as 69.6% which is also remarkably higher. But, CPR is only 42.1% found in the LQAS 2006. It might be due to proportion of CYP which is mainly occupied by VSC and of which most of the clients are coming from India and adjoining districts. However, findings of surveys have opened rooms for further assessment especially on the indicators as CPR and delivery conducted by health workers. Such type of LQAS surveys at regular interval are needed and to be institutionalized in district health system.</p>
<p><strong> </strong></p>
<p><strong>ACKNOWLEDGEMENT </strong></p>
<p>Authors appreciate with gratitude for the support provided by SCF (US) in conducting this study. Thanks also go to health workers from DPHO Morang and SCF District Field Office staff of Biratnagar involved in the study.</p>
<p><strong> </strong></p>
<p><strong>References</strong></p>
<p><strong> </strong></p>
<p>1 UNDP. Annual report on Human Development Index, 2001</p>
<p>2 DPHO/Morang. Report on Annual Review Meeting, 2060/61</p>
<p>3 DPHO/Morang. Report on EPI Micro planning in Morang district, District Public Health Office Morang, 2006</p>
<p>4 Valadez JJ, Weiss W, Leburg C, Davis R. A trainers Guide for Baseline Surveys and Regular Monitoring, NGO Networks, 2002</p>
<p>5 SCF. Lot Quality Assurance Sampling in Morang district Nepal, 2004</p>
<p>6 SCF. Field Report on PHC-ORC Reactivation Programme in Morang, 2005</p>
<p>7 NFHP. Field Report on Supervision of Morang District, 2005/2006</p>
<p>8 DPHO. Annual Report of District Public Health Office Morang, 2062/63</p>
<p>9 DPHO/Jhapa. Annual Report of District Public Health Office Jhapa, 2060/61</p>
<p>10 DPHO/Jhapa. Annual Report of District Public Health Office Jhapa, 2062/63</p>
<p>11 DHO/Sunsari. Annual Report of District Public Health Office Sunsari, 2060/61</p>
<p>12 DHO/Sunsari. Annual Report of District Public Health Office Sunsari, 2062/63</p>
<p>13 Subba NR. Assessment of Morang Innovative Neonatal Intervention, 2004</p>
<p>14 MoH/DoHS. Annual Report of Ministry of Health, Department of Health Services, 2061/62</p>
<p>15 ERHD. Annual Report of Eastern Regional Health Directorate Dhankuta, 2061/62</p>


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		<title>Health Seeking Behavior of Rajbanshi Community in Katahari and Baijanathpur of Morang District, Nepal</title>
		<link>http://www.nrsubba.com.np/2008/10/health-seeking-behavior-of-rajbanshi-community-in-katahari-and-baijanathpur-of-morang-district-nepal.html/</link>
		<comments>http://www.nrsubba.com.np/2008/10/health-seeking-behavior-of-rajbanshi-community-in-katahari-and-baijanathpur-of-morang-district-nepal.html/#comments</comments>
		<pubDate>Thu, 02 Oct 2008 20:47:53 +0000</pubDate>
		<dc:creator>admin</dc:creator>
				<category><![CDATA[Research]]></category>

		<guid isPermaLink="false"></guid>
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<p>The objective of the study was to  assess the practices of   using modern, self and alternative medication  on the basis of socio-economic status.<span id="more-51"></span></p>
<p><em>Subba NR<a title="_ftnref1" name="_ftnref1" href="#_ftn1"><strong>[a]</strong></a></em></p>
<p><strong> </strong></p>
<p><strong>Abstract</strong></p>
<p><strong> </strong></p>
<table border="1" cellspacing="0" cellpadding="0" width="667">
<tbody>
<tr>
<td width="103" valign="top">Introduction</td>
<td width="564" valign="top">In Nepal   there are numbers of ethnics having their own traditional health seeking   behavior. Rajbanshi is one of the indigenous people of Morang district whose   health seeking behavior varies depending upon their socio-economic status.</td>
</tr>
<tr>
<td width="103" valign="top">Objectives</td>
<td width="564" valign="top">The objective of the study was to assess the practices of   using modern, self and alternative medication on the basis of socio-economic status.</td>
</tr>
<tr>
<td width="103" valign="top">Methods</td>
<td width="564" valign="top">The study was a cross sectional study of descriptive type.   Information has been collected from the field survey by using semi-structured   questionnaires containing both open and close ended questions. Total 175   households of two VDCs was selected from the VDCs rosters using random number   table for convenience and to cover the expected households. Data were   analyzed utilizing the Epi Info 6.0 version.</td>
</tr>
<tr>
<td width="103" valign="top">Results</td>
<td width="564" valign="top">Modern, Alternative and Self medications were common in   Rajbanshi community. Modern medication was popular but was expensive to afford   as reported by majority people. Significant proportion of Rajbanshi people   having less than 2 bigahas land and uneducated was adopting self medication   in Katahari and Baijanathpur of Morang.</td>
</tr>
<tr>
<td width="103" valign="top">Conclusion</td>
<td width="564" valign="top">There is a relationship between economic, education status   and health seeking behavior in Rajbanshi community.</td>
</tr>
<tr>
<td width="103" valign="top">Key words</td>
<td width="564" valign="top">Rajbanshi, Health seeking behavior, Modern, Alternative   and Self-medication</td>
</tr>
</tbody>
</table>
<p><strong> </strong></p>
<p><strong>Introduction</strong></p>
<p><strong> </strong></p>
<p>Health Seeking Behavior is a usual habit of a people or a community that is resulted by the interaction and balance between health needs, health resources, socio-economic and cultural as well as national/ international contextual factors.<a title="_ednref1" name="_ednref1" href="#_edn1">[1]</a> It is behavior of using health services within existing health system or treatment seeking behavior of the latest illness as reported by them. This was categorized as (a) Modern medication such as Hospital, HP/SHP and private clinic (b) Alternative medication such as Ayurvedic and Homeopathic system of medication; and (c) Self-medication such as Dhami/Jhakri (Shaman healers), drug retailers, grocery keepers, drug peddlers, household medicine and other than modern and alternative medication.<strong> </strong>Kafle and Gartoulla<a title="_ednref2" name="_ednref2" href="#_edn2">[2]</a> and Gartaula<a title="_ednref3" name="_ednref3" href="#_edn3">[3]</a> have categorized self medication as Shamanism, Priest, Dhami-Jhakri, herbal, drug retailers, grocery, kit-bag, drug peddler, neighbour, following old medicine prescriptions etc and except the present prescription by qualified medical practitioners. WSMI<a title="_ednref4" name="_ednref4" href="#_edn4">[4]</a> has indicated as Self-medication is the use of specifically designed, labeled and authorized medicines available legally without prescription for the treatment or prevention of common illnesses, which can be recognized by the people. Traditional medicine is not included in the national health system.  If traditional medicines are legally available without a doctor&#8217;s prescription, then they are included in what we call self-medication. Alternative medicine is medicine which is outside the regular allopathic medicine.<a title="_ednref5" name="_ednref5" href="#_edn5">[5]</a> Sometimes it is accepted by national health plans for coverage and sometimes it is not.<a title="_ednref6" name="_ednref6" href="#_edn6">[6]</a> This would cover for example, acupuncture, ayurvedic, naturopathy, and homeopathic medicine etc.</p>
<p><strong>Methodology </strong></p>
<p><strong> </strong></p>
<p>This is a cross sectional and descriptive type of study based on information acquired from field visit carried out in January 2001. Semi structured questionnaire sheets containing both open and close ended question regarding health seeking behavior of the community were administered to 175 sample households of Katahari and Baijanathpur Village Development Committee (VDC) of Morang district. Sample were selected from the VDCs rosters using random number table and respondents were asked relevant questions with the history of illness/disease within three months from interview date. Of those who were ill/sick person of the above criteria were consulted for detailed information otherwise only demography was taken for the rest. Data were analyzed utilizing the Epi Info 6.0 statistical package. Data from pre-coded questions were entered into Epi Info 6.0 database. Attempts were made to minimize the potential error using Check file the data entry edit program. The Check file incorporated skip patterns, legal values and range checks that facilitated more rapid and accurate data entry. The participants were requested for Focal Group Discussion (FGD) to have one and half an hour&#8217;s sessions for the reason of their self-medication during household visits.  Personal contacts with self-medicated population within three months of study period were made to have 8 persons in one FGD and attempted total ten FGD with 80 persons. Verbal consent was taken before taking interviews and FGDs.</p>
<p><strong>Results </strong></p>
<p><strong> </strong></p>
<p>Table 1:  Education and Sickness (n=175).</p>
<table border="1" cellspacing="0" cellpadding="0">
<tbody>
<tr>
<td width="254" valign="top"><strong>Education</strong></td>
<td width="210" valign="top"><strong>Sickness (n)</strong></td>
<td width="128" valign="top"><strong>Percentage</strong></td>
</tr>
<tr>
<td width="254" valign="top">Educated</td>
<td width="210" valign="top">45</td>
<td width="128" valign="top">26.0</td>
</tr>
<tr>
<td width="254" valign="top">Uneducated</td>
<td width="210" valign="top">130</td>
<td width="128" valign="top">74.0</td>
</tr>
<tr>
<td width="254" valign="top">Total</td>
<td width="210" valign="top">175</td>
<td width="128" valign="top">100.0</td>
</tr>
</tbody>
</table>
<p>Table 1 presents the status of sickness on the basis of educational level in the community.</p>
<p>Proportion of felling sick of uneducated was higher as 74.0 percent (130) than educated 26.0 percentage (45). SLC pass and above was considered as educated and SLC failed and below were considered as uneducated in the study.</p>
<p>Table 2: Education and Medications (n=175).</p>
<table border="1" cellspacing="0" cellpadding="0">
<tbody>
<tr>
<td width="147" valign="top"><strong>Medications</strong></td>
<td width="154" valign="top"><strong>Uneducated (n=130)</strong></td>
<td width="154" valign="top"><strong>Educated (n=45)</strong></td>
<td width="139" valign="top"><strong>P &#8211; Value</strong></td>
</tr>
<tr>
<td width="147" valign="top">Modern Medication</td>
<td width="154" valign="top">126 (96.9)</td>
<td width="154" valign="top">42 (93.3)</td>
<td width="139" valign="top">0.3753</td>
</tr>
<tr>
<td width="147" valign="top">Self-Medication</td>
<td width="154" valign="top">85 (65.4)</td>
<td width="154" valign="top">14 (31.1)</td>
<td width="139" valign="top">0.0000063</td>
</tr>
<tr>
<td width="147" valign="top">Alternative Med.</td>
<td width="154" valign="top">27 (20.8)</td>
<td width="154" valign="top">13 (28.8)</td>
<td width="139" valign="top">0.2635</td>
</tr>
</tbody>
</table>
<p>Table 2 indicates that practice of using self-medication by uneducated Rajbanshi was significantly higher than educated (P&lt; 0.05).</p>
<p>Table 3:  Medications by Economic status (n=175).</p>
<table border="1" cellspacing="0" cellpadding="0">
<tbody>
<tr>
<td width="147" valign="top"><strong>Medication</strong></td>
<td width="124" valign="top"><strong>&lt;2 Bighas land </strong>(n=107)</td>
<td width="144" valign="top"><strong>2.1-4 Bighas land </strong>(n=22)</td>
<td width="120" valign="top"><strong>&gt;4 Bigha land </strong>(n=46)</td>
<td width="72" valign="top"><strong>P &#8211; Value.</strong></td>
</tr>
<tr>
<td width="147" valign="top">Modern Medication</td>
<td width="124" valign="top">104 (97.2)</td>
<td width="144" valign="top">20 (90.9)</td>
<td width="120" valign="top">44 (95.6)</td>
<td width="72" valign="top">0.3871</td>
</tr>
<tr>
<td width="147" valign="top">Self-Medication</td>
<td width="124" valign="top">68 (63.6)</td>
<td width="144" valign="top">14 (63.6)</td>
<td width="120" valign="top">18 (39.1)</td>
<td width="72" valign="top">0.0160</td>
</tr>
<tr>
<td width="147" valign="top">Alternative Med.</td>
<td width="124" valign="top">19 (17.7)</td>
<td width="144" valign="top">7  (31.8)</td>
<td width="120" valign="top">40 (87.0)</td>
<td width="72" valign="top">0.0000</td>
</tr>
</tbody>
</table>
<p>Table 3 presents that people having less than 2 <em>Bighas</em> land were adopting self medication significantly (P=0.05). Likewise, people having more than 4 <em>Bighas</em> land adopting alternative medication was also significant (P= 0.05). People were classified into three categories on the basis of land ownership as (a) Less than 2 <em>Bighas</em>, (b) 2.1-4 <em>Bighas</em>, (c) More than 4 <em>Bighas. </em></p>
<p><em> </em></p>
<p>Table 4: Diseases reported during encounter with the respondents (n=175).</p>
<table border="1" cellspacing="0" cellpadding="0">
<tbody>
<tr>
<td width="68" valign="top"><strong>S.No.</strong></td>
<td width="282" valign="top"><strong>Diseases</strong></td>
<td width="90" valign="top"><strong>Frequency </strong></td>
<td width="191" valign="top"><strong>Proportion  Percentage</strong></td>
</tr>
<tr>
<td width="68" valign="top">1</td>
<td width="282" valign="top">Headache,bodyache,weakness</td>
<td width="90" valign="top">89</td>
<td width="191" valign="top">50.8</td>
</tr>
<tr>
<td width="68" valign="top">2</td>
<td width="282" valign="top">Acute   Respiratory Infection (ARI)</td>
<td width="90" valign="top">77</td>
<td width="191" valign="top">44.0</td>
</tr>
<tr>
<td width="68" valign="top">3</td>
<td width="282" valign="top">Fever</td>
<td width="90" valign="top">54</td>
<td width="191" valign="top">30.8</td>
</tr>
<tr>
<td width="68" valign="top">4</td>
<td width="282" valign="top">Eye/ENT/Oral   Problems</td>
<td width="90" valign="top">33</td>
<td width="191" valign="top">18.8</td>
</tr>
<tr>
<td width="68" valign="top">5</td>
<td width="282" valign="top">Diarrhoea/Dysentry</td>
<td width="90" valign="top">24</td>
<td width="191" valign="top">13.7</td>
</tr>
<tr>
<td width="68" valign="top">6</td>
<td width="282" valign="top">Gastritis(APD)</td>
<td width="90" valign="top">24</td>
<td width="191" valign="top">13.7</td>
</tr>
<tr>
<td width="68" valign="top">7</td>
<td width="282" valign="top">Skin   diseases</td>
<td width="90" valign="top">13</td>
<td width="191" valign="top">7.4</td>
</tr>
<tr>
<td width="68" valign="top">8</td>
<td width="282" valign="top">Tuberculosis</td>
<td width="90" valign="top">10</td>
<td width="191" valign="top">5.7</td>
</tr>
<tr>
<td width="68" valign="top">9</td>
<td width="282" valign="top">Rheumatoid   Arthritis</td>
<td width="90" valign="top">9</td>
<td width="191" valign="top">5.1</td>
</tr>
<tr>
<td width="68" valign="top">10</td>
<td width="282" valign="top">Asthma   (COPD)</td>
<td width="90" valign="top">7</td>
<td width="191" valign="top">4.0</td>
</tr>
</tbody>
</table>
<p>Table 4 shows that symptoms like headache, bodyache, weakness and fever were reported by more than 30 percent respondents. ARI, Diarrhoal diseases, APD were reported by more than 13 percent respondents. Skin diseases, tuberculosis, rheumatoid arthritis were reported by more than 5 percent respondents.</p>
<p>Table 5: Medication sought by the family (n=175)</p>
<table border="1" cellspacing="0" cellpadding="0">
<tbody>
<tr>
<td width="192" valign="top"><strong>Medication</strong></td>
<td width="205" valign="top"><strong>Number </strong></td>
<td width="205" valign="top"><strong>Proportion Percentage</strong></td>
</tr>
<tr>
<td width="192" valign="top">Modern medication</td>
<td width="205" valign="top">168</td>
<td width="205" valign="top">96.0</td>
</tr>
<tr>
<td width="192" valign="top">Self-medication</td>
<td width="205" valign="top">100</td>
<td width="205" valign="top">57.1</td>
</tr>
<tr>
<td width="192" valign="top">Alternative Medication</td>
<td width="205" valign="top">40</td>
<td width="205" valign="top">22.8</td>
</tr>
</tbody>
</table>
<p>Table 5 presents medications sought by the family in any kind of latest illness during past three months. Modern, self and alternative medications were sought by 96 percent. 57.1 percent and 22.8 percent respectively.</p>
<p>Table 6: Expenses for Treatment (n=168).</p>
<table border="1" cellspacing="0" cellpadding="0">
<tbody>
<tr>
<td width="48" valign="top"><strong>S.N.</strong></td>
<td width="150" valign="top"><strong>Topics</strong></td>
<td width="252" valign="top"><strong>Cost in Rupees</strong></td>
<td width="132" valign="top"><strong>Proportion</strong></td>
</tr>
<tr>
<td width="48" valign="top">
<ol>
<li></li>
</ol>
</td>
<td width="150" valign="top">Purchasing drugs</td>
<td width="252" valign="top">598.35</td>
<td width="132" valign="top">58percent</td>
</tr>
<tr>
<td width="48" valign="top">
<ol>
<li></li>
</ol>
</td>
<td width="150" valign="top">Paying fees</td>
<td width="252" valign="top">201.68</td>
<td width="132" valign="top">19.5percent</td>
</tr>
<tr>
<td width="48" valign="top">
<ol>
<li></li>
</ol>
</td>
<td width="150" valign="top">Transportation</td>
<td width="252" valign="top">52.30</td>
<td width="132" valign="top">5percent</td>
</tr>
<tr>
<td width="48" valign="top">
<ol>
<li></li>
</ol>
</td>
<td width="150" valign="top">Helper</td>
<td width="252" valign="top">38.58</td>
<td width="132" valign="top">3.7percent</td>
</tr>
<tr>
<td width="48" valign="top">
<ol>
<li></li>
</ol>
</td>
<td width="150" valign="top">Other</td>
<td width="252" valign="top">142.77</td>
<td width="132" valign="top">13.8percent</td>
</tr>
</tbody>
</table>
<p>Table 6 indicates that bulk amount of expense goes on purchasing drugs (58.0 percent), followed by paying doctors fees (19.5 percent ). And 5.0 percent cost goes for transportation, 3.7 percent for helper and 13.8 percent for others. Average expenditure per sick respondent was Rs.1 031.64</p>
<p>Table No. 7:  Affordability as perceived by the Respondents (n=175).</p>
<table border="1" cellspacing="0" cellpadding="0">
<tbody>
<tr>
<td width="198" valign="top"><strong>Affordability</strong></td>
<td width="205" valign="top"><strong>Number</strong></td>
<td width="190" valign="top"><strong>Percentage.</strong></td>
</tr>
<tr>
<td width="198" valign="top">Yes</td>
<td width="205" valign="top">47</td>
<td width="190" valign="top">26.8</td>
</tr>
<tr>
<td width="198" valign="top">No</td>
<td width="205" valign="top">128</td>
<td width="190" valign="top">73.2</td>
</tr>
<tr>
<td width="198" valign="top">Total</td>
<td width="205" valign="top">175</td>
<td width="190" valign="top">100.0</td>
</tr>
</tbody>
</table>
<p>Table No. 9 suggests that 73.2 percent  people were reported inability to afford the cost for treatment.</p>
<p><strong>Discussion<br />
</strong></p>
<p>Katahari and Baijanathpur VDCs are located nearby Biratnagar sub metropolitan city. Private allopathic clinics conducted by paramedics were abundant in the local market, which were familiar also in the community. So, minor injuries and ailments were being treated there. They have also got facility of Koshi Zonal  Hospital for emergency and special services. People those who need higher services for emergency, obstetrics and chronic cases, used to go to higher service centers located at Biratnagar, Dharan, Kathmandu and even India. Rajbanshi people were deeply attached with their Self-medication practices. They readily go to Dhami/Jhakri/Shaman due to their cultural factor and because of their perceived satisfaction. During FGD it was noted that lack of adequate money to pay for modern medication also leads them to go for Self-medication. Poor Rajbanshi adopted self medication was significant (P&lt;0.05) in Katahari and Baijanathpur VDCs (Table 3). Similarly, practices of using self-medication by uneducated was highly significant (P=&lt;0.05) in the community (Table 2). Niroula, B.B.<a title="_ednref7" name="_ednref7" href="#_edn7">[7]</a>, noted in <em>Benighat</em> that going to a faith healer is a ritual for seeking treatment, but if the illness persists even after two or three visits to a healer, the people of <em>Benighat</em> seek modern medicine. Many of them also use self-medication, with medication bought at the medicine shop. Others try herbal medications they have tried before. However, treatment-seeking behavior is changing with the availability of the modern health care facility in the area. Treatment-seeking behavior is largely determined by types of illness and popular beliefs regarding them. The cultural diversity brought about by caste and ethnic mix and topographical variations extends to health-seeking behavior. Some of the health beliefs may be common to all caste-ethnic groups but some are more specific to a particular caste and ethnicity. Developments in modern medicine and expansion of modern health care facilities have played a very important role in reducing morbidity and mortality in the developing world. Despite a steady penetration of modern health care services, economic underdevelopment has also led to a relatively weak health infrastructure in Nepal. Health improvement programme A Summary report<a title="_ednref8" name="_ednref8" href="#_edn8">[8]</a> has revealed that 20 percent disadvantaged and 11 percent general population in Eastern development region were getting treatment from traditional healers. However, modern, self and alternative medications were indispensable part of health seeking behavior (Table 5) in Rajbanshi community.</p>
<p>An average treatment cost per case was Rs. 1031.64 (SD=6). They had taken either loan (14%) or had to sell land, animals, grains or personal belongings (53%). The bulky proportion (57.8%) expenses felled on buying drugs and for fees (19.55%) thereafter, for transportation 5percent , helper 3.74%, others 13.84 percent (Table 6).  Seventy three percent respondents reported inability to afford the expenses for modern medication (Table No. 7). The issue of expensive medical treatment and difficulty in affordability was also pointed out during focus group discussions. Therefore, the cost for modern medical treatment was said to be unaffordable for majority of people in Rajbanshi of Katahari and Baijanathpur of Morang. According to public health point of view, it is one of the major causes for poor access to health care services for needy people.</p>
<p><strong>Communities</strong></p>
<p>Rajbanshi<a title="_ednref9" name="_ednref9" href="#_edn9">[9]</a> is one of the 61 ethnic groups in Nepal. Ethnic or Indigenous people are having low health status in the world.<a title="_ednref10" name="_ednref10" href="#_edn10">[10]</a><sup> </sup>Tamang, A., et.al,<a title="_ednref11" name="_ednref11" href="#_edn11">[11]</a> described treatment seeking behavior which is determined by perceived causes of reproductive health problems. The family members believe that modern medicines will not work (ineffective) if the patient is not first seen by a faith healer. Visit to a health facility becomes inevitable only when problem gets worse or unbearable. Because of their beliefs on witchcraft, reliance on traditional faith healer (TFH) for treatment is quite strong among all the ethnic communities. Tamang girls would confide their Severe Reproductive Health problems with their mothers who would in turn prescribe herbal/home made remedies. Reliance over Traditional Faith Healer for treatment of problems is also common among Tamang girls. A large proportion of adolescent had experienced menstrual, reproductive or urinary tract disorders and only few had sought care. There is a need to tailor program to suit the needs of specific ethnic groups.</p>
<p>Uneducated Rajbanshis reported more sickness than educated people (Table 1) and they are also using more self medication (Table 2) in Katahari and Baijanathpur in Morang. A number of studies have found a correlation between knowledge and delayed diagnosis. Knowledge includes the ability to recognize symptoms, identify causes and transmission routes, and familiarity with the availability of cure. Although the evidence doesn&#8217;t conclusively suggest that knowledge independently determines care-seeking behavior, the correlation about knowledge and timing of diagnosis is well documented.<sup>14</sup></p>
<p>Diseases reported by more than thirty percent respondents were mainly symptoms like headache, bodyache, weakness and fever. ARI, Diarrhoeal diseases, APD were reported by more than 13 percent respondents. Skin diseases, tuberculosis, rheumatoid arthritis were reported by more than 5 percent of respondents (Table 4). Annual Report of Department of Health Services<a title="_ednref12" name="_ednref12" href="#_edn12">[12]</a> noted top 5 diseases as skin diseases, ARI, diarrhoeal diseases, Intestinal worms and Pyrexia respectively. A study<a title="_ednref13" name="_ednref13" href="#_edn13">[13]</a> has realized that women could describe only obvious symptoms of their illness such as headaches, fevers, joint aches and body aches. They were more knowledgeable about pregnancy and delivery related problems than illnesses such as tuberculosis, malaria and typhoid. This lack of knowledge contributed to their delay in seeking care.</p>
<p>Waisbord<a title="_ednref14" name="_ednref14" href="#_edn14">[14]</a> felt that the TB control community has recognized and addressed system components in which behavior is a key issue. Both diagnosis delay and non-completion of treatment are two central behavioral challenges. Several ongoing national and global initiatives that are part of TB control programs also aim to address behavioral challenges. Programs that offer enablers such as transportation and food subsidies for patients assume that by minimizing costs the numbers of patients seeking diagnosis and care would increase. Murphy, E.M.<a title="_ednref15" name="_ednref15" href="#_edn15">[15]</a>, argued that in an earlier day, the task of changing health related behavior was thought to be simply a matter of sending health messages such as &#8220;Breastfeed your baby!&#8221; or &#8220;Use condoms!&#8221; to those who were perceived to need them-a one direction communication approach. Today, sound health promotion programs no longer rely on one shot exhortations via booklets, posters, or media broadcasts. They encompass extensive research on relevant audiences; skill-building; multi-channeled education and advocacy using influential persons; policy development; community mobilization; and organizational, economic, and environmental change. This approach recognizes that human beings live in a dynamic &#8220;social ecology&#8221; as well as a physical one. Because poverty, gender inequity, and other disparities are underlying causes of under nutrition, addressing this health problem requires behavior change at multiple levels.</p>
<p><strong>Conclusion</strong></p>
<p><strong> </strong></p>
<p>Modern, self and alternative medications were indispensable part of health seeking behavior of Rajbanshi community in Katahari and Baijanathpur VDCs of Morang. Modern medication was equally popular in both poor and rich or educated and uneducated. But, majority of people had reported modern medication as expensive medication. Uneducated Rajbanshis reported more sickness. Significant number of Rajbanshis having less than 2 Bighas of land and uneducated were adopting self medication in the community.</p>
<p><strong>Acknowledgement</strong></p>
<p><strong> </strong></p>
<p>I would like to extend my sincere gratefulness to Dr. A.B. Joshi and Dr. Ritu Prasad Gartoulla for providing valuable guidance to conduct this study. Acknowledgement is also due to cooperation provided by the local communities, school teachers, health workers of Katahari and Baijanathpur VDCs of Morang.</p>
<p><strong>References</strong></p>
<hr size="1" /><a title="_ftn1" name="_ftn1" href="#_ftnref1">[a]</a> <strong>Corresponding Author:</strong> Nawaraj Subba, <strong>E-mail: </strong>nrsubba@yahoo.com, [a]Ministry of Health and Population, District Public Health Office, Morang, Nepal.</p>
<hr size="1" /><a title="_edn1" name="_edn1" href="#_ednref1">[1]</a> M Corlien, Designing and conducting Health System Research Projects,</p>
<p><em>Heath system research training series, WHO/ IDRC</em>, 1991.</p>
<p><a title="_edn2" name="_edn2" href="#_ednref2">[2]</a> K Kafle, Gartoulla RP, Self-medication and its impact on essential drugs</p>
<p>Scheme in Nepal, W.H.O. DAP &#8211; 10, 1993.</p>
<p><a title="_edn3" name="_edn3" href="#_ednref3">[3]</a> Gartoulla RP, An introduction to medical sociology and medical anthropology,</p>
<p>RECID, Kathmandu, Nepal, 1998.</p>
<p><a title="_edn4" name="_edn4" href="#_ednref4">[4]</a> Reinstein J, World Self Medication Industry (WSMI), UK, www.wsmi.org, 2001</p>
<p><a title="_edn5" name="_edn5" href="#_ednref5">[5]</a> Agarwal SK, A guide to Alternative medicine, Indian board of Alternative</p>
<p>Medicine (IBAM), Calcutta, India, n.d.</p>
<p><a title="_edn6" name="_edn6" href="#_ednref6">[6]</a> Gartoulla RP, Therapy pattern of conventional medicine with other alternative</p>
<p>Medicine, RECID, Kathmandu, Nepal, 1998.</p>
<p><a title="_edn7" name="_edn7" href="#_ednref7">[7]</a> Niroula BB, Use of health services in Hill villages in Central Nepal, Population</p>
<p>Studies Center, University of Pennsylvania, Philadelphia, 1994</p>
<p><a title="_edn8" name="_edn8" href="#_ednref8">[8]</a> Subba NR, Poudel D, Karkee S, Health Improvement Programme Summary report,</p>
<p>HMG/MoH/Eastern Regional Health Directorate, Britain Nepal Medical Trust, 2003</p>
<p><a title="_edn9" name="_edn9" href="#_ednref9">[9]</a> Prospectus, HMG, MLD, National Committee for Development of Nationalities,</p>
<p>2000.</p>
<p><a title="_edn10" name="_edn10" href="#_ednref10">[10]</a> Mabuhang BK, Policy Approaches to Indigenous People on Health Issues,</p>
<p><strong> </strong><em>Population and Development in Nepal Journal</em>, TU CDoPS, Kathmandu, 2000;7</p>
<p><a title="_edn11" name="_edn11" href="#_ednref11">[11]</a> Tamang A, Tamang J, Adhikari R, Severity Perceptions of Health Problems and Treatment</p>
<p>Seeking  Behavior among Adolescent Girls in Nepal, <em>Conference on Young People&#8217;s </em></p>
<p><em> Sexual and Reproductive Health Needs in Asia,</em> New Delhi, 2004.</p>
<p><a title="_edn12" name="_edn12" href="#_ednref12">[12]</a> DoHS, Annual Report, Ministry of Health, Department of Health Services, Kathmandu,  Nepal,</p>
<p>2002</p>
<p><a title="_edn13" name="_edn13" href="#_ednref13">[13]</a> World Bank, Understanding Access, Demand and Utilization of Health Services by Rural</p>
<p>Women in Nepal and their Constraints, 2001</p>
<p><a title="_edn14" name="_edn14" href="#_ednref14">[14]</a> Waisbord, Behavioral barriers in tuberculosis control: A literature review, The</p>
<p>CHANGE Project/Academy for Educational Development, 2005.</p>
<p><a title="_edn15" name="_edn15" href="#_ednref15">[15]</a> Murphy EM, Promoting Healthy Behavior, Health Bulletin of Population Reference</p>
<p>Bureau,  USA, 2005;2</p>


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		<title>Demographic assessment on Vasectomy clients of Sankhuwasabha Nepal</title>
		<link>http://www.nrsubba.com.np/2008/10/demographic-assessment-on-vasectomy-clients-of-sankhuwasabha-nepal.html/</link>
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		<pubDate>Thu, 02 Oct 2008 20:47:35 +0000</pubDate>
		<dc:creator>admin</dc:creator>
				<category><![CDATA[Research]]></category>

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<p>This paper presents the demographic status of vasectomy clients in  Sankhuwasabha district in Eastern Nepal based on the 427 fact-sheets  taken<span id="more-50"></span></p>
<p style="text-align: right;"><strong>Nawa Raj Subba</strong></p>
<p><strong>ABSTRACT</strong></p>
<p>This paper presents the demographic status of vasectomy clients in Sankhuwasabha district in Eastern Nepal based on the 427 fact-sheets taken at camps in district during 3 consecutive years. More than half (55.0%) of the clients were <em>Brahmin</em> and <em>Chhetri.</em> Major occupation of clients was agriculture (73.7%) with s literacy rate of 83%. Mean age of vasectomy clients and their wives was 32.5 and 28.7 years respectively and age of youngest female child was 3.9 years. Of the total, 55.8% couple have had used temporary contraceptives before having vasectomy. As a part of screening procedure, blood pressure of more than half clients (54.6%) was measured and found to be within normal range.</p>
<p><strong>INTRODUCTION</strong></p>
<p>It has been experienced that vasectomy target could not have been achieved in hilly and mountainous districts compared to districts located in plain (Terai) areas in Nepal.<sup>1</sup> This has been due to the lack of doctors and other management problem for years. In addition, there might be socio-cultural reasons as well.</p>
<p>This paper presents the findings of a cross-sectional study done to assess the demographic, social and personnel characteristics of vasectomy clients in Sankhuwasabha district, one of the Himalayan districts located in Koshi zone in Eastern Development Region.</p>
<p><strong>MATERIALS AND METHODS</strong></p>
<p>Face-Sheets<sup>1</sup> were taken from the vasectomy clients. A total of  427 Face-Sheets was taken as samples that were filled up at the time of Vasectomy conducted Fiscal Years 056/57, 057/58 and 058/59 covering District Hospital 1, Primary Health Care Centre 1, Health Posts 12, Sub-Health Posts 25 of Sankhuwasabha district. Data from pre-coded questions were entered into Epi Info 6.0 database and were analyzed using Epi-Info Statistical package.</p>
<p><strong>RESULTS</strong></p>
<p>This paper presents the demographic status of vasectomy clients in Sankhuwasabha district in Eastern Nepal based on the 427 face-sheets taken at camps during 3 consecutive years. More than half (55.0%) of the clients were Brahmin/Chhetri (Table 1). Major occupation of clients was agriculture (73.7%) with literacy rate 83.0% (Table 2). Mean age of vasectomy clients and their wives was 32.5 and 28.7 years respectively. An average number child of a client was 3.2 years. Age of youngest male child was 4.7 years and female child was 3.9 years. Of the total, 55.8% couple have had used temporary contraceptives before having vasectomyThe age of last male and female child was 4.7 and 4.0 years, respectively.</p>
<p>Table 1. Ethnics of Vasectomy Clients in Sankhuwasabha District</p>
<table border="1" cellspacing="0" cellpadding="0">
<tbody>
<tr>
<td width="187" valign="top">Ethnics</p>
<p>Brahmin/ Chhetri</td>
<td width="75" valign="top">Total n</p>
<p>103</td>
<td width="125" valign="top">Percentage</p>
<p>55.0</td>
</tr>
<tr>
<td width="187" valign="top">Rai/Limbu</td>
<td width="75" valign="top">74</td>
<td width="125" valign="top">17.3</td>
</tr>
<tr>
<td width="187" valign="top">Gurung/Magar</td>
<td width="75" valign="top">55</td>
<td width="125" valign="top">12.8</td>
</tr>
<tr>
<td width="187" valign="top">Tamang/Sherpa</td>
<td width="75" valign="top">19</td>
<td width="125" valign="top">4.4</td>
</tr>
<tr>
<td width="187" valign="top">Newars</td>
<td width="75" valign="top">5</td>
<td width="125" valign="top">1.2</td>
</tr>
<tr>
<td width="187" valign="top">Vaishya/ Dalits</td>
<td width="75" valign="top">39</td>
<td width="125" valign="top">9.1</td>
</tr>
<tr>
<td width="187" valign="top">Total</td>
<td width="75" valign="top">427</td>
<td width="125" valign="top">100%</td>
</tr>
</tbody>
</table>
<p>Table 2. Occupation of Vasectomy Clients and their spouse in Sanlhuwasabha District.</p>
<table border="1" cellspacing="0" cellpadding="0">
<tbody>
<tr>
<td width="120" valign="top">Occupation</td>
<td width="142" valign="top">Client</td>
<td width="125" valign="top">Spouse</td>
</tr>
<tr>
<td width="120" valign="top">Agriculture</td>
<td width="142" valign="top">314 (73.7%)</td>
<td width="125" valign="top">314 (73.7%)</td>
</tr>
<tr>
<td width="120" valign="top">Service</td>
<td width="142" valign="top">91 (21.4%)</td>
<td width="125" valign="top">91(21.4%)</td>
</tr>
<tr>
<td width="120" valign="top">Business</td>
<td width="142" valign="top">20 (4.7%)</td>
<td width="125" valign="top">20 (4.7%)</td>
</tr>
<tr>
<td width="120" valign="top">Dependant</td>
<td width="142" valign="top">1 (0.2%)</td>
<td width="125" valign="top">1(0.2%)</td>
</tr>
<tr>
<td width="120" valign="top">Total</td>
<td width="142" valign="top">427</td>
<td width="125" valign="top">427</td>
</tr>
</tbody>
</table>
<p>Table 3. Educational status of Vasectomy clients</p>
<table border="1" cellspacing="0" cellpadding="0">
<tbody>
<tr>
<td width="137" valign="top">Educational status</td>
<td width="125" valign="top">Number (n=425)</td>
<td width="125" valign="top">Percentage</td>
</tr>
<tr>
<td width="137" valign="top">Illiterate</td>
<td width="125" valign="top">73</td>
<td width="125" valign="top">17.2</td>
</tr>
<tr>
<td width="137" valign="top">Literate</td>
<td width="125" valign="top">153</td>
<td width="125" valign="top">36.0</td>
</tr>
<tr>
<td width="137" valign="top">Under SLC</td>
<td width="125" valign="top">78</td>
<td width="125" valign="top">18.4</td>
</tr>
<tr>
<td width="137" valign="top">SLC</td>
<td width="125" valign="top">68</td>
<td width="125" valign="top">16.0</td>
</tr>
<tr>
<td width="137" valign="top">IA and above</td>
<td width="125" valign="top">53</td>
<td width="125" valign="top">12.5</td>
</tr>
</tbody>
</table>
<p>Table 4. Type of contraception used by the clients</p>
<table border="1" cellspacing="0" cellpadding="0">
<tbody>
<tr>
<td width="240" valign="top">Temporary Contraception</td>
<td width="146" valign="top">Percentage</td>
</tr>
<tr>
<td width="240" valign="top">Condom</td>
<td width="146" valign="top">32.8</td>
</tr>
<tr>
<td width="240" valign="top">Pills</td>
<td width="146" valign="top">7.8</td>
</tr>
<tr>
<td width="240" valign="top">Depo-Provera</td>
<td width="146" valign="top">57.8</td>
</tr>
<tr>
<td width="240" valign="top">IUD</td>
<td width="146" valign="top">1.3</td>
</tr>
<tr>
<td width="240" valign="top">Norplant</td>
<td width="146" valign="top">0.4</td>
</tr>
</tbody>
</table>
<p>Table 3 shows the educational status of clients. Approximately one-fifth of vasectomy clients were illiterate. Over two-third clients could read and write. Small number had education above SLC. Seven percent of clients had experienced loss of their child before vasectomy.</p>
<p>As a part of screening procedure, blood pressure of more than half clients (54.6%) was measured and found to be within normal range.</p>
<p><strong>DISCUSSION</strong></p>
<p>In Nepal, 30.0% of total population is comprised of Brahmin/Chhetri.<sup>2,3 </sup>In Sankhuwasabha district Brahmain/Chhetri is 55%.<sup>3 </sup>Most of the people in this district are engaged in agriculture and this was well reflected in this study as well (74.0% clients were involved in agriculture). In Terai, the occupational figure is slightly different and only half (52.0).<sup>4 </sup>onvolved in agriculture.</p>
<p>The illiteracy rate in Sankhuwasabha district<sup>6</sup> is 50.8% (literacyrate of Nepal is 53.7%).<sup>3</sup> However, the literacy rate of clients was 83% indicating that educatin (awareness) of people plays great role in family planning by vasectomy. The mean age of vasectomy clients is studied in this study (32.5 years) was similar to the mean age of vasectomy clients in USA (31 years).<sup>5</sup> In Nepal, the mean number of children ever born at age 25-29 women group is 2.71 whereas the mean number of living children of the same age group is 2.43 children.<sup>3</sup> However, the mean number of children ever born at age 25-29 women group of the vasectomy clients in Sankhuwasabha district was 3.3 and mean number children children of the same age group was 3.2 children.</p>
<p>It has been found that 39.0% women and 44.0% men were on temporary contraception practice in Eastern mountainous region.<sup>4</sup> In this study the number was low, 18% men and 37% women had used temporary method of contraception prior to the vasectomy. About ten percent of newly married non-pregnant women in Nepaluse injectable contraception (Depo-Provera)<sup>1</sup> while 25.6% women of 15-29 years age group have taken (Depo-Provera).<sup>4</sup> Overall, Depo-Provera user married women of reproductive age in Eastern Nepal ws 31%<sup>6</sup> However, 57.8% of vasectomy clients revealed that their wives had used Depo-Provera. None of the subjects had symptoms of hypertension and might be associated with their life-style.</p>
<p>These results may reflect and confined to the study district&#8217;s situation. However, present study is based on the face-sheets. In this district, certain caste/ethnic groups are still far from access of vasectomy contraception the program focusing in this regard should be encouraged.</p>
<p><strong>REFERENCES</strong></p>
<p>1. DHO, Sankhuwasabha, District Health Office Sankhuwasabha Nepal, Vasectomy Face Sheets, Fiscal Years 2056/56, 2057/58, 2058/59.</p>
<p>2. DBS, Statistical Pocket Book Nepal, His Majesty&#8217;s Government Nepal Planning Commission, Central Bureau of Statistics, Kathmandu Nepal, 2002.</p>
<p>3. DDC, District Profile of Sankhuwasabha district, District zDevelopment Committee Sankhuwasabha, 2001.</p>
<p>4. Subba NR, Health Seeking behavior of Rajbanshi ethnic of Katahari and Baijanathpur in Morang, 2001.</p>
<p>5. Vasectomy  Project Washington  State Family Planning and Reproductive Health, State Department of Health Family Planning and Reproductive Health, P.O. Box   47883, Olympia, Washington,  98504-7883, 2002, www.fprh.index.htm</p>
<p>6. EDR, Annual Report of Eastern Region Fiscal Year 2057/58, His Majesty&#8217;s Government of Nepal, Ministry of Health, Department of Health Services, Regional Health Directorate Eastern Development Region, Dhankuta, 2059.</p>


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		<title>Assessment on Morang Innovative Neonatal Intervention 2006</title>
		<link>http://www.nrsubba.com.np/2008/10/assessment-on-morang-innovative-neonatal-intervention-2006.html/</link>
		<comments>http://www.nrsubba.com.np/2008/10/assessment-on-morang-innovative-neonatal-intervention-2006.html/#comments</comments>
		<pubDate>Thu, 02 Oct 2008 20:36:26 +0000</pubDate>
		<dc:creator>admin</dc:creator>
				<category><![CDATA[Research]]></category>

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<p style="text-align: left;">This is a retrospective comparative study on Morang Innovative Neonatal  Intervention (MINI) a project which aims at reducing neonatal deaths by  controlling neonatal infections.<span id="more-49"></span></p>
<p style="text-align: right;">Nawa Raj Subba<br />
Senior Public Health Administrator</p>
<h2>Abstract</h2>
<p>&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;-</p>
<p><strong>Introduction: </strong>This is a retrospective comparative study on Morang Innovative Neonatal Intervention (MINI) a project which aims at reducing neonatal deaths by controlling neonatal infections. <strong>Objectives: </strong>The objective of the assessment aims to assess the situation of neonatal health in intervention VDCs. <strong>Methodology:</strong> Baseline assessment, trainings, supervision and monitoring was conducted during project implementation. Tools are service registers used by Health Workers and FCHVs, reporting formats, service cards, supervision check-lists and reports, forms, regular review meetings&#8217; reports and HMIS data. Primary data collected by questionnaires, in-depth interviews with health workers and beneficiaries. Data has been regularly entered into computer and reviewed on monthly basis from July 2004 to September 2006. <strong>Results: </strong>FCHVs have captured 58 percent of expected pregnant women in their wards of VDCs. FCHVs have taken birth weights of 99% babies of registered babies. Of them 12% babies was found under weight. FCHVs followed up 83% of these under weight babies. FCHVs assessed as 23% of local bacterial infection and 15% of possible severe bacterial infection. FCHVs first managed 70%, VHWs and MCHWs first managed 16% and health institutions first managed 14% of Possible Severe Bacterial Infection (PSBI). Of total 895 PSBI 39 percent neonates were treated by home visits and 44% by health facilities. In the intervention area 68% population has been occupied by Dalits, Indigenous people and Muslims which are considered as Disadvantaged Groups (DAG) in Morang district. NMR is estimated as 21 per 1000 live births in the district. <strong>Conclusion: </strong>MINI has served neonates mainly for disadvantaged population living in the community level in Morang district. It has played its role in lowering NMR. It has also supported other existing public health programmes. <strong>Recommendation:</strong> It demands close monitoring of overall programmes. Some incentives for FCHV and CHWs are needed. Provision of application of local antibiotics on cord is a issue which often attracts attention to be added in the national protocol.</p>
<p><strong> </strong></p>
<p><strong>Key words</strong></p>
<p>Neonatal Mortality, FCHV, VHW, MCHW, Morang,</p>
<p>&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8212;&#8211;</p>
<p><strong> </strong></p>
<p><strong>Background</strong></p>
<p>Nepal is one of the countries having highest IMR in the world. Since the proportion of NMR is almost constant despite there is remarkable decrease of IMR over a decade of 1991 to 2001 in the country.<a title="_ednref1" name="_ednref1" href="#_edn1">[1]</a></p>
<p>Nepal has experienced the trend as remarkable decrease in &lt;5 yrs mortality but no changes in neonatal mortality rate. Safe motherhood programmes, Community Based-Integrated Management of Childhood Illness (CB-IMCI) programmes are going on in primary health care package, but it is inadequate to fulfill the requirement of basic neonatal health care services. On this background, National Neonatal Health Policy 2004 has been formulated in the country. Policy has opened rooms for piloting neonatal health care projects in districts. Morang district has got neonatal health care pilot programme named as Morang Innovative Neonatal Intervention (MINI), which aims at reducing neonatal deaths by controlling neonatal infections. Neonatal period is classically defined as first 28 days of life. But, MINI has defined neonatal period as the first 60 days of life in the programme. A similar neonatal programme <em>Projahnmo Project Shylet </em>in Bangladesh<a title="_ednref2" name="_ednref2" href="#_edn2">[2]</a> defined the neonatal period as the first 40 days of life.</p>
<p>Human Development Indicators 2001<a title="_ednref3" name="_ednref3" href="#_edn3">[3]</a> of Morang district are in better condition in the Eastern region and country as well. But population size of the district is second highest in the country and highest in the Eastern development region. A joint effort of District Public Health Office (DPHO) Morang and Morang Innovative Neonatal Intervention (MINI) or John Snow International (Research &amp; Training) has got two years achievements and experiences in Morang district. About nine months period has been passed solely in preparation phase for training for trainers, training for health workers and FCHVs in the communities. Service intervention was begun from June 2005 in 21 Village Development Committees (VDC) in the district.</p>
<h2>Objectives</h2>
<p>Objectives of the study is to assess the effectiveness of the programme by assessing situation of neonatal health in the population of intervention VDCs and compare it with non-intervention VDCs. Objective of the study also includes comparing other existing programme performance in intervention and non-intervention VDCs.</p>
<h2>Methodology</h2>
<p>It is a retrospective comparative assessment. Series of trainings, supervision and monitoring was conducted during project implementation. Interventions were ANC counseling, baby weight taking, treatment and refer of neonatal infections and PNC counseling by FCHVs and CHWs. Expected outcome was identifying birth weights, diagnosis of neonatal infection and treatment or refer to the health institutions. Tools used were service registers used by Health Workers and FCHVs, Reporting Formats, Service Cards, Supervision Check-lists, questionnaires. Study of Secondary data from MINI data base was taken place. Health Management Information System (HMIS), Regular Review Meetings&#8217; reports, Supervision and monitoring reports, published reports and forms: birth information (form A), diagnosis record (form B), vital statistics after 2 months (form C) and treatment record (form D) are also taken as tools. Primary data collection by in-depth interviews with health workers and beneficiaries from randomly selected sites using check lists. Data Processing: Data has been put regularly into computer under access and excel software and analyzed it monthly. DPHO Morang, District Technical Working Group (DTWG) and MINI programme have fulfilled their responsibilities of managing and analyzing data during intervention. According to the baseline household survey<a title="_ednref4" name="_ednref4" href="#_edn4"><sup><sup>[4]</sup></sup></a>, the selection of VDCs to receive the package of interventions was done by randomly selecting 2 out of 6 PHCs and 4 out of 10 health posts (both done proportionate to the number of VDCs they serve).</p>
<h2>Results</h2>
<p>Table 1. Castes and ethnics distribution of service users in intervention area.</p>
<table border="1" cellspacing="0" cellpadding="0" width="487">
<tbody>
<tr>
<td rowspan="2" width="250"><strong>Caste/Ethnics</strong></td>
<td colspan="2" width="237" valign="bottom"><strong>Service received   (n=2533)</strong></td>
</tr>
<tr>
<td width="137" valign="top">Number</td>
<td width="100" valign="top">Percentage</td>
</tr>
<tr>
<td width="250" valign="bottom">Brahmin</td>
<td width="137" valign="top">167</td>
<td width="100" valign="top">14%</td>
</tr>
<tr>
<td width="250" valign="bottom">Chettri</td>
<td width="137" valign="top">143</td>
<td width="100" valign="top">12%</td>
</tr>
<tr>
<td width="250" valign="bottom">Newars</td>
<td width="137" valign="top">41</td>
<td width="100" valign="top">3%</td>
</tr>
<tr>
<td width="250" valign="bottom">DAG (Dalits, Aadibasi Janajati)</td>
<td width="137" valign="top">740</td>
<td width="100" valign="top">62%</td>
</tr>
<tr>
<td width="250" valign="bottom">Muslims</td>
<td width="137" valign="top">68</td>
<td width="100" valign="top">6%</td>
</tr>
<tr>
<td width="250" valign="bottom">Others</td>
<td width="137" valign="top">37</td>
<td width="100" valign="top">3%</td>
</tr>
</tbody>
</table>
<p>Table 1 shows distribution of the caste and ethnics receiving services in population from 21 intervention VDCs. In the intervention area 68% population has been occupied by Dalits, Indigenous people and Muslims which are considered Disadvantaged Groups (DAG) in Morang district. Brahmin 14%, Chhetri 12%, Newars 3% and others 3% have also taken services from this programme.</p>
<p>Table 2. Service indicators regarding Home visits in Intervention Area</p>
<table border="1" cellspacing="0" cellpadding="0">
<tbody>
<tr>
<td width="444" valign="top"><strong>Indicators</strong></td>
<td width="107" valign="top"><strong>Number</strong></td>
<td width="88" valign="top"><strong>%</strong></td>
</tr>
<tr>
<td width="444" valign="top">Expected pregnancies in 21 VDCs</td>
<td width="107" valign="top">10,282</td>
<td width="88" valign="top"></td>
</tr>
<tr>
<td width="444" valign="top">Total births recorded by FCHVs</td>
<td width="107" valign="top">5,957</td>
<td width="88" valign="top">58</td>
</tr>
<tr>
<td width="444" valign="top">Babies for whom weight was taken by FCHVs among record   taken</td>
<td width="107" valign="top">5,925</td>
<td width="88" valign="top">99</td>
</tr>
<tr>
<td width="444" valign="top">Low body weight baby recorded</td>
<td width="107" valign="top">682</td>
<td width="88" valign="top">12</td>
</tr>
<tr>
<td width="444" valign="top">Low body weight baby attended 4 follow up visits</td>
<td width="107" valign="top">564</td>
<td width="88" valign="top">83</td>
</tr>
<tr>
<td width="444" valign="top">Local Bacterial Infections assessed by FCHVs</td>
<td width="107" valign="top">1,381</td>
<td width="88" valign="top">23</td>
</tr>
<tr>
<td width="444" valign="top">Possible Severe Bacterial Infection (PSBI)</td>
<td width="107" valign="top">895</td>
<td width="88" valign="top">15</td>
</tr>
<tr>
<td width="444" valign="top">Possible Severe Bacterial Infections first managed by</p>
<p>- FCHV</p>
<p>- VHW/MCHW</p>
<p>- Health facilities</td>
<td width="107" valign="top">630</p>
<p>144</p>
<p>121</td>
<td width="88" valign="top">70</p>
<p>16</p>
<p>14</td>
</tr>
<tr>
<td width="444" valign="top">First dose of Gentamicin injected at:</p>
<p>- Home</p>
<p>- Health Facilities</p>
<p>- Others</td>
<td width="107" valign="top">282</p>
<p>324</p>
<p>128</td>
<td width="88" valign="top">39</p>
<p>44</p>
<p>17</td>
</tr>
</tbody>
</table>
<p>Table 2 indicates as FCHVs have captured 58 percent of expected pregnant women in their wards of VDCs. It is noted that 58% of households are visited by FCHVs.  FCHVs have taken birth weights of 99% babies for whom weight was taken. Of them 12% babies was found under weight. FCHVs followed up 83% of these under weight babies. FCHVs assessed as 23% of local bacterial infection and 15% of possible severe bacterial infection. FCHVs first managed 70%, VHWs and MCHWs have managed 16% and 14% managed by health institutions of Possible Severe Bacterial Infection (PSBI). Of total 895 PSBI 39 percent neonates were treated by home visits and 44% by health facilities. It is noted that these activities are not undertaken by FCHVs in non-intervention VDCs or they usually did not do these jobs.</p>
<p>Table 3. Neonatal Mortality Rate in Morang following MINI Intervention</p>
<table border="1" cellspacing="0" cellpadding="0">
<tbody>
<tr>
<td width="187" valign="top">Observations Points</td>
<td width="132" valign="top">Total Births   Recorded</td>
<td width="132" valign="top">Total Deaths   Recorded</td>
<td width="132" valign="top">NMR per 1000 live   births</td>
</tr>
<tr>
<td width="187" valign="top">May 2005 (At   Beginning)</td>
<td width="132" valign="top">420</td>
<td width="132" valign="top">13</td>
<td width="132" valign="top"></td>
</tr>
<tr>
<td width="187" valign="top">May 2006 (After 1   year)</td>
<td width="132" valign="top">6046</td>
<td width="132" valign="top">119</td>
<td width="132" valign="top">21</td>
</tr>
</tbody>
</table>
<p>Table 3 shows the status of NMR in Morang. At the beginning of the intervention of MINI, it was total 13 neonatal deaths recorded out of 420 births records. After one year of intervention neonatal deaths had been recorded 114 out 6046 births. NMR may be estimated as 21 per 1000 live births in the district. According to census 2001<a title="_ednref5" name="_ednref5" href="#_edn5">[5]</a>, NMR is 39 per 1000 live births in Nepal.</p>
<p>Table 4. Comparison of district&#8217;s achievement over Pre and Post MINI intervention</p>
<table border="0" cellspacing="0" cellpadding="0" width="438">
<tbody>
<tr>
<td width="52" valign="bottom">SN</td>
<td width="229">Indicators</td>
<td width="75">2061/62</td>
<td width="82">2062/63</td>
</tr>
<tr>
<td width="52" valign="bottom">1</td>
<td width="229">BCG</td>
<td width="75">94</td>
<td width="82">100</td>
</tr>
<tr>
<td width="52" valign="bottom">2</td>
<td width="229">DPT3</td>
<td width="75">73</td>
<td width="82">100</td>
</tr>
<tr>
<td width="52" valign="bottom">3</td>
<td width="229">Measles</td>
<td width="75">80</td>
<td width="82">91</td>
</tr>
<tr>
<td width="52" valign="bottom">4</td>
<td width="229">TT2</td>
<td width="75">62</td>
<td width="82">61</td>
</tr>
<tr>
<td width="52" valign="bottom">5</td>
<td width="229">4 ANC visits</td>
<td width="75">40</td>
<td width="82">44</td>
</tr>
<tr>
<td width="52" valign="bottom">6</td>
<td width="229">PNC Visit</td>
<td width="75">38</td>
<td width="82">39</td>
</tr>
</tbody>
</table>
<p>Table 4 indicates that BCG, DPT3 and Measles vaccination coverage was 94%, 73% and 80% in the year 2061/62 which increased as 100%, 100% and 91% respectively in the year 2062/63. Similarly, Target achievement of TT2, 4ANC visits and PNC visits in FY 2061/62 was 62%, 40% and 38% which found 61%, 44% and 39% respectively in the year 2062/63. Most of the indicators found improved in FY 2062/63 than previous year.</p>
<p>Table 5. Comparison of Target Vs Achievement in between Intervention and Non-Intervention VDCs</p>
<table border="0" cellspacing="0" cellpadding="0">
<tbody>
<tr>
<td rowspan="2" width="49" valign="bottom">S.N.</td>
<td rowspan="2" width="96">Indicators</td>
<td colspan="3" width="228">Intervention VDCs   (21)</td>
<td colspan="3" width="240">Non-Intervention   VDCs (44)</td>
</tr>
<tr>
<td width="72">Target</td>
<td width="108">Achievement</td>
<td width="48">%</td>
<td width="84">Target</td>
<td width="108">Achievement</td>
<td width="48">%</td>
</tr>
<tr>
<td width="49" valign="bottom">1</td>
<td width="96">BCG</td>
<td width="72">7256</td>
<td width="108">6817</td>
<td width="48">94</td>
<td width="84">10981</td>
<td width="108">10920</td>
<td width="48">99</td>
</tr>
<tr>
<td width="49" valign="bottom">2</td>
<td width="96">DPT3</td>
<td width="72">7256</td>
<td width="108">7382</td>
<td width="48">100</td>
<td width="84">10981</td>
<td width="108">11561</td>
<td width="48">100</td>
</tr>
<tr>
<td width="49" valign="bottom">3</td>
<td width="96">Measles</td>
<td width="72">7256</td>
<td width="108">6365</td>
<td width="48">88</td>
<td width="84">10981</td>
<td width="108">10484</td>
<td width="48">95</td>
</tr>
<tr>
<td width="49" valign="bottom">4</td>
<td width="96">TT2</td>
<td width="72">11436</td>
<td width="108">6901</td>
<td width="48">60</td>
<td width="84">17307</td>
<td width="108">12202</td>
<td width="48">71</td>
</tr>
<tr>
<td width="49" valign="bottom">5</td>
<td width="96">ANC 4 visit</td>
<td width="72">11436</td>
<td width="108">4613</td>
<td width="48">50</td>
<td width="84">17307</td>
<td width="108">5402</td>
<td width="48">47</td>
</tr>
<tr>
<td width="49" valign="bottom">6</td>
<td width="96">PNC Visit</td>
<td width="72">11436</td>
<td width="108">3721</td>
<td width="48">33</td>
<td width="84">17307</td>
<td width="108">5986</td>
<td width="48">35</td>
</tr>
</tbody>
</table>
<p>Table 5 shows that achievement of BCG coverage in intervention is 94 percent, whereas it is 99 percent in non-intervention VDCs. Similarly, Measles coverage in intervention VDCs is 88 percentages, whereas it is 95 percentages in non-intervention VDCs. ANC 4 visit is 50 percent in intervention VDCs whereas it is 47 in non-intervention VDCs. Proportion of delivery conducted by health workers is 12 percent in intervention whereas it is 9 percent in non-intervention VDCs. Status of EPI program coverage in intervention VDCs has been found lower than non-intervention VDCs. However, coverage or achievement of rest of the programme such as safe motherhood and nutrition programme has got positive trend.</p>
<p>Table 6. Comparison of Per PHC-ORC Served in between Intervention and Non-Intervention VDCs</p>
<table border="0" cellspacing="0" cellpadding="0">
<tbody>
<tr>
<td rowspan="2" width="217">Indicators</td>
<td colspan="3" width="216">Intervention VDCs   (21)</td>
<td colspan="3" width="204">Non-Intervention VDCs   (44)</td>
</tr>
<tr>
<td width="60">Clinics</td>
<td width="72">Clients</td>
<td width="84">Per Clinic</td>
<td width="60">Clinics</td>
<td width="60">Clients</td>
<td width="84">Per Clinic</td>
</tr>
<tr>
<td width="217">PHC-ORC served (2061/62)</td>
<td width="60">968</td>
<td width="72">32300</td>
<td width="84">33</td>
<td width="60">1919</td>
<td width="60">50296</td>
<td width="84">26</td>
</tr>
<tr>
<td width="217">PHC-ORC served (2062/63)</td>
<td width="60">1005</td>
<td width="72">31653</td>
<td width="84">31</td>
<td width="60">2117</td>
<td width="60">60618</td>
<td width="84">29</td>
</tr>
<tr>
<td width="217">Trend of clients per clinic</td>
<td width="60"></td>
<td width="72"></td>
<td width="84">-</td>
<td width="60"></td>
<td width="60"></td>
<td width="84">+</td>
</tr>
</tbody>
</table>
<p>Table 6 shows the number of clients served per clinic was 26 in FY 2061/62 which increased as 29 in 2062/63. Likewise number of clients served by a clinic in intervention was 33 in FY 2061/62 which dropped as 31 in FY 2062/63. Therefore, the trend of PHC-ORC serving per clinic is found increased in non-intervention VDCs whereas decreased in intervention VDCs. The CPR in Morang is considered to be highest in Eastern development region.<a title="_ednref6" name="_ednref6" href="#_edn6">[6]</a> Its major proportion is occupied by Voluntary Surgical Contraception (VSC).</p>
<p>Researcher attempted to take some in-depth interviews with some beneficiaries and health workers in field visits. A mother of a neonate who was recently recovered from the treatment said, &#8220;This programme is effective program which take care of we poor and Dalits people. We are really grateful to the government.&#8221; A VHW said &#8220;we have got two-three hours more work load after this MINI intervention. Since almost all neonates get well from the treatment community people and/or caretakers have acknowledged our treatment. Now we have found us differently in our profession. We are satisfied with the programme. Although, it might have affected to conduct the EPI-ORC, PHC-ORC sessions, we are trying to manage it.&#8221;</p>
<p>Some technical problems are found in treatment protocol which may requires consideration. As per our protocol health workers leaves cut umbilicus by applying nothing. Some caretakers are tended to put dust over the umbilicus since they see fresh bleeding. One case of neonatal infection of such incident was investigated in the district. Therefore, application of antiseptic on umbilical cord is felt need of health workers as they often reported in the review meetings. It is a subject to be reviewed in the infection control protocol.<a title="_ednref7" name="_ednref7" href="#_edn7">[7]</a></p>
<h2>Discussion</h2>
<p>According to DoHS Annual Report 2004/2005,<a title="_ednref8" name="_ednref8" href="#_edn8">[8]</a> the ANC first visits as % expected a pregnancy is 77.7% in Morang and national average is 68.8%. The highest numbers of neonatal deaths are in south-central Asian countries and the highest rates are generally in sub-Saharan Africa. The countries in these regions (with some exceptions) have made little progress in reducing such deaths in the past 10-15 years. Globally, the main direct causes of neonatal death are estimated to be preterm birth (28%), severe infections (26%), and asphyxia (23%). Neonatal tetanus accounts for a smaller proportion of deaths (7%), but is easily preventable. Low birth weight is an important indirect cause of death. Maternal complications in labour carry a high risk of neonatal death, and poverty is strongly associated with an increased risk. Preventing deaths in newborn babies has not been a focus of child survival or safe motherhood programmes. While we neglect these challenges, 450 newborn children die every hour, mainly from preventable causes, which is unconscionable in the 21st century.<a title="_ednref9" name="_ednref9" href="#_edn9">[9]</a></p>
<p>There is considerable interest in Nepal and other countries in addressing neonatal mortality.  Nepal has demonstrated a remarkable decline in infant and child mortality over the past 2 decades.  However, there has been less improvement in neonatal mortality, and an increasing proportion of under-5 deaths (40%) are now in the neonatal period.<a title="_ednref10" name="_ednref10" href="#_edn10">[10]</a> Proportion of home delivery in intervention VDCs of Morang<a title="_ednref11" name="_ednref11" href="#_edn11">[11]</a> district is 69.6% which is still vast majority 86.7% in Kailali<a title="_ednref12" name="_ednref12" href="#_edn12">[12]</a> and its national<a title="_ednref13" name="_ednref13" href="#_edn13">[13]</a> average is 88.9%. Nepal Demographic and Health Survey 2001 has estimated that in Nepal nearly 50,000 children under one year of age die every twelve months. Two third of them die within 28 days of age, resulting 30,000 neonatal deaths per year. This means three to four newborns are dying every hour in Nepal. The majority (86.1%) of deaths occurred at home, with only 141 (13.2%) occurring at the health facility.<a title="_ednref14" name="_ednref14" href="#_edn14">[14]</a> A study of low birth weight from four regional hospitals has found a weighed mean incidence of 27%. The strongest risk factors for low birth weight were maternal weight, previous preterm delivery, short birth interval and paternal employment in Agriculture.<a title="_ednref15" name="_ednref15" href="#_edn15">[15]</a></p>
<p>People have well accepted neonatal health services provided by FCHV, MCHW and VHW at community level. Mothers feel convenient home visits, since they reluctant to take out their neonates from house due to cultural barrier. Now, people are gradually changing their attitude and behavior regarding taking care of neonatal care in time. People are impressed with the cure rate of Gentamicin injection. Neonates got well from the treatment even those neonates who were given up their hope by their parents to live any longer. VHWs and MCHWs play vital role in the MINI programme. They have provided home visits for curative services at home. This is one of the first programmes which have established warm relation ship with people by health workers at the door of clients. Community has recognized health workers are helpful for us who save life of neonates from the mouth of deaths in our own house.  Recognition from people is one of the major factors which made health workers motivated towards the neonatal health programme. District health system have accepted this programme as a part of own regular programme which need based and useful. Now, system has adopted this programme and can run even after support from partners would not be any longer.<a title="_ednref16" name="_ednref16" href="#_edn16">[16]</a></p>
<p>This programme has been able to include socially marginalized caste and ethnics who are hard to access due to socio-economic and cultural factors. Service users from disadvantaged groups such as <em>Dalits, indigenous people</em> and <em>Muslims</em> have comprised of 60 percent of the total service users population.</p>
<p>So many positive trend on safe-motherhood, family planning, and CB-IMCI been reported. But EPI coverage and coverage of PHC-ORC are adversely affected by the programme since it is relatively lower than the non-intervention area. Routine immunization and PHC-ORC are adversely affected due to double responsibilities of attending Gentamicin injection and EPI session or PHC-ORC on the same day. This is a big challenge for district management which requires due attention for prevention of adverse effect on EPI session and PHC-ORC.</p>
<p>Review meetings report<a title="_ednref17" name="_ednref17" href="#_edn17">[17]</a> on reproductive health or safe motherhood programme have revealed issues to be considered while formulating comprehensive maternal and child health programme in the district. There was already provision of Birth Preparedness Packages (BPP) for TBA in the district. A supportive partner BNMT put some its effort on the promotion of BPP is selected VDCs. But it has reported that it was inadequate. More orientations for TBAs and pregnant women are needed and more IEC materials to be produced for all VDCs in the district.</p>
<h2>Conclusion</h2>
<p>In Morang, MINI programme has involved Community Health Workers and Female Community Health Volunteers in serving neonates. Remarkable numbers of neonates are covered by the programme. Morang district has got estimated NMR as 21/1000 live births in 2006. The neonatal health programme has supported other existing public health programme. But performance of EPI-ORC and PHC-ORC are slightly decreased in intervention area which demands close and regular monitoring. Success is possible in low-income countries without access to high technology.<a title="_ednref18" name="_ednref18" href="#_edn18">[18]</a> However, incentives for FCHV such as providing bicycle, dress, monthly meeting allowance is necessary. Similarly an incentive package for Community Health Workers (CHW) is also required to make effective neonatal health care programme.</p>
<h2>Acknowledgement</h2>
<p>Researcher duly acknowledges the support of JSI R&amp;T for technical and financial support. Sincere thanks goes to Dr. B.D. Chataut, Dr. Neena Khadka, Dr. Penny Dawson, Dr. Sudhir Khanal, and Dr. Jagannath Sharma, for providing technical guidelines in the programme. Thanks also go to Mr. Ram Bahadur Baniya, Mr. Vijay Sing GC, Mr. Tekraj Koirala and all DPHO and MINI staff for playing vital role in project implementation with keeping mutual cooperation. At last but not least thanks goes to District Technical Working Group (DTWG) for the support and guidance.</p>
<h2>References</h2>
<hr size="1" /><a title="_edn1" name="_edn1" href="#_ednref1">[1]</a> DoHS. National Neonatal Health Policy 2004, Department of Health Services, Teku, Kathmandu, Nepal, 2004.</p>
<p><a title="_edn2" name="_edn2" href="#_ednref2">[2]</a> Peter J Winch, M Ashraful Alam, Afsana Akther, et.al. Local understandings of vulnerability and  protection during the</p>
<p>neonatal period in Sylhet district, Bangladesh: a qualitative study, Lancet 2005; 366: 478-85.</p>
<p><a title="_edn3" name="_edn3" href="#_ednref3">[3]</a> UNDP. Report on Human Development Index. 2004.</p>
<p><a title="_edn4" name="_edn4" href="#_ednref4">[4]</a> DPHO, JSI, SNL. Baseline Survey Report on Neonatal Health in Morang District Nepal. 2005.</p>
<p><a title="_edn5" name="_edn5" href="#_ednref5">[5]</a> CBS. Census Report. National Planning Commission, Central Bureau of Statistics, Kathmandu Nepal, 2001.</p>
<p><a title="_edn6" name="_edn6" href="#_ednref6">[6]</a> ERHD. Annual Reports, MoHP, Eastern Regional Health Directorate Dhankuta, 2057/58, 2058/59, 2059/60, 2060/61,</p>
<p>2061/62.</p>
<p><a title="_edn7" name="_edn7" href="#_ednref7">[7]</a> Luke C Mullany, Gary L Darmstadt, Subarna K Khatry, et al. Topical applications of Chlorhexidine to the  umbilical cord</p>
<p>for prevention of Omphalitis and neonatal mortality in southern Nepal: a Community-based, cluster-randomised trial.</p>
<p>Lancet 2006; 367: 910-18.</p>
<p><a title="_edn8" name="_edn8" href="#_ednref8">[8]</a> DoHS. Annual Report, Ministry of Health and Population, Department of Health Services, Kathmandu,</p>
<p>Nepal, 2004/2005.</p>
<p><a title="_edn9" name="_edn9" href="#_ednref9">[9]</a> Joy E Lawn, Simon Cousens, Jelka Zupan. 4 million neonatal deaths: When? Where? Why? www.thelancet.com retrieved</p>
<p>on March 5, 2005.</p>
<p><a title="_edn10" name="_edn10" href="#_ednref10">[10]</a> UNICEF. Nepal Multiple Indicator Surveillance. Fifth Cycle:  Care During Pregnancy and Delivery:</p>
<p>Implications for Protecting the Health of Mothers and their Babies. June 1998.</p>
<p><a title="_edn11" name="_edn11" href="#_ednref11">[11]</a> DPHO Morang/MINI. Baseline Survey Report on Neonatal Health in Morang District Nepal. 2005.</p>
<p><a title="_edn12" name="_edn12" href="#_ednref12">[12]</a> SNL/CSF. Baseline Survey Report on Saving Newborn Lives in 18 VDCs and 1 municipality of Kailali, 2003.</p>
<p><a title="_edn13" name="_edn13" href="#_ednref13">[13]</a> DoHS. Demographic and Health Survey, Ministry of Health Department of Health Services, 2001.</p>
<p><a title="_edn14" name="_edn14" href="#_ednref14">[14]</a> F. Baiden1, A. Hodgson1, M. Adjuik1, et.al. Trend and causes of neonatal mortality in  the Kassena- Nankana district of</p>
<p>northern Ghana, 1995-2002, Tropical Medicine and International Health,  Volume 11 no 4 pp 532-539 April 2006.</p>
<p><a title="_edn15" name="_edn15" href="#_ednref15">[15]</a> MIRA/UNICEF. Low Birth Weight prevalence and associated factors in four regions of Nepal, Kathmandu. 2000.</p>
<p><a title="_edn16" name="_edn16" href="#_ednref16">[16]</a> Subba NR. Assessment Report on Morang Innovative Neonatal Intervention. 2006.</p>
<p><a title="_edn17" name="_edn17" href="#_ednref17">[17]</a> DPHO, Annual report, District Public Health Morang. 2061/62.</p>
<p><a title="_edn18" name="_edn18" href="#_ednref18">[18]</a> Jose Martines, Vinod K Paul, Zulfiqar A Bhutta, et.al. Neonatal survival: a call for action. Lancet 2005; 365: 1189-97.</p>


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