Evidence map›Paper›PMID 42032755›Full record

ArticleConflict and health2026

Unplanned pregnancy and contraceptive use in humanitarian settings: the case of Syrian refugee women in Lebanon.

Samar Karout, Hani M J Khojah, Tareq L Mukattash, Abdalla El-Lakany

Abstract read
In one paragraph

Article in Conflict and health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Samar KaroutPharmacy Practice Department, Faculty of Pharmacy, Beirut Arab University, P.O. Box: 11-5020, Riad El Solh, Beirut, 1107 2809, Lebanon. s.karout@bau.edu.lb.
Hani M J KhojahDepartment of Pharmacy Practice, College of Pharmacy, Taibah University, P.O. Box: 30051, Madinah, 41477, Kingdom of Saudi Arabia.
Tareq L MukattashDepartment of Clinical Pharmacy, Faculty of Pharmacy, Jordan University of Science and Technology, P.O. Box: 3030, Irbid, 22110, Jordan.
Abdalla El-LakanyDepartment of Pharmaceutical Sciences , Faculty of Pharmacy, Beirut Arab University, P.O. Box: 11-5020, Riad El Solh, 1107 2809, Beirut, Lebanon.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundContraception is a vital component of reproductive health, yet refugee women often face multiple barriers to accessing family planning (FP) services. This study aimed to explore contraception experiences, practices, and adherence among Syrian refugee women in Lebanon and to identify key sociodemographic predictors influencing contraceptive use.

methodsA descriptive, cross-sectional study was conducted between November 2023 and March 2024 among 790 married Syrian refugee women aged 18-50 across four Lebanese governorates. Structured face-to-face interviews were conducted using a validated questionnaire. Descriptive statistics and logistic regression were used to analyze the data.

resultsNearly 45% had experienced an unplanned pregnancy, with 27.4% resulting in spontaneous miscarriage and 11.3% ending in medical or surgical abortion. About 67.1% were using contraception, with withdrawal (33.2%), intrauterine devices (30.4%), and oral contraceptive pills (OCPs) (19.8%) being the most frequently used method. Among OCP users, 40% were unaware of the medication name, though adherence was generally high (mean score = 21.95 ± 3.68 on a 25-point scale). Logistic regression showed that higher parity (adjusted odds ratio [AOR] = 41.03), residing in Lebanon more than ten years (AOR = 1.57), and employment (AOR = 1.49) were significant predictors of contraceptive use (p < 0.001). Primary barriers to non-use included the desire for more children (31.9%) and spousal opposition (20.4%). More than half of the participants (52.8%) reported at least one chronic condition, with migraine with aura, hypertension, and cardiovascular disease being most common.

conclusionThe high prevalence of unplanned pregnancy (44.5%) and reliance on traditional methods (33.2%) highlight critical gaps in reproductive healthcare. For women with an unmet need for contraception, cultural, informational, and systemic barriers hinder access to modern methods. Improving education, engaging men in FP initiatives, strengthening healthcare infrastructure, and enhancing access to affordable contraceptive methods are essential for advancing reproductive autonomy and health in this vulnerable population.

Indexed as

ContraceptionFamily planningLebanonRefugeesReproductive healthUnplanned pregnancy

Identifiers

PMID42032755
PMCPMC13251265

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LicenceCC BY-NC-ND
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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.