<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">OJOG</journal-id><journal-title-group><journal-title>Open Journal of Obstetrics and Gynecology</journal-title></journal-title-group><issn pub-type="epub">2160-8792</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/ojog.2023.132036</article-id><article-id pub-id-type="publisher-id">OJOG-123432</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Medicine&amp;Healthcare</subject></subj-group></article-categories><title-group><article-title>
 
 
  Family Planning: Choosing Contraceptive Methods in Kongo Central Province, the Democratic Republic of the Congo
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Matondo</surname><given-names>Luzunga Guy Roger</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Lukanu</surname><given-names>Ngwala Philippe</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ngoma</surname><given-names>Miezi Kintaudi</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Minuku</surname><given-names>Kinzonzi Felix</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Kalonji</surname><given-names>Ntumba Albert</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Nsiala</surname><given-names>Kumbu Adrien</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Muaka</surname><given-names>Nsakala Jim</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Lisa</surname><given-names>Mahoya Mangondo</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff2"><addr-line>Family Medicine Department, School of Medicine, Protestant University of Congo, Kinshasa, DR Congo</addr-line></aff><aff id="aff1"><addr-line>Soins de Santé Primaires en Milieu Rural, Kinshasa, DR Congo</addr-line></aff><pub-date pub-type="epub"><day>10</day><month>02</month><year>2023</year></pub-date><volume>13</volume><issue>02</issue><fpage>372</fpage><lpage>382</lpage><history><date date-type="received"><day>18,</day>	<month>December</month>	<year>2022</year></date><date date-type="rev-recd"><day>25,</day>	<month>February</month>	<year>2023</year>	</date><date date-type="accepted"><day>28,</day>	<month>February</month>	<year>2023</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Background:
   In developing countries, access to modern contraceptive methods remains a concern, particularly in Sub-Saharan Africa
   (SSA)
  . Although satisfactory progress in increasing family planning use has been observed worldwide, demand and unmet need continue to grow. This study describes the different reasons that push women in rural and urban areas of Kongo Central province in the Democratic Republic of Congo (DRC) to choose one of the modern contraceptive methods. <b>Methods:</b> A cross-sectional, analytical study on the 705 clients recruited during the family planning mini-campaigns organized from January to March 2021 in 8 health zones of the Kongo Central Province in DRC. Community Contraceptive Methods Distributors (CCMD) collected the data,
   
  community health workers (CHW) trained in clinical providers
  ’
   community family planning service. The Pearson
  ’
  s Chi<sup>2</sup> test was used to compare the proportions of the methods chosen in the different study variables categories, and logistic regression was done to analyze the strength of association between the uses of 
  l
  ong-acting reversible contraceptives (LARC) with the study variables. <b>Results: </b>The mean age (SD) of the clients was 25.7 years. The median number of living children was 2 children and that of pregnancies carried per client was 3. Three (3) clients under the age of 20 out of 126 (2.4%) have 3 to 4 living children and one a up to 6 living children. Out of a total of 705 clients, 11.1% aged under 20 and 39.1% of clients aged 20 to 24 requested LARC. Divorced and unmarried women chose SAC and married and common-law women chose LARC more, compared to other categories of women. Unemployed women prefer SACs more than other professional categories, and women farmers prefer LARC. The level of education has no influence on the choice of method. The use of LARC increased with the number of pregnancies carried, children alive, and children who died. The age and number of children who died did not influence the association between LARC and alive children. <b>Conclusion:</b> The choice of modern contraceptive methods is guided by the age of the mother and the number of children living in her life. Younger women are more likely to choose short-acting contraceptive methods in the eight health zones of Kongo Central province. The high number of living children influences the choice of LARC regardless of age.
 
</p></abstract><kwd-group><kwd>Choice</kwd><kwd> Clients</kwd><kwd> Contraceptive</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Among the priorities to be achieved before 2030 for sustainable development, goal 3 of the 17 global goals aims to reduce the maternal mortality rate below 70 per 100,000 live births and ensure access to health services, sexual and reproductive health care, and family planning [<xref ref-type="bibr" rid="scirp.123432-ref1">1</xref>] .</p><p>This requires accessibility to contractive methods and covering unmet contraceptive needs, especially for poor populations in rural areas, who often present lower contraceptive prevalence than their urban counterparts [<xref ref-type="bibr" rid="scirp.123432-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.123432-ref3">3</xref>] .</p><p>In developing countries, particularly Sub-Saharan Africa (SSA), access to modern contraceptive methods remains a concern. Although satisfactory progress in family planning use has been seen in many countries, demand increases rapidly [<xref ref-type="bibr" rid="scirp.123432-ref1">1</xref>] .</p><p>In developing regions, an estimated 257 million women who want to avoid pregnancy are not using safe and effective family planning methods, for reasons ranging from lack of access to information or services to lack of support from their partners or communities. This threatens their ability to build a better future for themselves, their families and their communities [<xref ref-type="bibr" rid="scirp.123432-ref4">4</xref>] . The proportion of women of reproductive age (15 - 49) using modern family planning methods was 75.7% globally in 2019. Still, less than half of family planning needs were met in Central Africa and West Africa [<xref ref-type="bibr" rid="scirp.123432-ref5">5</xref>] [<xref ref-type="bibr" rid="scirp.123432-ref6">6</xref>] .</p><p>The DRC is one of the most populous countries in SSA. It is characterized by very high maternal mortality rates and a low use rate of modern contraceptive methods. However, an encouraging increase in contraceptive prevalence since 2012 has been observed [<xref ref-type="bibr" rid="scirp.123432-ref7">7</xref>] [<xref ref-type="bibr" rid="scirp.123432-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.123432-ref9">9</xref>] . In its 2014 national strategic plan, the country set the objective to increase the modern contraceptive prevalence estimated at 6.5% in 2013 (5.4% in 2010) to at least 19% by 2020 [<xref ref-type="bibr" rid="scirp.123432-ref10">10</xref>] . Although the modern contraceptive prevalence for all women in this country has to 16.1% [<xref ref-type="bibr" rid="scirp.123432-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.123432-ref12">12</xref>] , much remains.</p><p>A previous study on contraceptive methods carried out in the province of Kongo Central (DRC) showed that women from rural areas, are married and older (over 25 years) tend to choose LARC [<xref ref-type="bibr" rid="scirp.123432-ref3">3</xref>] .</p><p>This study aims to describe the different reasons that push women in rural and urban areas of Kongo Central province in the Democratic Republic of Congo (DRC) to choose one of the modern contraceptive methods.</p></sec><sec id="s2"><title>2. Methods</title><p>An analysis of service data generated during 14 Family Planning (FP) mini- campaigns organized from January to March 2021 in 8 health zones in Kongo Central/DRC (Masa, Sona Bata, Kisantu, Mbanza Ngungu, Kimpese, Nzanza, Matadi, and Inga), in DRC was made. We used non-probability convenience sampling. All new clients who requested first time, a modern contraceptive method were included in the study. A total of 705 clients were included in the study. All modern methods were available and each client had the option of taking the method of her choice after general counseling with a cost ranging from 0 to 1.25$ USD per category of method. The data were collected by community health workers and clinical providers trained in family planning service provision using routine FP service registries. These registries include the following variables for each client: age, marital status, educational level, profession, children alive, children deceased, number of abortions, number of pregnancies.</p><p>Three categories of variables were used: sociodemographic variables (age, marital status, level of education, profession, number of living and dead children), clinical and gynecological variables (methods chosen, and total pregnancies carried).</p><p>The age, initially continuous variable, was categorized into three classes: Under 20, 20 to 24 years old, and 25 to 49 years old. The same is true for the number of living children, categorized into five classes (None, one to two children, three to four children, five to six children, and seven to eight) then in two categories (no living children versus living children). The deceased children variable was grouped first into three classes (None, one child, two or more) and then into two categories (None versus one or more children). The total number of pregnancies carried was categorized into five classes (None, one pregnancy, two to five, six to nine, and ten to fourteen) then in four categories (None, one pregnancy, two to five, six or more).</p><p>The variable of the contraceptive method chosen was grouped into two classes: Short-Acting Contraceptives including male and female condoms, Cyclebeads, pills, emergency contraception, and injectable and Long-Acting Reversible Contraceptive (LARC), which include implants and IUDs, although no client chose the latter.</p><p>The method variable was divided into two categories, short-acting contraceptive methods, and LARC. Pearson’s Chi<sup>2</sup> test was used after checking the conditions of its application to compare the proportions of the chosen methods in the different categories of study variables. Logistic regression was done to analyze the strength of association between the use of LARC with the clinical and gynecological variables of the study. The stepwise forward exploratory approach with automatic step-by-step selection (input P = 0.05 and output P = 0.10) was used and made it possible to generate the specific and adequate final model (Hosmer test-Lemeshow NS) for this study.</p><p>Two stratified analyzes were also performed. They verified the impact of age and the number of children who died on the association between LARC’s choice and the number of children alive. The homogeneity of the Relative Risks (RR) in the strata for these two analyzes was judged using the Chi<sup>2</sup> interaction test. The conclusion was drawn when there was homogeneity after comparing the crude RR with the adjusted RR (estimated by the Mantel-Haenszel test) and after calculating the relative Dabis difference. All these analyses were performed with STATA version 14 software, and a significance level α = 5% was used. Before data collection, the protocol was submitted to the Ethics Committee of the Protestant University in Congo (Ref: CEUPC00095) for approval; at the provincial level, authorization was obtained from the Provincial Coordination of the PNSR Kongo Central.</p></sec><sec id="s3"><title>3. Results</title><p>The clients’ average age (SD) was 25.7 &#177; 6.3 years (Min: 13 years; Max: 49 years). The median number (IQS) of pregnancies carried by each woman was 3 (1 - 4) (Min: 0; Max: 14 pregnancies), and that of alive children for each woman was 2 (1 - 4) (Min: 0 children; Max: 8 children). The socio-demographic and gynecological data of these clients are presented in <xref ref-type="table" rid="table1">Table 1</xref>.</p><p>Among adolescents aged 20 years, 64.3% have one to two children alive, and 1.4% of young people aged 20 to 24 have five to six children. Some clients aged 25 to 49 years have up to seven children alive (See <xref ref-type="table" rid="table2">Table 2</xref>).</p><p>The proportion of women who chose LARC increased with age, with the number of pregnancies carried (P &lt; 0.001), with the number of children alive (P &lt; 0.001), and with the number of children who died (P &lt; 0.001). Out of a total of 705 clients, 11.1% aged under 20 and 39.1% of clients aged 20 to 24 requested LARC. Divorced and unmarried women prefer SAC and married and common-law women prefer LARC, compared to other categories of women. Unemployed women prefer SACs more than other professional categories, and women farmers prefer LARC. The level of education has no influence on the choice of SAC or LARC (<xref ref-type="table" rid="table3">Table 3</xref>).</p><p>Adolescents aged 13 to 19 and youth aged 20 to 24 have also chosen LARC (<xref ref-type="table" rid="table4">Table 4</xref>). The Odds Ratio of clients who decided these methods did not change with age, which was higher among clients aged 20 to 24. However, this odds ratio increased with the number of children alive (P &lt; 0.001).</p><p>Considering only two categories of clients; those without children versus those with living children, the Relative Difference (RD) of Davis calculated with the Relative Risk (RR) and the Adjusted Relative Risk is 4.5% in the association between LARC and the number of children alive stratified by age. This RD is zero in the association between LARC and number of children alive stratified by number of children dead. This shows that the client’s age and the number of</p><table-wrap-group id="1"><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Sociodemographic, clinical and gynecological characteristics of clients</title></caption><table-wrap id="1_1"><table><tbody><thead><tr><th align="center" valign="middle" >Variable</th><th align="center" valign="middle" >n (705)</th><th align="center" valign="middle" >%</th><th align="center" valign="middle"  colspan="2"  >Mean (SD)</th><th align="center" valign="middle"  colspan="2"  >Me (IQS)</th></tr></thead><tr><td align="center" valign="middle" >Age (years)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle"  colspan="2"  >25.7 (6.3)</td><td align="center" valign="middle"  colspan="2"  ></td></tr><tr><td align="center" valign="middle" >&lt;20</td><td align="center" valign="middle" >126</td><td align="center" valign="middle" >17.9</td><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle"  colspan="2"  ></td></tr><tr><td align="center" valign="middle" >20 - 24</td><td align="center" valign="middle" >207</td><td align="center" valign="middle" >29.4</td><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle"  colspan="2"  ></td></tr><tr><td align="center" valign="middle" >25 - 49</td><td align="center" valign="middle" >372</td><td align="center" valign="middle" >52.7</td><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle"  colspan="2"  ></td></tr><tr><td align="center" valign="middle"  colspan="4"  >Marital status</td><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Single</td><td align="center" valign="middle" >245</td><td align="center" valign="middle" >34.8</td><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle"  colspan="2"  ></td></tr><tr><td align="center" valign="middle" >Married or in union</td><td align="center" valign="middle" >447</td><td align="center" valign="middle" >63.4</td><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle"  colspan="2"  ></td></tr><tr><td align="center" valign="middle" >Divorced</td><td align="center" valign="middle" >13</td><td align="center" valign="middle" >1.8</td><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle"  colspan="2"  ></td></tr><tr><td align="center" valign="middle"  colspan="4"  >Educational level</td><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >No schooling</td><td align="center" valign="middle" >234</td><td align="center" valign="middle" >33.2</td><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle"  colspan="2"  ></td></tr><tr><td align="center" valign="middle" >Primary</td><td align="center" valign="middle" >110</td><td align="center" valign="middle" >15.6</td><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle"  colspan="2"  ></td></tr><tr><td align="center" valign="middle" >Secondary</td><td align="center" valign="middle" >339</td><td align="center" valign="middle" >48.1</td><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle"  colspan="2"  ></td></tr><tr><td align="center" valign="middle" >Higher/University</td><td align="center" valign="middle" >22</td><td align="center" valign="middle" >3.1</td><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle"  colspan="2"  ></td></tr><tr><td align="center" valign="middle" >Profession</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle"  colspan="2"  ></td></tr><tr><td align="center" valign="middle" >No occupation</td><td align="center" valign="middle" >29</td><td align="center" valign="middle" >4.1</td><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle"  colspan="2"  ></td></tr><tr><td align="center" valign="middle" >Housewife</td><td align="center" valign="middle" >177</td><td align="center" valign="middle" >25.1</td><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle"  colspan="2"  ></td></tr><tr><td align="center" valign="middle" >Farmer</td><td align="center" valign="middle" >168</td><td align="center" valign="middle" >23.8</td><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle"  colspan="2"  ></td></tr><tr><td align="center" valign="middle" >Student</td><td align="center" valign="middle" >127</td><td align="center" valign="middle" >18.0</td><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle"  colspan="2"  ></td></tr><tr><td align="center" valign="middle" >Trader</td><td align="center" valign="middle" >198</td><td align="center" valign="middle" >28.1</td><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle"  colspan="2"  ></td></tr><tr><td align="center" valign="middle" >Civil servant or employee</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >0.9</td><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle"  colspan="2"  ></td></tr><tr><td align="center" valign="middle"  colspan="4"  >Children alive</td><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle" >2 (1 - 4)</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >58</td><td align="center" valign="middle" >8.2</td><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle"  colspan="2"  ></td></tr><tr><td align="center" valign="middle" >1 - 2</td><td align="center" valign="middle" >336</td><td align="center" valign="middle" >47.7</td><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle"  colspan="2"  ></td></tr><tr><td align="center" valign="middle" >3 - 4</td><td align="center" valign="middle" >214</td><td align="center" valign="middle" >30.3</td><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle"  colspan="2"  ></td></tr><tr><td align="center" valign="middle" >5 - 6</td><td align="center" valign="middle" >78</td><td align="center" valign="middle" >11.1</td><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle"  colspan="2"  ></td></tr><tr><td align="center" valign="middle" >7 - 8</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >2.7</td><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle"  colspan="2"  ></td></tr><tr><td align="center" valign="middle"  colspan="4"  >Children deceased</td><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >561</td><td align="center" valign="middle" >79.6</td><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle"  colspan="2"  ></td></tr><tr><td align="center" valign="middle" >1</td><td align="center" valign="middle" >119</td><td align="center" valign="middle" >16.9</td><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle"  colspan="2"  ></td></tr><tr><td align="center" valign="middle" >2 - 7</td><td align="center" valign="middle" >25</td><td align="center" valign="middle" >3.5</td><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle"  colspan="2"  ></td></tr><tr><td align="center" valign="middle"  colspan="4"  >Total pregnancies carried</td><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle" >3 (1 - 4)</td></tr><tr><td align="center" valign="middle" >No</td><td align="center" valign="middle" >42</td><td align="center" valign="middle" >6</td><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle"  colspan="2"  ></td></tr><tr><td align="center" valign="middle" >1</td><td align="center" valign="middle" >142</td><td align="center" valign="middle" >20.1</td><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle"  colspan="2"  ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><table-wrap id="1_2"><table><tbody><thead><tr><th align="center" valign="middle" >2 - 5</th><th align="center" valign="middle" >449</th><th align="center" valign="middle" >63.7</th><th align="center" valign="middle"  colspan="2"  ></th><th align="center" valign="middle"  colspan="2"  ></th></tr></thead><tr><td align="center" valign="middle" >6 - 9</td><td align="center" valign="middle" >67</td><td align="center" valign="middle" >9.5</td><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle"  colspan="2"  ></td></tr><tr><td align="center" valign="middle" >10 - 14</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >0.7</td><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle"  colspan="2"  ></td></tr><tr><td align="center" valign="middle"  colspan="4"  >Selected methods</td><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Short-acting</td><td align="center" valign="middle" >448</td><td align="center" valign="middle" >63.5</td><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle"  colspan="2"  ></td></tr><tr><td align="center" valign="middle" >LARC</td><td align="center" valign="middle" >257</td><td align="center" valign="middle" >36.5</td><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle"  colspan="2"  ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap></table-wrap-group><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> The proportion of the number of living children according to age</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Age (years)</th><th align="center" valign="middle" >0 children (%)</th><th align="center" valign="middle" >1 - 2 children (%)</th><th align="center" valign="middle" >3 - 4 children (%)</th><th align="center" valign="middle" >5 - 6 children (%)</th><th align="center" valign="middle" >≥7 children (%)</th></tr></thead><tr><td align="center" valign="middle" >&lt; 20 (n = 126)</td><td align="center" valign="middle" >32.5</td><td align="center" valign="middle" >64.3</td><td align="center" valign="middle" >2.4</td><td align="center" valign="middle" >0.8</td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle" >20 – 24 (n = 207)</td><td align="center" valign="middle" >5.8</td><td align="center" valign="middle" >67.1</td><td align="center" valign="middle" >25.1</td><td align="center" valign="middle" >1.4</td><td align="center" valign="middle" >0.5</td></tr><tr><td align="center" valign="middle" >25 – 49 (n = 372)</td><td align="center" valign="middle" >1.3</td><td align="center" valign="middle" >31.2</td><td align="center" valign="middle" >42.7</td><td align="center" valign="middle" >19.9</td><td align="center" valign="middle" >4.8</td></tr></tbody></table></table-wrap><table-wrap-group id="3"><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Choice of methods according to study variables (n = 705)</title></caption><table-wrap id="3_1"><table><tbody><thead><tr><th align="center" valign="middle"  colspan="3"  >Variables</th><th align="center" valign="middle" >SAC (%)</th><th align="center" valign="middle" >LARC (%)</th><th align="center" valign="middle" >P<sup>a</sup></th></tr></thead><tr><td align="center" valign="middle"  colspan="3"  >Age (years)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle" >&lt; 20</td><td align="center" valign="middle" >88.9</td><td align="center" valign="middle" >11.1</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle" >20 - 24</td><td align="center" valign="middle" >60.9</td><td align="center" valign="middle" >39.1</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle" >25 - 49</td><td align="center" valign="middle" >56.5</td><td align="center" valign="middle" >43.5</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="3"  >Marital status</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle" >Single</td><td align="center" valign="middle" >72.7</td><td align="center" valign="middle" >27.3</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle" >Married and in union</td><td align="center" valign="middle" >57.9</td><td align="center" valign="middle" >42.1</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle" >Divorced</td><td align="center" valign="middle" >84.6</td><td align="center" valign="middle" >15.4</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="3"  >Educational level</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >0.1</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle"  colspan="2"  >No schooling</td><td align="center" valign="middle" >65.4</td><td align="center" valign="middle" >34.6</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle"  colspan="2"  >Primary</td><td align="center" valign="middle" >61.8</td><td align="center" valign="middle" >38.2</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle"  colspan="2"  >Secondary</td><td align="center" valign="middle" >61.4</td><td align="center" valign="middle" >38.6</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle"  colspan="2"  >Higher/University</td><td align="center" valign="middle" >86.4</td><td align="center" valign="middle" >13.6</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="3"  >Profession</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >&lt;0.01</td></tr><tr><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle" >No occupation</td><td align="center" valign="middle" >75.9</td><td align="center" valign="middle" >24.1</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle" >Housewife</td><td align="center" valign="middle" >62.7</td><td align="center" valign="middle" >37.3</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle" >Farmer</td><td align="center" valign="middle" >50</td><td align="center" valign="middle" >50</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle" >Student</td><td align="center" valign="middle" >68.5</td><td align="center" valign="middle" >31.5</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle" >Trader</td><td align="center" valign="middle" >70.7</td><td align="center" valign="middle" >29.3</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><table-wrap id="3_2"><table><tbody><thead><tr><th align="center" valign="middle"  colspan="2"  ></th><th align="center" valign="middle" >Civil servant or employee</th><th align="center" valign="middle" >66.7</th><th align="center" valign="middle" >33.3</th><th align="center" valign="middle" ></th></tr></thead><tr><td align="center" valign="middle"  colspan="3"  >Total pregnancies carried</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >92.9</td><td align="center" valign="middle" >7.1</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >82.4</td><td align="center" valign="middle" >17.6</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle" >2 - 5</td><td align="center" valign="middle" >60.6</td><td align="center" valign="middle" >39.4</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="2"  ></td><td align="center" valign="middle" >≥6</td><td align="center" valign="middle" >27.8</td><td align="center" valign="middle" >72.2</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="3"  >Children alive</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle"  colspan="2"  >0</td><td align="center" valign="middle" >93.1</td><td align="center" valign="middle" >6.9</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle"  colspan="2"  >1 - 2</td><td align="center" valign="middle" >74.1</td><td align="center" valign="middle" >25.9</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle"  colspan="2"  >3 - 4</td><td align="center" valign="middle" >53.7</td><td align="center" valign="middle" >46.3</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle"  colspan="2"  >5 - 6</td><td align="center" valign="middle" >32,1</td><td align="center" valign="middle" >67.9</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle"  colspan="2"  >7 - 8</td><td align="center" valign="middle" >26.3</td><td align="center" valign="middle" >73.7</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="3"  >Children deceased</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle"  colspan="2"  >0</td><td align="center" valign="middle" >65.8</td><td align="center" valign="middle" >34.2</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle"  colspan="2"  >1</td><td align="center" valign="middle" >61.3</td><td align="center" valign="middle" >38.7</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle"  colspan="2"  >2 - 7</td><td align="center" valign="middle" >24</td><td align="center" valign="middle" >76</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap></table-wrap-group><p><sup>a</sup>Pearson’s Chi<sup>2</sup>.</p><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Association between use of LARC with age and number of children alive (n = 705)</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="2"  >Variables</th><th align="center" valign="middle" >%</th><th align="center" valign="middle" >aOR (IC95%)</th><th align="center" valign="middle" >P<sup>a</sup></th></tr></thead><tr><td align="center" valign="middle"  colspan="2"  >Age (years)</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >&lt;20</td><td align="center" valign="middle" >11.1</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >20 - 24</td><td align="center" valign="middle" >39.1</td><td align="center" valign="middle" >3.4</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >25 - 49</td><td align="center" valign="middle" >43.3</td><td align="center" valign="middle" >2,1</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle"  colspan="2"  >Children alive</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >&lt;0.001</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >6.9</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >1 - 2</td><td align="center" valign="middle" >25.9</td><td align="center" valign="middle" >3.4</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >3 - 4</td><td align="center" valign="middle" >46.3</td><td align="center" valign="middle" >7.5</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >5 - 6</td><td align="center" valign="middle" >67.9</td><td align="center" valign="middle" >13.4</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" >7 - 8</td><td align="center" valign="middle" >73.7</td><td align="center" valign="middle" >8.4</td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p><sup>a</sup>Pearson’s Chi<sup>2</sup>. HL: P = 0.98.</p><p>children who died do not modify and have no confounding effect on the association between the choice of LARC and the number of children in life (<xref ref-type="table" rid="table5">Table 5</xref>).</p></sec><sec id="s4"><title>4. Discussion</title><p>The average age of clients was 25.7 years. Previous studies on the use of modern contraceptive methods in the Democratic Republic of Congo shown that the</p><table-wrap id="table5" ><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> Association between LARC and living children, stratified by age category and deceased children</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  colspan="2"  >Variables</th><th align="center" valign="middle" ></th><th align="center" valign="middle" >LARC (%)</th><th align="center" valign="middle" >RR [IC<sub>95%</sub>]</th></tr></thead><tr><td align="center" valign="middle" >Age (years)</td><td align="center" valign="middle"  colspan="2"  >13 - 17</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >No children alive (n = 23)</td><td align="center" valign="middle" >0.0</td><td align="center" valign="middle" >1</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Children alive (n = 27)</td><td align="center" valign="middle" >18.5</td><td align="center" valign="middle" >2.0 (1.5 - 2.8)<sup>a</sup></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle"  colspan="2"  >18 - 24</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >No children alive (n = 30)</td><td align="center" valign="middle" >10.0</td><td align="center" valign="middle" >1</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Children alive (n = 253)</td><td align="center" valign="middle" >34.4</td><td align="center" valign="middle" >1.1 (1.0 - 1.2)<sup>a</sup></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle"  colspan="2"  >25 - 49</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >No children alive (n = 5)</td><td align="center" valign="middle" >20.0</td><td align="center" valign="middle" >1</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Children alive (n = 367)</td><td align="center" valign="middle" >43.9</td><td align="center" valign="middle" >1.0 (0.9 - 1.0)<sup>a</sup></td></tr><tr><td align="center" valign="middle" >Children deceased</td><td align="center" valign="middle"  colspan="2"  >0</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >No children alive (n = 45)</td><td align="center" valign="middle" >6.7</td><td align="center" valign="middle" >1</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Children alive (n = 516)</td><td align="center" valign="middle" >36.6</td><td align="center" valign="middle" >1.1 (1.1 - 1.2)<sup>b</sup></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle"  colspan="2"  >1 - 7</td><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >No children alive (n = 13)</td><td align="center" valign="middle" >7.7</td><td align="center" valign="middle" >1</td></tr><tr><td align="center" valign="middle" ></td><td align="center" valign="middle" ></td><td align="center" valign="middle" >Children alive (n = 131)</td><td align="center" valign="middle" >48.9</td><td align="center" valign="middle" >1.2 (1.1 - 1.3)<sup>b</sup></td></tr></tbody></table></table-wrap><p><sup>a</sup>Chi<sup>2</sup> of homogeneity: p &lt; 0.0001; RR = 1.12; adjusted RR = 1.07 [1.04 - 1.10]; Dabis’s RD = 4.5%; <sup>b</sup>Chi<sup>2</sup> of homogeneity: p = 0.41; RR = 1.12; adjusted RR = 1.12 [1.1 - 1.7]; Dabis’s RD = 0%; RD: Relative Difference.</p><p>average age of clients was between 25 and 30 years old [<xref ref-type="bibr" rid="scirp.123432-ref2">2</xref>] [<xref ref-type="bibr" rid="scirp.123432-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.123432-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.123432-ref13">13</xref>] [<xref ref-type="bibr" rid="scirp.123432-ref14">14</xref>] . This trend in our study can be explained by the fact that these young women, especially in rural areas, already have a high number of living children to support (<xref ref-type="table" rid="table2">Table 2</xref>). The median number of pregnancies carried by women in this study is 3, varying from 0 to 14 pregnancies and corresponds to the characteristics of women described in other studies and surveys carried out of the DRC [<xref ref-type="bibr" rid="scirp.123432-ref15">15</xref>] . We assume that this number of pregnancies up to 14 are unwanted pregnancies for some women. For others, recovery pregnancies are for women with lost children (Min: 0; Max: 7 children) (<xref ref-type="table" rid="table1">Table 1</xref>) or having abortions. However, all these early pregnancies, too numerous and very late, expose these women to an increased risk of complications and death for mothers, unborn babies, and newborns, and are also correlated with a higher risk of contracting sexually transmitted infections (STIs) and HIV/AIDS [<xref ref-type="bibr" rid="scirp.123432-ref15">15</xref>] .</p><p>The use of LARC has increased with the number of pregnancies achieved, children alive and children who have died. This confirms the results of previous study in the Kongo Central province, which showed a preference for rural women, married and older (≥25 years) for LARC [<xref ref-type="bibr" rid="scirp.123432-ref3">3</xref>] . This trend can be explained in our study by the fact that these women who are still sexually active, having had several pregnancies and children alive, wish to delay or stop with motherhood. However, despite this preference, many of these clients return to the health center shortly after (even before the scheduled date) to remove implants for the side effects, commonly heavy bleeding [<xref ref-type="bibr" rid="scirp.123432-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.123432-ref16">16</xref>] [<xref ref-type="bibr" rid="scirp.123432-ref17">17</xref>] .</p><p>This study showed us that the choice of LARC by clients is oriented more by the number of children alive and not by age. These results are similar to those found in a study carried out in Kenya on LARC use among adolescent girls and young women and showed that age, residence, religion, marital status, and the number of living children had significant associations with LARC use [<xref ref-type="bibr" rid="scirp.123432-ref18">18</xref>] . Of these variables, the number of living children showed a stronger association revealing that the more children a woman has, the more likely she is to choose LARC. Young women with up to 2 living children were about 18 times more likely to choose LARC than those with no living children and those with at least 3 living children were 26 times more likely to use LARC than their counterparts without living children [<xref ref-type="bibr" rid="scirp.123432-ref18">18</xref>] . In our study, this statement may be due to the fact that women marry very young, especially in rural areas, and are exposed to large children even if the birth spacing is observed. This partly justifies that some clients under 25 already have many children alive, up to seven children (<xref ref-type="table" rid="table2">Table 2</xref>). Thus, this category of women may require other methods such as the IUD, which is a first-line contraceptive method, very effective, long-acting [<xref ref-type="bibr" rid="scirp.123432-ref19">19</xref>] , but which is less preferred by clients [<xref ref-type="bibr" rid="scirp.123432-ref3">3</xref>] [<xref ref-type="bibr" rid="scirp.123432-ref9">9</xref>] , despite its advantages [<xref ref-type="bibr" rid="scirp.123432-ref17">17</xref>] , indeed, because it is less known, less popularized or because providers do not master insertion techniques. This contraceptive method can be offered to all women, regardless of parity [<xref ref-type="bibr" rid="scirp.123432-ref17">17</xref>] . It is the same for permanent contraception (through tubal ligation), which should also be part of the methods to be offered to clients who want it and those who consider that the number of children alive is sufficient mainly regardless of the age and in whom infertility secondary to the use of LARC is no longer a problem, their concern being the irreversible limitation of births [<xref ref-type="bibr" rid="scirp.123432-ref3">3</xref>] , using the rights-based approach to family planning [<xref ref-type="bibr" rid="scirp.123432-ref20">20</xref>] . According to the study on the impact of contraceptive use among women desiring tubal ligation carried out at the Evangelical Medical Institute in Kimpese, Democratic Republic of Congo, the demand for surgical contraception comes mainly from married women and poorly educated (often in rural areas). Most of whom have more than five children [<xref ref-type="bibr" rid="scirp.123432-ref21">21</xref>] .</p><p>Limitations of the Study</p><p>This study was only conducted on eight health zones among the 31 HZ of Kongo Central, limiting its external validity when designing national-level policies. The DRC presents wide variations among the contraceptive profile of its provinces and populations [<xref ref-type="bibr" rid="scirp.123432-ref11">11</xref>] .</p><p>Additionally, although the full range of methods was available and the clients were free to select their preferred method after receiving counseling, user fees and method costs were not uniform across all methods. On average, the cost of LARC was five times that of purchasing short-acting methods. This cost difference could influence the choice of method. It could be why older women often chose it with more responsibilities and more money. Clients with insufficient cash may have chosen short-acting methods, and clients may choose LARC with more cash.</p></sec><sec id="s5"><title>5. Conclusion</title><p>The choice of modern contraceptive methods is guided by the age of the mother and the number of living children. Younger women are more likely to choose short-acting contraceptive methods. The high number of living children influences the choice of LARC regardless of age. Therefore, it is necessary to widen the possibility of other reversible, long-acting, and irreversible methods to help some women who may desire and prevent clients to certain cardiovascular risks associated with hormonal methods. Thus, a large-scale community inquiry must be initiated in this province on the acceptability and identify the reasons for non-adoption to these two methods to act on the probable causes according to the principles of human rights and related principles that apply to family planning.</p></sec><sec id="s6"><title>Conflicts of Interest</title><p>The authors declare no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s7"><title>Cite this paper</title><p>Roger, M.L.G., Philippe, L.N., Kintaudi, N.M., Felix, M.K., Albert, K.N., Adrien, N.K., Jim, M.N. and Mangondo, L.M. (2023) Family Planning: Choosing Contraceptive Methods in Kongo Central Province, the Democratic Republic of the Congo. Open Journal of Obstetrics and Gynecology, 13, 372-382. https://doi.org/10.4236/ojog.2023.132036</p></sec></body><back><ref-list><title>References</title><ref id="scirp.123432-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Organisation des Nations Unies. Objectifs de Développement Durable.  
https://www.un.org/sustainabledevelopment/fr</mixed-citation></ref><ref id="scirp.123432-ref2"><label>2</label><mixed-citation publication-type="other" xlink:type="simple">Ntambue, A.M., Tshiala, R.N., Malonga, F.K., et al. (2017) Utilisation des méthodes contraceptives modernes en République Démocratique du Congo: Prévalence et barrière dans la Zone de Santé de Dibindi à Mbuji-Mayi. The Pan African Medical Journal, 26, 199. https://doi.org/10.11604/pamj.2017.26.199.10897</mixed-citation></ref><ref id="scirp.123432-ref3"><label>3</label><mixed-citation publication-type="other" xlink:type="simple">Matondo, G.R., Mahoya, L., Kiangebeni, J., et al. (2021) Purchase of Contraceptive Methods in Kongo Central Province, the Democratic Republic of Congo: Data from the Lelo Family Planning Mini-Campaign Survey. Journal of Obstetrics and Gynecology, 11, 553-562. https://www.scirp.org/journal/ojog  
https://doi.org/10.4236/ojog.2021.115051</mixed-citation></ref><ref id="scirp.123432-ref4"><label>4</label><mixed-citation publication-type="other" xlink:type="simple">UNFP. Planification Familiale. 
https://www.unfpa.org/family-planning#readmore-expand</mixed-citation></ref><ref id="scirp.123432-ref5"><label>5</label><mixed-citation publication-type="other" xlink:type="simple">Kantorová, V., Wheldon, M.C., Ueffing, P. and Dasgupta, A.N.Z. (2020) Estimating Progress towards Meeting Femmes’ Contraceptive Needs in 185 Countries: A Bayesian Hierarchical Modeling Study. PLOS Medicine, 17, e1003026.  
https://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1003026  
https://doi.org/10.1371/journal.pmed.1003026</mixed-citation></ref><ref id="scirp.123432-ref6"><label>6</label><mixed-citation publication-type="other" xlink:type="simple">Kantorová, V., et al. (2021) Contraceptive Use and Needs among Adolescent Women Aged 15-19: A Bayesian Hierarchical Modeling Study Shows Regional and Global Estimates and Projections from 1990 to 2030. PLOS ONE, 16, e0247479.  
https://doi.org/10.1371/journal.pone.0247479</mixed-citation></ref><ref id="scirp.123432-ref7"><label>7</label><mixed-citation publication-type="other" xlink:type="simple">Kwete, D., Binanga, A., Mukaba, T., et al. (2018) La planification familiale en République Démocratique du Congo: Un dynamisme encourageant, des défis impressionnants. Revue &amp; Analyse de programme. Global Health: Science and Practice.</mixed-citation></ref><ref id="scirp.123432-ref8"><label>8</label><mixed-citation publication-type="other" xlink:type="simple">Ahmed, S., et al. (2012) Maternal Deaths Averted by Contraceptive Use: An Analysis of 172 Countries. The Lancet, 380, 111-125.  
https://doi.org/10.1016/S0140-6736(12)60478-4</mixed-citation></ref><ref id="scirp.123432-ref9"><label>9</label><mixed-citation publication-type="other" xlink:type="simple">Matungulu, C., Kandolo, S.I., Mukengeshayi, A.N., et al. (2015) Déterminants de l’utilisation des méthodes contraceptives dans la Zone de Santé Mumbunda à Lubumbashi, République Démocratique du Congo. The Pan African Medical Journal, 22, 329. https://doi.org/10.11604/pamj.2015.22.329.6262</mixed-citation></ref><ref id="scirp.123432-ref10"><label>10</label><mixed-citation publication-type="other" xlink:type="simple">Ministère de la santé publique (2014) Planification Familiale: Plan Stratégique National à Vision Multisectorielle (2014-2020). DRC, Kinshasa.</mixed-citation></ref><ref id="scirp.123432-ref11"><label>11</label><mixed-citation publication-type="other" xlink:type="simple">République Démocratique du Congo. Ministère du Plan et Suivi de la mise en &amp;#339;uvre de la Révolution de la Modernité et Ministère de la Santé Publique. Deuxième enquête démographique et de Santé (EDS-RDC II 2013-2014). RD Congo, Kinshasa, 91-111.</mixed-citation></ref><ref id="scirp.123432-ref12"><label>12</label><mixed-citation publication-type="other" xlink:type="simple">République Démocratique du Congo (2019) MICS-Palu. Rapport final. RD Congo Décembre, Kinshasa, 86-95.</mixed-citation></ref><ref id="scirp.123432-ref13"><label>13</label><mixed-citation publication-type="other" xlink:type="simple">Marie-Jeanne, K.F. (2017) Déterminants de la faible utilisation des méthodes contraceptives modernes chez les femmes en age de procréer cas de la Zone de Santé de Gombe Matadi. Mémoire présenté et défendu en vue de l’obtention du dipl&amp;ocirc;me de Spécialiste en Santé Publique. Année Académique 2016-2017.</mixed-citation></ref><ref id="scirp.123432-ref14"><label>14</label><mixed-citation publication-type="other" xlink:type="simple">Ntambue, A.M., Tshiala, R.N., Malonga, F.K., et al. (2017) Utilisation des méthodes contraceptives modernes en République Démocratique du Congo: Prévalence et barrières dans la zone de santé de Dibindi à Mbuji-Mayi. Pan African Medical Journal, 26, 199. https://www.researchgate.net/publication/318213479  
https://doi.org/10.11604/pamj.2017.26.199.10897</mixed-citation></ref><ref id="scirp.123432-ref15"><label>15</label><mixed-citation publication-type="other" xlink:type="simple">Organisation Mondiale de la Santé. Possibilités de dispenser des soins néonatals dans le cadre des programmes existants.  
https://www.who.int/fr/news-room/fact-sheets/detail/adolescent-pregnancy</mixed-citation></ref><ref id="scirp.123432-ref16"><label>16</label><mixed-citation publication-type="other" xlink:type="simple">Organisation mondiale de la santé (2012) Guide de la planification familiale à l’usage des agents de santé communautaires et de leurs clients. OMS, Genève.  
http://apps.who.int/iris/bitstream/handle/10665/44883/9789242503753_fre.pdf</mixed-citation></ref><ref id="scirp.123432-ref17"><label>17</label><mixed-citation publication-type="other" xlink:type="simple">Akilimali, P.Z., et al. (2020) Incidence and Determinants of Implanon Discontinuation: Findings from a Prospective Cohort Study in Three Health Zones in Kinshasa, DRC. PLOS ONE, 15, e0232582. https://doi.org/10.1371/journal.pone.0232582</mixed-citation></ref><ref id="scirp.123432-ref18"><label>18</label><mixed-citation publication-type="other" xlink:type="simple">Kungu, W., Khasakhala, A. and Agwanda, A. (2020) Use of Long-Acting Reversible Contraception among Adolescents and Young Women in Kenya. PLOS ONE, 15, e0241506. https://doi.org/10.1371/journal.pone.0241506</mixed-citation></ref><ref id="scirp.123432-ref19"><label>19</label><mixed-citation publication-type="other" xlink:type="simple">HAS (Haute Autorité de Santé). Méthodes contraceptives: Focus sur les méthodes les plus efficaces disponibles. Documents de Synthèse révisé en novembre 2017.  
https://www.has-sante.fr/upload/docs/application/pdf/2013-03/synthese_methodes_contraceptives_format2clics.pdf</mixed-citation></ref><ref id="scirp.123432-ref20"><label>20</label><mixed-citation publication-type="other" xlink:type="simple">UNFPA (2018) Planification familiale adaptée aux droits: Un kit de ressources pour concevoir des programmes visant à respecter, protéger et réaliser les droits des femmes et des jeunes filles.   
https://fp2030.org/sites/default/files/Rights-sizing_Family_Planning_Toolkit_FR_Final.pdf</mixed-citation></ref><ref id="scirp.123432-ref21"><label>21</label><mixed-citation publication-type="other" xlink:type="simple">Chabikuli, N. and Lukanu, P.N. (2007) Impact of Contraception Use among Women Seeking Tubal Ligation in the Rural Democratic Republic of the Congo. South African Journal of Obstetrics and Gynaecology, 13, 15-18.</mixed-citation></ref></ref-list></back></article>