<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Archiving and Interchange DTD v1.0 20120330//EN" "JATS-archivearticle1.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article"><?properties open_access?><front><journal-meta><journal-id journal-id-type="nlm-ta">BMC Pregnancy Childbirth</journal-id><journal-id journal-id-type="iso-abbrev">BMC Pregnancy Childbirth</journal-id><journal-title-group><journal-title>BMC Pregnancy and Childbirth</journal-title></journal-title-group><issn pub-type="epub">1471-2393</issn><publisher><publisher-name>BioMed Central</publisher-name><publisher-loc>London</publisher-loc></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">29769047</article-id><article-id pub-id-type="pmc">5956968</article-id><article-id pub-id-type="publisher-id">1803</article-id><article-id pub-id-type="doi">10.1186/s12884-018-1803-4</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group></article-categories><title-group><article-title>Uptake of skilled attendance along the continuum of care in rural Western Kenya: selected analysis from Global Health initiative survey-2012</article-title></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">http://orcid.org/0000-0002-6579-6957</contrib-id><name><surname>Mwangi</surname><given-names>Winfred</given-names></name><address><email>wwkui@yahoo.com.au</email></address><xref ref-type="aff" rid="Aff1">1</xref><xref ref-type="aff" rid="Aff2">2</xref><xref ref-type="aff" rid="Aff3">3</xref></contrib><contrib contrib-type="author"><name><surname>Gachuno</surname><given-names>Onesmus</given-names></name><address><email>owgachuno@yahoo.com</email></address><xref ref-type="aff" rid="Aff1">1</xref><xref ref-type="aff" rid="Aff4">4</xref></contrib><contrib contrib-type="author"><name><surname>Desai</surname><given-names>Meghna</given-names></name><address><email>mud8@cdc.gov</email></address><xref ref-type="aff" rid="Aff2">2</xref><xref ref-type="aff" rid="Aff5">5</xref></contrib><contrib contrib-type="author"><name><surname>Obor</surname><given-names>David</given-names></name><address><email>DObor@kemricdc.org</email></address><xref ref-type="aff" rid="Aff2">2</xref></contrib><contrib contrib-type="author"><name><surname>Were</surname><given-names>Vincent</given-names></name><address><email>VWere@kemricdc.org</email></address><xref ref-type="aff" rid="Aff2">2</xref></contrib><contrib contrib-type="author"><name><surname>Odhiambo</surname><given-names>Frank</given-names></name><address><email>frankouma7@gmail.com</email></address><xref ref-type="aff" rid="Aff2">2</xref></contrib><contrib contrib-type="author"><name><surname>Nyaguara</surname><given-names>Amek</given-names></name><address><email>amekombekl@yahoo.com</email></address><xref ref-type="aff" rid="Aff2">2</xref></contrib><contrib contrib-type="author"><name><surname>Laserson</surname><given-names>Kayla F.</given-names></name><address><email>kel4@cdc.gov</email></address><xref ref-type="aff" rid="Aff2">2</xref><xref ref-type="aff" rid="Aff6">6</xref></contrib><aff id="Aff1"><label>1</label>Afya Bora Consortium Fellowship on Global Health Leadership, <uri>https://www.afyaboraconsortium.org</uri></aff><aff id="Aff2"><label>2</label><institution-wrap><institution-id institution-id-type="ISNI">0000 0001 0155 5938</institution-id><institution-id institution-id-type="GRID">grid.33058.3d</institution-id><institution>Kenya Medical Research Institute/ Centers for Disease Control and Prevention (KEMRI/CDC), </institution></institution-wrap>Kisumu, Kenya </aff><aff id="Aff3"><label>3</label>Moi Teaching and Referral Hospital, Eldoret, Kenya </aff><aff id="Aff4"><label>4</label><institution-wrap><institution-id institution-id-type="ISNI">0000 0001 2019 0495</institution-id><institution-id institution-id-type="GRID">grid.10604.33</institution-id><institution>University of Nairobi, </institution></institution-wrap>Nairobi, Kenya </aff><aff id="Aff5"><label>5</label>Malaria Branch, CDC, Atlanta, Georgia </aff><aff id="Aff6"><label>6</label>Centre for Global Health, CDC, Atlanta, Georgia </aff></contrib-group><pub-date pub-type="epub"><day>16</day><month>5</month><year>2018</year></pub-date><pub-date pub-type="pmc-release"><day>16</day><month>5</month><year>2018</year></pub-date><pub-date pub-type="collection"><year>2018</year></pub-date><volume>18</volume><elocation-id>175</elocation-id><history><date date-type="received"><day>11</day><month>7</month><year>2016</year></date><date date-type="accepted"><day>30</day><month>4</month><year>2018</year></date></history><permissions><copyright-statement>&#x000a9; The Author(s). 2018</copyright-statement><license license-type="OpenAccess"><license-p><bold>Open Access</bold>This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/">http://creativecommons.org/licenses/by/4.0/</ext-link>), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/publicdomain/zero/1.0/">http://creativecommons.org/publicdomain/zero/1.0/</ext-link>) applies to the data made available in this article, unless otherwise stated.</license-p></license></permissions><abstract id="Abs1"><sec><title>Background</title><p id="Par1">Examining skilled attendance throughout pregnancy, delivery and immediate postnatal period is proxy indicator on the progress towards reduction of maternal and neonatal mortality in developing countries.</p></sec><sec><title>Methods</title><p id="Par2">We conducted a cross-sectional baseline survey of households of mothers with at least 1 child under-5&#x000a0;years in 2012 within the KEMRI/CDC health and demographic surveillance system (HDSS) area in rural western Kenya.</p></sec><sec><title>Results</title><p id="Par3">Out of 8260 mother-child pairs, data on antenatal care (ANC) in the most recent pregnancy was obtained for 89% (<italic>n</italic>&#x02009;=&#x02009;8260); 97% (<italic>n</italic>&#x02009;=&#x02009;7387) reported attendance. Data on number of ANC visits was available for 89% (<italic>n</italic>&#x02009;=&#x02009;7140); 52% (<italic>n</italic>&#x02009;=&#x02009;6335) of mothers reported &#x02265;4 ANC visits. Data on gestation month at first ANC was available for 94% (<italic>n</italic>&#x02009;=&#x02009;7140) of mothers; 14% (<italic>n</italic>&#x02009;=&#x02009;6690) reported first visit was in1<sup>st</sup>trimester (0-12&#x000a0;weeks), 73% in 2nd trimester (14-28&#x000a0;weeks) and remaining 13% in third trimester. Forty nine percent (<italic>n</italic>&#x02009;=&#x02009;8259) of mothers delivered in a Health Facility (HF), 48% at home and 3% en route to HF. Forty percent (<italic>n</italic>&#x02009;=&#x02009;7140) and 63% (<italic>n</italic>&#x02009;=&#x02009;4028) of mothers reporting ANC attendance and HF delivery respectively also reported receiving postnatal care (PNC). About 36% (<italic>n</italic>&#x02009;=&#x02009;8259) of mothers reported newborn assessment (NBA). Sixty eight percent (<italic>n</italic>&#x02009;=&#x02009;3966) of mothers that delivered at home reported taking newborn for HF check-up, with only 5% (<italic>n</italic>&#x02009;=&#x02009;2693) doing so within 48&#x000a0;h of delivery. Being &#x02264;34&#x000a0;years (OR 1.8; 95% CI 1.4-2.4) and at least primary education (OR 5.3; 95% CI 1.8-15.3) were significantly associated with ANC attendance. Being &#x02264;34&#x000a0;years (OR 1.7; 95% CI 1.5-2.0), post-secondary vs primary education (OR 10; 95% CI 4.4-23.4), ANC attendance (OR 4.5; 95% CI 3.2-6.1), completing &#x02265;4 ANC visits (OR 2.0; 95% CI 1.8-2.2), were strongly associated with HF delivery. The continuum of care was such that 97% (<italic>n</italic>&#x02009;=&#x02009;7387) mothers reported ANC attendance, 49% reported both ANC and HF delivery attendance, 34% reported ANC, HF delivery and PNC attendance and only 18% reported ANC, HF delivery, PNC and NBA attendance.</p></sec><sec><title>Conclusion</title><p id="Par4">Uptake of services drastically declined from antenatal to postnatal period, along the continuum of care. Age and education were key determinants of uptake.</p></sec></abstract><kwd-group xml:lang="en"><title>Keywords</title><kwd>Skilled attendance</kwd><kwd>Maternal and child health</kwd><kwd>Antenatal care</kwd><kwd>Newborn care</kwd></kwd-group><funding-group><award-group><funding-source><institution>Afya Bora Consortium Fellowship in Global Health Leadership</institution></funding-source><award-id>grant # R24TW008907-01S1.</award-id></award-group></funding-group><custom-meta-group><custom-meta><meta-name>issue-copyright-statement</meta-name><meta-value>&#x000a9; The Author(s) 2018</meta-value></custom-meta></custom-meta-group></article-meta></front><body><sec id="Sec1"><title>Background</title><p id="Par34">The burden of maternal mortality is highest in Sub-Saharan Africa (SSA). Of 287,000 maternal deaths occurring worldwide in 2010, 56% were in SSA [<xref ref-type="bibr" rid="CR1">1</xref>]. Maternal death rate in Kenya was estimated at 414 (95% CI328-501) in 2003and 488 per 100,000 live births (95% CI333-643) in 2009 [<xref ref-type="bibr" rid="CR2">2</xref>]. When verbal autopsy methodology is applied the ratio is estimated to be as high as 650 to 669 per 100,000 live births in slums and rural settings [<xref ref-type="bibr" rid="CR3">3</xref>&#x02013;<xref ref-type="bibr" rid="CR5">5</xref>]. Measuring maternal mortality in SSA is difficult and often underestimated. This is due to lack of vital registration systems, wrong attribution of causes of death and because almost 60% of mortality occurs at home [<xref ref-type="bibr" rid="CR6">6</xref>&#x02013;<xref ref-type="bibr" rid="CR8">8</xref>] Skilled birth attendance has been recommended as proxy indicator for maternal deaths [<xref ref-type="bibr" rid="CR9">9</xref>&#x02013;<xref ref-type="bibr" rid="CR12">12</xref>].</p><p id="Par35">The lifetime risk of a Kenyan woman facing maternal death is 1 in 35 yet in 2009 only 44% reported skilled birth attendant [<xref ref-type="bibr" rid="CR2">2</xref>, <xref ref-type="bibr" rid="CR13">13</xref>, <xref ref-type="bibr" rid="CR14">14</xref>]. Maternal and newborn deaths can be avoided by ensuring that women receive essential interventions by skilled attendants throughout pregnancy- delivery-postnatal and childhood periods, [<xref ref-type="bibr" rid="CR15">15</xref>, <xref ref-type="bibr" rid="CR16">16</xref>] known as the continuum of care it is designed to ensure continuity of care throughout the woman&#x02019;s lifecycle. Poor access to effective interventions by needy rural households contributes to preventable deaths [<xref ref-type="bibr" rid="CR17">17</xref>&#x02013;<xref ref-type="bibr" rid="CR20">20</xref>]. Universal access with maternal and newborn key health packages can reduce up to two-thirds of these deaths. Accelerated scale up in SSA is necessary to achieve Millennium Development Goals (MDG) 4 and 5 [<xref ref-type="bibr" rid="CR18">18</xref>, <xref ref-type="bibr" rid="CR20">20</xref>, <xref ref-type="bibr" rid="CR21">21</xref>].</p><p id="Par36">Antenatal care (ANC) presents the opportunity for the pregnant woman to receive evidenced-based interventions distributed over 4 individualized visits. The direct contribution of ANC to maternal mortality reduction in developing countries has been questioned due to seemingly successful uptake yet maternal mortality remains high [<xref ref-type="bibr" rid="CR20">20</xref>&#x02013;<xref ref-type="bibr" rid="CR22">22</xref>]. With high prevalence of HIV/AIDS (14%) [<xref ref-type="bibr" rid="CR2">2</xref>] malaria parasitemia (18%) and anemia in pregnancy (69%) [<xref ref-type="bibr" rid="CR23">23</xref>] in this area, early ANC allows timely entry into HIV/AIDS and malaria control programs, conditions that substantially compounds maternal mortality and HIV transmission [<xref ref-type="bibr" rid="CR4">4</xref>, <xref ref-type="bibr" rid="CR24">24</xref>].</p><p id="Par37">Skilled birth attendance is the process by which a woman is provided with adequate care during labor, delivery and the early postnatal period. It is the single most effective intervention in reducing maternal and perinatal mortality for two reasons; first, 60% of maternal and 30% of neonatal deaths occur over the short period between labor and the first 24 postnatal hours and second most maternal deaths are due to direct obstetric complications that are unpredictable antenatally but treatable when detected during labor and after birth [<xref ref-type="bibr" rid="CR7">7</xref>, <xref ref-type="bibr" rid="CR25">25</xref>&#x02013;<xref ref-type="bibr" rid="CR27">27</xref>]. Thus, location of delivery, who conducts the delivery, and how quickly mothers can be transported to the location where emergency obstetrics care is available are crucial factors to improving the inextricably linked maternal and child survival [<xref ref-type="bibr" rid="CR28">28</xref>&#x02013;<xref ref-type="bibr" rid="CR31">31</xref>].</p><p id="Par38">There are many stakeholders contributing to reproductive health (RH) services in rural western Kenya including the government&#x02019;s Ministry of Health (MOH), but the usage of RH services that could reduce maternal mortality had not been assessed previously. Due to poor utilization of health facilities, household surveys data provide the next best data estimates that can be used to prioritize resources [<xref ref-type="bibr" rid="CR6">6</xref>, <xref ref-type="bibr" rid="CR12">12</xref>, <xref ref-type="bibr" rid="CR32">32</xref>, <xref ref-type="bibr" rid="CR33">33</xref>]. Stakeholders under the umbrella of the United States Agency for International Aid (USAID)&#x02019;s Global Health Initiative (GHI) conducted a population-based survey [<xref ref-type="bibr" rid="CR34">34</xref>, <xref ref-type="bibr" rid="CR35">35</xref>] to assess the uptake of ANC, skilled birth and after delivery services and newborn assessment within 48&#x000a0;h of birth. The objective of this survey was to examine reproductive health service utilization that can be used as indicators to evaluate maternal and child health programs.</p></sec><sec id="Sec2"><title>Methods</title><sec id="Sec3"><title>Study site and population</title><p id="Par39">The study was conducted from 16th October to 31st December 2012 during the third round of data collection within the KEMRI/CDC&#x02019;s Health and Demographic Surveillance System (HDSS) area located in Siaya County in rural western Kenya. It has an estimated population of about 220,000 people [<xref ref-type="bibr" rid="CR36">36</xref>]. Women of reproductive age (15-49&#x000a0;years) make up to 22% of the population and children under-five account for about 16% of the population [<xref ref-type="bibr" rid="CR36">36</xref>]. The population is predominantly of Luo ethnicity and earns their living through subsistence farming and fishing [<xref ref-type="bibr" rid="CR37">37</xref>]. HDSS area has high poverty levels and limited healthcare infrastructure. There are 36 health facilities; one district hospital, two privately owned hospitals, 11 health centers and 22 dispensaries [<xref ref-type="bibr" rid="CR5">5</xref>]. According to the Kenya Essential Package for Health (KEPH) levels of care, Level one consist of the community; Level 2, dispensaries; Level 3, health centers, maternity/nursing homes/ clinics and Level 4, primary hospitals. Level 2 staff include enrolled nurses who can provide antenatal care and treatment for simple medical problems during pregnancy such as anemia, and occasionally conduct normal deliveries [<xref ref-type="bibr" rid="CR38">38</xref>]. Level 3 is predominantly involved with preventive care, but also various curative services- safe motherhood, child health promotion and integrated management of childhood illnesses (IMCI), Malaria, HIV/AIDS/STI and TB control. Level 4 can handle at least basic emergence obstetric care [<xref ref-type="bibr" rid="CR34">34</xref>].</p><p id="Par40">The KEMRI/CDC HDSS collects data through house-to-house interviews by trained staff in three rounds every year running from, January to April, May to August, and September to December. Data collected include information on births, deaths, pregnancies, migrations, morbidity, educational and marital status. [<xref ref-type="bibr" rid="CR37">37</xref>] Malaria transmission is high with seasonal peaks in May-July and October-November. HIV and TB prevalence in HDSS are some of the highest in the country [<xref ref-type="bibr" rid="CR5">5</xref>].</p></sec><sec id="Sec4"><title>Study design</title><p id="Par41">As part of the Global Health Initiative [<xref ref-type="bibr" rid="CR35">35</xref>] and in collaboration with the Ministry of health (MOH) and other partners in this area in 2011, we conducted a baseline reproductive health house to house survey of mothers with children 5 years and below at the time of interview. All households in the HDSS were targeted. Eligible participants were identified by community interviewers [<xref ref-type="bibr" rid="CR39">39</xref>] as they visited households in the HDSS as part of the standard HDSS data round. Verbal consent was obtained for these additional service-related questions. As per standard HDSS protocol, individuals were fully aware that participation was voluntary and could opt out at any time during interview. Mothers were asked questions pertaining to the most recent pregnancy; ANC attendance, type of ANC service provider, place of birth. type of birth assistant, after delivery services provided which included PNC, FP and NBA. Data on a Health Facility (HF) check-up for babies born at home was also collected. Postnatal care was defined as service including any assessment given to a mother within 48&#x000a0;h of delivery. The national health policy in Kenya recommends that all women receive postnatal check-up at a HF within 2 days of delivery [<xref ref-type="bibr" rid="CR2">2</xref>, <xref ref-type="bibr" rid="CR13">13</xref>]. PNC can range from simple general exam to and specific exams like blood pressure, breast exam, pain management, mental status exam and Caesarean Section incision site exams. The components and extent of this care is largely dependent on mode of delivery, complications at birth and complaints the mother may present with. Details of the specific service given were not obtained. NBA include early breastfeeding support, umbilical cord hygiene, keeping baby warm and immunization and identifying danger signs for severe illness like breathing difficulties, lethargy and inability to feed [<xref ref-type="bibr" rid="CR20">20</xref>].</p><p id="Par42">The child&#x02019;s mother was interviewed; where the mother was not present at the time of interview, a proxy (the head of household or household administrator) was interviewed. Household administrator is the person who runs the household day to day affairs on behalf of a non-resident head of household [<xref ref-type="bibr" rid="CR39">39</xref>]. When the mother or proxy was unavailable on a second visit, the household was excluded from the survey. Socio-demographic data collected a year prior was obtained from the HDSS database using the mothers&#x02019; Permanent Identification number issued by HDSS and useful in linking records of individuals across files [<xref ref-type="bibr" rid="CR39">39</xref>].</p></sec><sec id="Sec5"><title>Data analysis</title><p id="Par43">This study employed quantitative analysis. Responses reported as &#x0201c;Don&#x02019;t Know&#x0201d; or &#x0201c;NA&#x0201d; were excluded from analysis. Both descriptive and inferential analysis was done using Epi info. Continuous variables were described by medians, interquartile ranges, and standard deviations. Categorical variables were described as proportions. Associations for categorical data were determined using Pearson&#x02019;s chi-square test or Fisher&#x02019;s exact test. We evaluated factors associated with ANC, skilled birth attendance, PNC and NBA through bivariate analyses, using logistic regression. All tests were interpreted against a 5% significance level.</p></sec></sec><sec id="Sec6"><title>Results</title><sec id="Sec7"><title>Socio-demographic characteristics</title><p id="Par44">We enrolled 8377 mothers with at least one child who was under five at the time of interview. Using the HDSS permanent ID we linked mothers&#x02019; data with the youngest child and obtained 8260 mother-child pairs. Because of missing data the denominator for each variable was different. The median age of mothers was 27&#x000a0;years (range: 13-54&#x000a0;years) (Table&#x000a0;<xref rid="Tab1" ref-type="table">1</xref>).<table-wrap id="Tab1"><label>Table 1</label><caption><p>Socio-demographic and clinical Characteristics</p></caption><table frame="hsides" rules="groups"><thead><tr><th/><th>Number</th><th>Percent</th><th colspan="2">95% CI</th></tr></thead><tbody><tr><td colspan="5">Age Category <italic>n</italic>&#x02009;=&#x02009;8096</td></tr><tr><td>&#x02003;&#x02009;&#x02264;&#x02009;20</td><td>1063</td><td>13.1%</td><td>12.4</td><td>13.9</td></tr><tr><td>&#x02003;21-34</td><td>5571</td><td>68.8%</td><td>67.8</td><td>69.8</td></tr><tr><td>&#x02003;&#x02009;&#x02265;&#x02009;35</td><td>1462</td><td>18.1%</td><td>17.2</td><td>18.9</td></tr><tr><td colspan="5">Marital Status <italic>n</italic>&#x02009;=&#x02009;7788</td></tr><tr><td>&#x02003;Married</td><td>3994</td><td>51.3%</td><td>50.2</td><td>52.4</td></tr><tr><td>&#x02003;Married/Cohabiting</td><td>2176</td><td>27.9%</td><td>27</td><td>29</td></tr><tr><td>&#x02003;Divorced/Separated</td><td>128</td><td>1.6%</td><td>1.4</td><td>2</td></tr><tr><td>&#x02003;Widowed</td><td>280</td><td>3.6%</td><td>3.2</td><td>4</td></tr><tr><td>&#x02003;Single</td><td>1210</td><td>15.5%</td><td>14.7</td><td>16.4</td></tr><tr><td colspan="5">Level of Education <italic>n</italic>&#x02009;=&#x02009;3887</td></tr><tr><td>&#x02003;Primary</td><td>2966</td><td>76.3%</td><td>74.9</td><td>77.6</td></tr><tr><td>&#x02003;Secondary</td><td>812</td><td>20.9%</td><td>19.6</td><td>22.2</td></tr><tr><td>&#x02003;Post-secondary</td><td>73</td><td>1.9%</td><td>1.5</td><td>2.4</td></tr><tr><td>&#x02003;None</td><td>36</td><td>0.9%</td><td>0.7</td><td>1.3</td></tr><tr><td colspan="5">ANC attendance (at least one visit) <italic>n</italic>&#x02009;=&#x02009;7387</td></tr><tr><td>&#x02003;Yes</td><td>7140</td><td>96.7%</td><td>96.2</td><td>97.1</td></tr><tr><td>&#x02003;No</td><td>247</td><td>3.3%</td><td>3</td><td>3.8</td></tr><tr><td colspan="5">Gestation month at first ANC visit <italic>n</italic>&#x02009;=&#x02009;6696</td></tr><tr><td>&#x02003;1-3</td><td>945</td><td>14.1%</td><td>13.3</td><td>15</td></tr><tr><td>&#x02003;4-6</td><td>4882</td><td>72.9%</td><td>71.8</td><td>74</td></tr><tr><td>&#x02003;7-9</td><td>869</td><td>13.0%</td><td>12.3</td><td>13.8</td></tr><tr><td colspan="5">Number of ANC visits made <italic>n</italic>&#x02009;=&#x02009;6332</td></tr><tr><td>&#x02003;1</td><td>231</td><td>3.7%</td><td>3.2</td><td>4.2</td></tr><tr><td>&#x02003;2</td><td>866</td><td>13.7%</td><td>12.8</td><td>14.6</td></tr><tr><td>&#x02003;3</td><td>1957</td><td>30.9%</td><td>29.8</td><td>32.1</td></tr><tr><td>&#x02003;4</td><td>1905</td><td>30.1%</td><td>29</td><td>31.2</td></tr><tr><td>&#x02003;5</td><td>868</td><td>13.7%</td><td>12.9</td><td>14.6</td></tr><tr><td>&#x02003;&#x02009;&#x02265;&#x02009;6</td><td>505</td><td>8.0%</td><td>6.9</td><td>9.3</td></tr><tr><td colspan="5">Source of ANC <italic>n</italic>&#x02009;=&#x02009;7119</td></tr><tr><td>&#x02003;Government Dispensary</td><td>2014</td><td>28.3%</td><td>27.3</td><td>29.4</td></tr><tr><td>&#x02003;Government Health Centre</td><td>2583</td><td>36.4%</td><td>35.2</td><td>37.4</td></tr><tr><td>&#x02003;Government Hospital</td><td>1703</td><td>23.9%</td><td>22.9</td><td>24.9</td></tr><tr><td>&#x02003;Mission Hospital</td><td>534</td><td>7.5%</td><td>6.9</td><td>8.1</td></tr><tr><td>&#x02003;Private Clinic/Hospital</td><td>236</td><td>3.3%</td><td>2.9</td><td>3.8</td></tr><tr><td>&#x02003;Nursing/Maternity Home</td><td>7</td><td>0.1%</td><td>0</td><td>0.2</td></tr><tr><td>&#x02003;Home</td><td>36</td><td>0.5%</td><td>0.4</td><td>0.7</td></tr><tr><td>&#x02003;Others</td><td>6</td><td>0.1%</td><td>0</td><td>0.2</td></tr><tr><td colspan="5">ANC service provider <italic>n</italic>&#x02009;=&#x02009;7140</td></tr><tr><td>&#x02003;Doctor</td><td>651</td><td>9.1%</td><td>8.5</td><td>9.8</td></tr><tr><td>&#x02003;Nurse/Midwife</td><td>6351</td><td>89.0%</td><td>88.2</td><td>90</td></tr><tr><td>&#x02003;Community health workers</td><td>41</td><td>0.6%</td><td>0.4</td><td>0.8</td></tr><tr><td>&#x02003;Traditional birth attendant</td><td>52</td><td>0.7%</td><td>0.6</td><td>1</td></tr><tr><td>&#x02003;Others</td><td>45</td><td>0.6%</td><td>0.5</td><td>0.9</td></tr><tr><td colspan="5">Birthplace <italic>n</italic>&#x02009;=&#x02009;8259</td></tr><tr><td>&#x02003;Government Dispensary</td><td>529</td><td>6.4%</td><td>5.9</td><td>7</td></tr><tr><td>&#x02003;Government Health Centre</td><td>1038</td><td>12.6%</td><td>11.9</td><td>13.3</td></tr><tr><td>&#x02003;Government Hospital</td><td>1807</td><td>21.9%</td><td>21</td><td>22.8</td></tr><tr><td>&#x02003;Mission Hospital</td><td>405</td><td>4.9%</td><td>4.4</td><td>5.4</td></tr><tr><td>&#x02003;Private Clinic/Hospital</td><td>211</td><td>2.6%</td><td>2.2</td><td>2.9</td></tr><tr><td>&#x02003;Nursing/Maternity Home</td><td>38</td><td>0.5%</td><td>0.3</td><td>0.6</td></tr><tr><td>&#x02003;Home Delivery</td><td>3970</td><td>48.1%</td><td>47</td><td>49.1</td></tr><tr><td>&#x02003;En route to Health facility</td><td>261</td><td>3.2%</td><td>2.8</td><td>3.6</td></tr><tr><td colspan="5">Birth Assistants <italic>n</italic>&#x02009;=&#x02009;8257</td></tr><tr><td>&#x02003;Doctor</td><td>574</td><td>7.0%</td><td>6.4</td><td>7.5</td></tr><tr><td>&#x02003;First Nurse then doctor</td><td>547</td><td>6.6%</td><td>6.1</td><td>7.2</td></tr><tr><td>&#x02003;Nurse/midwife</td><td>3202</td><td>38.8%</td><td>37.7</td><td>39.8</td></tr><tr><td>&#x02003;Community Health Worker (CHW)</td><td>1008</td><td>12.2%</td><td>11.5</td><td>12.9</td></tr><tr><td>&#x02003;Traditional Birth Attendant (TBA)</td><td>1610</td><td>19.5%</td><td>18.7</td><td>20.4</td></tr><tr><td>&#x02003;Others(relatives, friends, neighbours, self)</td><td>1316</td><td>15.9%</td><td>15.2</td><td>16.8</td></tr><tr><td colspan="5">After delivery service (Following HF delivery) <italic>n</italic>&#x02009;=&#x02009;4028</td></tr><tr><td>&#x02003;Postnatal care</td><td>2554</td><td>63.4%</td><td>61.9</td><td>64.9</td></tr><tr><td>&#x02003;FP counselling</td><td>1349</td><td>33.5%</td><td>32</td><td>35</td></tr><tr><td>&#x02003;Assessment of newborn</td><td>2373</td><td>58.9%</td><td>57.4</td><td>60.4</td></tr><tr><td colspan="5">Newborn HF check-up following home delivery <italic>n</italic>&#x02009;=&#x02009;2693</td></tr><tr><td>&#x02003;Same day</td><td>8</td><td>0.3%</td><td/><td/></tr><tr><td>&#x02003;day one</td><td>43</td><td>1.6%</td><td/><td/></tr><tr><td>&#x02003;day two</td><td>62</td><td>2.3%</td><td/><td/></tr><tr><td>&#x02003;day 3</td><td>75</td><td>2.8%</td><td/><td/></tr><tr><td>&#x02003;day 4</td><td>61</td><td>2.3%</td><td/><td/></tr><tr><td>&#x02003;day 5</td><td>39</td><td>1.5%</td><td/><td/></tr><tr><td>&#x02003;day 6</td><td>43</td><td>1.6%</td><td/><td/></tr><tr><td>&#x02003;day 7</td><td>423</td><td>15.7%</td><td/><td/></tr><tr><td>&#x02003;&#x02009;&#x02265;&#x02009;8</td><td>1939</td><td>72.0%</td><td/><td/></tr></tbody></table><table-wrap-foot><p>Denominators vary for each variable depending on missing data</p></table-wrap-foot></table-wrap></p></sec><sec id="Sec8"><title>Antenatal care</title><p id="Par45">Complete data on ANC attendance was available for 89% (<italic>n</italic>&#x02009;=&#x02009;8260) of mothers, 97% (<italic>n</italic>&#x02009;=&#x02009;7387) of whom reported attending ANC. Data on number of ANC visits made was available for 89% (<italic>n</italic>&#x02009;=&#x02009;7140); 4% (<italic>n</italic>&#x02009;=&#x02009;6335) of mothers reported making only one ANC visit, 14% 2 visits, 31% 3 visits, 30% 4 visits, 14% 5 visits and the remaining 8% reported &#x02265;6 ANC visits. Only 52% (<italic>n</italic>&#x02009;=&#x02009;6335) of mothers completed the WHO recommended 4 ANC visits. Data on gestation month at first ANC visit was available for 94% (7140) of mothers; 14% (<italic>n</italic>&#x02009;=&#x02009;6690) reported first ANC visit was in1sttrimester (0-12&#x000a0;weeks), 73% in 2ndtrimester (14-28&#x000a0;weeks) and 13% in 3rdtrimester (29-40&#x000a0;weeks) (Table&#x000a0;<xref rid="Tab1" ref-type="table">1</xref>). The median number of gestation months at first visit was 5. Skilled ANC service provider was reported by 98% (<italic>n</italic>&#x02009;=&#x02009;7140) of mothers: 91% (<italic>n</italic>&#x02009;=&#x02009;7002) a nurse/midwife and 9% a doctor. Non-skilled ANC care providers were reported as TBAs by 38% (<italic>n</italic>&#x02009;=&#x02009;138), CHWs by 30% and &#x0201c;others&#x0201d; specified as co-wives, neighbors or relatives were reported by 33% of mothers.</p><p id="Par46">The proportion of mothers attending ANC at least once and those making &#x02265;4 ANC visits increased with level of education: 100% (<italic>n</italic>&#x02009;=&#x02009;67) and 83% (<italic>n</italic>&#x02009;=&#x02009;48) of mothers with post-secondary education and 87% (<italic>n</italic>&#x02009;=&#x02009;31) and 44% (<italic>n</italic>&#x02009;=&#x02009;9) with no education reported ANC attendance and completed &#x02265;4 ANC visits respectively (Fig.&#x000a0;<xref rid="Fig1" ref-type="fig">1</xref>).<fig id="Fig1"><label>Fig. 1</label><caption><p>Uptake of services according to education level</p></caption><graphic xlink:href="12884_2018_1803_Fig1_HTML" id="MO1"/></fig></p><p id="Par47">On the other hand, the percentage of mothers attending ANC at least once and those making &#x02265;4 ANC visits decreased with age: 97% (<italic>n</italic>&#x02009;=&#x02009;951) and 53% (<italic>n</italic>&#x02009;=&#x02009;835) of mothers aged &#x02264;20&#x000a0;years reported ANC attendance and completed &#x02265;4 ANC visits respectively and 95% (<italic>n</italic>&#x02009;=&#x02009;1337) and 47% (<italic>n</italic>&#x02009;=&#x02009;1091) respectively of mothers aged &#x02265;35&#x000a0;years (Fig.&#x000a0;<xref rid="Fig2" ref-type="fig">2</xref>).<fig id="Fig2"><label>Fig. 2</label><caption><p>Uptake of services according to age-category</p></caption><graphic xlink:href="12884_2018_1803_Fig2_HTML" id="MO2"/></fig></p><p id="Par48">ANC attendance and completion of &#x02265;4 ANC visits by marital status is shown in Fig.&#x000a0;<xref rid="Fig3" ref-type="fig">3</xref>.<fig id="Fig3"><label>Fig. 3</label><caption><p>Uptake of services according to marital status</p></caption><graphic xlink:href="12884_2018_1803_Fig3_HTML" id="MO3"/></fig></p><p id="Par49">Being &#x02264;34&#x000a0;years (OR 1.8; 95% CI1.4-2.4), any level vs no education (OR 5.3; 95% CI1.8-15.3), primary vs no education (OR 5.0; 95% CI 1.7-14.6), secondary vs no education (OR 5.8; 95% CI 1.8-18.4), married vs widowed (OR2.4; 95% CI1.5-3.9), married vs divorced/separated (OR 1.7; 95% CI 0.9-3.6) were significantly associated with increased ANC attendance (Table&#x000a0;<xref rid="Tab2" ref-type="table">2</xref>). Young age&#x02009;&#x02264;&#x02009;20 vs &#x02265;35&#x000a0;years (OR 1.7; 95% CI 1.2-2.4) and secondary vs primary education (OR 1.5; 95% CI 1.1-2.0) were significantly associated with early ANC- in first or second trimester.<table-wrap id="Tab2"><label>Table 2</label><caption><p>Relationship between socio-demographic characteristics and antenatal care attendance</p></caption><table frame="hsides" rules="groups"><thead><tr><th colspan="2">Attended ANC</th><th colspan="2">Yes <italic>(n)</italic></th><th colspan="2">No <italic>(n)</italic></th><th>Odds Ratio (95% CI)</th><th><italic>P</italic>-value</th></tr></thead><tbody><tr><td rowspan="4">Marital status</td><td rowspan="2">[Married/Married &#x00026; cohabiting] / [Single/Divorced/Separated/widowed]</td><td>5452</td><td>96.9%</td><td>173</td><td>3.1%</td><td char="(" align="char" rowspan="2">1.5(1.1-2.0)</td><td char="." align="char" rowspan="2">0.02<sup>*</sup></td></tr><tr><td>1337</td><td>95.6%</td><td>62</td><td>4.4%</td></tr><tr><td rowspan="2">Married / Widowed</td><td>3475</td><td>96.6%</td><td>123</td><td>3.4%</td><td char="(" align="char" rowspan="2">2.4(1.5-3.9<italic>)</italic></td><td char="." align="char" rowspan="2">0.001<sup>*</sup></td></tr><tr><td>235</td><td>92.2%</td><td>20</td><td>7.8%</td></tr><tr><td rowspan="6">Level of Education</td><td rowspan="2">At least primary level / None at all</td><td>3334</td><td>97.2%</td><td>94</td><td>2.8%</td><td char="(" align="char" rowspan="2">5.3(1.8- 15.3)</td><td char="." align="char" rowspan="2">0.01<sup>*</sup></td></tr><tr><td>27</td><td>87.1%</td><td>4</td><td>12.9%</td></tr><tr><td/><td>707</td><td>97.5%</td><td>18</td><td>2.5%</td><td char="(" align="char" rowspan="2">5.8 (1.8-18.4)</td><td char="." align="char" rowspan="2">0.01<sup>*</sup></td></tr><tr><td>Secondary/ no education</td><td>27</td><td>87.1%</td><td>4</td><td>12.9%</td></tr><tr><td rowspan="2">Primary/ No education</td><td>2560</td><td>97.1%</td><td>76</td><td>2.9%</td><td char="(" align="char" rowspan="2">5.0 (1.7-14.6)</td><td char="." align="char" rowspan="2">0.01<sup>*</sup></td></tr><tr><td>27</td><td>87.1%</td><td>4</td><td>12.9%</td></tr><tr><td rowspan="8">Mother&#x02019;s age-category</td><td rowspan="2">&#x02264;20&#x000a0;years / &#x02265;21&#x000a0;years</td><td>901</td><td>97.1%</td><td>27</td><td>2.9%</td><td char="(" align="char" rowspan="2">1.1(0.8-1.2)</td><td char="." align="char" rowspan="2">0.8<sup>*</sup></td></tr><tr><td>6026</td><td>96.5%</td><td>216</td><td>3.5%</td></tr><tr><td rowspan="2">21-34 / &#x02265;35&#x000a0;years</td><td>4865</td><td>97.1%</td><td>147</td><td>2.9%</td><td char="(" align="char" rowspan="2">1.8 (1.3-2.4)</td><td char="." align="char" rowspan="2">0.001<sup>*</sup></td></tr><tr><td>1269</td><td>94.9%</td><td>68</td><td>5.1%</td></tr><tr><td rowspan="2">&#x02264;20 / &#x02265;35&#x000a0;years</td><td>924</td><td>97.2%</td><td>27</td><td>2.8%</td><td char="(" align="char" rowspan="2">1.8 (1.2-2.9)</td><td char="." align="char" rowspan="2">0.01<sup>*</sup></td></tr><tr><td>1269</td><td>94.9%</td><td>68</td><td>5.1%</td></tr><tr><td rowspan="2">&#x02264;34 / &#x02265;35&#x000a0;years</td><td>5789</td><td>97.1%</td><td>174</td><td>2.9%</td><td char="(" align="char" rowspan="2">1.8 (1.4-2.4)</td><td char="." align="char" rowspan="2">0.001<sup>*</sup></td></tr><tr><td>1270</td><td>94.9%</td><td>69</td><td>5.2%</td></tr></tbody></table><table-wrap-foot><p>Reference: <sup>*</sup>Fischer&#x02019;s Exact</p><p>Denominators vary for each variable depending on missing data</p></table-wrap-foot></table-wrap></p></sec><sec id="Sec9"><title>Delivery care</title><p id="Par50">Only 49% (<italic>n</italic>&#x02009;=&#x02009;8259) of mothers delivered in a HF, 48% at home, and the remaining 3% en route to a HF (Table&#x000a0;<xref rid="Tab1" ref-type="table">1</xref>). Of all mothers who reported a HF delivery, 84% (<italic>n</italic>&#x02009;=&#x02009;4028) utilized a government-owned HF while the remaining delivered in a private HF. Types of government-owned facilities utilized for delivery included; Hospitals by 54% (1807), health centers by 31% (1038) and dispensaries by 16% (529). Types of private HFs utilized for delivery included; Mission Hospital by 62% (405), Private Hospitals/Clinics by 32% (211) and Nursing &#x00026; Maternity Home by 6% (38) of mothers. Government hospital was the most utilized facility for delivery. Skilled birth attendants at delivery was reported by 52% (<italic>n</italic>&#x02009;=&#x02009;8257) of mothers while the remaining 48% reported a non-skilled birth attendant. Skilled birth attendants were reported as nurse/midwife in 87% (<italic>n</italic>&#x02009;=&#x02009;4323) and doctor in 13%. Non-skilled attendants were reported as TBAs by 41% (<italic>n</italic>&#x02009;=&#x02009;3934), CHWs by 26% and other types of birth assistants by 33%. The &#x0201c;other types&#x0201d; were specified as; friends or neighbors 15% (<italic>n</italic>&#x02009;=&#x02009;1316), relatives 12%, mother delivered on her own in 53% and in 20% data was missing (Table&#x000a0;<xref rid="Tab1" ref-type="table">1</xref>). The relatives were reported as sisters, co-wives or mother-in-law. Almost all the births assisted by CHWs and TBAs happened at home or en route to a HF, 94% (<italic>n</italic>&#x02009;=&#x02009;1008) and 99% (<italic>n</italic>&#x02009;=&#x02009;1610) respectively. However, 59 mothers assisted by CHW and 51 by TBA reported HF delivery. We did not evaluate whether these were mothers who started off with non-skilled birth attendant and were later referred to a HF or not. Likewise 3% (<italic>n</italic>&#x02009;=&#x02009;4028) of mothers reporting HF delivery, reported a non-skilled birth assistant which may indicate mothers&#x02019; inability to identify the cadre of health service provider. Similarly, 11% (<italic>n</italic>&#x02009;=&#x02009;3968) of mothers reporting home delivery, reported a skilled birth assistant.</p><p id="Par51">The proportion of mothers reporting a HF delivery increased with the level of education and decreased with the age (Figs.&#x000a0;<xref rid="Fig1" ref-type="fig">1</xref> and <xref rid="Fig2" ref-type="fig">2</xref>). HF delivery according to marital status is shown in Fig.&#x000a0;<xref rid="Fig3" ref-type="fig">3</xref>. Young age&#x02009;&#x02264;&#x02009;34&#x000a0;years (OR 1.7; 95% CI1.5-2.0), Secondary vs primary education (OR 2.2; 95% CI1.8-2.6), post-secondary vs secondary education (OR 4.6; (95% CI2.0-10.8), post-secondary vs primary education (OR10.1; 95% CI4.4-23), single vs married, (OR 1.5; 95% CI1.3-1.7), single vs widowed, (OR 2.8; 95% CI2.1-3.6) were significantly associated with a HF delivery (Table&#x000a0;<xref rid="Tab3" ref-type="table">3</xref>).<table-wrap id="Tab3"><label>Table 3</label><caption><p>Relationship between socio-demographic characteristics, antenatal care attendance and the place of delivery</p></caption><table frame="hsides" rules="groups"><tbody><tr><td colspan="2">Type of delivery</td><td colspan="2">HF Delivery <italic>(n)</italic></td><td colspan="2">Home delivery <italic>n)</italic></td><td>Odd Ratio (95% CI)</td><td><italic>P</italic>-value</td></tr><tr><td rowspan="2">ANC attendance</td><td rowspan="2">Yes / No</td><td>3623</td><td>51.4%</td><td>3427</td><td>48.6%</td><td char="(" align="char" rowspan="2">4.5 (3.2-6.1)</td><td rowspan="2">0.001<sup>*</sup></td></tr><tr><td>47</td><td>19.1%</td><td>198</td><td>5.5%</td></tr><tr><td rowspan="2">ANC place</td><td rowspan="2">HF vs Home</td><td>3598</td><td>51.5%</td><td>3390</td><td>49.0%</td><td char="(" align="char" rowspan="2">2.9 (1.4-5.8)</td><td rowspan="2">0.002<sup>*</sup></td></tr><tr><td>11</td><td>26.8%</td><td>30</td><td>73.2%</td></tr><tr><td rowspan="2">ANC provider</td><td rowspan="2">Skilled/non-skilled</td><td>3568</td><td>51.5%</td><td>3349</td><td>48.4%</td><td char="(" align="char" rowspan="2">1.5 (1.1-2.1)</td><td rowspan="2">0.02<sup>*</sup></td></tr><tr><td>55</td><td>41.2%</td><td>78</td><td>58.7%</td></tr><tr><td rowspan="8">Gestation at first visit</td><td rowspan="2">1-3&#x000a0;months / 7-9&#x000a0;months</td><td>597</td><td>63.7%</td><td>340</td><td>36.3%</td><td char="(" align="char" rowspan="2">3.0 (2.5-3.7)</td><td rowspan="2">0.001<sup>#</sup></td></tr><tr><td>311</td><td>36.8%</td><td>535</td><td>63.2%</td></tr><tr><td rowspan="2">1-3&#x000a0;months / 4-6&#x000a0;months</td><td>597</td><td>63.7%</td><td>340</td><td>36.3%</td><td char="(" align="char" rowspan="2">1.6 (1.4-1.9)</td><td rowspan="2">0.001<sup>#</sup></td></tr><tr><td>2463</td><td>51.3%</td><td>2335</td><td>48.7%</td></tr><tr><td rowspan="2">4-6&#x000a0;months / 7-9&#x000a0;months</td><td>2463</td><td>51.3%</td><td>2335</td><td>48.7%</td><td char="(" align="char" rowspan="2">1.8 (1.6-2.2)</td><td rowspan="2">0.001<sup>*</sup></td></tr><tr><td>311</td><td>36.8%</td><td>535</td><td>63.2%</td></tr><tr><td rowspan="2">1-6&#x000a0;months /7-9&#x000a0;months</td><td>3083</td><td>53.5%</td><td>2675</td><td>46.5%</td><td char="(" align="char" rowspan="2">1.9 (1.7-2.2)</td><td rowspan="2">0.001<sup>*</sup></td></tr><tr><td>318</td><td>37.3%</td><td>535</td><td>62.7%</td></tr><tr><td rowspan="2">Number of ANC visits</td><td rowspan="2">&#x02265;4 / &#x02264;3 visits</td><td>1899</td><td>55.6%</td><td>1341</td><td>41.4%</td><td char="(" align="char" rowspan="2">1.8 (1.7-2.1)</td><td rowspan="2">0.001<sup>#</sup></td></tr><tr><td>1298</td><td>43.1%</td><td>1714</td><td>56.9%</td></tr><tr><td rowspan="8">Education</td><td rowspan="2">At least Primary level / None</td><td>2122</td><td>57.0%</td><td>1602</td><td>43.0%</td><td char="(" align="char" rowspan="2">2.1 (1.1-4.1)</td><td rowspan="2">0.04<sup>*</sup></td></tr><tr><td>14</td><td>38.9%</td><td>22</td><td>61.1%</td></tr><tr><td rowspan="2">Post-secondary / Primary</td><td>66</td><td>91.7%</td><td>6</td><td>8.3%</td><td char="(" align="char" rowspan="2">10.1 (4.4-23.4)</td><td rowspan="2">0.001<sup>*</sup></td></tr><tr><td>1485</td><td>52.1%</td><td>1363</td><td>47.9%</td></tr><tr><td rowspan="2">Post-secondary / Secondary</td><td>66</td><td>91.7%</td><td>6</td><td>8.3%</td><td char="(" align="char" rowspan="2">4.6 (2.0-10.8)</td><td rowspan="2">0.001<sup>*</sup></td></tr><tr><td>553</td><td>70.5%</td><td>232</td><td>29.65</td></tr><tr><td rowspan="2">Secondary / Primary</td><td>556</td><td>70.6%</td><td>232</td><td>29.4%</td><td char="(" align="char" rowspan="2">2.2 (1.8-2.6)</td><td rowspan="2">0.001<sup>#</sup></td></tr><tr><td>1500</td><td>52.4%</td><td>1363</td><td>47.6%</td></tr><tr><td rowspan="8">Marital status</td><td rowspan="2">Married / Widowed</td><td>1955</td><td>50.6%</td><td>1906</td><td>49.4%</td><td char="(" align="char" rowspan="2">1.9 (1.5-2.4)</td><td rowspan="2">0.0001<sup>*</sup></td></tr><tr><td>95</td><td>35.2%</td><td>175</td><td>64.8%</td></tr><tr><td rowspan="2">Single / Widowed</td><td>695</td><td>59.7%</td><td>469</td><td>40.3%</td><td char="(" align="char" rowspan="2">2.8 (2.1-3.6)</td><td rowspan="2">0.001<sup>*</sup></td></tr><tr><td>94</td><td>34.9%</td><td>175</td><td>65.1%</td></tr><tr><td rowspan="2">Married / [Married/Cohabiting]</td><td>1955</td><td>50.6%</td><td>1906</td><td>49.4%</td><td char="(" align="char" rowspan="2">1.3 (1.1-1.4)</td><td rowspan="2">0.001<sup>#</sup></td></tr><tr><td>958</td><td>44.9%</td><td>1174</td><td>55.1%</td></tr><tr><td rowspan="2">Single / Married</td><td>695</td><td>59.7%</td><td>469</td><td>40.3%</td><td char="(" align="char" rowspan="2">1.5 (1.3-1.7)</td><td rowspan="2">0.001<sup>#</sup></td></tr><tr><td>1929</td><td>50.3%</td><td>1906</td><td>49.7%</td></tr><tr><td rowspan="6">Mother&#x02019;s Age</td><td rowspan="2">&#x0003c;&#x02009;20&#x000a0;years / &#x02265;20&#x000a0;years</td><td>418</td><td>60.1%</td><td>277</td><td>39.9%</td><td char="(" align="char" rowspan="2">1.6 (1.3-1.8)</td><td rowspan="2">0.001<sup>*</sup></td></tr><tr><td>3487</td><td>48.9%</td><td>3641</td><td>51.1%</td></tr><tr><td rowspan="2">&#x02264;34 / &#x02265;35</td><td>3386</td><td>52.6%</td><td>3047</td><td>47.4%</td><td char="(" align="char" rowspan="2">1.7 (1.5-2.0)</td><td rowspan="2">0.001<sup>#</sup></td></tr><tr><td>556</td><td>39.0%</td><td>871</td><td>61.0%</td></tr><tr><td rowspan="2">&#x02264; 20 / &#x02265; 35&#x000a0;years</td><td>612</td><td>59.7%</td><td>413</td><td>40.3%</td><td char="(" align="char" rowspan="2">2.3 (2.0-2.8)</td><td rowspan="2">0.001<sup>#</sup></td></tr><tr><td>551</td><td>38.8%</td><td>871</td><td>61.3%</td></tr><tr><td colspan="2">Type of birth assistant</td><td colspan="2">Skilled</td><td colspan="2">Non-skilled</td><td/><td/></tr><tr><td rowspan="2">ANC place</td><td rowspan="2">HF /Home</td><td>3864</td><td>54.6%</td><td>3211</td><td>45.4%</td><td char="(" align="char" rowspan="2">2.2 (1.2-4.1)</td><td rowspan="2">0.02<sup>*</sup></td></tr><tr><td>15</td><td>35.7%</td><td>182</td><td>64.3%</td></tr><tr><td rowspan="2">Number of ANC visits</td><td rowspan="2">&#x02265;4 / &#x02264;3 visits</td><td>2063</td><td>62.9%</td><td>1218</td><td>37.1%</td><td char="(" align="char" rowspan="2">2.0 (1.8-2.2)</td><td rowspan="2">0.001<sup>#</sup></td></tr><tr><td>1395</td><td>45.7%</td><td>1657</td><td>54.3%</td></tr><tr><td rowspan="2">Gestation at 1st visit</td><td rowspan="2">4-6&#x000a0;months / 7-9&#x000a0;months</td><td>2691</td><td>55.1%</td><td>2190</td><td>44.9%</td><td char="(" align="char" rowspan="2">1.8 (1.6-2.2)</td><td rowspan="2">0.001<sup>*</sup></td></tr><tr><td>344</td><td>39.6%</td><td>524</td><td>60.4%</td></tr><tr><td rowspan="2">ANC provider</td><td rowspan="2">Skilled / non-skilled</td><td>3850</td><td>55.0%</td><td>3150</td><td>45.0%</td><td char="(" align="char" rowspan="2">2.8 (1.9-4.0)</td><td rowspan="2">0.001<sup>*</sup></td></tr><tr><td>42</td><td>30.4%</td><td>96</td><td>69.6%</td></tr><tr><td rowspan="2">Education</td><td rowspan="2">Post-secondary/ primary education</td><td>64</td><td>87.7%</td><td>9</td><td>12.3%</td><td char="(" align="char" rowspan="2">5.9 (2.9-12.0)</td><td rowspan="2">0.001<sup>*</sup></td></tr><tr><td>1615</td><td>54.5%</td><td>1350</td><td>45.5%</td></tr></tbody></table><table-wrap-foot><p>Reference: <sup>*</sup>Fischer&#x02019;s Exact, <sup>#</sup>Chi Square</p><p>Denominators vary for each variable depending on missing data</p></table-wrap-foot></table-wrap></p><p id="Par52">About 51% (<italic>n</italic>&#x02009;=&#x02009;7140) of mothers who reported ANC attendance also reported a HF delivery. Nineteen percent (<italic>n</italic>&#x02009;=&#x02009;245) of women reporting no ANC reported a HF delivery. ANC variables strongly associated with a HF delivery included; ANC attendance (OR 4.5; 95% CI 3.2-6.1), HF as source of ANC (OR 2.9; 95% CI 1.4-5.8), first visit in 1st or 2nd vs 3rd trimester (OR 1.9; 95% CI1.7-2.2), first visit in 1st vs 3rd trimester (OR 3.0; 95% CI 2.5-3.7) and having completed &#x02265;4 ANC visits (OR1.8; 95% CI1.7-2.1). There was a strong relationship between reporting skilled ANC provider (OR 2.8; 95% CI 1.9-4.0), first visit during 2nd vs 3rd trimester (OR1.8; 95% CI1.6-2.2), completing &#x02265;4visits (OR 2.0; 95% CI 1.8-2.2), post-secondary vs primary education (OR 5.9; 95% CI2.9-12.0) and reporting a skilled birth assistant (Table&#x000a0;<xref rid="Tab3" ref-type="table">3</xref>).</p></sec><sec id="Sec10"><title>After-delivery services</title><p id="Par53">We asked mothers whether they received any after delivery service namely, PNC and FP within 48&#x000a0;h of delivery. About 38% (<italic>n</italic>&#x02009;=&#x02009;8260) and 17% of mothers reported to have received PNC and FP respectively. Only 40% (<italic>n</italic>&#x02009;=&#x02009;7140) and 63% (<italic>n</italic>&#x02009;=&#x02009;4028) of mothers who reported ANC and HF delivery respectively, also reported receiving PNC (Table&#x000a0;<xref rid="Tab1" ref-type="table">1</xref>). Of mothers who delivered away from HF, only 14% (<italic>n</italic>&#x02009;=&#x02009;4232) reported receiving PNC. Thirty four percent (<italic>n</italic>&#x02009;=&#x02009;4028) of mothers who reported a HF delivery and a mere 1% (<italic>n</italic>&#x02009;=&#x02009;4232) of those who delivered away from HF also reported receiving FP. The proportion of mothers reporting PNC or FP increased with level of education and decreased with age. According to level of education: 67 and 37% (<italic>n</italic>&#x02009;=&#x02009;73) of mothers with post-secondary education reported PNC and FP attendance respectively, 51 and 23% (<italic>n</italic>&#x02009;=&#x02009;812) with secondary education, 38 and 17% (<italic>n</italic>&#x02009;=&#x02009;2966) with primary education and 39 and 11% (<italic>n</italic>&#x02009;=&#x02009;36) with no education. According to age: 41 and 19% (<italic>n</italic>&#x02009;=&#x02009;1063) of mothers aged &#x02264;20&#x000a0;years reported PNC and FP respectively; 39 and 18% (<italic>n</italic>&#x02009;=&#x02009;5571) aged 21-34&#x000a0;years; 32 and 14% (<italic>n</italic>&#x02009;=&#x02009;1462) aged &#x02265;35&#x000a0;years. Despite coming into contact with health care worker 37% (<italic>n</italic>&#x02009;=&#x02009;4028) and 67% (<italic>n</italic>&#x02009;=&#x02009;4028) of mothers reported not receiving any PNC or FP respectively.</p><p id="Par54">Young age&#x02009;&#x02264;&#x02009;20&#x000a0;years (OR 1.5; 95% CI 1.2-1.7), secondary vs primary education (OR 1.7; 95% CI1.4-2.0), ANC attendance (OR 3.4; 95% CI2.4-4.8) and HF delivery (OR11; 95% CI 10-12) were significantly associated with increased uptake of PNC (Table&#x000a0;<xref rid="Tab4" ref-type="table">4</xref>). Mothers who delivered in a HF were more likely to receive FP compared with those who delivered away from HF, (OR34; 95% CI26-44) <italic>p-value&#x02009;=&#x02009;0.001</italic>.<table-wrap id="Tab4"><label>Table 4</label><caption><p>Relationship between socio-demographic characteristics and postnatal and the newborn care</p></caption><table frame="hsides" rules="groups"><thead><tr><th colspan="2"/><th colspan="2">Yes (n<italic>)</italic></th><th colspan="2">No <italic>(n)</italic></th><th>Odd Ratio (95% CI)</th><th><italic>P</italic>-value</th></tr></thead><tbody><tr><td colspan="8">Received postnatal care</td></tr><tr><td rowspan="2">&#x02003;ANC attendance</td><td rowspan="2">Yes /No</td><td>2882</td><td>40.4%</td><td>4258</td><td>59.6%</td><td char="(" align="char" rowspan="2">3.4 (2.4-4.8)</td><td rowspan="2">
<italic>0.001</italic>
<sup><italic>*</italic></sup>
</td></tr><tr><td>41</td><td>16.6%</td><td>206</td><td>83.4%</td></tr><tr><td rowspan="2">&#x02003;Birth Where</td><td rowspan="2">HF / Home</td><td>2554</td><td>63.4%</td><td>1474</td><td>36.6%</td><td char="(" align="char" rowspan="2">10.6 (9.5-11.9)</td><td rowspan="2">
<italic>0.001</italic>
<sup><italic>#</italic></sup>
</td></tr><tr><td>555</td><td>14.0%</td><td>3415</td><td>86.0%</td></tr><tr><td rowspan="2">&#x02003;Level of education</td><td rowspan="2">Secondary /Primary</td><td>411</td><td>50.6%</td><td>401</td><td>49.4%</td><td char="(" align="char" rowspan="2">1.7 (1.4-2.0)</td><td rowspan="2">
<italic>0.001</italic>
<sup><italic>*</italic></sup>
</td></tr><tr><td>1126</td><td>38.0%</td><td>1840</td><td>62.0%</td></tr><tr><td rowspan="2">&#x02003;Mothers age</td><td rowspan="2">&#x0003c;&#x02009;20&#x000a0;years / &#x0003e;&#x02009;35&#x000a0;years</td><td>440</td><td>41.4%</td><td>623</td><td>58.6%</td><td char="(" align="char" rowspan="2">1.5 (1.2-1.7)</td><td rowspan="2">
<italic>0.001</italic>
<sup><italic>*</italic></sup>
</td></tr><tr><td>474</td><td>32.4%</td><td>988</td><td>67.6%</td></tr><tr><td colspan="7">Received newborn assessment</td><td/></tr><tr><td rowspan="2">&#x02003;ANC attendance</td><td rowspan="2">Yes/ No</td><td>2676</td><td>37.5%</td><td>4464</td><td>63.0%</td><td char="(" align="char" rowspan="2">2.4 (1.7-3.2)</td><td rowspan="2">
<italic>0.001</italic>
<sup><italic>*</italic></sup>
</td></tr><tr><td>50</td><td>20.0%</td><td>197</td><td>80.0</td></tr><tr><td rowspan="2">&#x02003;Birth place</td><td rowspan="2">HF / Home</td><td>2373</td><td>58.9%</td><td>1655</td><td>41.1%</td><td char="(" align="char" rowspan="2">7.8 (7.0-8.7)</td><td rowspan="2">
<italic>0.001</italic>
<sup><italic>#</italic></sup>
</td></tr><tr><td>616</td><td>15.5%</td><td>3354</td><td>84.5%</td></tr><tr><td rowspan="2">&#x02003;Level of education</td><td rowspan="2">At least primary level/ none</td><td>1492</td><td>40.1%</td><td>2231</td><td>59.9%</td><td char="(" align="char" rowspan="2">2.3(1.1-5.1)</td><td rowspan="2">
<italic>0.04</italic>
<sup><italic>*</italic></sup>
</td></tr><tr><td>8</td><td>22.2%</td><td>28</td><td>77.8%</td></tr><tr><td colspan="7">Received newborn Health Facility check-up</td><td/></tr><tr><td rowspan="2">&#x02003;ANC attendance</td><td rowspan="2">Yes / No</td><td>2396</td><td>70.0%</td><td>1029</td><td>30.0%</td><td char="(" align="char" rowspan="2">1.6(1.2-2.1)</td><td rowspan="2">
<italic>0.003</italic>
<sup><italic>*</italic></sup>
</td></tr><tr><td>118</td><td>59.6%</td><td>80</td><td>40.4%</td></tr><tr><td rowspan="2">&#x02003;Birth place</td><td rowspan="2">HF/Home</td><td>2112</td><td>61.3%</td><td>1331</td><td>38.7%</td><td char="(" align="char" rowspan="2">1.4 (1.3-1.6)</td><td rowspan="2">
<italic>0.001</italic>
<sup><italic>#</italic></sup>
</td></tr><tr><td>1815</td><td>52.3%</td><td>1653</td><td>47.7%</td></tr><tr><td rowspan="2">&#x02003;Level of education</td><td rowspan="2">At least primary level /none</td><td>1094</td><td>68.5%</td><td>504</td><td>31.5%</td><td char="(" align="char" rowspan="2">1.5(0.6-3.5)</td><td rowspan="2">
<italic>0.36</italic>
<sup><italic>*</italic></sup>
</td></tr><tr><td>13</td><td>59.1%</td><td>9</td><td>40.9%</td></tr></tbody></table><table-wrap-foot><p>Reference: <sup>*</sup>Fischer&#x02019;s Exact, <sup>#</sup>Chi Square</p><p>Denominators vary for each variable depending on missing data</p></table-wrap-foot></table-wrap></p></sec><sec id="Sec11"><title>Newborn care</title><p id="Par55">We enquired from mothers if their newborns were assessed within 48&#x000a0;h after delivery. About 36% (<italic>n</italic>&#x02009;=&#x02009;8259) of mothers reported NBA, 79% (<italic>n</italic>&#x02009;=&#x02009;3007) of whom reported a HF delivery, 20% home delivery and 1% en route to HF. Only 37% (<italic>n</italic>&#x02009;=&#x02009;7140) of the mothers who reported ANC attendance and 59% (<italic>n</italic>&#x02009;=&#x02009;4028) who reported a HF delivery also reported NBA. Just like with PNC, the proportion of mothers reporting NBA increased with level of education and decreased with age. ANC attendance (OR 2.4; 95% CI 1.7-3.2), HF delivery (OR 7.8; 95% CI7.0-8.7) and having education vs none (OR 2.3; 95% CI 1.1-5.1) were significantly associated with reporting NBA (Table&#x000a0;<xref rid="Tab4" ref-type="table">4</xref>). Despite reporting a HF delivery, 41% (<italic>n</italic>&#x02009;=&#x02009;4028) of mothers reported no NBA.</p><p id="Par56">Sixty eight percent (<italic>n</italic>&#x02009;=&#x02009;3966) of mothers who delivered at home, reported taking the newborn for a HF check-up. Less than 1 %, 0.3% (<italic>n</italic>&#x02009;=&#x02009;2697) took the newborns for HF check-up the same day they were born, 1.6% were taken the following day, 28% within the first week, 77% by 2&#x000a0;weeks. Mean duration within which newborns were taken to a HF for check-up was 44&#x000a0;days. ANC attendance (OR 1.6; 95% CI 1.2-2.1) and HF delivery (OR 1.4; 95% CI 1.3-1.6) were significantly associated with increased likelihood of reporting a HF check-up (Table&#x000a0;<xref rid="Tab4" ref-type="table">4</xref>).</p></sec><sec id="Sec12"><title>Continuum of care</title><p id="Par57">About 97% (<italic>n</italic>&#x02009;=&#x02009;7387) of mothers reported having attended ANC during their most recent pregnancy, 51% reported both ANC attendance and HF delivery, 34% reported ANC, HF delivery and PNC attendance. Mothers reporting all services along the continuum of care; ANC attendance, HF delivery, PNC and NBA assessment were only 18% (Fig.&#x000a0;<xref rid="Fig4" ref-type="fig">4</xref>).<fig id="Fig4"><label>Fig. 4</label><caption><p>Percent coverage of essential interventions along the continuum of care</p></caption><graphic xlink:href="12884_2018_1803_Fig4_HTML" id="MO4"/></fig></p></sec></sec><sec id="Sec13"><title>Discussion</title><p id="Par58">This study reports the uptake of maternal and newborn health services. These can serve as health services utilization indicators for maternal and newborn health in western Kenya. This has a two-fold benefit. First, we provide baseline indicators especially useful for monitoring and evaluation of programs. Secondly, it addresses the paucity of newborn care indicators: the Kenya essential care package has only two indicators on newborn care &#x02013;Bacille Calmette Guerin (BCG) vaccination and newborn resuscitation [<xref ref-type="bibr" rid="CR34">34</xref>]. The Kenya devolved government from national to county level and these indicators estimates presents an opportunity for rural counties to design programs that are more responsive to local needs in order to reduce disparities in Health care. We found high ANC coverage of 97%, above the national figure of 94% reported in 2009 [<xref ref-type="bibr" rid="CR2">2</xref>]. The pattern of ANC attendance according to gestation month correlates with results from other studies done in this area in 2002 [<xref ref-type="bibr" rid="CR40">40</xref>] and in most of SSA [<xref ref-type="bibr" rid="CR30">30</xref>, <xref ref-type="bibr" rid="CR37">37</xref>, <xref ref-type="bibr" rid="CR41">41</xref>, <xref ref-type="bibr" rid="CR42">42</xref>], where majority initiated ANC in second trimester and only about half completed 4 ANC visits. Therefore, despite high ANC coverage in Africa, this does not always translate to quality care, a pattern observed in previous studies [<xref ref-type="bibr" rid="CR2">2</xref>, <xref ref-type="bibr" rid="CR41">41</xref>, <xref ref-type="bibr" rid="CR43">43</xref>]. Early attendance and completion of &#x02265;4 ANC was associated with HF delivery. The effectiveness of interventions such, Intermittent Preventive Therapy (IPT) for malaria and prevention of mother-to-child transmission (PMTCT) of HIV depend on early and repeated ANC visits [<xref ref-type="bibr" rid="CR44">44</xref>]. To achieve the full benefits of ANC, at least four visits of focused antenatal care distributed over all the trimesters are necessary and early attendance need to be encouraged [<xref ref-type="bibr" rid="CR30">30</xref>, <xref ref-type="bibr" rid="CR45">45</xref>].</p><p id="Par59">The findings in this survey confirm the trends observed in other studies- low uptake of skilled birth services [<xref ref-type="bibr" rid="CR45">45</xref>&#x02013;<xref ref-type="bibr" rid="CR47">47</xref>] skilled birth attendance in terms of HF delivery and skilled birth assistant was 49 and 52% respectively, far below the 90% target by 2015 [<xref ref-type="bibr" rid="CR2">2</xref>, <xref ref-type="bibr" rid="CR13">13</xref>, <xref ref-type="bibr" rid="CR47">47</xref>]. Low-income countries that have reported major reductions in maternal and neonatal mortality have also reported high skilled birth attendance [<xref ref-type="bibr" rid="CR48">48</xref>]. A third of women delivered under the care of CHW and TBAs almost 10&#x000a0;years after shift in government policy to use of skilled birth attendants instead of trained TBA [<xref ref-type="bibr" rid="CR49">49</xref>]. Since 2003, government policy was that all deliveries in Kenya should be conducted by skilled birth attendants even at the community level. However studies done in Kenya, on factors influencing uptake of skilled birth recommend change of policy [<xref ref-type="bibr" rid="CR46">46</xref>, <xref ref-type="bibr" rid="CR50">50</xref>]. Policy documents indicate that the cadres of health workers to offer skilled birth at the community level under the Community Health Strategy is under consideration [<xref ref-type="bibr" rid="CR13">13</xref>, <xref ref-type="bibr" rid="CR34">34</xref>]. Of concern also is the finding that about 8% (617) of mothers reported giving birth all alone, in the event of the ever so common postnatal hemorrhage they are at an especially high risk of death [<xref ref-type="bibr" rid="CR4">4</xref>]. About 11% (428) reported a skilled birth assistant. Home-based skilled birth has been observed elsewhere in Kenya [<xref ref-type="bibr" rid="CR51">51</xref>]. This strategy can increase coverage of skilled birth attendance in rural areas and has worked well countries in like the Netherlands [<xref ref-type="bibr" rid="CR24">24</xref>, <xref ref-type="bibr" rid="CR25">25</xref>]. However the lack of equipment and supplies and the short duration within which emergencies must be tackled, can render even the most skilled attendant unable to cope.</p><p id="Par60">Maternal age was a determinant of use of both ANC and HF delivery as reported in other studies [<xref ref-type="bibr" rid="CR47">47</xref>]. Mothers &#x02265;35&#x000a0;years were more likely not to attend ANC, to attend late and to deliver at home and therefore at highest risk of maternal mortality [<xref ref-type="bibr" rid="CR52">52</xref>, <xref ref-type="bibr" rid="CR53">53</xref>]. Younger mothers fear of complications at childbirth and therefore opt for HF delivery. Older mothers often have had a previous normal delivery and are unwary of emergencies that could occur at birth [<xref ref-type="bibr" rid="CR46">46</xref>, <xref ref-type="bibr" rid="CR47">47</xref>, <xref ref-type="bibr" rid="CR54">54</xref>]. Uptake of skilled birth by younger mothers just like with ANC was higher compared to mothers aged &#x02265;35&#x000a0;years. One study in 1999 found teenagers to be more likely to deliver at home but our data as well as that of more recent studies indicate the contrary [<xref ref-type="bibr" rid="CR47">47</xref>, <xref ref-type="bibr" rid="CR55">55</xref>].</p><p id="Par61">Education was not only a strong predictor of uptake of skilled birth services as shown in other studies [<xref ref-type="bibr" rid="CR40">40</xref>, <xref ref-type="bibr" rid="CR52">52</xref>], but we found it was associated with increased uptake of all the services we examined in this study. Girl education even when it is just basic education has a positive impact on uptake of maternal services. Mothers in a marital relationship were more likely to attend ANC compared to those who were not as reported in one study [<xref ref-type="bibr" rid="CR47">47</xref>]. When it came to delivery single women were most likely to reported HF delivery. Compared to married women single mothers have greater autonomy as they may not have to depend on decisions of husbands and/or mothers-in-laws [<xref ref-type="bibr" rid="CR45">45</xref>, <xref ref-type="bibr" rid="CR47">47</xref>]. The proportion of widowed mothers attending ANC and skilled birth was the lowest. Our findings agree with similar data in SSA where, age, marital status and education were associated with increased ANC attendance [<xref ref-type="bibr" rid="CR45">45</xref>, <xref ref-type="bibr" rid="CR56">56</xref>].</p><p id="Par62">Data from the 90s showed postnatal care (PNC) in developing countries is almost non-existent [<xref ref-type="bibr" rid="CR57">57</xref>]. Our data showed that six in ten mothers did not receive PNC. Nevertheless, mothers who delivered in HF were 11 times more likely to receive PNC compared with those who delivered away from HF. Lack of a defined routine postnatal care package has been reported as one hindrances to services delivery at HF level [<xref ref-type="bibr" rid="CR29">29</xref>, <xref ref-type="bibr" rid="CR57">57</xref>, <xref ref-type="bibr" rid="CR58">58</xref>]. Every mother who delivers at HF and is discharged without PNC and/or FP counseling represents an unfortunate missed opportunity for service [<xref ref-type="bibr" rid="CR30">30</xref>].</p><p id="Par63">Mothers who delivered at home in the first instance were least likely to report uptake of after-delivery services. In rural settings where many mothers deliver at home, instead of assuming that the mother or baby will be brought to HF, integrated postnatal home-visit packages for mother and newborn by appropriate health workers supported with linkage to referral care are a viable alternative [<xref ref-type="bibr" rid="CR24">24</xref>, <xref ref-type="bibr" rid="CR29">29</xref>].</p><p id="Par64">The community health strategy (CHS) is one innovative way adopted in Kenya to improve maternal and newborn services delivery [<xref ref-type="bibr" rid="CR59">59</xref>]. CHS prioritization shall be based on maternal, newborn and child health indicators and hard-to&#x02013;reach communities. Our data identifies HDSS as an underserved population and would benefit from such a strategy [<xref ref-type="bibr" rid="CR14">14</xref>].</p><p id="Par65">We would like to highlight our assumptions in this study that mothers could correctly distinguish between the different cadres of health service providers and that the HFs were an enabling environment in terms of adequacy of trained personnel, supplies and equipment and that there was a functioning referral system. The limitations in this study are inherent to population-based studies [<xref ref-type="bibr" rid="CR60">60</xref>]. We relied on self-reported data based on the interviewee&#x02019;s responses which were not observed. Questions were about events that could have taken place 2 weeks to 5 years ago and this may have introduced recall bias. About 99% of mothers interviewed reported pregnancies that occurred in the 3 years preceding the survey which may have minimized bias.</p></sec><sec id="Sec14"><title>Conclusion</title><p id="Par66">We have identified key maternal and newborn health indicators that address the paucity, particularly of PNC and newborn care indicators and provided baseline indicators that can be used for developing new and evaluation of existing maternal and child health programs. The findings in this survey confirm the trends observed in other studies in Africa that there is high uptake of antenatal care but low uptake of subsequent skilled services along the continuum of care. There were missed opportunities to offer PNC, FP and newborn care to mothers who managed to reach HF. Young age and having education were associated with increased uptake of all services while being widowed was associated with poor uptake of services. Over half of mothers delivered away from HF and were less likely to receive after delivery services innovative approaches targeting this group are needed.</p></sec></body><back><glossary><title>Abbreviations</title><def-list><def-item><term>AIDS</term><def><p id="Par5">Acquired immune deficiency syndrome</p></def></def-item><def-item><term>ANC</term><def><p id="Par6">Antenatal care</p></def></def-item><def-item><term>BCG</term><def><p id="Par7">Bacillus calmette&#x02013;gu&#x000e9;rin</p></def></def-item><def-item><term>CDC</term><def><p id="Par8">Centre for disease control</p></def></def-item><def-item><term>CHS</term><def><p id="Par9">Community Health Strategy</p></def></def-item><def-item><term>CHW</term><def><p id="Par10">Community Health Worker</p></def></def-item><def-item><term>CI</term><def><p id="Par11">Confidence interval</p></def></def-item><def-item><term>FP</term><def><p id="Par12">Family planning</p></def></def-item><def-item><term>GHI</term><def><p id="Par13">Global Health Initiative</p></def></def-item><def-item><term>HDSS</term><def><p id="Par14">Health Demographic Surveillance System</p></def></def-item><def-item><term>HF</term><def><p id="Par15">Health facility</p></def></def-item><def-item><term>HIV</term><def><p id="Par16">Human Immunodeficiency Syndrome</p></def></def-item><def-item><term>IMCI</term><def><p id="Par17">Integrated Management of Childhood Illnesses</p></def></def-item><def-item><term>IPT</term><def><p id="Par18">Intermittent Preventive Treatment</p></def></def-item><def-item><term>KEMRI</term><def><p id="Par19">Kenya Medical research Institute</p></def></def-item><def-item><term>KEPH</term><def><p id="Par20">Kenya Essential Package for Health</p></def></def-item><def-item><term>MDG</term><def><p id="Par21">Millennium Development Goals</p></def></def-item><def-item><term>MOH</term><def><p id="Par22">Ministry of health</p></def></def-item><def-item><term>NBA</term><def><p id="Par23">Newborn assessment</p></def></def-item><def-item><term>OR</term><def><p id="Par24">Odds ratio</p></def></def-item><def-item><term>PMTCT</term><def><p id="Par25">Prevention of Mother to Child Transmission</p></def></def-item><def-item><term>PNC</term><def><p id="Par26">Postnatal care</p></def></def-item><def-item><term>RH</term><def><p id="Par27">Reproductive health</p></def></def-item><def-item><term>SERU</term><def><p id="Par28">Scientific and Ethics Review Unit</p></def></def-item><def-item><term>SSA</term><def><p id="Par29">Sub-Saharan Africa</p></def></def-item><def-item><term>STI</term><def><p id="Par30">Sexually Transmitted Infections</p></def></def-item><def-item><term>TB</term><def><p id="Par31">Tuberculosis</p></def></def-item><def-item><term>TBA</term><def><p id="Par32">Traditional Birth Attendant</p></def></def-item><def-item><term>USAID</term><def><p id="Par33">United States Agency for International Aid</p></def></def-item></def-list></glossary><ack><p>Dr. Winfred Mwangi is a fellow of the Afya Bora Consortium (ABC) Fellowship in Global Health Leadership supported by National Institutes of Health (NIH) Office of AIDS Research and Fogarty International Centre, grant # R24TW008907-01S1.</p><p>Global Health Initiative (GHI) survey was designed and carried out KEMRI/CDC Research and Public Health Collaboration and funded by USAID. We thank the KEMRI/CDC HDSS Branch staff for conducting the GHI survey. I would like to acknowledge both my mentors in Afya Bora Consortium Fellowship program and KEMRI/CDC Kisumu for their immense support.</p><sec id="FPar1"><title>Funding</title><p id="Par67">Funding has been provided by the Afya Bora Consortium Fellowship program which was supported by the National Institutes of Health (NIH) Office of AIDS Research and Fogarty International Centre, grant # R24TW008907-01S1. Afya Bora Consortium did not participate in the design of this survey and data collection; however my supervisor at Afya Bora Consortium Fellowship program, Dr. Onesmus Gachuno participated in the interpretation of results, editing and reviewing of the manuscript.</p></sec><sec id="FPar2"><title>Availability of data and materials</title><p id="Par68">Request for the data may be made to the KEMRI&#x02019;s HDSS data manager, David Obor at dobor@kemricdc.org. Datasets generated from the analysis can be obtained from the corresponding author through KEMRI/CDC Kisumu.</p></sec></ack><notes notes-type="author-contribution"><title>Authors&#x02019; contributions</title><p>WWM- Analyzed and interpreted the data and wrote the initial draft of the manuscript. VW, MD, OG - Contributed in data analysis and interpretation. DO, VW, AN, FO, KL- Participated in designing this study in the data management and interpretation. MD, OG, KL- edited and reviewed the manuscript. All authors have given final approval of the manuscript.</p></notes><notes notes-type="COI-statement"><sec id="FPar3"><title>Ethics approval and consent to participate</title><p id="Par69">The Global Health Survey was done during regular rounds of data collection within the KEMRI/CDC&#x02019;s Health and Demographic Surveillance System (HDSS) area. Only verbal consent was obtained for the additional services related questions. Parental consent for 70 adolescents below 16&#x000a0;years was waived because these adolescents were emancipated minors as a result of them being married and/or orphaned thereby becoming heads of households. The National Commission for Science, Technology and Innovation the commission mandated to regulate research conduct in Kenya has made this provision [<xref ref-type="bibr" rid="CR61">61</xref>]. The HDSS protocol and consent procedures were approved by both local and international Ethics and scientific review boards. The review for this survey was done by the KEMRI&#x02019;s Scientific and Ethics Review Unit (SERU protocol #1801] and Center for Disease Control Institutional Review (CDC Protocol #3308) boards. Participants were informed that taking part in the interview was voluntary and could opt out at any time.</p></sec><sec id="FPar4"><title>Competing interests</title><p id="Par70">The authors declare that they have no competing interests.</p></sec><sec id="FPar5"><title>Publisher&#x02019;s Note</title><p id="Par71">Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.</p></sec></notes><ref-list id="Bib1"><title>References</title><ref id="CR1"><label>1.</label><element-citation publication-type="book"><person-group person-group-type="author"><collab>WHO</collab></person-group><source>Trends in maternal mortality: 1990 to 2010:WHO, UNICEF, UNFPA and the World Bank estimates</source><year>2012</year><publisher-loc>Geneva, Switzerland</publisher-loc><publisher-name>World Health Organization</publisher-name></element-citation></ref><ref id="CR2"><label>2.</label><element-citation publication-type="book"><person-group person-group-type="author"><collab>Kenya National Bureau of Statistics (KNBS)</collab></person-group><source>Measure DHS: Kenya demographic and health survey, 2008-09</source><year>2010</year><publisher-loc>Calverton, Maryland, USA</publisher-loc><publisher-name>KNBS and ICF Macro</publisher-name></element-citation></ref><ref id="CR3"><label>3.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ziraba</surname><given-names>AK</given-names></name><name><surname>Madise</surname><given-names>N</given-names></name><name><surname>Mills</surname><given-names>S</given-names></name><name><surname>Kyobutungi</surname><given-names>C</given-names></name><name><surname>Ezeh</surname><given-names>A</given-names></name></person-group><article-title>Maternal mortality in the informal settlements of Nairobi city: what do we know?</article-title><source>Reprod Health</source><year>2009</year><volume>6</volume><fpage>6</fpage><pub-id pub-id-type="doi">10.1186/1742-4755-6-6</pub-id><pub-id pub-id-type="pmid">19386134</pub-id></element-citation></ref><ref id="CR4"><label>4.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Desai</surname><given-names>M</given-names></name><name><surname>Phillips-Howard</surname><given-names>PA</given-names></name><name><surname>Odhiambo</surname><given-names>FO</given-names></name><name><surname>Katana</surname><given-names>A</given-names></name><name><surname>Ouma</surname><given-names>P</given-names></name><name><surname>Hamel</surname><given-names>MJ</given-names></name><name><surname>Jackton</surname><given-names>O</given-names></name><name><surname>Sheila</surname><given-names>M</given-names></name><name><surname>van Eijk</surname><given-names>A</given-names></name><name><surname>Ogwang</surname><given-names>S</given-names></name><etal/></person-group><article-title>An analysis of pregnancy-related mortality in the KEMRI/CDC health and demographic surveillance system in western Kenya</article-title><source>PLoS One</source><year>2013</year><volume>8</volume><issue>7</issue><fpage>e68733</fpage><pub-id pub-id-type="doi">10.1371/journal.pone.0068733</pub-id><pub-id pub-id-type="pmid">23874741</pub-id></element-citation></ref><ref id="CR5"><label>5.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Odhiambo</surname><given-names>FO</given-names></name><name><surname>Laserson</surname><given-names>KF</given-names></name><name><surname>Sewe</surname><given-names>M</given-names></name><name><surname>Hamel</surname><given-names>MJ</given-names></name><name><surname>Feikin</surname><given-names>DR</given-names></name><name><surname>Adazu</surname><given-names>K</given-names></name><name><surname>Ogwang</surname><given-names>S</given-names></name><name><surname>Obor</surname><given-names>D</given-names></name><name><surname>Amek</surname><given-names>N</given-names></name><name><surname>Bayoh</surname><given-names>N</given-names></name><etal/></person-group><article-title>Profile: the KEMRI/CDC health and demographic surveillance system--western Kenya</article-title><source>Int J Epidemiol</source><year>2012</year><volume>41</volume><issue>4</issue><fpage>977</fpage><lpage>987</lpage><pub-id pub-id-type="doi">10.1093/ije/dys108</pub-id><pub-id pub-id-type="pmid">22933646</pub-id></element-citation></ref><ref id="CR6"><label>6.</label><element-citation publication-type="book"><person-group person-group-type="author"><name><surname>Rogo</surname><given-names>KO</given-names></name><name><surname>Oucho</surname><given-names>J</given-names></name><name><surname>P</surname><given-names>M</given-names></name></person-group><source>Disease and mortality in sub-Saharan Africa, vol. chapter 16, 2nd edn</source><year>2006</year><publisher-loc>Washington (DC)</publisher-loc><publisher-name>The International Bank for Reconstruction and Development / The World Bank</publisher-name></element-citation></ref><ref id="CR7"><label>7.</label><element-citation publication-type="book"><person-group person-group-type="author"><name><surname>Van Lerberghe</surname><given-names>W</given-names></name><name><surname>De Brouwere</surname><given-names>V</given-names></name></person-group><source>Of blind alleys and things that have worked: History&#x02019;s lessons on reducing maternal mortality</source><year>2001</year><fpage>7</fpage><lpage>34</lpage></element-citation></ref><ref id="CR8"><label>8.</label><mixed-citation publication-type="other">World Health Organization. Trends in maternal mortality 1990 to 2008. Estimates developed by WHO, UNICEF, UNFPA and the World Bank. 20 Avenue Appia, 1211 Geneva 27, Switzerland; 2010.</mixed-citation></ref><ref id="CR9"><label>9.</label><mixed-citation publication-type="other">WHO. Maternal mortality in 1995: estimates developed by WHO, UNICEF, UNFPA. Geneva, Swizterland; 2001.</mixed-citation></ref><ref id="CR10"><label>10.</label><element-citation publication-type="book"><person-group person-group-type="author"><collab>WHO</collab><collab>UNFPA</collab></person-group><source>Measuring access to reproductive health services</source><year>2004</year></element-citation></ref><ref id="CR11"><label>11.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Adegoke</surname><given-names>AA</given-names></name><name><surname>Van den Broek</surname><given-names>N</given-names></name></person-group><article-title>Skilled birth attendance-lessons learnt</article-title><source>BJOG</source><year>2009</year><volume>116</volume><issue>Suppl 1</issue><fpage>33</fpage><lpage>40</lpage><pub-id pub-id-type="doi">10.1111/j.1471-0528.2009.02336.x</pub-id><pub-id pub-id-type="pmid">19740170</pub-id></element-citation></ref><ref id="CR12"><label>12.</label><element-citation publication-type="book"><person-group person-group-type="author"><name><surname>Jacqueline</surname><given-names>B</given-names></name><name><surname>Curtis</surname><given-names>SL</given-names></name><name><surname>Alay&#x000f3;n</surname><given-names>S</given-names></name></person-group><source>Trends in delivery care in six countries. DHS analytical studies no. 7</source><year>2003</year><publisher-loc>Calverton, Maryland</publisher-loc><publisher-name>Macro and International Research Partnership for Skilled Attendance for Everyone (SAFE)</publisher-name></element-citation></ref><ref id="CR13"><label>13.</label><mixed-citation publication-type="other">Division of Reproductive Health. National Reproductive Health strategy 2009-2015: The Ministry of Public Health and Sanitation; 2009.</mixed-citation></ref><ref id="CR14"><label>14.</label><element-citation publication-type="book"><person-group person-group-type="author"><collab>Ministry of Public Health and Sanitation (MOPHS)</collab></person-group><source>National Framework and plan of action for the implementation of integrated case management (ICCM) in Kenya, 2012 &#x02013; 2017</source><year>2013</year></element-citation></ref><ref id="CR15"><label>15.</label><element-citation publication-type="book"><person-group person-group-type="author"><name><surname>Pearson</surname><given-names>L</given-names></name><name><surname>Larsson</surname><given-names>M</given-names></name><name><surname>Fauveau</surname><given-names>V</given-names></name><name><surname>Standley</surname><given-names>J</given-names></name></person-group><person-group person-group-type="editor"><name><surname>Lawn</surname><given-names>J</given-names></name><name><surname>Kerber</surname><given-names>K</given-names></name></person-group><article-title>Childbirth care</article-title><source>Opportunities for Africa&#x02019;s newborns</source><year>2006</year><publisher-loc>Cape Town</publisher-loc><publisher-name>PMNCH, Save the Children, UNFPA, UNICEF, USAID, WHO</publisher-name></element-citation></ref><ref id="CR16"><label>16.</label><element-citation publication-type="book"><person-group person-group-type="author"><collab>United Nations Development Group</collab></person-group><source>Indicators for monitoring the Millenium development goals: definitions, rationale, concepts and sources. Report</source><year>2003</year><publisher-loc>New York</publisher-loc><publisher-name>United Nations</publisher-name></element-citation></ref><ref id="CR17"><label>17.</label><element-citation publication-type="book"><person-group person-group-type="author"><collab>WHO</collab></person-group><source>Maternal mortality</source><year>2012</year></element-citation></ref><ref id="CR18"><label>18.</label><element-citation publication-type="book"><person-group person-group-type="author"><name><surname>Wagstaff</surname><given-names>A</given-names></name><name><surname>Claeson</surname><given-names>M</given-names></name><name><surname>Hecht</surname><given-names>RM</given-names></name><name><surname>Gottret</surname><given-names>P</given-names></name><name><surname>Qiu</surname><given-names>F</given-names></name><etal/></person-group><person-group person-group-type="editor"><name><surname>Jamison</surname><given-names>DT</given-names></name><name><surname>Breman</surname><given-names>JG</given-names></name><name><surname>Measham</surname><given-names>AR</given-names></name><etal/></person-group><article-title>Millennium development goals for health: what will it take to accelerate progress?</article-title><source>Disease control priorities in developing countries. Volume chapter 9</source><year>2006</year><edition>2</edition><publisher-loc>New York</publisher-loc><publisher-name>Oxford University Press</publisher-name><fpage>181</fpage><lpage>194</lpage></element-citation></ref><ref id="CR19"><label>19.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Lawn</surname><given-names>J</given-names></name><name><surname>Kerber</surname><given-names>K</given-names></name><name><surname>Enweronu-Laryea</surname><given-names>C</given-names></name><name><surname>Massee</surname><given-names>BO</given-names></name></person-group><article-title>Newborn survival in low resource settings&#x02014;are we delivering?</article-title><source>BJOG</source><year>2009</year><volume>116</volume><issue>Suppl. 1</issue><fpage>49</fpage><lpage>59</lpage><pub-id pub-id-type="doi">10.1111/j.1471-0528.2009.02328.x</pub-id><pub-id pub-id-type="pmid">19740173</pub-id></element-citation></ref><ref id="CR20"><label>20.</label><element-citation publication-type="book"><person-group person-group-type="author"><collab>WHO</collab><collab>UNICEF</collab></person-group><article-title>Home visits for the new born child: a strategy: a strategy to improve survival</article-title><source>Technical consultation meeting: 2007; London</source><year>2007</year></element-citation></ref><ref id="CR21"><label>21.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Darmstadt</surname><given-names>GL</given-names></name><name><surname>Bhutta</surname><given-names>ZA</given-names></name><name><surname>Cousens</surname><given-names>S</given-names></name><name><surname>Adam</surname><given-names>T</given-names></name><name><surname>Walker</surname><given-names>N</given-names></name><name><surname>de Bernis</surname><given-names>L</given-names></name></person-group><article-title>Evidence-based, cost-effective interventions: how many newborn babies can we save?</article-title><source>Lancet</source><year>2005</year><volume>365</volume><issue>9463</issue><fpage>977</fpage><lpage>988</lpage><pub-id pub-id-type="doi">10.1016/S0140-6736(05)71088-6</pub-id><pub-id pub-id-type="pmid">15767001</pub-id></element-citation></ref><ref id="CR22"><label>22.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Carroli</surname><given-names>G</given-names></name><name><surname>Rooney</surname><given-names>C</given-names></name><name><surname>Villar</surname><given-names>J</given-names></name></person-group><article-title>How effective is antenatal care in preventing maternal mortality and serious morbidity? An overview of the evidence</article-title><source>Paediatr Perinat Epidemiol</source><year>2001</year><volume>15</volume><issue>Suppl 1</issue><fpage>1</fpage><lpage>42</lpage><pub-id pub-id-type="doi">10.1046/j.1365-3016.2001.0150s1001.x</pub-id><pub-id pub-id-type="pmid">11243499</pub-id></element-citation></ref><ref id="CR23"><label>23.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ouma</surname><given-names>P</given-names></name><name><surname>van Eijk</surname><given-names>AM</given-names></name><name><surname>Hamel</surname><given-names>MJ</given-names></name><name><surname>Parise</surname><given-names>M</given-names></name><name><surname>Ayisi</surname><given-names>JG</given-names></name><name><surname>Otieno</surname><given-names>K</given-names></name><name><surname>Kager</surname><given-names>PA</given-names></name><name><surname>Slutsker</surname><given-names>L</given-names></name></person-group><article-title>Malaria and anaemia among pregnant women at first antenatal clinic visit in Kisumu, western Kenya</article-title><source>Tropical Med Int Health</source><year>2007</year><volume>12</volume><issue>12</issue><fpage>1515</fpage><lpage>1523</lpage><pub-id pub-id-type="doi">10.1111/j.1365-3156.2007.01960.x</pub-id></element-citation></ref><ref id="CR24"><label>24.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Koblinsky</surname><given-names>MA</given-names></name><name><surname>Campbell</surname><given-names>O</given-names></name><name><surname>Heichelheim</surname><given-names>J</given-names></name></person-group><article-title>Organizing delivery care: what works for safe motherhood</article-title><source>Bull World Health Organ</source><year>1999</year><volume>77</volume><fpage>399</fpage><lpage>406</lpage><pub-id pub-id-type="pmid">10361757</pub-id></element-citation></ref><ref id="CR25"><label>25.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Campbell</surname><given-names>OM</given-names></name><name><surname>Graham</surname><given-names>WJ</given-names></name></person-group><article-title>Strategies for reducing maternal mortality: getting on with what works</article-title><source>Lancet</source><year>2006</year><volume>368</volume><issue>9543</issue><fpage>1284</fpage><lpage>1299</lpage><pub-id pub-id-type="doi">10.1016/S0140-6736(06)69381-1</pub-id><pub-id pub-id-type="pmid">17027735</pub-id></element-citation></ref><ref id="CR26"><label>26.</label><element-citation publication-type="book"><person-group person-group-type="author"><name><surname>Abou-Zahr</surname><given-names>C</given-names></name></person-group><person-group person-group-type="editor"><name><surname>Murray</surname><given-names>CJ</given-names></name><name><surname>Lopez</surname><given-names>AD</given-names></name></person-group><article-title>Maternal mortality overview</article-title><source>In health dimensions of sex and reproduction</source><year>1998</year><publisher-loc>Geneva</publisher-loc><publisher-name>WHO</publisher-name><fpage>111</fpage><lpage>164</lpage></element-citation></ref><ref id="CR27"><label>27.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Lawn</surname><given-names>JE</given-names></name><name><surname>Blencowe</surname><given-names>H</given-names></name><name><surname>Pattinson</surname><given-names>R</given-names></name><name><surname>Cousens</surname><given-names>S</given-names></name><name><surname>Kumar</surname><given-names>R</given-names></name><name><surname>Ibiebele</surname><given-names>I</given-names></name><name><surname>Gardosi</surname><given-names>J</given-names></name><name><surname>Day</surname><given-names>LT</given-names></name><name><surname>Stanton</surname><given-names>C</given-names></name></person-group><article-title>Stillbirths: where? When? Why? How to make the data count?</article-title><source>Lancet</source><year>2011</year><volume>377</volume><issue>9775</issue><fpage>448</fpage><lpage>1463</lpage><pub-id pub-id-type="doi">10.1016/S0140-6736(10)62187-3</pub-id><pub-id pub-id-type="pmid">21227493</pub-id></element-citation></ref><ref id="CR28"><label>28.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Lawn</surname><given-names>J</given-names></name><name><surname>Shibuya</surname><given-names>K</given-names></name><name><surname>Stein</surname><given-names>C</given-names></name></person-group><article-title>No cry at birth: global estimates of intrapartum stillbirths and intrapartum-related neonatal deaths</article-title><source>Bull World Health Organ</source><year>2005</year><volume>83</volume><fpage>409</fpage><lpage>417</lpage><pub-id pub-id-type="pmid">15976891</pub-id></element-citation></ref><ref id="CR29"><label>29.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kerber</surname><given-names>KJ</given-names></name><name><surname>de Graft-Johnson</surname><given-names>JE</given-names></name><name><surname>Bhutta</surname><given-names>ZA</given-names></name><name><surname>Okong</surname><given-names>P</given-names></name><name><surname>Starrs</surname><given-names>A</given-names></name><name><surname>Lawn</surname><given-names>JE</given-names></name></person-group><article-title>Continuum of care for maternal, newborn, and child health: from slogan to service delivery</article-title><source>Lancet</source><year>2007</year><volume>370</volume><fpage>1358</fpage><lpage>1369</lpage><pub-id pub-id-type="doi">10.1016/S0140-6736(07)61578-5</pub-id><pub-id pub-id-type="pmid">17933651</pub-id></element-citation></ref><ref id="CR30"><label>30.</label><element-citation publication-type="book"><person-group person-group-type="author"><name><surname>Abou-Zahr</surname></name><name><surname>Lidia</surname><given-names>C</given-names></name><name><surname>Wardlaw</surname></name><name><surname>Tessa</surname><given-names>M</given-names></name></person-group><source>Antenatal care in developing countries: promises, achievements and missed opportunities : an analysis of trends, levels and differentials, 1990-2001</source><year>2003</year><publisher-loc>Geneva</publisher-loc><publisher-name>World Health Organization</publisher-name></element-citation></ref><ref id="CR31"><label>31.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Lawn</surname><given-names>JE</given-names></name></person-group><article-title>Cousens Simon, Zupan Jelka: 4 million neonatal deaths: when? Where? Why?</article-title><source>Lancet</source><year>2005</year><volume>365</volume><issue>9462</issue><fpage>891</fpage><lpage>900</lpage><pub-id pub-id-type="doi">10.1016/S0140-6736(05)71048-5</pub-id><pub-id pub-id-type="pmid">15752534</pub-id></element-citation></ref><ref id="CR32"><label>32.</label><mixed-citation publication-type="other">WHO. Reducing maternal deaths: the challenge of the new millennium in the African region. Brazzaville; 2005.</mixed-citation></ref><ref id="CR33"><label>33.</label><mixed-citation publication-type="other">African Population and Health Research Centre (APHRC), World Bank. Averting preventable maternal mortality: delays and barriers to the utilisation of emergency obstetric Care in Nairobi&#x02019;s informal settlements. Nairobi, Kenya; 2006.</mixed-citation></ref><ref id="CR34"><label>34.</label><element-citation publication-type="book"><person-group person-group-type="author"><collab>Ministry of Health (MoH)</collab><collab>Government of Kenya (GoK)</collab></person-group><source>Reversing the trends: the second National Health Sector Strategic Plan of Kenya &#x02013; NHSSP II 2005&#x02013;2010</source><year>2005</year></element-citation></ref><ref id="CR35"><label>35.</label><element-citation publication-type="book"><person-group person-group-type="author"><collab>USAID</collab></person-group><article-title>Global Health initiative: Kenya strategy. 2011-2014</article-title><source>United States Agency for International Development (USAID)</source><year>2011</year></element-citation></ref><ref id="CR36"><label>36.</label><element-citation publication-type="book"><person-group person-group-type="author"><collab>HDSS</collab></person-group><source>KEMRI/CDC research and public health collaboration. KEMRI/CDC health and demographic surveillance system</source><year>2010</year><fpage>1</fpage><lpage>36</lpage></element-citation></ref><ref id="CR37"><label>37.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>van Eijk</surname><given-names>AM</given-names></name><name><surname>Blokland</surname><given-names>IE</given-names></name><name><surname>Slutsker</surname><given-names>L</given-names></name><name><surname>Odhiambo</surname><given-names>F</given-names></name><name><surname>Ayisi</surname><given-names>JG</given-names></name><name><surname>Bles</surname><given-names>HM</given-names></name><name><surname>Rosen</surname><given-names>DH</given-names></name><name><surname>Adazu</surname><given-names>K</given-names></name><name><surname>Lindblade</surname><given-names>KA</given-names></name></person-group><article-title>Use of intermittent preventive treatment for malaria in pregnancy in a rural area of western Kenya with high coverage of insecticide-treated bed nets</article-title><source>Tropical Med Int Health</source><year>2005</year><volume>10</volume><issue>11</issue><fpage>1134</fpage><lpage>1140</lpage><pub-id pub-id-type="doi">10.1111/j.1365-3156.2005.01497.x</pub-id></element-citation></ref><ref id="CR38"><label>38.</label><element-citation publication-type="book"><person-group person-group-type="author"><collab>MOH</collab></person-group><source>Overview of the Kenya health Systsem</source><year>2004</year></element-citation></ref><ref id="CR39"><label>39.</label><element-citation publication-type="book"><person-group person-group-type="author"><collab>Health and Demographic Surveillance and System (HDSS)</collab></person-group><article-title>Field and training manual</article-title><source>KEMRI/CDC research and public health collaboration</source><year>2013</year></element-citation></ref><ref id="CR40"><label>40.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>van Eijk</surname><given-names>AM</given-names></name><name><surname>Bles</surname><given-names>HM</given-names></name><name><surname>Odhiambo</surname><given-names>F</given-names></name><name><surname>Ayisi</surname><given-names>JG</given-names></name><name><surname>Blokland</surname><given-names>IE</given-names></name><name><surname>Rosen</surname><given-names>DH</given-names></name><name><surname>Adazu</surname><given-names>K</given-names></name><name><surname>Slutsker</surname><given-names>L</given-names></name><name><surname>Lindblade</surname><given-names>KA</given-names></name></person-group><article-title>Use of antenatal services and delivery care among women in rural western Kenya: a community based survey</article-title><source>Reprod Health</source><year>2006</year><volume>3</volume><fpage>2</fpage><pub-id pub-id-type="doi">10.1186/1742-4755-3-2</pub-id><pub-id pub-id-type="pmid">16597344</pub-id></element-citation></ref><ref id="CR41"><label>41.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Pell</surname><given-names>C</given-names></name><name><surname>Menaca</surname><given-names>A</given-names></name><name><surname>Were</surname><given-names>F</given-names></name><name><surname>Afrah</surname><given-names>NA</given-names></name><name><surname>Chatio</surname><given-names>S</given-names></name><name><surname>Manda-Taylor</surname><given-names>L</given-names></name><name><surname>Hamel</surname><given-names>MJ</given-names></name><name><surname>Hodgson</surname><given-names>A</given-names></name><name><surname>Tagbor</surname><given-names>H</given-names></name><name><surname>Kalilani</surname><given-names>L</given-names></name><etal/></person-group><article-title>Factors affecting antenatal care attendance: results from qualitative studies in Ghana, Kenya and Malawi</article-title><source>PLoS One</source><year>2013</year><volume>8</volume><issue>1</issue><fpage>e53747</fpage><pub-id pub-id-type="doi">10.1371/journal.pone.0053747</pub-id><pub-id pub-id-type="pmid">23335973</pub-id></element-citation></ref><ref id="CR42"><label>42.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Tann</surname><given-names>CJ</given-names></name><name><surname>Kizza</surname><given-names>M</given-names></name><name><surname>Morison</surname><given-names>L</given-names></name><name><surname>Mabey</surname><given-names>D</given-names></name><name><surname>Muwanga</surname><given-names>M</given-names></name><name><surname>Grosskurth</surname><given-names>H</given-names></name><name><surname>Elliott</surname><given-names>AM</given-names></name></person-group><article-title>Use of antenatal services and delivery care in Entebbe, Uganda: a community survey</article-title><source>BMC Pregnancy Childbirth</source><year>2007</year><volume>7</volume><fpage>23</fpage><pub-id pub-id-type="doi">10.1186/1471-2393-7-23</pub-id><pub-id pub-id-type="pmid">17931422</pub-id></element-citation></ref><ref id="CR43"><label>43.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Fotso</surname><given-names>JC</given-names></name><name><surname>Ezeh</surname><given-names>A</given-names></name><name><surname>Oronje</surname><given-names>R</given-names></name></person-group><article-title>Provision and use of maternal health services among urban poor women in Kenya: what do we know and what can we do?</article-title><source>J Urban Health</source><year>2008</year><volume>85</volume><issue>3</issue><fpage>428</fpage><lpage>442</lpage><pub-id pub-id-type="doi">10.1007/s11524-008-9263-1</pub-id><pub-id pub-id-type="pmid">18389376</pub-id></element-citation></ref><ref id="CR44"><label>44.</label><element-citation publication-type="book"><person-group person-group-type="author"><name><surname>Lincetto</surname><given-names>O</given-names></name><name><surname>Mothebesoane-Anoh</surname><given-names>S</given-names></name><name><surname>Patricia</surname><given-names>G</given-names></name><name><surname>Munjanja</surname><given-names>S</given-names></name></person-group><person-group person-group-type="editor"><name><surname>Lawn</surname><given-names>J</given-names></name><name><surname>Kerber</surname><given-names>K</given-names></name></person-group><article-title>Antenatal Care</article-title><source>Opportunities for Africa's newborns</source><year>2006</year><publisher-loc>Cape Town</publisher-loc><publisher-name>PMNCH, Save the Children, UNFPA, UNICEF, USAID, WHO</publisher-name></element-citation></ref><ref id="CR45"><label>45.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Anyait</surname><given-names>A</given-names></name><name><surname>Mukanga</surname><given-names>D</given-names></name><name><surname>Oundo</surname><given-names>GB</given-names></name><name><surname>Nuwaha</surname><given-names>F</given-names></name></person-group><article-title>Predictors for health facility delivery in Busia district of Uganda: a cross sectional study</article-title><source>BMC Pregnancy Childbirth</source><year>2012</year><volume>12</volume><fpage>132</fpage><pub-id pub-id-type="doi">10.1186/1471-2393-12-132</pub-id><pub-id pub-id-type="pmid">23167791</pub-id></element-citation></ref><ref id="CR46"><label>46.</label><element-citation publication-type="book"><person-group person-group-type="author"><name><surname>Carter</surname><given-names>A</given-names></name><name><surname>Omar</surname><given-names>J</given-names></name><name><surname>Pido</surname><given-names>O</given-names></name><name><surname>Karama</surname><given-names>M</given-names></name></person-group><source>Factors that contribute to the low uptake of skilled care during delivery in Malindi, Kenya</source><year>2010</year></element-citation></ref><ref id="CR47"><label>47.</label><element-citation publication-type="book"><person-group person-group-type="author"><name><surname>Ochako</surname><given-names>R</given-names></name><name><surname>Fotso</surname><given-names>JC</given-names></name><name><surname>Ikamari</surname><given-names>L</given-names></name><name><surname>Khasakhala</surname><given-names>A</given-names></name></person-group><source>Utilization of maternal health services among young women in Kenya: insights from the Kenya demographic and health survey, 2003</source><year>2011</year></element-citation></ref><ref id="CR48"><label>48.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Rohde</surname><given-names>J</given-names></name><name><surname>Cousens</surname><given-names>S</given-names></name><name><surname>Chopra</surname><given-names>M</given-names></name><name><surname>Tangcharoensathien</surname><given-names>V</given-names></name><name><surname>Black</surname><given-names>R</given-names></name><name><surname>Bhutta</surname><given-names>ZA</given-names></name><etal/></person-group><article-title>30 years after Alma-Ata: has primary health care worked in countries?</article-title><source>Lancet</source><year>2008</year><volume>372</volume><fpage>950</fpage><lpage>961</lpage><pub-id pub-id-type="doi">10.1016/S0140-6736(08)61405-1</pub-id><pub-id pub-id-type="pmid">18790318</pub-id></element-citation></ref><ref id="CR49"><label>49.</label><element-citation publication-type="book"><person-group person-group-type="author"><collab>(NASCOP). MoHNAaSCP</collab></person-group><source>Guidelines on use of antiretroviral drugs for treating and preventing HIV infection: a rapid advice, 2014</source><year>2014</year></element-citation></ref><ref id="CR50"><label>50.</label><element-citation publication-type="book"><person-group person-group-type="author"><name><surname>Naanyu</surname><given-names>V</given-names></name><name><surname>Baliddawa</surname><given-names>J</given-names></name><name><surname>Peca</surname><given-names>E</given-names></name><name><surname>Karfakis</surname><given-names>J</given-names></name><name><surname>Nyagoha</surname><given-names>N</given-names></name><name><surname>Koech</surname><given-names>B</given-names></name></person-group><source>Exploring low uptake of skilled delivery services and postpartum family planning services among women living in western Kenya</source><year>2011</year></element-citation></ref><ref id="CR51"><label>51.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wanjira</surname><given-names>C</given-names></name><name><surname>Mwangi</surname><given-names>M</given-names></name><name><surname>Mathenge</surname><given-names>E</given-names></name><name><surname>Mbugua</surname><given-names>G</given-names></name><name><surname>Ng'ang'a</surname><given-names>Z</given-names></name></person-group><article-title>Delivery practices and associated factors among mothers seeking child welfare services in selected health facilities in Nyandarua south district, Kenya</article-title><source>BMC Public Health</source><year>2011</year><volume>11</volume><fpage>360</fpage><pub-id pub-id-type="doi">10.1186/1471-2458-11-360</pub-id><pub-id pub-id-type="pmid">21599994</pub-id></element-citation></ref><ref id="CR52"><label>52.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kitui</surname><given-names>J</given-names></name><name><surname>Lewis</surname><given-names>S</given-names></name><name><surname>Davey</surname><given-names>G</given-names></name></person-group><article-title>Factors influencing place of delivery for women in Kenya: an analysis of the Kenya demographic and health survey, 2008/2009</article-title><source>BMC Pregnancy Childbirth</source><year>2013</year><volume>13</volume><fpage>40</fpage><pub-id pub-id-type="doi">10.1186/1471-2393-13-40</pub-id><pub-id pub-id-type="pmid">23414104</pub-id></element-citation></ref><ref id="CR53"><label>53.</label><element-citation publication-type="book"><person-group person-group-type="author"><name><surname>Levine</surname><given-names>R</given-names></name><name><surname>Langer</surname><given-names>A</given-names></name><name><surname>Birdsall</surname><given-names>N</given-names></name><name><surname>Matheny</surname><given-names>G</given-names></name><name><surname>Wright</surname><given-names>M</given-names></name><name><surname>A</surname><given-names>B</given-names></name></person-group><article-title>Contraception</article-title><source>Disease control priorities in developing countries</source><year>2006</year><edition>2</edition><publisher-loc>New York</publisher-loc><publisher-name>Oxford University Press</publisher-name><fpage>1075</fpage><lpage>1090</lpage></element-citation></ref><ref id="CR54"><label>54.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ikamari</surname><given-names>LDE</given-names></name></person-group><article-title>Maternal health care utilisation in Teso District</article-title><source>Afr J Health Sci</source><year>2004</year><volume>11</volume><fpage>21</fpage><lpage>32</lpage><pub-id pub-id-type="pmid">17298114</pub-id></element-citation></ref><ref id="CR55"><label>55.</label><mixed-citation publication-type="other">Magadi MA, Madise NJ, Rodrigues RN. Variations in antenatal care between women of different communities in Kenya. Nairobi, Kenya. Afr Popul Health Res Cent. 1999;</mixed-citation></ref><ref id="CR56"><label>56.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Tsegay</surname><given-names>Y</given-names></name><name><surname>Gebrehiwot</surname><given-names>T</given-names></name><name><surname>Goicolea</surname><given-names>I</given-names></name><name><surname>Edin</surname><given-names>K</given-names></name><name><surname>Lemma</surname><given-names>H</given-names></name><name><surname>Sebastian</surname><given-names>MS</given-names></name></person-group><article-title>Determinants of antenatal and delivery care utilization in Tigray region, Ethiopia: a cross-sectional study</article-title><source>Int J Equity Health</source><year>2013</year><volume>12</volume><fpage>30</fpage><pub-id pub-id-type="doi">10.1186/1475-9276-12-30</pub-id><pub-id pub-id-type="pmid">23672203</pub-id></element-citation></ref><ref id="CR57"><label>57.</label><element-citation publication-type="book"><person-group person-group-type="author"><name><surname>Fort</surname><given-names>AL</given-names></name><name><surname>Monica</surname><given-names>TK</given-names></name><name><surname>Noureddine</surname><given-names>A</given-names></name></person-group><source>Postpartum care: levels and determinants in developing countries</source><year>2006</year><publisher-loc>Calverton, Maryland, USA</publisher-loc><publisher-name>Macro International Inc</publisher-name></element-citation></ref><ref id="CR58"><label>58.</label><element-citation publication-type="book"><person-group person-group-type="author"><collab>WHO</collab></person-group><source>WHO recommended interventions for improving maternal and newborn health</source><year>2009</year><publisher-loc>Geneva, Switzerland</publisher-loc><publisher-name>World Health Organization</publisher-name></element-citation></ref><ref id="CR59"><label>59.</label><element-citation publication-type="book"><person-group person-group-type="author"><name><surname>Marc</surname><given-names>L</given-names></name><name><surname>Doherty</surname><given-names>J</given-names></name><name><surname>Muchiri</surname><given-names>S</given-names></name><name><surname>Barasa</surname><given-names>T</given-names></name><name><surname>Hofler</surname><given-names>K</given-names></name><name><surname>Maniscalco</surname><given-names>L</given-names></name><name><surname>Ouma</surname><given-names>C</given-names></name><name><surname>Kirika</surname><given-names>R</given-names></name><name><surname>Maundu</surname><given-names>J</given-names></name></person-group><source>Kenya health system assessment 2010</source><year>2010</year><publisher-loc>Bethesda, MD</publisher-loc><publisher-name>Health Systems 20/20 project, Abt Associates Inc. Abt</publisher-name></element-citation></ref><ref id="CR60"><label>60.</label><element-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Manesh</surname><given-names>AO</given-names></name><name><surname>Sheldon</surname><given-names>TA</given-names></name><name><surname>Pickett</surname><given-names>KE</given-names></name><name><surname>Carr-Hill</surname><given-names>R</given-names></name></person-group><article-title>Accuracy of child morbidity data in demographic and health surveys</article-title><source>Int J Epidemiol</source><year>2008</year><volume>37</volume><issue>1</issue><fpage>194</fpage><lpage>200</lpage><pub-id pub-id-type="doi">10.1093/ije/dym202</pub-id><pub-id pub-id-type="pmid">17911149</pub-id></element-citation></ref><ref id="CR61"><label>61.</label><mixed-citation publication-type="other">NACOSTI: Guidelines for Ethical conduct of research involving human subjects in Kenya. In: National Commission for Science TaIN, editors; 2015.</mixed-citation></ref></ref-list></back></article>