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<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" article-type="research-article" xml:lang="en">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">JPHIA</journal-id>
<journal-title-group>
<journal-title>Journal of Public Health in Africa</journal-title>
</journal-title-group>
<issn pub-type="ppub">2038-9922</issn>
<issn pub-type="epub">2038-9930</issn>
<publisher>
<publisher-name>AOSIS</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">JPHIA-17-1528</article-id>
<article-id pub-id-type="doi">10.4102/jphia.v17i1.1528</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Factors associated with completion of 6 months of isoniazid preventive therapy among under-five children exposed to tuberculosis patients in Blantyre, Malawi</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-4562-6678</contrib-id>
<name>
<surname>Mzama</surname>
<given-names>Glory T.</given-names>
</name>
<xref ref-type="aff" rid="AF0001">1</xref>
<xref ref-type="aff" rid="AF0002">2</xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-7025-4992</contrib-id>
<name>
<surname>Kaswaswa</surname>
<given-names>Kruger</given-names>
</name>
<xref ref-type="aff" rid="AF0003">3</xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-4344-0842</contrib-id>
<name>
<surname>Chirwa</surname>
<given-names>Tobias</given-names>
</name>
<xref ref-type="aff" rid="AF0004">4</xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-6608-6930</contrib-id>
<name>
<surname>Kagura</surname>
<given-names>Juliana</given-names>
</name>
<xref ref-type="aff" rid="AF0001">1</xref>
</contrib>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-1607-1685</contrib-id>
<name>
<surname>Ibisomi</surname>
<given-names>Latifat</given-names>
</name>
<xref ref-type="aff" rid="AF0001">1</xref>
<xref ref-type="aff" rid="AF0005">5</xref>
</contrib>
<aff id="AF0001"><label>1</label>Division of Epidemiology and Biostatistics, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa</aff>
<aff id="AF0002"><label>2</label>Department of Community and Environmental Health, School of Global and Public Health, Faculty of Health Sciences, Kamuzu University of Health Sciences, Blantyre, Malawi</aff>
<aff id="AF0003"><label>3</label>Department of Pathology, Kamuzu University of Health Sciences, Blantyre, Malawi</aff>
<aff id="AF0004"><label>4</label>School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa</aff>
<aff id="AF0005"><label>5</label>Department of Monitoring and Evaluation, Nigerian Institute of Medical Research, Lagos, Nigeria</aff>
</contrib-group>
<author-notes>
<corresp id="cor1"><bold>Corresponding author:</bold> Glory Mzama, <email xlink:href="glorytamanda@gmail.com">glorytamanda@gmail.com</email></corresp>
</author-notes>
<pub-date pub-type="epub"><day>13</day><month>03</month><year>2026</year></pub-date>
<pub-date pub-type="collection"><year>2026</year></pub-date>
<volume>17</volume>
<issue>1</issue>
<elocation-id>1528</elocation-id>
<history>
<date date-type="received"><day>02</day><month>07</month><year>2025</year></date>
<date date-type="accepted"><day>15</day><month>01</month><year>2026</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2026. The Authors</copyright-statement>
<copyright-year>2026</copyright-year>
<license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/">
<license-p>Licensee: AOSIS. This work is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.</license-p>
</license>
</permissions>
<abstract>
<sec id="st1">
<title>Background</title>
<p>The World Health Organization recommends 6 months of isoniazid preventive therapy (IPT) to children who have been exposed to tuberculosis (TB) patients to prevent active TB. Although IPT is an efficacious intervention, it is underutilised.</p>
</sec>
<sec id="st2">
<title>Aim</title>
<p>The aim of this study was to examine factors associated with the completion of IPT among children under 5 years who have been exposed to TB patients.</p>
</sec>
<sec id="st3">
<title>Setting</title>
<p>This was a secondary data analysis; the primary study was conducted in Blantyre, Malawi.</p>
</sec>
<sec id="st4">
<title>Methods</title>
<p>This study was a secondary analysis of a randomised controlled trial with follow-up at 3 months and 6 months. Univariable and multivariable logistic regression models were used to identify factors associated with the completion of IPT.</p>
</sec>
<sec id="st5">
<title>Results</title>
<p>One hundred and twenty-eight children were included, of whom 58 (45.3&#x0025;) completed IPT. Index patient human immunodeficiency virus (HIV)-positive status (adjusted odds ratio [aOR] = 0.39, 95&#x0025; confidence interval [CI]: 0.16&#x2013;0.94) and longer distance (&#x003E; 5 km) (aOR = 0.25, 95&#x0025; CI: 0.07&#x2013;0.89) were associated with lower IPT completion. Wealth status, household health-seeking decision maker and type of contact tracing were associated with higher IPT completion, with aOR = 3.42 (95&#x0025; CI: 1.19&#x2013;9.88) for children coming from households of high wealth status, aOR = 3.17 (95&#x0025; CI: 1.19&#x2013;8.42) in which the health-seeking decision maker was the parent compared to other guardians, and aOR = 3.13 (95&#x0025; CI: 1.25&#x2013;7.84) for children who were identified through patient-conducted tracing compared to routine contact tracing.</p>
</sec>
<sec id="st6">
<title>Conclusion</title>
<p>Human immunodeficiency virus status, wealth status, household health-seeking decision maker, proximity to health facility and type of contact tracing are key determinants of IPT completion among children.</p>
</sec>
<sec id="st7">
<title>Contribution</title>
<p>This study provides valuable insights into the factors that affect the completion of IPT. By addressing these factors, completion of IPT can be improved, thereby preventing TB among children.</p>
</sec>
</abstract>
<kwd-group>
<kwd>tuberculosis</kwd>
<kwd>child contacts</kwd>
<kwd>isoniazid preventive therapy</kwd>
<kwd>completion of IPT</kwd>
<kwd>adherence</kwd>
</kwd-group>
<funding-group>
<funding-statement><bold>Funding information</bold> The principal investigator (Glory T. Mzama) was a recipient of a full master&#x2019;s degree scholarship awarded by the Division of Epidemiology and Biostatistics, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa. The research project was supported by a postgraduate training scholarship from the TDR, the UNICEF/UNDP/World Bank/WHO Special Programme for Research and Training in Tropical Diseases hosted at the World Health Organization in Geneva, Switzerland. TDR grant number: B40299.</funding-statement>
</funding-group>
</article-meta>
</front>
<body>
<sec id="s0001">
<title>Introduction</title>
<p>Tuberculosis (TB) is one of the leading causes of morbidity and mortality globally and remains a public health concern.<sup><xref ref-type="bibr" rid="CIT0001">1</xref></sup> One of the most vulnerable groups affected by TB is children. Children who live with TB patients have a higher risk of getting infected with the disease as a result of their weak immune systems.<sup><xref ref-type="bibr" rid="CIT0002">2</xref>,<xref ref-type="bibr" rid="CIT0003">3</xref></sup> According to the World Health Organization (WHO) global estimates, nearly 10 million people have TB annually, of which 1.2 million are children. Furthermore, every year, 1.5 million deaths are attributed to TB, of which 14&#x0025; are among children.<sup><xref ref-type="bibr" rid="CIT0001">1</xref>,<xref ref-type="bibr" rid="CIT0003">3</xref></sup> Malawi is among the TB-endemic countries in Africa. In 2022, Malawi had an estimated TB incidence of 125 per 100 000 population. In the same year, 18 000 people developed TB in Malawi, which included 2800 children.<sup><xref ref-type="bibr" rid="CIT0003">3</xref>,<xref ref-type="bibr" rid="CIT0004">4</xref></sup></p>
<p>In response to the burden of TB, the WHO recommends tuberculosis preventive therapy (TPT) such as isoniazid preventive therapy (IPT) among child contacts of TB patients, which is to be taken once daily for a period of 6 months as one way of preventing progression to active TB.<sup><xref ref-type="bibr" rid="CIT0005">5</xref>,<xref ref-type="bibr" rid="CIT0006">6</xref></sup> In addition to IPT, the WHO also recommends shorter TPT regimens such as rifapentine, also known as 3 months of isoniazid (H) and rifapentine (P) (3HP), which is to be taken once weekly for a period of 3 months and 1HP, which is to be taken once daily for a period of 28 days.<sup><xref ref-type="bibr" rid="CIT0005">5</xref></sup> Tuberculosis preventive therapy is also in line with achieving the WHO End TB strategy target, which aims to reduce the incidence of TB by 90&#x0025; by 2035. Tuberculosis preventive therapy is also one of the top 10 indicators for monitoring the End TB Strategy&#x2019;s performance.<sup><xref ref-type="bibr" rid="CIT0007">7</xref></sup> The effectiveness of IPT greatly depends on adherence and completion.<sup><xref ref-type="bibr" rid="CIT0005">5</xref></sup> However, despite the development of the WHO guidelines for administering IPT to child contacts, the effective implementation of these guidelines has not been optimal, especially in countries with high TB burden, including Malawi.<sup><xref ref-type="bibr" rid="CIT0008">8</xref></sup> Thus, the uptake and completion of IPT remain low.<sup><xref ref-type="bibr" rid="CIT0008">8</xref></sup> Isoniazid preventive therapy is inconsistently given to child contacts, and a gap exists between the expected number of child contacts eligible for screening and those actually starting and completing IPT.<sup><xref ref-type="bibr" rid="CIT0009">9</xref></sup></p>
<p>A report by the WHO in 2018 estimated that out of 1.3 million child contacts that were eligible for IPT, only 27&#x0025; commenced IPT.<sup><xref ref-type="bibr" rid="CIT0001">1</xref>,<xref ref-type="bibr" rid="CIT0003">3</xref></sup> According to the Malawi National TB control programme 2020 annual report, there were 9835 new confirmed TB index cases with 5025 estimated child contacts who were eligible for IPT. However, only 2364 (47&#x0025;) of the child contacts completed IPT.<sup><xref ref-type="bibr" rid="CIT0004">4</xref></sup> In Malawi, the programmatic context has not significantly evolved in the period from 2014 to 2020. The completion of IPT among eligible child contacts remains low (35&#x0025; in 2014, 40&#x0025; in 2016, 46&#x0025; in 2018 and 47&#x0025; in 2020).<sup><xref ref-type="bibr" rid="CIT0004">4</xref></sup> This finding suggests the existence of barriers to completion of IPT among child contacts in Malawi.<sup><xref ref-type="bibr" rid="CIT0004">4</xref></sup> Existing literature highlights several hindrances to completion of IPT across different countries, including presence of side effects of IPT,<sup><xref ref-type="bibr" rid="CIT0006">6</xref>,<xref ref-type="bibr" rid="CIT0010">10</xref>,<xref ref-type="bibr" rid="CIT0011">11</xref>,<xref ref-type="bibr" rid="CIT0012">12</xref></sup> duration of IPT,<sup><xref ref-type="bibr" rid="CIT0013">13</xref></sup> pill burden,<sup><xref ref-type="bibr" rid="CIT0006">6</xref>,<xref ref-type="bibr" rid="CIT0014">14</xref></sup> drug stockouts,<sup><xref ref-type="bibr" rid="CIT0011">11</xref>,<xref ref-type="bibr" rid="CIT0015">15</xref></sup> age of the child,<sup><xref ref-type="bibr" rid="CIT0016">16</xref></sup> sex of the child,<sup><xref ref-type="bibr" rid="CIT0009">9</xref>,<xref ref-type="bibr" rid="CIT0017">17</xref></sup> type of TB of the index case,<sup><xref ref-type="bibr" rid="CIT0018">18</xref></sup> HIV status of the index case,<sup><xref ref-type="bibr" rid="CIT0002">2</xref>,<xref ref-type="bibr" rid="CIT0009">9</xref>,<xref ref-type="bibr" rid="CIT0012">12</xref></sup> level of education of the household head and/or caregiver,<sup><xref ref-type="bibr" rid="CIT0002">2</xref>,<xref ref-type="bibr" rid="CIT0019">19</xref>,<xref ref-type="bibr" rid="CIT0020">20</xref></sup> socioeconomic status of the household,<sup><xref ref-type="bibr" rid="CIT0009">9</xref>,<xref ref-type="bibr" rid="CIT0020">20</xref>,<xref ref-type="bibr" rid="CIT0021">21</xref></sup> number of under-five children in the household<sup><xref ref-type="bibr" rid="CIT0012">12</xref></sup> and distance to the health facility.<sup><xref ref-type="bibr" rid="CIT0009">9</xref>,<xref ref-type="bibr" rid="CIT0021">21</xref></sup> However, the factors that are associated with the completion of IPT among child contacts in Malawi remain unclear, as there is a dearth of published evidence on these factors in Malawi. Thus, this study examined the factors associated with the completion of 6 months of IPT among children under 5 years, who have been exposed to TB patients in Blantyre, Malawi.<sup><xref ref-type="bibr" rid="CIT0003">3</xref></sup> Identification of these factors will aid in developing strategies and targeted interventions that will improve IPT completion in the population, thereby reducing TB incidence among child contacts in Malawi and contributing to the achievement of the WHO End TB Strategy.</p>
</sec>
<sec id="s0002">
<title>Research methods and design</title>
<sec id="s20003">
<title>Study design</title>
<p>This study was a secondary analysis of a randomised controlled trial (RCT) titled &#x2018;Sustainable household contact tracing and screening for tuberculosis patients and families&#x2019;. The RCT (Trial registration number: ISRCTN81659509) aimed to implement and assess the effectiveness of a home-based TB screening strategy delivered at TB patients&#x2019; households. In the RCT, the study participants were randomly assigned to<sup><xref ref-type="bibr" rid="CIT0001">1</xref></sup> a standard of care group that followed standard and/or routine household screening, in which TB index patients were told to bring their household contacts for TB screening to the facility or<sup><xref ref-type="bibr" rid="CIT0002">2</xref></sup> the intervention group, called patient-delivered household active case finding for TB (PACTS), which involved the home-based TB screening strategy. Participants assigned to the intervention group were given a screening and/or triage tool and sputum collection pots for each household contact that was reported. The screening tool comprised information such as symptom screening, IPT eligibility for household contacts and sputum collection for the contacts. This screening was carried out by either the index patient or the parent and/or caregiver in the household. The TB screening was performed for both adult and child contacts. All child contacts were followed up at 3 months and 6 months for uptake and completion of IPT.<sup><xref ref-type="bibr" rid="CIT0022">22</xref></sup> Isoniazid preventive therapy completion was ascertained through clinical records, caregiver reports and inspection of medication bottles at 3- and 6-month visits. The study was conducted from May 2014 to November 2015 at Queen Elizabeth Central Hospital (QECH) in Blantyre, Malawi. The QECH is one of the tertiary-level facilities and one of the largest hospitals in Malawi. Most TB cases are diagnosed and managed at this hospital.</p>
</sec>
<sec id="s20004">
<title>Study population</title>
<p>The study population for this study was all under-five child contacts identified from TB cases in the RCT, irrespective of the trial arm in which the index case was in the RCT. These children were 128 in total.</p>
</sec>
<sec id="s20005">
<title>Variables used in the study</title>
<p>The dependent variable of this study was the completion of 6 months of IPT among all child contacts. The treatment outcome variable was coded as binary &#x2018;IPT completed&#x2019; and &#x2018;IPT not completed&#x2019;.</p>
<p>The independent variables were at various levels. Contact characteristics included age, sex and relationship with the household head. Variables assessed also included index patient characteristics such as index case TB type and human immunodeficiency virus (HIV) status, which were used in the same way that they were originally coded in the primary study. Household characteristics such as household head employment, household head education level, health-seeking decision maker and wealth quintile consisted of the following categories in the primary study: least poor, less poor than average, average, poorer than average and poorest. These were re-categorised into three categories: high wealth status, medium wealth status and low-wealth status. Thus, &#x2018;least poor&#x2019; and &#x2018;less than poor than average&#x2019; were grouped as high wealth status, average was grouped as medium wealth status, and &#x2018;poorer than average&#x2019; and &#x2018;poorest&#x2019; were grouped as low-wealth status. For health access characteristics, the variables used were distance to the health facility (in kilometres) and the type of contact tracing and screening used. For distance, in the primary study, the distance variable had four categories, namely, &#x2018;less than 1 km&#x2019;, &#x2018;more than 1 km but less than 5 km&#x2019;, &#x2018;more than 5 km but less than 10 km&#x2019; and &#x2018;more than 10 km&#x2019;. For the purpose of this study, the variable was categorised into two categories: &#x2018;5 km or less&#x2019; and &#x2018;more than 5 km&#x2019;. The variable type of contact tracing and screening used a binary variable (&#x2018;patient-conducted tracing&#x2019; and &#x2018;routine contact tracing&#x2019;).</p>
</sec>
<sec id="s20006">
<title>Data analysis</title>
<p>A descriptive analysis of the distribution of baseline characteristics was performed. For categorical variables, percentages and frequencies were reported. Numerical variables were summarised as means and standard deviations if normally distributed and as median and interquartile range if not normally distributed. The prevalence of completion of IPT was estimated across all explanatory variables. This prevalence was reported as percentages for categorical variables, and <italic>t</italic>-test and Wilcoxon rank sum test were used for numerical variables in which medians or interquartile ranges (IQR) were compared. Binary logistic regression models were used to investigate factors associated with completion of IPT. Univariable and multivariable analyses were conducted. Unadjusted and adjusted odds ratios and 95&#x0025; confidence intervals (CI) were reported. For building the multivariable regression model, stepwise regression was used: sex, age of the child and index HIV status were included a priori, and other variables were included if found significant from the univariable logistic regression model. Variables with <italic>p</italic>-values &#x003C; 0.20 in univariable analysis or those supported by literature were included in the multivariable model. For handling of missing data, we used complete case analysis.</p>
</sec>
<sec id="s20007">
<title>Data source</title>
<p>PACTS trial data were used (data from the primary study) in this study. Permission to use the data was sought and was approved by the principal investigator of the primary study, Dr Kruger Kaswaswa from the Kamuzu University of Health Sciences (KUHES). Data were obtained from the principal investigator of the primary study.</p>
</sec>
<sec id="s20008">
<title>Ethical considerations</title>
<p>Ethical clearance to conduct this study was obtained from the University of the Witwatersrand Human Research Ethics Committee (No. M230121 MED22-10-172). The primary study was approved by the Institutional Review Board for Dr Kruger Kaswaswa from the Kamuzu University of Health Sciences (KUHES) in Malawi. The primary participants provided consent for the primary study, including the use of anonymised data for secondary data analyses. The data shared were anonymised, and there was no identifying information. This study was a secondary data analysis; thus, the ethics review did not require individual informed consents.</p>
</sec>
</sec>
<sec id="s0009">
<title>Results</title>
<p><xref ref-type="fig" rid="F0001">Figure 1</xref> is a flow diagram of child contacts included in the study. According to the primary study, 213 index patients were identified from 197 households. There were 172 child contacts under 5 years, who were identified from the 213 index cases, of which 128 were eligible and referred for initiation of IPT. Forty-four child contacts were not eligible to start IPT because they had signs and symptoms of TB during TB screening and assessment. Therefore, this study had 128 child contacts who had IPT completion status assessed.</p>
<fig id="F0001">
<label>FIGURE 1</label>
<caption><p>Flowchart showing the number of children included in the study.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="JPHIA-17-1528-g001.tif"/>
</fig>
<sec id="s20010">
<title>Baseline characteristics</title>
<p><xref ref-type="table" rid="T0001">Table 1</xref> shows the baseline characteristics of the child contacts, index case characteristics, household characteristics and health access characteristics. The female child contacts constituted 52.0&#x0025; of the study population. The median age of the child contacts was 3 (IQR: 1&#x2013;4), and 71.9&#x0025; were children of the household head. About two-thirds of the related-index cases had smear-positive TB, and 52.3&#x0025; were HIV-positive. About half of the child contacts came from households with low-wealth class (52.3&#x0025;), 73.4&#x0025; of their household heads were employed, and 53.9&#x0025; had no school and/or primary level of education. The median number of children under five in the households was two (IQR: 1&#x2013;3). The majority of the child contacts had their parents (68.8&#x0025;) as the main healthcare-seeking decision maker, and the median number of people living in households was six (IQR: 4&#x2013;8). Over four to five (82.0&#x0025;) of the children&#x2019;s contacts lived at a distance of 5 km or less from the health facility, and 51.6&#x0025; were identified through routine contact tracing.</p>
<table-wrap id="T0001">
<label>TABLE 1</label>
<caption><p>Description of child contact characteristics, index case characteristics, household characteristics and health access characteristics of the child contacts.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Variables</th>
<th valign="top" align="left">Variable categories</th>
<th valign="top" align="center"><italic>n</italic></th>
<th valign="top" align="center">&#x0025;</th>
<th valign="top" align="center">Median</th>
<th valign="top" align="center">IQR</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">Total</td>
<td align="left">-</td>
<td align="center">128</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left"><bold>Child contact characteristics</bold></td>
<td align="left">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">Sex</td>
<td align="left">Female</td>
<td align="center">66</td>
<td align="center">52.0</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Male</td>
<td align="center">62</td>
<td align="center">48.0</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Age in years</td>
<td align="left">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">3</td>
<td align="center">1&#x2013;4</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">Relationship with household head</td>
<td align="left">Other</td>
<td align="center">36</td>
<td align="center">28.1</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Child</td>
<td align="center">92</td>
<td align="center">71.9</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left"><bold>Index case characteristics</bold></td>
<td align="left">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">TB type</td>
<td align="left">Smear-negative TB</td>
<td align="center">43</td>
<td align="center">33.6</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Smear-positive TB</td>
<td align="center">85</td>
<td align="center">66.4</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">HIV status of the index case<xref ref-type="table-fn" rid="TFN0001">&#x2020;</xref></td>
<td align="left">HIV-negative</td>
<td align="center">50</td>
<td align="center">39.1</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">HIV-positive</td>
<td align="center">67</td>
<td align="center">52.3</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left"><bold>Household characteristics</bold></td>
<td align="left">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">Wealth status<xref ref-type="table-fn" rid="TFN0002">&#x2021;</xref></td>
<td align="left">Low</td>
<td align="center">67</td>
<td align="center">52.3</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Medium</td>
<td align="center">22</td>
<td align="center">17.2</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">High</td>
<td align="center">37</td>
<td align="center">28.9</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">Household head&#x2019;s employment status</td>
<td align="left">Unemployed</td>
<td align="center">34</td>
<td align="center">26.6</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Employed</td>
<td align="center">94</td>
<td align="center">73.4</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">Household head&#x2019;s education level</td>
<td align="left">No school and/or primary</td>
<td align="center">69</td>
<td align="center">53.9</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Secondary and/or higher</td>
<td align="center">59</td>
<td align="center">46.1</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Number of &#x003C; 5 children in the household</td>
<td align="left">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">2</td>
<td align="center">1&#x2013;3</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">Household health-seeking decision maker</td>
<td align="left">Other guardians</td>
<td align="center">40</td>
<td align="center">31.2</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Parents</td>
<td align="center">88</td>
<td align="center">68.8</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Number of people living in the household</td>
<td align="left">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">6</td>
<td align="center">4&#x2013;8</td>
</tr>
<tr>
<td align="left"><bold>Health access characteristics</bold></td>
<td align="left">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">Distance to health facility (km)</td>
<td align="left">5 km or less</td>
<td align="center">105</td>
<td align="center">82.0</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">More than 5 km</td>
<td align="center">23</td>
<td align="center">18.0</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">Type of contact tracing</td>
<td align="left">Routine contact tracing</td>
<td align="center">66</td>
<td align="center">51.6</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Patient-conducted tracing</td>
<td align="center">62</td>
<td align="center">48.4</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>HIV, human immunodeficiency virus; TB, tuberculosis; IQR, interquartile range.</p></fn>
<fn id="TFN0001"><label>&#x2020;</label><p>, There were 11 index cases with unknown HIV status;</p></fn>
<fn id="TFN0002"><label>&#x2021;</label><p>, There were two child contacts with missing information on wealth status.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s20011">
<title>Prevalence of isoniazid preventive therapy completion among child contacts by different characteristics</title>
<p><xref ref-type="table" rid="T0002">Table 2</xref> presents IPT completion among child contacts by different characteristics. Overall, 45.3&#x0025; of the child contacts completed IPT. Completion of IPT was high among female child contacts (48.5&#x0025;) compared to male child contacts (41.9&#x0025;), but this difference was insignificant (<italic>p</italic> = 0.46). The child contacts that were younger had a slightly higher completion rate with a median age of 2 (IQR: 1&#x2013;3), even though it was not statistically significant (<italic>p</italic> = 0.26). Child contacts who had the head of the household as their parent had a higher completion of 47.8&#x0025; compared to that for child contacts who were not children of the household head (38.9&#x0025;) (<italic>p</italic> = 0.36).</p>
<table-wrap id="T0002">
<label>TABLE 2</label>
<caption><p>Completion of isoniazid preventive therapy among child contacts by different characteristics.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left" rowspan="2">Variables</th>
<th valign="top" align="left" rowspan="2">Variable categories</th>
<th valign="top" align="center" rowspan="2">Total (<italic>n</italic>)</th>
<th valign="top" align="center" colspan="4">IPT completed</th>
<th valign="top" align="center" colspan="4">IPT not completed</th>
<th valign="top" align="center" rowspan="2"><italic>p-<italic>value</italic></italic></th>
</tr>
<tr>
<th valign="top" align="center"><italic>n</italic></th>
<th valign="top" align="center">&#x0025;</th>
<th valign="top" align="center">Median</th>
<th valign="top" align="center">IQR</th>
<th valign="top" align="center"><italic>n</italic></th>
<th valign="top" align="center">&#x0025;</th>
<th valign="top" align="center">Median</th>
<th valign="top" align="center">IQR</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">Total</td>
<td align="left">-</td>
<td align="center">128</td>
<td align="center">58</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">70</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left"><bold>Child contact characteristics</bold></td>
<td align="left">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">Sex</td>
<td align="left">Female</td>
<td align="center">66</td>
<td align="center">32</td>
<td align="center">48.5</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">34</td>
<td align="center">51.5</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">0.46</td>
</tr>
<tr>
<td align="left">Male</td>
<td align="center">62</td>
<td align="center">26</td>
<td align="center">41.9</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">36</td>
<td align="center">58.1</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Age in years</td>
<td align="left">-</td>
<td align="center">128</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">2</td>
<td align="center">1&#x2013;3</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">3</td>
<td align="center">1&#x2013;4</td>
<td align="center">0.26</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">Relationship with household head</td>
<td align="left">Other</td>
<td align="center">36</td>
<td align="center">14</td>
<td align="center">38.9</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">22</td>
<td align="center">61.1</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">0.36</td>
</tr>
<tr>
<td align="left">Child</td>
<td align="center">92</td>
<td align="center">44</td>
<td align="center">47.8</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">48</td>
<td align="center">52.2</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left"><bold>Index case characteristics</bold></td>
<td align="left">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">TB type</td>
<td align="left">Smear-negative TB</td>
<td align="center">43</td>
<td align="center">20</td>
<td align="center">46.5</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">23</td>
<td align="center">53.5</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">0.85</td>
</tr>
<tr>
<td align="left">Smear-positive TB</td>
<td align="center">85</td>
<td align="center">38</td>
<td align="center">47.7</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">47</td>
<td align="center">55.3</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">HIV status of the index case<xref ref-type="table-fn" rid="TFN0003">&#x2020;</xref></td>
<td align="left">HIV-negative</td>
<td align="center">50</td>
<td align="center">28</td>
<td align="center">56.0</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">22</td>
<td align="center">44.0</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">0.07</td>
</tr>
<tr>
<td align="left">HIV-positive</td>
<td align="center">67</td>
<td align="center">26</td>
<td align="center">38.8</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">41</td>
<td align="center">61.2</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left"><bold>Household characteristics</bold></td>
<td align="left">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">Wealth status<xref ref-type="table-fn" rid="TFN0004">&#x2021;</xref></td>
<td align="left">Low</td>
<td align="center">67</td>
<td align="center">23</td>
<td align="center">34.3</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">44</td>
<td align="center">65.7</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">0.01</td>
</tr>
<tr>
<td align="left">Medium</td>
<td align="center">22</td>
<td align="center">10</td>
<td align="center">45.5</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">12</td>
<td align="center">54.5</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">High</td>
<td align="center">37</td>
<td align="center">24</td>
<td align="center">64.9</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">13</td>
<td align="center">35.1</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">Household head&#x2019;s employment status</td>
<td align="left">Unemployed</td>
<td align="center">34</td>
<td align="center">14</td>
<td align="center">41.2</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">20</td>
<td align="center">58.8</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">0.57</td>
</tr>
<tr>
<td align="left">Employed</td>
<td align="center">94</td>
<td align="center">44</td>
<td align="center">46.8</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">50</td>
<td align="center">53.2</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">Household head&#x2019;s education level</td>
<td align="left">No school and/or primary</td>
<td align="center">69</td>
<td align="center">28</td>
<td align="center">40.6</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">41</td>
<td align="center">59.4</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">0.25</td>
</tr>
<tr>
<td align="left">Secondary and/or higher</td>
<td align="center">59</td>
<td align="center">30</td>
<td align="center">50.8</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">29</td>
<td align="center">49.2</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="left"></td>
</tr>
<tr>
<td align="left">Number of &#x003C; 5 children in the household</td>
<td align="left">-</td>
<td align="center">128</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">2</td>
<td align="center">1&#x2013;3</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">2</td>
<td align="center">1&#x2013;3</td>
<td align="center">0.15</td>
</tr>
<tr>
<td align="left">Household health-seeking</td>
<td align="left">Other guardians</td>
<td align="center">40</td>
<td align="center">11</td>
<td align="center">27.5</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">29</td>
<td align="center">72.5</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">0.01</td>
</tr>
<tr>
<td align="left">Decision maker</td>
<td align="left">Parents</td>
<td align="center">88</td>
<td align="center">47</td>
<td align="center">53.4</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">41</td>
<td align="center">46.6</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Number of people living in the household</td>
<td align="left">-</td>
<td align="center">128</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">5</td>
<td align="center">4&#x2013;6</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">6</td>
<td align="center">5&#x2013;8</td>
<td align="center">0.01</td>
</tr>
<tr>
<td align="left"><bold>Health access characteristics</bold></td>
<td align="left">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">Distance to health facility (km)</td>
<td align="left">5 km or less</td>
<td align="center">105</td>
<td align="center">52</td>
<td align="center">49.5</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">53</td>
<td align="center">50.5</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">0.04</td>
</tr>
<tr>
<td align="left">More than 5 km</td>
<td align="center">23</td>
<td align="center">6</td>
<td align="center">26.1</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">17</td>
<td align="center">73.9</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">Type of contact tracing</td>
<td align="left">Routine contact tracing</td>
<td align="center">66</td>
<td align="center">25</td>
<td align="center">37.9</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">41</td>
<td align="center">62.1</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">0.08</td>
</tr>
<tr>
<td align="left">Patient-conducted tracing</td>
<td align="center">62</td>
<td align="center">33</td>
<td align="center">53.2</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">29</td>
<td align="center">46.8</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>IPT, isoniazid preventive therapy; IQR, interquartile range; TB, tuberculosis; HIV, human immunodeficiency virus.</p></fn>
<fn id="TFN0003"><label>&#x2020;</label><p>, There were 11 index cases with unknown HIV status;</p></fn>
<fn id="TFN0004"><label>&#x2021;</label><p>, There were 2 child contacts with missing information on wealth status.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Isoniazid preventive therapy completion was slightly higher for child contacts whose related-index case had smear-negative TB type (46.5&#x0025;) than (44.7&#x0025;) for the smear-positive TB (<italic>p</italic> = 0.85). Isoniazid preventive therapy completion was high among child contacts whose index case was HIV-negative (56.0&#x0025;) (<italic>p</italic> = 0.07) compared to that of child contacts whose index case was HIV-positive (38.8&#x0025;).</p>
<p>Children from high-wealth status households had a significantly higher completion of 64.9&#x0025; compared to that of children from low-wealth status (34.3&#x0025;) (<italic>p</italic> = 0.01). Completion was slightly higher in households in which the household head was employed (46.8&#x0025;) and had a secondary and/or higher level of education (50.8&#x0025;). The median number of under-five children in the household who completed IPT was two (IQR: 1&#x2013;3). Completion was higher among child contacts whose parent was the health-seeking decision maker (53.4&#x0025;), compared to other relatives (27.5&#x0025;) (<italic>p</italic> = 0.01). The median number of people living in the household who completed IPT was five (IQR: 4&#x2013;6) (<italic>p</italic> = 0.01).</p>
<p>Child contacts that lived at a distance of 5 km or less from the health facility had significantly higher prevalence of IPT completion (49.5&#x0025;), compared to those that lived further away (26.1&#x0025;) (<italic>p</italic> = 0.04). There was higher completion among child contacts who were identified through the patient-conducted tracing (53.2&#x0025;) compared to those who were identified through routine contact tracing (37.9&#x0025;) (<italic>p</italic> = 0.08).</p>
</sec>
<sec id="s20012">
<title>Factors associated with completion of isoniazid preventive therapy</title>
<p><xref ref-type="table" rid="T0003">Table 3</xref> shows the univariable and multivariable analyses for the completion of IPT. For wealth status, the odds of completing IPT among child contacts who came from high wealth status were 4.18 times the odds of completing IPT among child contacts who came from low-wealth status (odds ratio [OR] = 4.18, 95&#x0025; CI: 1.70&#x2013;10.25, <italic>p</italic> = 0.01). The role of the household healthcare decision maker affected IPT completion; the odds of completing IPT among child contacts whose parents were the household health-seeking decision maker were 2.58 times the odds of completing IPT among child contacts whose other guardian was the household health-seeking decision maker (OR = 2.58, 95&#x0025; CI: 1.12&#x2013;5.95, <italic>p</italic> = 0.02). For the number of people living in the household, the odds of completing IPT were 0.81 (OR = 0.81, 95&#x0025; CI: 0.69&#x2013;0.96, <italic>p</italic> = 0.01) for each unit increase in the number of people in the household.</p>
<table-wrap id="T0003">
<label>TABLE 3</label>
<caption><p>Factors associated with the completion of isoniazid preventive therapy among child contacts.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left" rowspan="2">Variables</th>
<th valign="top" align="left" rowspan="2">Variable categories</th>
<th valign="top" align="center" colspan="2">Univariable</th>
<th valign="top" align="center" colspan="2">Multivariable</th>
</tr>
<tr>
<th valign="top" align="center">OR</th>
<th valign="top" align="center">95&#x0025; CI</th>
<th valign="top" align="center">OR</th>
<th valign="top" align="center">95&#x0025; CI</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left"><bold>Child contact characteristics</bold></td>
<td align="left">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">Sex</td>
<td align="left">Female</td>
<td align="center">1.00</td>
<td align="center">-</td>
<td align="center">1.00</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Male</td>
<td align="center">0.89</td>
<td align="center">0.43&#x2013;1.86</td>
<td align="center">0.86</td>
<td align="center">0.36&#x2013;2.06</td>
</tr>
<tr>
<td align="left">Age in years</td>
<td align="left">-</td>
<td align="center">0.91</td>
<td align="center">0.69&#x2013;1.20</td>
<td align="center">0.89</td>
<td align="center">0.63&#x2013;1.26</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">Relationship with household head</td>
<td align="left">Other</td>
<td align="center">1.00</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Child</td>
<td align="center">1.69</td>
<td align="center">0.72&#x2013;3.97</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left"><bold>Index case characteristics</bold></td>
<td align="left">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">TB type</td>
<td align="left">Smear-negative TB</td>
<td align="center">1.00</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Smear-positive TB</td>
<td align="center">0.86</td>
<td align="center">0.39&#x2013;1.88</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left" rowspan="2">HIV status of the index case</td>
<td align="left">HIV-negative</td>
<td align="center">1.00</td>
<td align="center">-</td>
<td align="center">1.00</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">HIV-positive</td>
<td align="center">0.49</td>
<td align="center">0.23&#x2013;1.04</td>
<td align="center">0.39</td>
<td align="center">0.16&#x2013;0.94<xref ref-type="table-fn" rid="TFN0005">*</xref></td>
</tr>
<tr>
<td align="left"><bold>Household characteristics</bold></td>
<td align="left">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">Wealth status</td>
<td align="left">Low</td>
<td align="center">1.00</td>
<td align="center">-</td>
<td align="center">1.00</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Medium</td>
<td align="center">1.82</td>
<td align="center">0.66&#x2013;5.00</td>
<td align="center">1.11</td>
<td align="center">0.31&#x2013;3.93</td>
</tr>
<tr>
<td align="left">High</td>
<td align="center">4.18</td>
<td align="center">1.70&#x2013;10.25<xref ref-type="table-fn" rid="TFN0005">*</xref></td>
<td align="center">3.42</td>
<td align="center">1.19&#x2013;9.88<xref ref-type="table-fn" rid="TFN0005">*</xref></td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">Household head&#x2019;s employment status</td>
<td align="left">Unemployed</td>
<td align="center">1.00</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Employed</td>
<td align="center">1.47</td>
<td align="center">0.64&#x2013;3.33</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">Household head&#x2019;s education level</td>
<td align="left">No school and/or primary</td>
<td align="center">1.00</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Secondary and/or higher</td>
<td align="center">1.57</td>
<td align="center">0.75&#x2013;3.28</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Number of &#x003C; 5 children in the household</td>
<td align="left">-</td>
<td align="center">0.64</td>
<td align="center">0.39&#x2013;1.07</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Household health-seeking decision</td>
<td align="left">Other guardians</td>
<td align="center">1.00</td>
<td align="center">-</td>
<td align="center">1.00</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Maker</td>
<td align="left">Parents</td>
<td align="center">2.58</td>
<td align="center">1.12&#x2013;5.95<xref ref-type="table-fn" rid="TFN0005">*</xref></td>
<td align="center">3.17</td>
<td align="center">1.19&#x2013;8.42<xref ref-type="table-fn" rid="TFN0005">*</xref></td>
</tr>
<tr>
<td align="left">Number of people living in the household</td>
<td align="left">-</td>
<td align="center">0.81</td>
<td align="center">0.69&#x2013;0.96<xref ref-type="table-fn" rid="TFN0005">*</xref></td>
<td align="center">0.87</td>
<td align="center">0.71&#x2013;1.06</td>
</tr>
<tr>
<td align="left"><bold>Health access characteristics</bold></td>
<td align="left">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">Distance to health facility (km)</td>
<td align="left">5 km or less</td>
<td align="center">1.00</td>
<td align="center">-</td>
<td align="center">1.00</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">More than 5 km</td>
<td align="center">0.30</td>
<td align="center">0.10&#x2013;0.88<xref ref-type="table-fn" rid="TFN0005">*</xref></td>
<td align="center">0.25</td>
<td align="center">0.07&#x2013;0.89<xref ref-type="table-fn" rid="TFN0005">*</xref></td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">Type of contact tracing</td>
<td align="left">Routine contact tracing</td>
<td align="center">1.00</td>
<td align="center">-</td>
<td align="center">1.00</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Patient-conducted tracing</td>
<td align="center">2.41</td>
<td align="center">1.14&#x2013;5.11<xref ref-type="table-fn" rid="TFN0005">*</xref></td>
<td align="center">3.13</td>
<td align="center">1.25&#x2013;7.84<xref ref-type="table-fn" rid="TFN0005">*</xref></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>Note: The number of children was 115 from 82 households. In the model, adjusting for clustering household or index case variables was non-significant, for example, index HIV status, wealth status, and household health-seeking decision maker. The variables significant after adjusting for clustering were facility distance &#x003E; 5 km, aOR: 0.25 (95&#x0025; CI: 0.07&#x2013;0.90) and contact tracing method by patient-delivered tracing, aOR 3.12 (1.17&#x2013;8.34).</p></fn>
<fn><p>OR, odds ratio; HIV, human immunodeficiency virus; TB, tuberculosis.</p></fn>
<fn id="TFN0005"><label>*</label><p>, <italic>p</italic>-value &#x003C; 0.05.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Distance to a health facility was also important. The odds of completing IPT among child contacts whose distance to the health facility was more than 5 km were 0.30 times the odds of completing IPT among child contacts whose distance to the health facility was &#x003C; 5 km (OR = 0.30, 95&#x0025; CI: 0.10&#x2013;0.88, <italic>p</italic> = 0.05). For the type of contact tracing, the odds of completing IPT among child contacts who were identified through patient-conducted tracing were 2.41 times the odds of completing IPT among child contacts who were identified through routine contact tracing (OR = 2.41, 95&#x0025; CI: 1.14&#x2013;5.11, <italic>p</italic> = 0.02).</p>
<p>On multivariable analysis, wealth status was significantly associated with IPT completion. Higher wealth status was significantly associated with higher completion of IPT among children, in whom the adjusted OR (aOR) for IPT completion was 3.42 (95&#x0025; CI: 1.19&#x2013;9.88, <italic>p</italic> = 0.02) for children coming from households of high wealth status, compared to those coming from the lowest wealth status. A significant association was noted after multivariate analysis between the HIV status of the child contacts&#x2019; index case and the completion of IPT; child contacts with HIV-positive index cases had significantly lower odds of IPT completion, with aOR = 0.39 (95&#x0025; CI: 0.16&#x2013;0.94, <italic>p</italic> = 0.02). Household health-seeking decision maker was still significantly associated with completion of IPT, with aOR = 3.17 (95&#x0025; CI: 1.19&#x2013;8.42, <italic>p</italic> = 0.03) for child contacts whose parents were the household health-seeking decision maker, compared to child contacts who had other guardians as the household healthcare decision maker.</p>
<p>After the multivariable analysis, the number of people living in the household was not significantly associated with completion of IPT, with aOR = 0.87 (95&#x0025; CI: 0.71&#x2013;1.06, <italic>p</italic> = 0.61) for each unit increase in the number of people living in the household. The distance to a health facility was also still significantly associated with IPT completion, with aOR = 0.25 (95&#x0025; CI: 0.07&#x2013;0.89, <italic>p</italic> = 0.03) for child contacts living at a distance of more than 5 km, compared to those at a distance of less than 5 km. Similarly, the type of contact tracing was still significantly associated with the completion of IPT, with aOR of 3.13 (95&#x0025; CI: 1.25&#x2013;7.84, <italic>p</italic> = 0.01) for child contacts who were identified through patient-conducted tracing, compared to child contacts who were identified through routine contact tracing.</p>
</sec>
</sec>
<sec id="s0013">
<title>Discussion</title>
<p>This study investigated the factors associated with the completion of 6 months of IPT among children under 5 years, exposed to TB patients in Blantyre, Malawi. This study found that a longer distance to the health facility (&#x003E; 5 km) was significantly associated with lower completion of IPT. This observation is coherent with other previous studies that have also found a significant association between the distance to the health facility and completion of IPT and have highlighted the influence of healthcare accessibility on treatment adherence.<sup><xref ref-type="bibr" rid="CIT0016">16</xref>,<xref ref-type="bibr" rid="CIT0017">17</xref></sup> Distance to the health facility also relates to transportation barriers, as health facilities that are far pose a major hindrance to completion of IPT.<sup><xref ref-type="bibr" rid="CIT0017">17</xref></sup> Lack of reliable transportation options, especially in rural areas, can hinder regular visits to the health facility, which may lead to missed doses of IPT.<sup><xref ref-type="bibr" rid="CIT0017">17</xref></sup></p>
<p>This study found a significantly higher rate of completion of IPT among child contacts who had their parents as the household&#x2019;s healthcare-seeking decision maker as opposed to other guardians. This finding highlights the importance of understanding the role of the decision maker in the utilisation of healthcare services in the household and treatment adherence.<sup><xref ref-type="bibr" rid="CIT0003">3</xref></sup> This study finding aligns with a previous study that highlighted how the decision-making authority in a household significantly influences health-seeking behaviours and treatment completion.<sup><xref ref-type="bibr" rid="CIT0023">23</xref></sup> Health-seeking behaviour for TB services is even better when parents have better knowledge about TB. It is important to note that the household health-seeking decision maker&#x2019;s knowledge about TB and the importance of IPT may influence and motivate them to seek healthcare for the child contacts and ensure that they complete IPT.<sup><xref ref-type="bibr" rid="CIT0023">23</xref></sup></p>
<p>This study found that child contacts whose index case was HIV-positive were less likely to complete IPT, compared to child contacts whose index cases were HIV-negative.<sup><xref ref-type="bibr" rid="CIT0003">3</xref></sup> This finding replicates the finding of a study conducted in Rwanda, which also found the same result.<sup><xref ref-type="bibr" rid="CIT0024">24</xref></sup> This result relates to the fact that often, HIV-positive people have to cope with social stigma, which affects their health-seeking behaviour.<sup><xref ref-type="bibr" rid="CIT0024">24</xref></sup></p>
<p>Household wealth status is important in determining the access to health services of the people in that household. In this study, higher wealth status was associated with higher IPT completion. This study finding is in alignment with an analytical cross-sectional study that found a significant association between household wealth status and completion of IPT.<sup><xref ref-type="bibr" rid="CIT0016">16</xref></sup> However, a mixed-method study conducted in Rwanda found no significant association between wealth status and completion of IPT.<sup><xref ref-type="bibr" rid="CIT0009">9</xref></sup> The different study designs used in the different studies could be a reason for the contradictory findings. In addition, the measurement and definition of wealth status across studies may have led to the variations in the findings.<sup><xref ref-type="bibr" rid="CIT0009">9</xref>,<xref ref-type="bibr" rid="CIT0016">16</xref></sup></p>
<p>This study found that the type of contact tracing was significantly associated with the completion of IPT among child contacts. That is to say, children from households in which the index TB patients and/or guardians were trained to conduct household screening and encourage IPT initiation (intervention of primary study) had a higher rate of completion compared to the standard of care (routine contact tracing).<sup><xref ref-type="bibr" rid="CIT0003">3</xref></sup> This finding is in accordance with the findings of an intervention study, which also found a significant association between the type of contact tracing and completion of IPT.<sup><xref ref-type="bibr" rid="CIT0010">10</xref></sup> Oftentimes, interventions to improve contact tracing improve IPT completion rates. Hence, interventions to improve contact tracing provide opportunities to mitigate the risk of TB among child contacts.<sup><xref ref-type="bibr" rid="CIT0010">10</xref>,<xref ref-type="bibr" rid="CIT0022">22</xref>,<xref ref-type="bibr" rid="CIT0025">25</xref></sup> The findings of this study highlight and emphasise the importance and the role of targeted efforts in actively identifying and engaging child contacts, which may enhance their access to IPT and improve treatment adherence and completion.</p>
<p>This study found that sociodemographic characteristics of the child contacts, such as their age and sex, were not significantly associated with the completion of IPT. Similar to this finding, three studies conducted in Nigeria, Guinea-Bissau and Ethiopia also found no significant association between the age and sex of the child contact and the completion of IPT,<sup><xref ref-type="bibr" rid="CIT0012">12</xref>,<xref ref-type="bibr" rid="CIT0026">26</xref>,<xref ref-type="bibr" rid="CIT0027">27</xref></sup> meaning that the sex and age of the child contact did not influence the completion of IPT. In addition, sex and age of the child contacts alone were not strong predictors and/or significant determinants of IPT completion, suggesting that there may be other factors that may play a more significant role in predicting IPT completion.<sup><xref ref-type="bibr" rid="CIT0027">27</xref></sup></p>
<p>The associations observed in this study may be explained by several plausible mechanisms. Shorter distances to health facilities may be linked to lower transport costs and less travel time, thereby contributing to adherence to health facility visits and IPT completion.<sup><xref ref-type="bibr" rid="CIT0017">17</xref></sup> Completion was higher when the primary healthcare decision maker was the parent. This result may reflect the health literacy of the parents and the authority they have in their household and their commitment to ensuring that their children complete IPT.<sup><xref ref-type="bibr" rid="CIT0023">23</xref></sup> High wealth status may ease financial barriers such as transport costs to the health facility and consistent adherence to health facility visits.<sup><xref ref-type="bibr" rid="CIT0016">16</xref></sup> The use of patient-conducted contact tracing brought TB screening to the household, which reduced health access barriers and promoted easy access to IPT adherence support.<sup><xref ref-type="bibr" rid="CIT0010">10</xref></sup> Lower IPT completion among child contacts whose index case was HIV-positive may be linked to the stigma associated with HIV status and competing demands related to frequent health facility visits for HIV care.<sup><xref ref-type="bibr" rid="CIT0024">24</xref></sup> These pathways are plausible explanations but were not directly measured in this study.</p>
<p>The primary study was conducted from 2014 to 2015, when the main TPT option used in Malawi was IPT. Since then, shorter regimens such as 3HP and 1HP have been introduced and are recommended; however, the factors affecting IPT completion such as distance to health facility, wealth status, healthcare decision maker and type of contact tracing that have been identified in this study, remain relevant, and they still inform access and adherence barriers even for the shorter regimens that have been introduced.</p>
<sec id="s20014">
<title>Limitations</title>
<p>Although this study provides valuable insights into factors associated with the completion of IPT, the study had some limitations. The primary study had information on uptake and completion of IPT available, but information on actual drug adherence (such as pill count) was not available, which may have resulted in an overestimation of the number of participants who received an effective course of IPT and completed the whole course of IPT. Literature has also found that other relevant factors associated with completion of IPT, such as duration of IPT, presence of side effects, pill burden, pill size, pill taste, health factors (drug stock outs) and direct observed therapy; however, these were not included in this study, because the dataset did not have the variables. In addition, this study used a small sample size, which may have increased the risk of model overfitting. We did not account for household clustering in the model, which could have introduced bias if outcomes were correlated among children from the same household. There is potential for residual confounding given the observational nature of the data for some variables, such as distance to the health facility (if self-reported) and the healthcare-seeking decision maker, which may be subject to measurement error. Furthermore, the use of a complete case analysis to handle missing data may have introduced bias.</p>
</sec>
<sec id="s20015">
<title>Recommendations</title>
<p>Our findings suggest that IPT completion among child contacts is shaped by both health facility access and household factors. Distance to the clinic highlights the need to strengthen peripheral delivery or provide transport support. Especially in rural areas, this can be achieved through community health posts, mobile clinics and outreach clinics. We recommend the need for counselling, awareness, family-centred engagement and/or support and health education for guardians other than parents who make healthcare decisions in the households. This will assist in ensuring that the guardians are empowered and are fully informed about IPT and the importance of IPT completion, thus facilitating the care for the child contacts. Closer integration of IPT with HIV services and offering of targeted adherence support may help to mitigate the challenge of stigma and balance competing health demands when the index case is HIV-positive, thereby improving IPT completion. Supporting patient contact tracing and exploring support targeted for low-wealth status households could also improve IPT uptake and completion. Future studies should investigate other factors that may affect the completion of IPT, for instance, how household dynamics and different community-based delivery models affect IPT completion. This effort will guide more effective policies and practices.</p>
</sec>
</sec>
<sec id="s0016">
<title>Conclusion</title>
<p>In conclusion, this research investigated the factors associated with the completion of IPT among child contacts. Isoniazid preventive therapy is one of the effective ways of preventing TB among child contacts; the effectiveness of IPT greatly depends on completion. Therefore, it is important to understand the factors that affect the completion of IPT among child contacts. This study has found that completion of IPT is suboptimal, which needs to be improved. The findings of this study highlighted several factors that are associated with the completion of IPT: HIV status of the index case, wealth status, household healthcare decision maker, distance to the health facility and the type of contact tracing.</p>
<p>The findings of this study demonstrate the contribution of implementation research to health programmes. In addition, this study provides valuable insights into the factors that affect the completion of IPT. By addressing the factors identified, completion of IPT can be improved, thereby preventing TB among children, which is in line with the WHO End TB 2030 strategy. Therefore, there is a need to find approaches that address and enhance IPT completion.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgements</title>
<p>The authors would like to acknowledge that this article is based on research previously presented in an abstract form at the 8th South African Tuberculosis Conference, held in Durban, South Africa on 04 June 2024 to 07 June 2024. The abstract has since been developed into a full article, which has been expanded and revised for journal publication. This re-publication is done with permission from the conference organisers.</p>
<p>The authors would like to acknowledge that the research presented in this article formed part of Glory T. Mzama&#x2019;s postgraduate studies and was originally conducted as part of their Master&#x2019;s thesis titled &#x2018;Factors associated with the completion of 6 months of isoniazid preventive therapy among under-five children exposed to tuberculosis patients in Blantyre, Malawi&#x2019;, submitted to the Division of Epidemiology and Biostatistics, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa in 2023, under the supervision of Prof. Latifat Ibisomi and Dr Kruger Kaswaswa. The thesis was submitted in partial fulfilment of the requirements for the master&#x2019;s degree. Portions of the thesis have been revised, updated and adapted for publication as a journal article. The original thesis is publicly available at: <ext-link ext-link-type="uri" xlink:href="https://wiredspace.wits.ac.za/">https://wiredspace.wits.ac.za/</ext-link>.</p>
<sec id="s20017" sec-type="COI-statement">
<title>Competing interests</title>
<p>The authors reported that they received funding from the Division of Epidemiology and Biostatistics, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg and the Special Programme for Research and Training in Tropical Diseases (TDR), the United Nations International Children&#x2019;s Emergency Fund (UNICEF)/United Nations Development Programme (UNDP)/World Bank/WHO Special Programme for Research and Training in Tropical Diseases hosted at the World Health Organization in Geneva, Switzerland which may be affected by the research reported in the enclosed publication. The authors have disclosed those interests fully and have implemented an approved plan for managing any potential conflicts arising from their involvement. The terms of these funding arrangements have been reviewed and approved by the affiliated university in accordance with its policy on objectivity in research.</p>
</sec>
<sec id="s20018">
<title>CRediT authorship contribution</title>
<p>Glory T. Mzama: Conceptualisation, Data curation, Formal analysis, Investigation, Methodology, Resources, Visualisation, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. Kruger Kaswaswa: Conceptualisation, Data curation, Resources, Supervision, Visualisation, Writing &#x2013; review &#x0026; editing. Tobias Chirwa: Conceptualisation, Funding acquisition, Project administration, Resources, Software, Visualisation. Juliana Kagura: Conceptualisation, Funding acquisition, Project administration, Resources, Software, Supervision, Visualisation. Latifat Ibisomi: Conceptualisation, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Visualisation, Writing &#x2013; review &#x0026; editing. All authors reviewed the article, contributed to the discussion of results, approved the final version for submission and publication, and take responsibility for the integrity of its findings.</p>
</sec>
<sec id="s20019" sec-type="data-availability">
<title>Data availability</title>
<p>All data for this article are available upon request from the corresponding author, Glory T. Mzama.</p>
</sec>
<sec id="s20020">
<title>Disclaimer</title>
<p>The views and opinions expressed in this article are those of the authors and are the product of professional research. It does not necessarily reflect the official policy or position of any affiliated institution, funder, agency or that of the publisher. The authors are responsible for this article&#x2019;s results, findings and content.</p>
</sec>
</ack>
<ref-list id="references">
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<fn><p><bold>How to cite this article:</bold> Mzama GT, Kaswaswa K, Chirwa T, Kagura J, Ibisomi L. Factors associated with completion of 6 months of isoniazid preventive therapy among under-five children exposed to tuberculosis patients in Blantyre, Malawi. J Public Health Africa. 2026;17(1), a1528. <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.4102/jphia.v17i1.1528">https://doi.org/10.4102/jphia.v17i1.1528</ext-link></p></fn>
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