Evidence map›Paper›PMID 39544324›Full record

ArticleFrontiers in reproductive health2024

Close female friendships and knowledge of recommended abortion methods in Nigeria and the Democratic Republic of the Congo among a representative sample of reproductive-aged women.

Selena P Anjur-Dietrich, Alice Rhoades, Pierre Z Akilimali, Funmilola M OlaOlorun, Elizabeth Omoluabi, Suzanne O Bell

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Article in Frontiers in reproductive health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing 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

1 citing paper in PubMed.

  1. Review
4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Selena P Anjur-DietrichDepartment of Population, Family, and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
Alice RhoadesDepartment of Population, Family, and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.
Pierre Z AkilimaliPublic Health, Kinshasa School of Public Health, Kinshasa, Democratic Republic of the Congo.
Funmilola M OlaOlorunDepartment of Community Medicine, College of Medicine, University of Ibadan, Ibadan, Nigeria.
Elizabeth OmoluabiDepartment of Statistics and Population Studies, University of the Western Cape, Bellville, South Africa.
Suzanne O BellDepartment of Population, Family, and Reproductive Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: There is a high incidence of unsafe abortion among women in Nigeria and the DRC. Low knowledge of recommended abortion methods [i.e., surgical and medication abortion (MA) pills] is a barrier for women accessing safe abortions. Women often rely on friends for information about abortion methods. Understanding characteristics of women with knowledge of recommended abortion methods, and MA specifically, and how it is influenced by close female friendships may help identify women most at risk of relying on unsafe abortion. Methods: We used survey data from Performance Monitoring for Action from 11,106 women of reproductive age in Nigeria (April-May 2018) and 3,697 women in Kinshasa and Kongo Central, DRC, (December 2021-April 2022) to produce representative estimates of knowledge of abortion methods at the national and province levels, respectively. We performed bivariate and multivariate logistic regression to determine which characteristics were independently associated with knowing a recommended abortion method, with knowing of MA pills specifically, and to assess our hypothesis that having at least one female confidante would increase one's odds of knowing about these methods. Results: A minority (26.9%) of women in Nigeria and the majority in Kinshasa (76.7%) and Kongo Central (58.1%) reported having knowledge of at least one recommended abortion method, while knowledge of MA pills was low in all sites. Having at least one close female confidante was associated with increased odds of knowing a recommend abortion method in Nigeria (aOR = 1.50, 95% CI 1.25-1.79) and in Kongo Central (aOR = 2.66, 95% CI 1.40-5.40), and with increased odds of knowing about MA specifically in Kinshasa (aOR = 1.44, 95% CI 1.08-1.93) and Kongo Central (aOR = 3.61, 95% CI 1.28-10.22), but not Nigeria. Discussion: In legally restrictive contexts where knowledge of recommended abortion methods (particularly medication abortion) is low, having close female friends is related to increased knowledge of recommended abortion methods.

Indexed as

abortionabortion knowledgeDemocratic Republic of the Congo (DRC)female friendshipmedication abortionNigeriasocial networks

Identifiers

PMID39544324
PMCPMC11560890

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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.