Unintended pregnancy and its correlates among currently pregnant women in the Kwango District, Democratic Republic of the Congo
Identifieur interne : 000973 ( Pmc/Corpus ); précédent : 000972; suivant : 000974Unintended pregnancy and its correlates among currently pregnant women in the Kwango District, Democratic Republic of the Congo
Auteurs : Sarita Dhakal ; Jin Sung Song ; Dong Eun Shin ; Tae Ho Lee ; Ae Young So ; Eun Woo NamSource :
- Reproductive Health [ 1742-4755 ] ; 2016.
Abstract
Unintended pregnancy is an important reproductive health problem in both developed and developing countries and is most prominent in low-middle income countries. In the Democratic Republic of the Congo, the total fertility rate is high at 5.9 births per women, and a mother’s probabily of dying at an age between 15–49 years is also high (53 %). Women with unintended pregnancies are less likely to utilize available necessary services for their own health and the health of their children. Therefore, unintended pregnancy is a crucial factor of maternal health in the Democratic Republic of the Congo. This study aims to identify the prevalence of unintended pregnancy and its associated factors in the Democratic Republic of the Congo.
Data were collected from June 20 to 29, 2014 among women aged 15–49 years who had children younger than 5 years old. The women were from a representative sample of 602 households. Multiple logistic regression analysis was performed to evaluate the associations between the dependent variable and the explanatory variables.
Unintended pregnancy was reported in 51.4 % of the respondents. Multivariate logistic regression showed an association between education status (AOR, 3.4; CI, 1.21–9.90) and age of the last child (AOR, 5.17; CI, 1.23–21.70) with an unintended pregnancy. Unintended pregnancies were low among women who owner a cell phone (AOR, 0.18; CI, 0.47–0.73) and those who were aware of family planning method (AOR 0.20; CI, 0.06–0.60).
The unintended pregnancy rate high and was significantly associated with female education, previous use of family planning methods, ownership of cell phone, and age of the last child. Maternal health interventions should focus on increasing family planning service utilization, awareness of family planning, and access to communication and income.
Url:
DOI: 10.1186/s12978-016-0195-z
PubMed: 27305901
PubMed Central: 4910199
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PMC:4910199Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Unintended pregnancy and its correlates among currently pregnant women in the Kwango District, Democratic Republic of the Congo</title><author><name sortKey="Dhakal, Sarita" sort="Dhakal, Sarita" uniqKey="Dhakal S" first="Sarita" last="Dhakal">Sarita Dhakal</name><affiliation><nlm:aff id="Aff1">Yonsei Global Health Center, Yonsei University, Wonju, Gangwon-do Korea</nlm:aff></affiliation><affiliation><nlm:aff id="Aff2">Department of Health Administration, Graduate School, Yonsei University, Wonju, Korea</nlm:aff></affiliation><affiliation><nlm:aff id="Aff3">Institite for Poverty Alleviation and International Development (IPAID), Yonsei University, Wonju, Korea</nlm:aff></affiliation></author><author><name sortKey="Song, Jin Sung" sort="Song, Jin Sung" uniqKey="Song J" first="Jin Sung" last="Song">Jin Sung Song</name><affiliation><nlm:aff id="Aff1">Yonsei Global Health Center, Yonsei University, Wonju, Gangwon-do Korea</nlm:aff></affiliation><affiliation><nlm:aff id="Aff2">Department of Health Administration, Graduate School, Yonsei University, Wonju, Korea</nlm:aff></affiliation></author><author><name sortKey="Shin, Dong Eun" sort="Shin, Dong Eun" uniqKey="Shin D" first="Dong Eun" last="Shin">Dong Eun Shin</name><affiliation><nlm:aff id="Aff1">Yonsei Global Health Center, Yonsei University, Wonju, Gangwon-do Korea</nlm:aff></affiliation><affiliation><nlm:aff id="Aff2">Department of Health Administration, Graduate School, Yonsei University, Wonju, Korea</nlm:aff></affiliation></author><author><name sortKey="Lee, Tae Ho" sort="Lee, Tae Ho" uniqKey="Lee T" first="Tae Ho" last="Lee">Tae Ho Lee</name><affiliation><nlm:aff id="Aff1">Yonsei Global Health Center, Yonsei University, Wonju, Gangwon-do Korea</nlm:aff></affiliation><affiliation><nlm:aff id="Aff2">Department of Health Administration, Graduate School, Yonsei University, Wonju, Korea</nlm:aff></affiliation></author><author><name sortKey="So, Ae Young" sort="So, Ae Young" uniqKey="So A" first="Ae Young" last="So">Ae Young So</name><affiliation><nlm:aff id="Aff4">Department of Nursing, Gangneung-Wonju National University, Wonju, Korea</nlm:aff></affiliation></author><author><name sortKey="Nam, Eun Woo" sort="Nam, Eun Woo" uniqKey="Nam E" first="Eun Woo" last="Nam">Eun Woo Nam</name><affiliation><nlm:aff id="Aff1">Yonsei Global Health Center, Yonsei University, Wonju, Gangwon-do Korea</nlm:aff></affiliation><affiliation><nlm:aff id="Aff2">Department of Health Administration, Graduate School, Yonsei University, Wonju, Korea</nlm:aff></affiliation><affiliation><nlm:aff id="Aff3">Institite for Poverty Alleviation and International Development (IPAID), Yonsei University, Wonju, Korea</nlm:aff></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">27305901</idno><idno type="pmc">4910199</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4910199</idno><idno type="RBID">PMC:4910199</idno><idno type="doi">10.1186/s12978-016-0195-z</idno><date when="2016">2016</date><idno type="wicri:Area/Pmc/Corpus">000973</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000973</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Unintended pregnancy and its correlates among currently pregnant women in the Kwango District, Democratic Republic of the Congo</title><author><name sortKey="Dhakal, Sarita" sort="Dhakal, Sarita" uniqKey="Dhakal S" first="Sarita" last="Dhakal">Sarita Dhakal</name><affiliation><nlm:aff id="Aff1">Yonsei Global Health Center, Yonsei University, Wonju, Gangwon-do Korea</nlm:aff></affiliation><affiliation><nlm:aff id="Aff2">Department of Health Administration, Graduate School, Yonsei University, Wonju, Korea</nlm:aff></affiliation><affiliation><nlm:aff id="Aff3">Institite for Poverty Alleviation and International Development (IPAID), Yonsei University, Wonju, Korea</nlm:aff></affiliation></author><author><name sortKey="Song, Jin Sung" sort="Song, Jin Sung" uniqKey="Song J" first="Jin Sung" last="Song">Jin Sung Song</name><affiliation><nlm:aff id="Aff1">Yonsei Global Health Center, Yonsei University, Wonju, Gangwon-do Korea</nlm:aff></affiliation><affiliation><nlm:aff id="Aff2">Department of Health Administration, Graduate School, Yonsei University, Wonju, Korea</nlm:aff></affiliation></author><author><name sortKey="Shin, Dong Eun" sort="Shin, Dong Eun" uniqKey="Shin D" first="Dong Eun" last="Shin">Dong Eun Shin</name><affiliation><nlm:aff id="Aff1">Yonsei Global Health Center, Yonsei University, Wonju, Gangwon-do Korea</nlm:aff></affiliation><affiliation><nlm:aff id="Aff2">Department of Health Administration, Graduate School, Yonsei University, Wonju, Korea</nlm:aff></affiliation></author><author><name sortKey="Lee, Tae Ho" sort="Lee, Tae Ho" uniqKey="Lee T" first="Tae Ho" last="Lee">Tae Ho Lee</name><affiliation><nlm:aff id="Aff1">Yonsei Global Health Center, Yonsei University, Wonju, Gangwon-do Korea</nlm:aff></affiliation><affiliation><nlm:aff id="Aff2">Department of Health Administration, Graduate School, Yonsei University, Wonju, Korea</nlm:aff></affiliation></author><author><name sortKey="So, Ae Young" sort="So, Ae Young" uniqKey="So A" first="Ae Young" last="So">Ae Young So</name><affiliation><nlm:aff id="Aff4">Department of Nursing, Gangneung-Wonju National University, Wonju, Korea</nlm:aff></affiliation></author><author><name sortKey="Nam, Eun Woo" sort="Nam, Eun Woo" uniqKey="Nam E" first="Eun Woo" last="Nam">Eun Woo Nam</name><affiliation><nlm:aff id="Aff1">Yonsei Global Health Center, Yonsei University, Wonju, Gangwon-do Korea</nlm:aff></affiliation><affiliation><nlm:aff id="Aff2">Department of Health Administration, Graduate School, Yonsei University, Wonju, Korea</nlm:aff></affiliation><affiliation><nlm:aff id="Aff3">Institite for Poverty Alleviation and International Development (IPAID), Yonsei University, Wonju, Korea</nlm:aff></affiliation></author></analytic><series><title level="j">Reproductive Health</title><idno type="eISSN">1742-4755</idno><imprint><date when="2016">2016</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><sec><title>Background</title><p>Unintended pregnancy is an important reproductive health problem in both developed and developing countries and is most prominent in low-middle income countries. In the Democratic Republic of the Congo, the total fertility rate is high at 5.9 births per women, and a mother’s probabily of dying at an age between 15–49 years is also high (53 %). Women with unintended pregnancies are less likely to utilize available necessary services for their own health and the health of their children. Therefore, unintended pregnancy is a crucial factor of maternal health in the Democratic Republic of the Congo. This study aims to identify the prevalence of unintended pregnancy and its associated factors in the Democratic Republic of the Congo.</p></sec><sec><title>Methods</title><p>Data were collected from June 20 to 29, 2014 among women aged 15–49 years who had children younger than 5 years old. The women were from a representative sample of 602 households. Multiple logistic regression analysis was performed to evaluate the associations between the dependent variable and the explanatory variables.</p></sec><sec><title>Results</title><p>Unintended pregnancy was reported in 51.4 % of the respondents. Multivariate logistic regression showed an association between education status (AOR, 3.4; CI, 1.21–9.90) and age of the last child (AOR, 5.17; CI, 1.23–21.70) with an unintended pregnancy. Unintended pregnancies were low among women who owner a cell phone (AOR, 0.18; CI, 0.47–0.73) and those who were aware of family planning method (AOR 0.20; CI, 0.06–0.60).</p></sec><sec><title>Conclusion</title><p>The unintended pregnancy rate high and was significantly associated with female education, previous use of family planning methods, ownership of cell phone, and age of the last child. Maternal health interventions should focus on increasing family planning service utilization, awareness of family planning, and access to communication and income.</p></sec></div></front><back><div1 type="bibliography"><listBibl><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct></biblStruct><biblStruct><analytic><author><name sortKey="Children, R" uniqKey="Children R">R Children</name></author><author><name sortKey="Backgrounders, Y" uniqKey="Backgrounders Y">Y Backgrounders</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Barrett, G" uniqKey="Barrett G">G Barrett</name></author><author><name sortKey="Wellings, K" uniqKey="Wellings K">K Wellings</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Santelli, J" uniqKey="Santelli J">J Santelli</name></author></analytic></biblStruct><biblStruct></biblStruct><biblStruct><analytic><author><name sortKey="Petersen, R" uniqKey="Petersen R">R 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uniqKey="Hussain R">R Hussain</name></author></analytic></biblStruct><biblStruct></biblStruct><biblStruct><analytic><author><name sortKey="Faye, Cm" uniqKey="Faye C">CM Faye</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Hamadela, B" uniqKey="Hamadela B">B Hamadela</name></author><author><name sortKey="Tizta, T" uniqKey="Tizta T">T Tizta</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Adhikari, R" uniqKey="Adhikari R">R Adhikari</name></author><author><name sortKey="Kusol, S" uniqKey="Kusol S">S Kusol</name></author><author><name sortKey="Pramote, P" uniqKey="Pramote P">P Pramote</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Exavery, A" uniqKey="Exavery A">A Exavery</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Sarmad, R" uniqKey="Sarmad R">R Sarmad</name></author><author><name sortKey="Shamim, A" uniqKey="Shamim A">A Shamim</name></author><author><name sortKey="Shaheena, M" uniqKey="Shaheena M">M Shaheena</name></author></analytic></biblStruct><biblStruct></biblStruct><biblStruct><analytic><author><name sortKey="Dibaba, Y" uniqKey="Dibaba Y">Y Dibaba</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Mukaba, T" uniqKey="Mukaba T">T Mukaba</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Dixit, P" uniqKey="Dixit P">P Dixit</name></author><author><name sortKey="Ram, F" uniqKey="Ram F">F Ram</name></author><author><name sortKey="Dwivedi, Lk" uniqKey="Dwivedi L">LK Dwivedi</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Luker, Kc" uniqKey="Luker K">KC Luker</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Kassa, N" uniqKey="Kassa N">N Kassa</name></author><author><name sortKey="Berhane, Y" uniqKey="Berhane Y">Y Berhane</name></author><author><name sortKey="Worku, A" 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<front><journal-meta><journal-id journal-id-type="nlm-ta">Reprod Health</journal-id><journal-id journal-id-type="iso-abbrev">Reprod Health</journal-id><journal-title-group><journal-title>Reproductive Health</journal-title></journal-title-group><issn pub-type="epub">1742-4755</issn><publisher><publisher-name>BioMed Central</publisher-name><publisher-loc>London</publisher-loc></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">27305901</article-id><article-id pub-id-type="pmc">4910199</article-id><article-id pub-id-type="publisher-id">195</article-id><article-id pub-id-type="doi">10.1186/s12978-016-0195-z</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research</subject></subj-group></article-categories><title-group><article-title>Unintended pregnancy and its correlates among currently pregnant women in the Kwango District, Democratic Republic of the Congo</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>Dhakal</surname><given-names>Sarita</given-names></name><address><email>saritadhakal1234@gmail.com</email></address><xref ref-type="aff" rid="Aff1"></xref><xref ref-type="aff" rid="Aff2"></xref><xref ref-type="aff" rid="Aff3"></xref></contrib><contrib contrib-type="author"><name><surname>Song</surname><given-names>Jin Sung</given-names></name><address><email>arbor84@gmail.com</email></address><xref ref-type="aff" rid="Aff1"></xref><xref ref-type="aff" rid="Aff2"></xref></contrib><contrib contrib-type="author"><name><surname>Shin</surname><given-names>Dong Eun</given-names></name><address><email>adel0408@hanmail.net</email></address><xref ref-type="aff" rid="Aff1"></xref><xref ref-type="aff" rid="Aff2"></xref></contrib><contrib contrib-type="author"><name><surname>Lee</surname><given-names>Tae Ho</given-names></name><address><email>leetaeh5@naver.com</email></address><xref ref-type="aff" rid="Aff1"></xref><xref ref-type="aff" rid="Aff2"></xref></contrib><contrib contrib-type="author"><name><surname>So</surname><given-names>Ae Young</given-names></name><address><email>aeyoung@gwnu.ac.kr</email></address><xref ref-type="aff" rid="Aff4"></xref></contrib><contrib contrib-type="author" corresp="yes"><name><surname>Nam</surname><given-names>Eun Woo</given-names></name><address><phone>82-33-760-2413</phone><fax>82-33-762-9562</fax><email>ewnam@yonsei.ac.kr</email></address><xref ref-type="aff" rid="Aff1"></xref><xref ref-type="aff" rid="Aff2"></xref><xref ref-type="aff" rid="Aff3"></xref></contrib><aff id="Aff1"><label></label>Yonsei Global Health Center, Yonsei University, Wonju, Gangwon-do Korea</aff><aff id="Aff2"><label></label>Department of Health Administration, Graduate School, Yonsei University, Wonju, Korea</aff><aff id="Aff3"><label></label>Institite for Poverty Alleviation and International Development (IPAID), Yonsei University, Wonju, Korea</aff><aff id="Aff4"><label></label>Department of Nursing, Gangneung-Wonju National University, Wonju, Korea</aff></contrib-group><pub-date pub-type="epub"><day>16</day><month>6</month><year>2016</year></pub-date><pub-date pub-type="pmc-release"><day>16</day><month>6</month><year>2016</year></pub-date><pub-date pub-type="collection"><year>2016</year></pub-date><volume>13</volume><elocation-id>74</elocation-id><history><date date-type="received"><day>11</day><month>11</month><year>2015</year></date><date date-type="accepted"><day>8</day><month>6</month><year>2016</year></date></history><permissions><copyright-statement>© The Author(s). 2016</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>Unintended pregnancy is an important reproductive health problem in both developed and developing countries and is most prominent in low-middle income countries. In the Democratic Republic of the Congo, the total fertility rate is high at 5.9 births per women, and a mother’s probabily of dying at an age between 15–49 years is also high (53 %). Women with unintended pregnancies are less likely to utilize available necessary services for their own health and the health of their children. Therefore, unintended pregnancy is a crucial factor of maternal health in the Democratic Republic of the Congo. This study aims to identify the prevalence of unintended pregnancy and its associated factors in the Democratic Republic of the Congo.</p></sec><sec><title>Methods</title><p>Data were collected from June 20 to 29, 2014 among women aged 15–49 years who had children younger than 5 years old. The women were from a representative sample of 602 households. Multiple logistic regression analysis was performed to evaluate the associations between the dependent variable and the explanatory variables.</p></sec><sec><title>Results</title><p>Unintended pregnancy was reported in 51.4 % of the respondents. Multivariate logistic regression showed an association between education status (AOR, 3.4; CI, 1.21–9.90) and age of the last child (AOR, 5.17; CI, 1.23–21.70) with an unintended pregnancy. Unintended pregnancies were low among women who owner a cell phone (AOR, 0.18; CI, 0.47–0.73) and those who were aware of family planning method (AOR 0.20; CI, 0.06–0.60).</p></sec><sec><title>Conclusion</title><p>The unintended pregnancy rate high and was significantly associated with female education, previous use of family planning methods, ownership of cell phone, and age of the last child. Maternal health interventions should focus on increasing family planning service utilization, awareness of family planning, and access to communication and income.</p></sec></abstract><kwd-group xml:lang="en"><title>Keywords</title><kwd>Unintended pregnancy</kwd><kwd>Reproductive age women</kwd><kwd>DR Congo</kwd></kwd-group><funding-group><award-group><funding-source><institution>National Research Foundation of Korea Grant</institution></funding-source><award-id>NRF-2013S1A01055336</award-id></award-group></funding-group><custom-meta-group><custom-meta><meta-name>issue-copyright-statement</meta-name><meta-value>© The Author(s) 2016</meta-value></custom-meta></custom-meta-group></article-meta></front><body><sec id="Sec1" sec-type="introduction"><title>Background</title><p>The Democratic Republic of the Congo (DRC) faced four decades of war and conflict, which had many repercussions on societal and economic development. Approximately 40 % of the population, nearly 70 million inhabitants, lives in urban areas according to the latest NSI (National Statistics Institute) estimate [<xref ref-type="bibr" rid="CR1">1</xref>]. Despite an impressive economic growth rate and a reduction in the poverty rate from 71 % to 63 % between 2005 and 2012, the poverty rate remains high [<xref ref-type="bibr" rid="CR2">2</xref>]. The country ranks second to last on the Human Development Index (186 out of 187 countries) [<xref ref-type="bibr" rid="CR3">3</xref>] and its per capita income is very low. More than 70 % of Congolese citizens earn less than $ 1 a day, which is among the lowest in the world. There are 200–250 ethnic groups each with a unique language or dialect and customs [<xref ref-type="bibr" rid="CR4">4</xref>].</p><p>An unintended pregnancy is one which is either mistimed (i.e., occurred earlier than desired) or unwanted (i.e., occurred when no children or no more children were desired) [<xref ref-type="bibr" rid="CR5">5</xref>]. It is a complex issue not only due to individual behavior, but is also aided by also public policy and institutional practices [<xref ref-type="bibr" rid="CR6">6</xref>].</p><p>According to the Demographic Health Survey of the DRC, the maternal mortality ratio was 846/100,000 live births, and women of reproductive age are at have a1 in 18 risk of dying from maternal causes [<xref ref-type="bibr" rid="CR7">7</xref>]. Unintended pregnancies continue to be a problem in developing and developed countries [<xref ref-type="bibr" rid="CR8">8</xref>]. One of the consequences of unintended pregnancy is an increase in the rate of induced abortions, which is more problematic in countries where abortion is illegal [<xref ref-type="bibr" rid="CR9">9</xref>, <xref ref-type="bibr" rid="CR10">10</xref>]. Because DRC is a country where abortion is not legal access to safe abortion services is very difficult. The country completely prohibits abortion, so there is no legal exception to save the life the mother [<xref ref-type="bibr" rid="CR11">11</xref>, <xref ref-type="bibr" rid="CR12">12</xref>]. Unintended pregnancy is an important public health issue in developed and developing countries due to negative associations with the social and health outcomes of both the mother and child [<xref ref-type="bibr" rid="CR13">13</xref>–<xref ref-type="bibr" rid="CR15">15</xref>]. Compared to intended pregnancies, mothers with an unintended pregnancy utilize less and delay prenatal and postnatal care [<xref ref-type="bibr" rid="CR16">16</xref>, <xref ref-type="bibr" rid="CR17">17</xref>]; breastfeed for a shorter duration; have poorer personal hygiene; and have higher rates of risky behavior such as smoking, drinking alcohol, and drug abuse during pregnancy. Children born after an unintended pregnancy are also more likely to have poor nutrition, a lower birth weight, incomplete vaccinations, and a higher incidence of illness compared to those of intended pregnancies [<xref ref-type="bibr" rid="CR18">18</xref>, <xref ref-type="bibr" rid="CR19">19</xref>].</p><p>The purpose of this study is to examine the current incidence of unintended pregnancies among women of reproductive age in Kenge and Boko, DRC, and to explore the factors associated with unintended pregnancies.</p></sec><sec id="Sec2" sec-type="materials|methods"><title>Method</title><p>This study utilizes baseline household survey data for the Maternal and Child Health Project of the DRC. Representative sample is calculated by using “Raosoft” [<xref ref-type="bibr" rid="CR20">20</xref>]. Considering total population (309,468), margin of error of 5 % and the response distribution of 50 %, the sample size will be 384. So, 602 household were selected and in these households, 754 respondents (women of reproductive age) were selected. Out of all the respondents, currently pregnant (105) were selected. A multistage sampling technique was used to select 754 respondents. At each health zone (Kenge and Boko), 24 health areas were selected. At each health area, villages were grouped into three strata: near villages (within 5 km from the health center) average villages (located between 5 and 10 km from the health center) and remote villages (located more than 10 km from the health center). The study was conducted in three villages including one in each stratum. The number of households per village was proportional to the population size of each stratum. In each village, households were selected random walk from a single entry point of the village. This entry point was selected by simple random sampling. Data representing women aged 15–49 years with children younger than 5 years old were collected from a representative sample of 602 households through collaboration with the Korea International Cooperation Agency (KOICA) from June 20 to 29, 2014. Among 754 respondents, only currently pregnant women (105) were selected for this study. The collected information included: household information on socio-demographics, water and sanitation, handwashing practices, access to mass media and use of information/communication technology, recognition of Maternal and Child Health (MCH) services, fertility, birth history, maternal and newborn health, HIV/AIDS, self-perceived health, post-natal health checks and contraceptive use. In every respondent’s residence, a face-to-face interview to complete a questionnaire was conducted by team of School of Public Health, Kinshasa University and Yonsei Global Health Center, Korea. Each interview lasted approximately one hour. Ethical approval for this study was obtained from the Institutional Review Board of Wonju Campus, Yonsei University (1041849–201406-BM-027–01) and the local DRC government. Informed consent was obtained from individual participants.</p><p>Statistical analysis including the Chi-square test and logistic regression analysis was performed using SPSS (version 21.0). The main outcome (variable) of this study is the intention of the pregnancy. Currently pregnant women were asked if their pregnancy was intended or unintended. The variable was coded as “1” if the pregnancy was unintended and as “0” if it was intended. A breakdown of the study sample population is shown in Fig. <xref rid="Fig1" ref-type="fig">1</xref>.<fig id="Fig1"><label>Fig. 1</label><caption><p>Study sample population</p></caption><graphic xlink:href="12978_2016_195_Fig1_HTML" id="MO1"></graphic></fig></p></sec><sec id="Sec3" sec-type="results"><title>Results</title><sec id="Sec4"><title>Characteristics of the study subjects</title><p>A total of 754 women of reproductive age from 602 households were considered for this study. The general characteristics and pregnancy intentions of the study subjects are presented in Table <xref rid="Tab1" ref-type="table">1</xref>. The majority of households (75 %) were categorized as having a low monthly family income of 0.5 to 53 US dollars per month. Education status was divided into two categories: 60.2 were uneducated and 38.8 % were educated. A total of 52.1 % respondents reported that their health facility is located within 5 km from their home and the remaining 47.9 % reported that the distance to the nearest health facility was more than 5 km from their residence. An average of 1.2 women of reproductive age was living in each household. Out of the 754 reproductive age women in the sampled household 13.92 % were currently pregnant; among these pregnancies, 51.4 % were unintended and the remaining 48.6 % (<italic>n</italic> = 51) were intended pregnancy. The highest proportion of unintended pregnancies (<italic>n</italic> = 31, 43.4 %) was observed in the 25–35 age group, which accounted for 60.4 % of the total unintended pregnancies. Additionally, 63 (60 %) pregnant women were educated, while 42 (40 %) were uneducated. The unintended pregnancy rate among the educated women was 60.3 %, which was 1.6 times higher than in uneducated women. The unintended pregnancy rate was lower in the women who were aware of family planning or used contraceptives.<table-wrap id="Tab1"><label>Table 1</label><caption><p>Characteristics of the study population (n: 105)</p></caption><table frame="hsides" rules="groups"><thead><tr><th>Variables</th><th>Unintended pregnancy [n (%)]</th><th>Intended pregnancy [n (%)]</th><th>Total [n (%)]</th><th><italic>X</italic><sup>2</sup></th><th><italic>P</italic>-value</th></tr></thead><tbody><tr><td>Reproductive age women</td><td></td><td></td><td>745</td><td></td><td></td></tr><tr><td>Pregnancy status</td><td>54 (51.4)</td><td>51 (48.6)</td><td>105(13.92)</td><td>-</td><td>-</td></tr><tr><td colspan="6">Age (in years)</td></tr><tr><td> 15–24</td><td>12 (41.4)</td><td>17 (58.6)</td><td>29 (30.2)</td><td>1.975</td><td>0.373</td></tr><tr><td> 25–35</td><td>31 (53.4)</td><td>27 (46.6)</td><td>58 (60.4)</td><td></td><td></td></tr><tr><td> 35–49</td><td>3 (33.3)</td><td>6 (66.7)</td><td>9 (9.4)</td><td></td><td></td></tr><tr><td colspan="6">Income level (US$)</td></tr><tr><td> Less than $53</td><td>39 (50.6)</td><td>38 (49.4)</td><td>77 (73.3)</td><td>5.857</td><td>0.053</td></tr><tr><td> $54–106</td><td>6 (35.3)</td><td>11 (64.7)</td><td>17 (16.9)</td><td></td><td></td></tr><tr><td> More than $107</td><td>9 (81.8)</td><td>2 (18.2)</td><td>11 (10.4)</td><td></td><td></td></tr><tr><td colspan="6">Educational status</td></tr><tr><td> Educated</td><td>38 (60.3)</td><td>25 (39.7)</td><td>63 (60.0)</td><td>4.982</td><td>0.026</td></tr><tr><td> Uneducated</td><td>16 (38.1)</td><td>26 (61.9)</td><td>42 (40.0)</td><td></td><td></td></tr><tr><td colspan="6">Distance to health facility</td></tr><tr><td> Up to 5 km</td><td>28 (54.9)</td><td>23 (45.1)</td><td>51 (48.6)</td><td>0.479</td><td>0.489</td></tr><tr><td> More than 5 km</td><td>26 (48.1)</td><td>28 (51.9)</td><td>54 (48.6)</td><td></td><td></td></tr><tr><td colspan="6">Age of the last child</td></tr><tr><td> 1–2 years</td><td>20 (62.5)</td><td>12 (37.5)</td><td>32 (31.1)</td><td>6.320</td><td>0.042</td></tr><tr><td> 3 years</td><td>25 (55.6)</td><td>20 (44.4)</td><td>45 (43.7)</td><td></td><td></td></tr><tr><td> More than 3 years</td><td>8 (30.8)</td><td>18 (69.2)</td><td>26 (25.2)</td><td></td><td></td></tr><tr><td colspan="6">Family size</td></tr><tr><td> 1–4</td><td>21 (39.6)</td><td>32 (60.4)</td><td>53 (50.5)</td><td>5.971</td><td>0.015</td></tr><tr><td> 5 or more</td><td>33 (63.5)</td><td>19 (36.5)</td><td>52 (49.5)</td><td></td><td></td></tr><tr><td colspan="6">Ownership of a cell phone</td></tr><tr><td> Yes</td><td>7 (29.2)</td><td>17 (70.8)</td><td>24 (22.9)</td><td>6.172</td><td>0.013</td></tr><tr><td> No</td><td>47 (58.0)</td><td>34 (42.0)</td><td>81 (77.1)</td><td></td><td></td></tr></tbody></table></table-wrap></p></sec><sec id="Sec5"><title>Contraceptive use</title><p>Table <xref rid="Tab2" ref-type="table">2</xref> shows the results regarding contraceptive use. A total of 44.8 % of subjects reported that they usually use a family planning (FP) method. Of note, the use of a family planning method is gradually increasing in DRC. In this study, 49.5 % of women reported recent used family planning (FP) method (before being pregnant), whereas 50.5 % reported not utilizing any family planning method. In reproductive age women using FP method, 43.6 % were utilizing temporary methods and 56.4 % were utilizing natural methods.<table-wrap id="Tab2"><label>Table 2</label><caption><p>Use of family planning methods</p></caption><table frame="hsides" rules="groups"><thead><tr><th>Variables</th><th>Unintended pregnancy [n (%)]</th><th>Intended pregnancy [n (%)]</th><th>Total [n (%)]</th></tr></thead><tbody><tr><td colspan="4">Ever used family planning</td></tr><tr><td> Yes</td><td>15 (34.9)</td><td>28 (65.1)</td><td>43 (44.8)</td></tr><tr><td> No</td><td>34 (64.2)</td><td>19 (35.8)</td><td>53 (55.2)</td></tr><tr><td colspan="4">Recent user of family planning</td></tr><tr><td> Yes</td><td>15 (30.0)</td><td>35 (70.0)</td><td>50 (49.5)</td></tr><tr><td> No</td><td>36 (70.6)</td><td>15 (29.4)</td><td>51(50.5)</td></tr><tr><td colspan="4">Preferred family planning method</td></tr><tr><td> Temporary</td><td>10 (41.7)</td><td>14 (58.3)</td><td>24 (43.6)</td></tr><tr><td> Natural</td><td>10 (32.3)</td><td>21 (67.7)</td><td>31(56.4)</td></tr></tbody></table><table-wrap-foot><p>Natural methods: lactational amenorrhea, periodic abstinence/rhythm, withdrawal</p></table-wrap-foot></table-wrap></p></sec><sec id="Sec6"><title>Factors related to unintended pregnancy</title><p>Bivariate analysis including the unadjusted odds ratio (OR) are shown in Table <xref rid="Tab3" ref-type="table">3</xref>. Only four factors were associated with unintended pregnancies: education status (AOR, 3.4; CI, 1.21–9.90), age of the last child (AOR, 5.17; CI, 1.23–21.70), ownership of a cell phone (AOR, 0.18; CI, 0.47–0.73), and ever used of a family planning method (AOR, 0.20; CI, 0.06–0.60).<table-wrap id="Tab3"><label>Table 3</label><caption><p>Factors related to unintended pregnancy</p></caption><table frame="hsides" rules="groups"><thead><tr><th>Variables</th><th>Crude OR (95%CI)</th><th>P value</th><th>Adjusted<sup>a</sup> OR (95%CI)</th><th><italic>P</italic> value</th></tr></thead><tbody><tr><td colspan="5">Age (in years)</td></tr><tr><td> 15–24</td><td>0.70 (0.14–3.40)</td><td>0.667</td><td></td><td></td></tr><tr><td> 25–35</td><td>0.43 (0.09–1.91)</td><td>0.271</td><td></td><td></td></tr><tr><td> 36–49</td><td>1</td><td></td><td></td><td></td></tr><tr><td colspan="5">Income</td></tr><tr><td> Less than $53</td><td>0.22(0.04–1.12)</td><td>0.069</td><td>0.17(0.025–1.24)</td><td>0.082</td></tr><tr><td> $54–107</td><td>0.12(0.02–0.75)</td><td>0.024</td><td>0.12(0.13–1.19)</td><td>0.125</td></tr><tr><td> More than $54</td><td>1</td><td></td><td>1</td><td></td></tr><tr><td colspan="5">Education status</td></tr><tr><td> Educated</td><td>2.47 (1.10–5.50)</td><td>0.027</td><td>3.4 (1.21–9.90)</td><td>0.021</td></tr><tr><td> Uneducated</td><td>1</td><td></td><td></td><td></td></tr><tr><td colspan="5">Distance to health facility</td></tr><tr><td> Up to 5 km</td><td>1.31 (0.60–2.82)</td><td>0.489</td><td></td><td></td></tr><tr><td> More than 5 km</td><td>1</td><td></td><td></td><td></td></tr><tr><td colspan="5">Age of the last child</td></tr><tr><td> 1–2 years</td><td>3.75 (1.25–11.24)</td><td>0.018</td><td>5.17 (1.23–21.70)</td><td>0.025</td></tr><tr><td> 3 years</td><td>2.81 (1.01–7.79)</td><td>0.047</td><td>2.92 (0.78–10.90)</td><td>0.11</td></tr><tr><td> More than 3 years</td><td>1</td><td></td><td>1</td><td></td></tr><tr><td colspan="5">Family size</td></tr><tr><td> 1–4</td><td>0.37 (0.17–0.83)</td><td>0.016</td><td>1.82 (0.66–5.03)</td><td>0.24</td></tr><tr><td> 5 and more</td><td>1</td><td></td><td>1</td><td></td></tr><tr><td colspan="5">Ownership of a cell phone</td></tr><tr><td> Yes</td><td>0.29 (0.11–0.79)</td><td>0.016</td><td>0.18 (0.47–0.73)</td><td>0.016</td></tr><tr><td> No</td><td>1</td><td></td><td>1</td><td></td></tr><tr><td colspan="5">Ever used family planning method</td></tr><tr><td> Yes</td><td>0.29 (0.19–0.69)</td><td>0.005</td><td>0.20 (0.06–0.60)</td><td>0.004</td></tr><tr><td> No</td><td>1</td><td></td><td>1</td><td></td></tr></tbody></table><table-wrap-foot><p><sup>a</sup>Variables entered were income status, education status, age of the last child, family size, ownership of a cell phone, and ever use of a family planning method. Hosmer and Lemeshow value: Chi-square = 4.961, <italic>P</italic> = 0.762, and Nagelkerke R = 0.419</p></table-wrap-foot></table-wrap></p></sec></sec><sec id="Sec7" sec-type="discussion"><title>Discussion</title><p>This study aimed to identify the prevalence and related factors of unintended pregnancy in the DRC. More than half (51.4 %) of the pregnancies in the country based on this study sample were unintended. This rate is higher in comparison to rates reported for other developing countries in previous studies. For example, unintended pregnancy rate were 28 in Nigeria [<xref ref-type="bibr" rid="CR21">21</xref>], 28.2 in Iran [<xref ref-type="bibr" rid="CR22">22</xref>], 14.3 in Senegal [<xref ref-type="bibr" rid="CR23">23</xref>], 34 in Ethiopia [<xref ref-type="bibr" rid="CR24">24</xref>], 41 in Nepal [<xref ref-type="bibr" rid="CR25">25</xref>], and 54.1 % in Tanzania [<xref ref-type="bibr" rid="CR26">26</xref>]. In Nigeria, married women were less likely to have an unintended pregnancy, however women with 3 or more children, who were Catholic and Muslim, and those with a low socioeconomic status had a higher probability of having an unintended pregnancy. An unintended pregnancy in Iran was positively associated with women’s age and negatively associated with contraceptive use. Studies in Senegal demonstrated that low socioeconomic status less involvement of married women on joint decision making with their partner (i.e., management of financial resources) and use of family planning are associated with a higher prevalence of unintended pregnancies. Similar results were found in a study conducted in Ethiopia; a history of previous unintended pregnancy, a husband who did not want to limit the family size, a desire for at least two children, 3–4 pregnancies, and parity of 5 or more were factors significantly associated with unintended pregnancy. In Tanzania, women aged less than 20 years who did not want to get pregnant and who lacked inter-partner communication about FP had increased risk of mistimed pregnancy, and the unintended pregnancy rate was also high among multigravida women.</p><p>In the present study, bivariate analysis showed that variables such as education status, age of the last child, family size, ownership of a cell phone, and past use of contraception were important factors in the likelihood of an unintended pregnancy. Multivariate analysis supported some of the findings of the bivariate analysis. In multivariate analysis, education status, age of the last child, ownership of a cell phone, and ever used of family planning method were found to have a statistically significant influence on unintended pregnancy.</p><p>Educated women in the present study had a higher probability of having an unintended pregnancy in comparison to uneducated women. In contrast, education was not a significant factor of unintended pregnancy in Nepal [<xref ref-type="bibr" rid="CR25">25</xref>]. However, a discussion document from a global consultation on Developing an Education Sector Response to Early and Unintended Pregnancy showed that education plays a crucial role in efforts to decrease unintended pregnancy rates [<xref ref-type="bibr" rid="CR26">26</xref>]. Because the fertility rate is very high (5.9) in the DRC, educated women may consider their pregnancies as unintended in compared to uneducated women because educated women want to limit their family size. A similar result is presented in the Sarmad study which found that a higher education level was associated with a smaller found number of children [<xref ref-type="bibr" rid="CR27">27</xref>] Age of the last child was also found to be related to unintended pregnancy (AOR, 5.17; CI, 1.23–21.70); however, the confidence interval has a wide gap because of the small sample size [<xref ref-type="bibr" rid="CR28">28</xref>]. Comparison to mothers with children 3 years and older, the probability of unintended pregnancy was higher among mothers who had younger children. This finding suggests that women in the study area desire a longer birth interval. A similar result was observed in a study conducted in the Jimma zone of Ethiopia, which showed that a pregnancy was more likely to be unintended in women who had a previous birth interval of less than 24 months (OR, 1.78; 95 % CI,1.19–2.69) [<xref ref-type="bibr" rid="CR29">29</xref>]. In the present study, women who had access to a cell phone were less likely to report an unintended pregnancy. Ownership of a cell phone is a form of access to property and provides a means of communication with family and friends, indicating women empowerment. In this study, we assessed only the overall household income and not the monthly income of the women themselves. The household income showed a significant association with the type of pregnancy, however, the income status was not significantly associated with unintended pregnancy in the multivariate analysis. Previous studies have indicated income as one of the factors influencing utilization services including FP. In fact, FP services are usually provided at free of cost in most developing countries including Congo [<xref ref-type="bibr" rid="CR30">30</xref>]. Based on these results, women who had ever used contraceptives had a lower likelihood of an unintended pregnancy. Similarly, a study conducted in India by Dixit et al. [<xref ref-type="bibr" rid="CR31">31</xref>] indicated that unintended pregnancy is more common among those who have never used FP method. Additionally, family size was a factor influencing unintended pregnancy. A pregnant women with 4 or fewer family members is less likely to report that her unintended pregnancy is unintended as comparison to those with a larger family size. This is good indication that women want to limit their family size [<xref ref-type="bibr" rid="CR32">32</xref>].</p><p>Many previous studies have shown that the age of the woman [<xref ref-type="bibr" rid="CR23">23</xref>], distance to health facilities [<xref ref-type="bibr" rid="CR33">33</xref>], and religion [<xref ref-type="bibr" rid="CR34">34</xref>] are significantly associated with unintended pregnancy. However, in the present study, statistically significant associations were not found between type of pregnancy and age group, religion, or distance to health facilities.</p><p>A lack of contraception is a leading cause of unintended pregnancy. Every year, more than 120 million couples globally have an unmet need for contraception, and 80 million women have an unintended pregnancy [<xref ref-type="bibr" rid="CR35">35</xref>]. Sub-Saharan Africa has the highest percentage of women with unmet reproductive health needs which is approximately one out of every four women [<xref ref-type="bibr" rid="CR36">36</xref>]. A study of physical health experiences of women after birth and abortion of unwanted pregnancy showed that the safety of induced abortion compared to child birth and highlighted the risk of serious morbidity and mortality associated with childbirth [<xref ref-type="bibr" rid="CR37">37</xref>]. A study by Jalay et al., showed that unintended pregnancies are more likely to result in adverse health behaviors [<xref ref-type="bibr" rid="CR14">14</xref>].</p><p>Only a few studies have been conducted relating maternal health outcomes in developing countries. This study may aid in implementation new plan and policy to reduce maternal and child mortality since reducing one unintended pregnancy is equivalent to improving the health of both the mother and child. This study has some without limitation. First, our subject only included women who were currently pregnant at the time of survey, so the result from the experience of unintended pregnancy in women cannot be generalized to the entire population. Next, this is a cross sectional study that uses logistic regression analysis for statistical analysis therefore we cannot claim a cause–effect relationship between the unintended pregnancies and associated factors. Lastly, because of the small sample size classification based on education status, our study subjects are classified as either educated or uneducated.</p></sec><sec id="Sec8" sec-type="conclusion"><title>Conclusion</title><p>The unintended pregnancy rate in reproductive aged, pregnant women of the Kwango District, DRC was very high. This study explored some of the factors associated with unintended pregnancy. Household income level, education of the participants, age of the last child, past use of a FP method, ownership of a cell phone, and family size were significantly associated with an increased likelihood of unintended pregnancy. In conclusion, unintended pregnancy in an area with a high fertility rate and high mortality is a tremendous burden to both women and the country. Unintended pregnancy prevention and intervention should incorporate female education, women’s access to property and income, increased FP counseling and service utilization, child-birth spacing, and education on behavior changes. In conclusion, effective programs such as appropriate counseling should be provided for reproductive age women to increase awareness of unintended pregnancy.</p></sec><sec id="Sec9"><title>Abbreviations</title><p>AOR, Adjusted Odd Ratio; CI, Confidence Interval; DRC, Democratic Republic of the Congo; FP, Family Planning; KOICA, Korea International Cooperation Agency; OR, Odds Ratio</p></sec></body><back><ack><title>Acknowledgement</title><p>We would like to gratefully acknowledge the Korea International Cooperation Agency (KOICA) and a National Research Foundation of Korea grant from the Korean Government (NRF-2013S1A01055336) for the support of this study.</p><sec id="FPar1"><title>Authors’ contributions</title><p>EWN contributed to the conceptualization study design of the manuscript. SD prepared the first version of the manuscript. EWN guided the data analysis and JSS and SD analyzed the data. DES, and THL, contributed to the literature review and manuscript revision. 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