Evidence map›Paper›PMID 40579727›Full record

ArticleReproductive health2025

"It's me who supports. How are you going to refuse to have a child?": the social norms and gender dynamics of men's engagement in family planning practices in the Democratic Republic of the Congo.

Salomine Ekambi, Kathryn Sugg, Florence Mpata, Dédé Marachto Aliango, Peter J Winch

Abstract read
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Article in Reproductive health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Salomine EkambiJohns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA. Ekambi.salomine1@gmail.com.
Kathryn SuggJohns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Florence MpataJohns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Dédé Marachto AliangoCRIDESS-Université Protestante Au Congo CD, Kinshasa, Democratic Republic of Congo.
Peter J WinchJohns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the Democratic Republic of the Congo (DRC), a disparity exists in the fertility desires of men and women, with men often expressing a desire for more children than their partners. This disconnect can be attributed to social and gender norms that influence discussions and decision-making regarding birth spacing, birth limiting, and the adoption of modern contraceptive methods. This qualitative study, through semi-structured interviews and focus group discussions, explored the social norms shaping perceptions, attitudes, and decision-making around family planning among men in the DRC.

methodsThe study protocol was adapted from the 5-step process set forth in the Social Norms Exploration Tool (SNET). Data collection took place in the three provinces of Kasai Central, Lualaba, and Sankuru. This process was divided into three phases: a reference-group identification phase incorporating a short, quantitative questionnaire, an exploration of norms and attitudes with the population of interest (N = 317) - here married and unmarried men - and further exploration of social norms among the reference groups (N = 144) cited by men.

resultsSocial norms around family planning are contradictory and can be better understood by breaking down the concept of family planning into three categories of descriptive and injunctive norms: 1) the use of modern contraceptive methods, 2) birth spacing and family size, and 3) couple communication and decision-making. We found that while social norms oppose the use of modern contraceptive methods and advocate for larger family size, there is notable social support for birth spacing. Some men reported they would support their wives in learning about contraceptive methods if they were able to make the final decision. However, other men felt that allowing their wives to seek a method would undermine their authority or their virility.

conclusionsTo increase modern contraceptive uptake, interventions should address the underlying issues that contribute to non-adherence, addressing the three categories and their associated norms individually and engaging reference groups important to each, including healthcare providers, religious leaders, and male peer groups, in family planning programming.

Indexed as

Contraception BehaviorFamily Planning ServicesHealth Knowledge, Attitudes, PracticeSocial NormsAdultContraceptionDecision MakingDemocratic Republic of the CongoFemaleFocus GroupsHumansMaleMiddle AgedQualitative ResearchYoung AdultBirth spacingCouple-communicationDecision-makingDemocratic Republic of CongoFamily planningFamily sizeModern contraceptionSocial norms

Identifiers

PMID40579727
PMCPMC12205491

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LicenceCC BY
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.