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<article xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" dtd-version="1.1" article-type="research-article" xml:lang="en">
<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">EAHRJ</journal-id>
<journal-id journal-id-type="publisher-id">eahrj</journal-id>
<journal-title-group>
<journal-title>The East African Health Research Journal</journal-title>
<abbrev-journal-title abbrev-type="full">The East African Health Research Journal</abbrev-journal-title>
</journal-title-group>
<issn pub-type="ppub">2520-5277</issn>
<issn pub-type="epub">2520-5285</issn>
<publisher>
<publisher-name>The East African Health Research Commission</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.24248/eahrj.v6i2.692</article-id>
<article-id pub-id-type="publisher-id">eahrj.v6i2.692</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Article</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Factors Associated with Uptake of Intermittent Preventive Treatment for Malaria During Pregnancy. Analysis of Data from the Tanzania 2015-2016 Demographic Health Survey and Malaria Indicator Survey</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes"><name><surname>Masoi</surname><given-names>Theresia J.</given-names></name><xref ref-type="aff" rid="aff1"><sup>a</sup></xref><xref ref-type="corresp" rid="cor1">&#x002A;</xref></contrib>
<contrib contrib-type="author"><name><surname>Moshi</surname><given-names>Fabiola V.</given-names></name><xref ref-type="aff" rid="aff2"><sup>b</sup></xref></contrib>
<contrib contrib-type="author"><name><surname>Tungaraza</surname><given-names>Maximilian B.</given-names></name><xref ref-type="aff" rid="aff1"><sup>a</sup></xref></contrib>
<aff id="aff1"><label>a</label>Department of Clinical Nursing, Dodoma, Tanzania</aff>
<aff id="aff2"><label>b</label>Department of Nursing education and Management, Dodoma, Tanzania</aff>
</contrib-group>
<author-notes>
<corresp id="cor1">Correspondence to Theresia J. Masoi (<email>jtheresia2008@yahoo.com</email>)</corresp>
</author-notes>
<pub-date pub-type="ppub">
<year>2022</year>
</pub-date>
<pub-date pub-type="epub">
<day>30</day>
<month>11</month>
<year>2022</year>
</pub-date>
<volume>6</volume>
<issue>2</issue>
<fpage>134</fpage>
<lpage>140</lpage>
<history>
<date date-type="received">
<day>11</day>
<month>4</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>25</day>
<month>11</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>&#x00A9; The East African Health Research Commission 2022</copyright-statement>
<copyright-year>2022</copyright-year>
<license license-type="open-access"><license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly cited. To view a copy of the license, visit <ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="http://creativecommons.org/licenses/by/4.0/">http://creativecommons.org/licenses/by/4.0/</ext-link>.</license-p></license>
</permissions>
<abstract>
<sec>
<title>Background:</title>
<p>Malaria is a life-threatening disease caused by parasites that are transmitted to people through bites of infected female Anopheles mosquitoes. Africa is the home to over 90&#x0025; of malaria burden when compared to other regions of the world. The region is estimated to have a dominance of 94&#x0025; of maternal deaths occurring in the world. The purpose of this study was to identify factors associated with the uptake of IPTp-SP among pregnant women in Tanzania. Method: The study used data from the 2015-16 Tanzania Demographic and Health Survey and Malaria Indicators Survey (2015-16 TDHS-MIS). A total of 6,885 women of active reproductive age from 15 to 49 were included in the analysis. Both univariate and multiple regression analyses were performed to determine factors associated with uptake of IPTp-SP during pregnancy in Tanzania.</p>
</sec>
<sec>
<title>Results:</title>
<p>A total of 4764(68.6&#x0025;) of pregnant women took at least one dose of IPTp-SP during Antenatal Care (ANC) visits. After adjusting for confounders, factors which were associated with uptake of IPTp-SP were; early antenatal booking, (AOR&#x003D;1.495 <italic>p&#x003C;.001</italic>); age group of pregnant woman [20 to 34 years (AOR&#x003D;1.446, <italic>p&#x003D;.001</italic>), more than 34 years (AOR&#x003D;1.648, p&#x003C;.001)]; wealth index [middle (AOR&#x003D;1.418, p&#x003C;.001), rich (AOR&#x003D;1.589, <italic>p&#x003C;.001</italic>)], education level [primary education (AOR&#x003D;1.457, p&#x003C;.001), secondary education AOR&#x003D;1.653, p&#x003C;.001]; parity [para 2 to 4 (AOR&#x003D;1.213, <italic>p&#x003D;.014</italic>), para 5 and above (AOR&#x003D;1.226, <italic>p&#x003D;.043</italic>)] and zone [Mainland rural (AOR&#x003D;0.647, <italic>p&#x003D;.019</italic>), Unguja (AOR&#x003D;0.172, <italic>p&#x003C;.001</italic>) and Pemba (AOR&#x003D;0.310, <italic>p&#x003C;0.001</italic>)].</p>
</sec>
<sec>
<title>Conclusion:</title>
<p>Factors associated with uptake of IPTp-SP during pregnancy were; timing for ANC booking, age of pregnant woman, parity, level of education, and place of residence.</p>
</sec>
</abstract>
<funding-group>
<funding-statement><bold>Funding:</bold> The study did not recieve any funding.</funding-statement>
</funding-group>
</article-meta>
</front>
<body>
<sec>
<title>BACKGROUND</title>
<p>Malaria is a life-threatening disease caused by parasites that are transmitted to people through bites of infected female Anopheles mosquitoes.<sup><xref ref-type="bibr" rid="B1">1</xref></sup> Malaria is a preventable and curable disease.<sup><xref ref-type="bibr" rid="B2">2</xref></sup> Africa is the home to over 90&#x0025; of malaria burden when compared to other regions of the world.<sup><xref ref-type="bibr" rid="B2">2</xref></sup> The region is estimated to have a dominance of 94&#x0025; of maternal deaths occurring in the World.<sup><xref ref-type="bibr" rid="B4">4</xref></sup></p>
<p>Malaria is one of the indirect causes of maternal deaths, accounting for about 15&#x0025; of all reported maternal deaths in the world. In 2015, malaria was considered the third cause of deaths among women of child bearing age in the world. About 24 million pregnant women in the sub-Saharan Africa are affected with malaria every year. In endemic areas, events of maternal deaths due to malaria accounts for about 25&#x0025;.<sup><xref ref-type="bibr" rid="B6">6</xref></sup> A study that used District Health Information System (DHIS) data of 2014 and 2017 in Tanzania, reported malaria prevalence of 8.1&#x0025; and 6.7&#x0025; respectively, indicating an absolute difference of 1.4.&#x0025;<sup><xref ref-type="bibr" rid="B7">7</xref></sup></p>
<p>Primigravidae, adolescents, and pregnant women coinfected with Human Immunodeficiency Virus (HIV)/Acquired Immunodeficiency Syndrome (AIDS) are usually accompanied with adverse complication.<sup><xref ref-type="bibr" rid="B6">6</xref></sup> Commonly reported compactions of malaria in pregnancy include; placental malaria, maternal anaemia, abortions, premature labour, intrauterine growth retardation and low birth weight.<sup><xref ref-type="bibr" rid="B8">8</xref></sup> Asymptomatic malaria is also common among primigravidae especially among those from malaria-endemic areas.<sup><xref ref-type="bibr" rid="B9">9</xref></sup> Maternal decline of immunity pronounced during the first and second pregnancies predispose them to high vulnerability to malaria<sup><xref ref-type="bibr" rid="B10">10</xref></sup>.</p>
<p>The World Health Organization (WHO) and the Global Malaria Community targets a malaria free world by 2030.<sup><xref ref-type="bibr" rid="B2">2</xref></sup> Nurses should routinely administer Intermittent Preventive Treatment of Malaria in Pregnancy Sulfadoxine-Pyrimethamine (IPTp-SP) to all pregnant women attending antenatal care services as one of the strategies to preventing malaria in pregnancy. Administration of IPTp-SP is based on the assumption that every pregnant woman living in malaria-endemic areas has malaria parasites in her blood or placenta, regardless of whether she is symptomatic or asymptomatic.<sup><xref ref-type="bibr" rid="B10">10</xref></sup> The appropriate time to administer the first IPTp-SP dose is during the early second trimester. Subsequent doses are scheduled at 4 weeks apart while the last dose can be administered during late pregnancy, i.e. after 36 weeks of gestation, up to the time of delivery. Frontline antenatal care providers should ensure that pregnant women receive not less than 3 doses of IPTp-SP before delivery.<sup><xref ref-type="bibr" rid="B11">11</xref></sup></p>
<p>According to Tanzania Demographic and Health Survey and Malaria Indicator Survey (TDHS-MIS) (2015/2016), 71&#x0025; of pregnant women who attended antenatal care services in Tanzania received IPTp-SP.<sup><xref ref-type="bibr" rid="B12">12</xref></sup> The <italic>2019 World Malaria Report</italic> indicated that Tanzania and Burkina Faso had over two-third of their pregnant women receive 3 doses of Intermittent Preventive Treatment of Malaria in Pregnancy (IPTp3) in 2018. The report also showed low coverage (31&#x0025;) of IPTp-SP across sub-Saharan Africa.<sup><xref ref-type="bibr" rid="B13">13</xref></sup></p>
<p>Several factors have been raised as enablers and/or barriers to IPTp-SP uptake. A study conducted in Korogwe District, Tanzania showed that nurses do not provide IPTp-SP as Direct Observed Therapy (DOT) due to reasons such as shortage of clean drinking water; therefore, it is not clear whether the provided anti-malaria drugs are taken as intended<sup><xref ref-type="bibr" rid="B14">14</xref></sup>. Having knowledge on when to start and stop IPTp-SP can also be a challenge to IPTp-SP uptake.<sup><xref ref-type="bibr" rid="B15">15</xref>,<xref ref-type="bibr" rid="B16">16</xref></sup> Studies have also revealed that factors such as education level of up to college level, early booking and having atleast 4 ANC visits contribute to adequate uptake.<sup><xref ref-type="bibr" rid="B16">16</xref>,<xref ref-type="bibr" rid="B17">17</xref></sup> Moreover, having parity of at least 4, being single and self-employment have been reported to impede the uptake.<sup><xref ref-type="bibr" rid="B18">18</xref></sup> The nurse&#x0027;s limited knowledge on IPTp-SP protocol was a barrier to adequate uptake of the service as it was reported in Ghana.<sup><xref ref-type="bibr" rid="B19">19</xref></sup> Similarly, IPTp-SP uptake can be determined by the age of the woman. Several studies from elsewhere showed that as the woman&#x0027;s age increases, the likelihood to IPTp-SP uptake also increases.<sup><xref ref-type="bibr" rid="B17">17</xref>,<xref ref-type="bibr" rid="B20">20</xref>,<xref ref-type="bibr" rid="B21">21</xref></sup>.</p>
<p>The Tanzanian government has invested in ensuring that all pregnant women access IPTp-SP services during their visit for Antenatal Care Services. The government not only expanded health facilities to each village but also deployed adequate number of nurse/midwives to ensure pregnant women receive skilled services. However, according to TDHS-MIS (2015/2016), 24&#x0025; and 49&#x0025; of pregnant women book ANC services late and had inadequate ANC visits respectively.<sup><xref ref-type="bibr" rid="B12">12</xref></sup> This can impede the pregnant women to receive IPTp-SP timely. Therefore, this study aimed at analysing factors associated with uptake of intermittent preventive treatment for malaria dose at least once during pregnancy using data from TDHS-MIS.</p>
</sec>
<sec sec-type="methods">
<title>METHOD</title>
<sec>
<title>Study Area and Period</title>
<p>The study was conducted in the United Republic of Tanzania from August 22, 2015, through February 14, 2016. Tanzania is among the countries found in East Africa. It is the largest country within East Africa and it covers 940,000 square kilometres with 60,000 square kilometres of inland water. The country lies south of the equator and shares borders with 8 countries: Kenya and Uganda to the North; Rwanda, Burundi, the Democratic Republic of Congo, and Zambia to the West; and Malawi and Mozambique to the South.</p>
</sec>
<sec>
<title>Study Design</title>
<p>This was a national-based cross-sectional study utilising the 2015/2016 Tanzania Demographic and Health Survey and Malaria Indicator Survey (TDHS-MIS) dataset.</p>
</sec>
<sec>
<title>Study Population</title>
<p>All women of reproductive age (15 to 49 years) were eligible to participate in the study. The study used Individual file recode (TZIR7BFL) with a total of 13,266 women who responded to the survey (97&#x0025; response rate). The study included only women who responded to the question on if they have ever taken anti-malaria medication during pregnancy. Those who were not able to recall the timing and those who did not respond to the question were excluded from the analysis. A total of 6,885 women who had given birth within 5 years preceding the survey were included in the study.</p>
<p>Two stages of sampling were used to obtain sample data for urban and rural areas in Tanzania Mainland and Zanzibar. In the first stage, a total of 608 clusters were selected and in the second stage, a systematic selection of households was adopted. A total of 22 households were systematically selected from each cluster, yielding a representative probability sample of 13,376 households for the 2015-16 TDHS-MIS. To enhance representativeness, Tanzania was divided into 9 geographic zones. Regions were grouped into zones so as to reduce sampling error by way of increasing the number of people in the denominator. The zones were; western zone (Tabora and Kigoma regions), Northern zone (Kilimanjaro, Tanga, and Arusha), Central zone (Dodoma, Singida and Manyara), Southern Highland zone (Iringa, Njombe, and Iringa), Southern zone (Lindi and Mtwara), South West Highland zone (Mbeya Rukwa and Katavi), Lake zone (Kagera, Mwanza, Geita, Mara, Simiyu, and Shinyanga), Eastern zone (Dar es Salaam, Pwani, and Morogoro) and Zanzibar zone (Kaskazini Unguja, Kusini Unguja, Mjini Magharibi, Kaskazini Pemba and Kusini Pemba).</p>
</sec>
<sec>
<title>Study Variables</title>
<p>Literature review was done and a conceptual framework was developed to guide the data review process. The conceptual framework defined the independent variables (socio-demographic and obstetric characteristics of a woman) and the dependent variables (having ever taken anti-malaria drugs during pregnancy), coded 1 for those who have ever taken anti-malaria drugs during pregnancy and 0 for those who had never.</p>
</sec>
<sec>
<title>Data Collection Tools</title>
<p>The 2015-16 TDHS-MIS used household and individual questionnaires. These questionnaires were based on the Demographic and Health Surveys (DHS) standard AIDS Indicator Survey and Malaria Indicator Survey questionnaires standards. They were adapted and modified to reflect the Tanzanian population. They were translated into Kiswahili, Tanzania&#x0027;s National language.</p>
<p>The data presented in this study is from the individual questionnaires.</p>
</sec>
<sec>
<title>Data Analysis</title>
<p>Data was analysed using IBM SPSS version 20. Women who took anti malaria drugs at least once were coded as 1 and those who never took anti malaria drugs during pregnancy were coded 0. Data analysis started by describing all study variables using frequencies and percentages. The association between dependent and independent variables was assessed using the chi-squared test. Univariate, binary and multivariable analysis was performed for descriptive and significant predictors of uptake of IPTp-SP. All analyses were based at a 5&#x0025; level of significance.</p>
</sec>
<sec>
<title>Ethics Approval and Consent to Participate</title>
<p>Data collection and the survey content and protocol were approved by Tanzania&#x0027;s National Institute for Medical Research (NIMR), the Zanzibar Medical Ethics and Research Committee (ZAMREC), the Institutional Review Board of ICF International, and the Centres for Disease Control and Prevention in Atlanta, USA. Participants provided verbal consents and the household interviews took place privately. For participants under the age of 18, written consent was requested from their parent or guardian.</p>
</sec>
</sec>
<sec sec-type="results">
<title>RESULTS</title>
<sec>
<title>Socio-demographic Characteristics</title>
<p>The study included 6,885 women of reproductive age who had given birth within 5 years preceding the survey. Majority of study respondents 5,113(73.8&#x0025;) resided in the rural setting of Tanzania, 4,557(65.8&#x0025;) were aged 20 to 34 years. 4,209(60.8&#x0025;) had primary education, and 5,650(86.1&#x0025;) were married (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
<table-wrap id="T1" position="float">
<label>TABLE 1:</label>
<caption><p>Socio-Demographic Characteristics of Respondents</p>
</caption>
<table frame="hsides">
<thead valign="bottom">
<tr>
<th align="left">Variables</th>
<th align="left">Frequency</th>
<th align="left">Percent (&#x0025;)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Place of residence</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Urban</td>
<td align="left">1811</td>
<td align="left">26.2</td>
</tr>
<tr>
<td align="left">&#x2003;Rural</td>
<td align="left">5113</td>
<td align="left">73.8</td>
</tr>
<tr>
<td align="left">Age group</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Less than 20 years</td>
<td align="left">541</td>
<td align="left">7.8</td>
</tr>
<tr>
<td align="left">&#x2003;20 to 34 years</td>
<td align="left">4557</td>
<td align="left">65.8</td>
</tr>
<tr>
<td align="left">&#x2003;More than 34 years</td>
<td align="left">1826</td>
<td align="left">26.4</td>
</tr>
<tr>
<td align="left">Educational level</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;No education</td>
<td align="left">1329</td>
<td align="left">19.2</td>
</tr>
<tr>
<td align="left">&#x2003;Primary education</td>
<td align="left">4209</td>
<td align="left">60.8</td>
</tr>
<tr>
<td align="left">&#x2003;Secondary</td>
<td align="left">1326</td>
<td align="left">19.2</td>
</tr>
<tr>
<td align="left">&#x2003;Higher</td>
<td align="left">60</td>
<td align="left">0.9</td>
</tr>
<tr>
<td align="left">Parity</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Para one</td>
<td align="left">1595</td>
<td align="left">23</td>
</tr>
<tr>
<td align="left">&#x2003;Para 2-4</td>
<td align="left">3154</td>
<td align="left">45.6</td>
</tr>
<tr>
<td align="left">&#x2003;Para 5&#x002B;</td>
<td align="left">2175</td>
<td align="left">31.4</td>
</tr>
<tr>
<td align="left">Wealth index</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Poor</td>
<td align="left">2734</td>
<td align="left">39.5</td>
</tr>
<tr>
<td align="left">&#x2003;Middle</td>
<td align="left">1363</td>
<td align="left">19.7</td>
</tr>
<tr>
<td align="left">&#x2003;Rich</td>
<td align="left">2827</td>
<td align="left">40.8</td>
</tr>
<tr>
<td align="left">Marital Status</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Never in union</td>
<td align="left">441</td>
<td align="left">6.4</td>
</tr>
<tr>
<td align="left">&#x2003;Married</td>
<td align="left">5650</td>
<td align="left">86.1</td>
</tr>
<tr>
<td align="left">&#x2003;Widow</td>
<td align="left">119</td>
<td align="left">1.7</td>
</tr>
<tr>
<td align="left">&#x2003;Separated</td>
<td align="left">714</td>
<td align="left">10.3</td>
</tr>
<tr>
<td align="left" colspan="2">Respondent currently working</td>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Not working</td>
<td align="left">1498</td>
<td align="left">21.6</td>
</tr>
<tr>
<td align="left">&#x2003;Working</td>
<td align="left">5426</td>
<td align="left">78.4</td>
</tr>
<tr>
<td align="left">Mainland/Zanzibar</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Mainland urban</td>
<td align="left">1618</td>
<td align="left">23.4</td>
</tr>
<tr>
<td align="left">&#x2003;Mainland rural</td>
<td align="left">4357</td>
<td align="left">62.9</td>
</tr>
<tr>
<td align="left">&#x2003;Unguja (Zanzibar Island)</td>
<td align="left">594</td>
<td align="left">8.6</td>
</tr>
<tr>
<td align="left">&#x2003;Pemba (Pemba Island)</td>
<td align="left">355</td>
<td align="left">5.1</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Uptake of anti-malaria at list once during pregnancy A total of 4,725(68.6&#x0025;) took anti malaria prophylaxis at least once during their pregnancy while a total of 2,160 (31.4&#x0025;) never took (<xref ref-type="fig" rid="F1">Figure 1</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1:</label>
<caption><p>Uptake of SP/Fansidar Atleast Once During Pregnancy</p>
</caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="https://eahrj.eahealth.org/eah/article/download/692/1447/1957"/>
</fig>
</sec>
<sec>
<title>The Relationship between Women&#x0027;s Characteristics and Uptake of Malaria Drugs for Intermittent Treatment of Malaria during Pregnancy</title>
<p>Variables which showed significant relationship were; place of residence (X<sup><xref ref-type="bibr" rid="B2">2</xref></sup>&#x003D;70.107 and <italic>p&#x003C;.001</italic>), age group (X<sup><xref ref-type="bibr" rid="B2">2</xref></sup>&#x003D;33.932 and <italic>p&#x003C;.001</italic>), education level (X<sup><xref ref-type="bibr" rid="B2">2</xref></sup>&#x003D;70.342 and p&#x003C;.001), parity (X<sup><xref ref-type="bibr" rid="B2">2</xref></sup>&#x003D;8.395 and <italic>p&#x003D;.015</italic>), timing for ANC visits (X<sup><xref ref-type="bibr" rid="B2">2</xref></sup>&#x003D;66.16 and <italic>p&#x003C;.001</italic>), Number of ANC visits (X<sup><xref ref-type="bibr" rid="B2">2</xref></sup>&#x003D;78.962 and <italic>p&#x003C;.001</italic>), wealth index (X<sup><xref ref-type="bibr" rid="B2">2</xref></sup>&#x003D;70.107 and <italic>p&#x003C;.001</italic>) and zones (X<sup><xref ref-type="bibr" rid="B2">2</xref></sup>&#x003D;330.254 and <italic>p&#x003C;.001</italic>) (<xref ref-type="table" rid="T2">Table 2</xref>).</p>
<table-wrap id="T2" position="float">
<label>TABLE 2:</label>
<caption><p>The Relationship between Women&#x0027;s Characteristics and uptake of Malaria drugs for Intermittent Treatment of Malaria during Pregnancy</p>
</caption>
<table frame="hsides">
<thead valign="bottom">
<tr>
<th align="left" rowspan="2">Variable</th>
<th align="left" colspan="2">Uptake of anti-malaria</th>
<th align="left" rowspan="2">X2</th>
<th align="left" rowspan="2">p-value</th>
</tr>
<tr>
<th align="left">Never n(&#x0025;)</th>
<th align="left">at least once n(&#x0025;)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Age categories of respondents</td>
<td align="left"/>
<td align="left"/>
<td align="left">33.932</td>
<td align="left">&#x003C;0.001</td>
</tr>
<tr>
<td align="left">&#x2003;15years-24years</td>
<td align="left">778 (35.9)</td>
<td align="left">1389 (64.1)</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;25years-29years</td>
<td align="left">476 (29.6)</td>
<td align="left">1133 (70.4)</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;30years-34years</td>
<td align="left">354 (27.3)</td>
<td align="left">945 (72.7)</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;35years-49years</td>
<td align="left">552 (30.5)</td>
<td align="left">1258 (69.5)</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">Type of place of residence</td>
<td align="left"/>
<td align="left"/>
<td align="left">128.4</td>
<td align="left">&#x003C;0.001</td>
</tr>
<tr>
<td align="left">&#x2003;Urban</td>
<td align="left">373 (20.7)</td>
<td align="left">1427 (79.3)</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Rural</td>
<td align="left">1787 (35.1)</td>
<td align="left">3298 (64.9)</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">Wealth Index</td>
<td align="left"/>
<td align="left"/>
<td align="left">70.107</td>
<td align="left">&#x003C;0.001</td>
</tr>
<tr>
<td align="left">&#x2003;Poor</td>
<td align="left">1007 (37)</td>
<td align="left">1716 (63)</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Middle</td>
<td align="left">405 (29.8)</td>
<td align="left">952 (70.2)</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Rich</td>
<td align="left">748 (26.7)</td>
<td align="left">2057 (73.3)</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">Marital Status</td>
<td align="left"/>
<td align="left"/>
<td align="left">6.586</td>
<td align="left">0.086</td>
</tr>
<tr>
<td align="left">&#x2003;Never in union</td>
<td align="left">118 (26.9)</td>
<td align="left">321 (73.1)</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Living with partner</td>
<td align="left">1799 (32)</td>
<td align="left">3824 (68)</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Widowed</td>
<td align="left">37 (31.1)</td>
<td align="left">82 (68.9)</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Divorced</td>
<td align="left">206 (29.3)</td>
<td align="left">498 (70.7)</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">ANC Visits</td>
<td align="left"/>
<td align="left"/>
<td align="left">78.962</td>
<td align="left">&#x003C;0.001</td>
</tr>
<tr>
<td align="left">&#x2003;Adequate</td>
<td align="left">916 (26.4)</td>
<td align="left">2549 (73.6)</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Inadequate</td>
<td align="left">1244 (36.4)</td>
<td align="left">2176 (63.6)</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">Parity of the respondent</td>
<td align="left"/>
<td align="left"/>
<td align="left">8.395</td>
<td align="left">0.015</td>
</tr>
<tr>
<td align="left">&#x2003;Para one</td>
<td align="left">524 (33)</td>
<td align="left">1064 (67)</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;2 to 4</td>
<td align="left">929 (29.6)</td>
<td align="left">2209 (70.4)</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Para 5&#x002B;</td>
<td align="left">707 (32.7)</td>
<td align="left">1452 (67.3)</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">Timing for ANC Booking</td>
<td align="left"/>
<td align="left"/>
<td align="left">66.16</td>
<td align="left">&#x003C;0.001</td>
</tr>
<tr>
<td align="left">&#x2003;Late booking</td>
<td align="left">1796 (33.9)</td>
<td align="left">3509 (66.1)</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Early booking</td>
<td align="left">364 (23)</td>
<td align="left">1216 (77)</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">Highest educational level</td>
<td align="left"/>
<td align="left"/>
<td align="left">70.342</td>
<td align="left">&#x003C;0.001</td>
</tr>
<tr>
<td align="left">&#x2003;No education</td>
<td align="left">537 (40.7)</td>
<td align="left">783 (59.3)</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Primary</td>
<td align="left">1195 (28.5)</td>
<td align="left">2998 (71.5)</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Secondary</td>
<td align="left">413 (31.5)</td>
<td align="left">899 (68.5)</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Higher</td>
<td align="left">15 (25)</td>
<td align="left">45 (75)</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">Mainland/Zanzibar</td>
<td align="left"/>
<td align="left"/>
<td align="left">330.254</td>
<td align="left">&#x003C;0.001</td>
</tr>
<tr>
<td align="left">&#x2003;Mainland urban</td>
<td align="left">279 (17.3)</td>
<td align="left">1333 (82.7)</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Mainland rural</td>
<td align="left">1404 (32.3)</td>
<td align="left">2937 (67.7)</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Unguja (Zanzibar Island)</td>
<td align="left">318 (55)</td>
<td align="left">260 (45)</td>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Pemba (Pemba Island)</td>
<td align="left">159 (44.9)</td>
<td align="left">195 (55.1)</td>
<td align="left"/>
<td align="left"/>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec>
<title>Factors Associated with Uptake of Malaria Drugs for Intermittent Treatment of Malaria during Pregnancy</title>
<p>After adjusted for confounders, factors which were booking, (AOR&#x003D;1.495 at 95&#x0025; CI&#x003D;1.306-1.712, <italic>p&#x003C;.001</italic>); age group of pregnant woman [20 - 34 years (AOR&#x003D;1.446 at 95&#x0025; CI&#x003D; 1.1690-1.787, <italic>p&#x003D;.001</italic>), above 34 years (AOR&#x003D;1.648 at 95&#x0025; CI&#x003D;1.270-2.137, <italic>p&#x003C;.001</italic>)] less than 20 years was a reference population; wealth index [middle (AOR&#x003D;1.418 at 95&#x0025; CI&#x003D;1.226-1.641, <italic>p&#x003C;.001</italic>), rich (AOR&#x003D;1.589 at 95&#x0025; CI&#x003D;1.352-1.866, <italic>p&#x003C;.001</italic>)] poor was a reference population, education level [primary education (AOR&#x003D;1.457 at 95&#x0025; CI&#x003D;1.271-1.670, <italic>p&#x003C;.001</italic>), secondary education AOR&#x003D;1.653 at 95&#x0025; CI&#x003D;1.354-1.866, <italic>p&#x003C;.001</italic>], no formal education was a reference population; parity [para 2 to 4 (AOR&#x003D;1.213 at 95&#x0025; CI&#x003D;1.04-1.414, <italic>p&#x003D;.014</italic>), para 5 and above (AOR&#x003D;1.226 at 95&#x0025; CI&#x003D;1.006-1.493, <italic>p&#x003D;0.043</italic>)], para one was a reference population and zone [Mainland rural (AOR&#x003D;0.647 at 95&#x0025; CI&#x003D;0.45-0.93, <italic>p&#x003D;0.019</italic>), Unguja (AOR&#x003D;0.172 at 95&#x0025; CI&#x003D;0.123-0.241, <italic>p&#x003C;.001</italic>) and Pemba (AOR&#x003D;0.310 at 95&#x0025; CI&#x003D;0.211-0.456, <italic>p&#x003C;.001</italic>)] (<xref ref-type="table" rid="T3">Table 3</xref>).</p>
<table-wrap id="T3" position="float">
<label>TABLE 3:</label>
<caption><p>Factors Associated with Uptake of Anti-Malarial Dose atleast Once During Pregnancy</p>
</caption>
<table frame="hsides">
<thead valign="bottom">
<tr>
<th align="left" rowspan="2">Variable</th>
<th align="left" rowspan="2">OR</th>
<th align="left" colspan="2">95&#x0025;CI</th>
<th align="left" rowspan="2">p-value</th>
<th align="left" rowspan="2">AOR</th>
<th align="left" colspan="2">95&#x0025;CI</th>
<th align="left" rowspan="2">p-value</th>
</tr>
<tr>
<th align="left">Lower</th>
<th align="left">Upper</th>
<th align="left">Lower</th>
<th align="left">Upper</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">ANC Booking</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Late booking</td>
<td align="left">1</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left">1</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Early booking</td>
<td align="left">1.702</td>
<td align="left">1.495</td>
<td align="left">1.939</td>
<td align="left">&#x003C;0.001</td>
<td align="left">1.495</td>
<td align="left">1.306</td>
<td align="left">1.712</td>
<td align="left">&#x003C;0.001</td>
</tr>
<tr>
<td align="left">Age groups</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Less than 20 years</td>
<td align="left">1</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left">1</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;20 to 34 years</td>
<td align="left">1.62</td>
<td align="left">1.35</td>
<td align="left">1.944</td>
<td align="left">&#x003C;0.001</td>
<td align="left">1.446</td>
<td align="left">1.169</td>
<td align="left">1.787</td>
<td align="left">&#x003C;0.001</td>
</tr>
<tr>
<td align="left">&#x2003;More than 34 years</td>
<td align="left">1.631</td>
<td align="left">1.338</td>
<td align="left">1.988</td>
<td align="left">&#x003C;0.001</td>
<td align="left">1.648</td>
<td align="left">1.27</td>
<td align="left">2.137</td>
<td align="left">&#x003C;0.001</td>
</tr>
<tr>
<td align="left">Place of residence</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Urban</td>
<td align="left">1</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left">1</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Rural</td>
<td align="left">0.483</td>
<td align="left">0.425</td>
<td align="left">0.548</td>
<td align="left">&#x003C;0.001</td>
<td align="left">0.956</td>
<td align="left">0.688</td>
<td align="left">1.328</td>
<td align="left">0.788</td>
</tr>
<tr>
<td align="left">Wealth index</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Poor</td>
<td align="left">1</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left">1</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Middle</td>
<td align="left">1.379</td>
<td align="left">1.199</td>
<td align="left">1.586</td>
<td align="left">&#x003C;0.001</td>
<td align="left">1.418</td>
<td align="left">1.226</td>
<td align="left">1.641</td>
<td align="left">&#x003C;0.001</td>
</tr>
<tr>
<td align="left">&#x2003;Rich</td>
<td align="left">1.621</td>
<td align="left">1.446</td>
<td align="left">1.817</td>
<td align="left">&#x003C;0.001</td>
<td align="left">1.589</td>
<td align="left">1.352</td>
<td align="left">1.866</td>
<td align="left">&#x003C;0.001</td>
</tr>
<tr>
<td align="left">Educational level</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;No education</td>
<td align="left">1</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left">1</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Primary education</td>
<td align="left">1.71</td>
<td align="left">1.504</td>
<td align="left">1.944</td>
<td align="left">&#x003C;0.001</td>
<td align="left">1.457</td>
<td align="left">1.271</td>
<td align="left">1.67</td>
<td align="left">&#x003C;0.001</td>
</tr>
<tr>
<td align="left">&#x2003;Secondary</td>
<td align="left">1.499</td>
<td align="left">1.278</td>
<td align="left">1.758</td>
<td align="left">&#x003C;0.001</td>
<td align="left">1.653</td>
<td align="left">1.354</td>
<td align="left">2.018</td>
<td align="left">&#x003C;0.001</td>
</tr>
<tr>
<td align="left">&#x2003;Higher</td>
<td align="left">2.034</td>
<td align="left">1.122</td>
<td align="left">3.686</td>
<td align="left">0.019</td>
<td align="left">1.456</td>
<td align="left">0.758</td>
<td align="left">2.796</td>
<td align="left">0.260</td>
</tr>
<tr>
<td align="left">Parity</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Para one</td>
<td align="left">1</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left">1</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Para 2-4</td>
<td align="left">1.172</td>
<td align="left">1.029</td>
<td align="left">1.334</td>
<td align="left">0.016</td>
<td align="left">1.213</td>
<td align="left">1.04</td>
<td align="left">1.414</td>
<td align="left">0.014</td>
</tr>
<tr>
<td align="left">&#x2003;Para 5&#x002B;</td>
<td align="left">1.016</td>
<td align="left">0.885</td>
<td align="left">1.166</td>
<td align="left">0.822</td>
<td align="left">1.226</td>
<td align="left">1.006</td>
<td align="left">1.493</td>
<td align="left">0.043</td>
</tr>
<tr>
<td align="left">Mainland/Zanzibar</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Mainland urban</td>
<td align="left">1</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
<td align="left">1</td>
<td align="left"/>
<td align="left"/>
<td align="left"/>
</tr>
<tr>
<td align="left">&#x2003;Mainland rural</td>
<td align="left">0.438</td>
<td align="left">0.38</td>
<td align="left">0.506</td>
<td align="left">&#x003C;0.001</td>
<td align="left">0.647</td>
<td align="left">0.45</td>
<td align="left">0.93</td>
<td align="left">0.019</td>
</tr>
<tr>
<td align="left">&#x2003;Unguja (Zanzibar Island)</td>
<td align="left">0.181</td>
<td align="left">0.147</td>
<td align="left">0.222</td>
<td align="left">&#x003C;0.001</td>
<td align="left">0.172</td>
<td align="left">0.123</td>
<td align="left">0.241</td>
<td align="left">&#x003C;0.001</td>
</tr>
<tr>
<td align="left">&#x2003;Pemba (Pemba Island)</td>
<td align="left">0.257</td>
<td align="left">0.201</td>
<td align="left">0.328</td>
<td align="left">&#x003C;0.001</td>
<td align="left">0.31</td>
<td align="left">0.211</td>
<td align="left">0.456</td>
<td align="left">&#x003C;0.001</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussion">
<title>DISCUSSION</title>
<p>A national-based cross-sectional study utilising the 2015-16 TDHS-MIS dataset was carried out among women of reproductive age (aged 15 to 49 years) to investigate factors associated with uptake of IPTp-SP in Tanzania. The outcome of the survey revealed that early ANC booking increased the odds of IPTp-SP uptake to more than one-fold compared to reference category. This finding mirrors the findings of a study conducted in Ghana, which also revealed early ANC booking being among the factor which influenced IPTp-SP uptake.<sup><xref ref-type="bibr" rid="B19">19</xref></sup> Significance similarity was also reported in a study conducted in Arusha, Tanzania which revealed that early booking increased the odds of IPTp-SP uptake to almost two-folds.<sup><xref ref-type="bibr" rid="B16">16</xref></sup> Early booking provides the pregnant women with ample chance to have adequate ANC visits and hence increasing the chance of IPTp-SP uptake. The research evidence support the premise that increased ANC visits increased the probability to IPTp-SP uptake.<sup><xref ref-type="bibr" rid="B17">17</xref>&#x2013;<xref ref-type="bibr" rid="B20">20</xref></sup></p>
<p>This study revealed that maternal age had a positive influence to IPTp-SP uptake. The uptake of IPTp-SP increases with increasing maternal age. This results echoed the DHS of 2013 which indicated that women with greater than or equal to 30 years had increased odds to IPTp-SP uptake.<sup><xref ref-type="bibr" rid="B21">21</xref></sup> Contrary to this, a demographic health survey (UDHS-2015/2016) conducted in Uganda indicated that maternal age did not contribute to IPTp-SP uptake among pregnant women.<sup><xref ref-type="bibr" rid="B17">17</xref></sup> Similarly, the results of a systematic and meta-analysis study conducted in sub-Saharan Africa demonstrated insignificant association between maternal age and IPTp-SP uptake.<sup><xref ref-type="bibr" rid="B20">20</xref></sup> Differing socio-demographic characteristics of the respondents could be the reason for the demonstrated conflicting results.</p>
<p>The analysis also reported wealth index of the respondents to be a significant determinant of IPTp-SP uptake. The likelihood for IPTp-SP use increased based on the woman&#x0027;s wealth index. Middle class and richer women were more than one-fold likely to have adequate IPTp-SP associated with uptake of IPTp-SP were; early ANC uptake compared to the poor group. This observation is in line with what was revealed from a data analysis study conducted in Nigeria.<sup><xref ref-type="bibr" rid="B20">20</xref></sup> Being wealthy implies that the pregnant woman has the ability to cater for costs relating to access and utilisation of ANC services, and hence, promoting IPTp-SP uptake. There is a positive relationship between increasing wealth quintile and receiving ANC services which increases the chance of pregnant women to received IPTp-SP services.</p>
<p>The uptake of IPTp-SP was also found to increase with increasing education level of the woman. Pregnant women with primary education were one-fold versus those with secondary education or above whose odds were almost two-folds likely to have adequate IPTp-SP uptake compared to the reference category. This observation is supported by several other studies conducted in sub-Saharan Africa.<sup><xref ref-type="bibr" rid="B17">17</xref>,<xref ref-type="bibr" rid="B20">20</xref></sup> Educated women tend to have greater awareness and knowledge of the existence of IPTp-SP services and the benefits of using such services.<sup><xref ref-type="bibr" rid="B22">22</xref></sup></p>
<p>This study showed that multi-parity and grand-multi-parity increased the likelihood of uptake of IPTp-SP compared to primiparity. However, this observation is contradicted by a cross-sectional study conducted in Ghana at Winneba, Trauma and Orthopedic Hospital, which revealed that women with 4 and above parities had the least likelihood to use IPTp-SP during pregnancy.<sup><xref ref-type="bibr" rid="B18">18</xref></sup> The difference in the findings can be attributed to the different sample sizes used, 6,885 and 391. A similar study conducted in Ethiopia reported the significant association maternal parity and health services utilisation including IPTp-SP uptake.<sup><xref ref-type="bibr" rid="B23">23</xref></sup></p>
<p>It was further revealed that being a resident of Mainland rural, Unguja and Pemba was negatively associated with IPTp-SP uptake compared to urban Mainland residency. The observed results could be due to socio-cultural differences especially with reference to residents of Unguja and Pemba Islands. Research evidence have linked rural residency with illiteracy, inadequate access to health services, inaccessible to health information updates, poverty etc., and all these attribute to inadequate IPTp-SP uptake.<sup><xref ref-type="bibr" rid="B24">24</xref>,25</sup></p>
</sec>
<sec sec-type="conclusions">
<title>CONCLUSION</title>
<p>Although IPTp-SP is a recommended routine measure against malaria infection during pregnancy, a considerable percentage of pregnant women do not receive the service. Based on this study, women who are most likely not to receive IPTp-SP are; those who book late for their ANC, below 20 years of age, with no formal education, low parity and reside in Mainland rural, Island Unguja and Pemba. Innovative strategies are recommended to address the challenge of low uptake of IPTp-SP during pregnancy.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgment:</title>
<p>The authors are grateful to MEASURE DHS for providing them with the data set.</p>
</ack>
<fn-group>
<fn fn-type="other"><p><bold>Peer Reviewed</bold></p></fn>
<fn fn-type="other"><p><bold>Competing Interests:</bold> None declared.</p></fn>
</fn-group>
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