Evidence map›Paper›PMID 42819687›Full record

ArticleNepal journal of epidemiology2026

Determinants of Modern Contraceptive Use among Married Women of Reproductive Age in a Municipality of Nepal: A Cross-Sectional Study.

Samikshya Acharya, Satya Raj Upadhayay

Abstract read
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Article in Nepal journal of epidemiology, 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

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Samikshya AcharyaSchool of Public Health and Community Medicine, B.P. Koirala Institute of Health Sciences, Dharan, Nepal.
Satya Raj UpadhayayCentral Department of Rural Development, Faculty of Humanities and Social Sciences, Tribhuvan University, Kirtipur, Kathmandu, Nepal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The use of modern contraceptives plays a crucial role in reducing unintended pregnancies and improving maternal and child health outcomes. The level of contraceptive use is strongly linked to the total fertility rate (TFR) and population growth rate. This study aimed to assess the utilization of modern contraceptive methods and associated factors among married women of reproductive age (MWRA) in Birendranagar Municipality, Surkhet district. Material and Methods: A community-based cross-sectional study was conducted from April 28, 2023 to October 31, 2023. Eight wards were selected by simple random sampling from the 16 wards of Birendranagar Municipality. The total MWRA population (25,738) in the selected wards was identified, and sample allocation was done using probability proportional to size (PPS). Within each ward, households were selected by systematic random sampling. A sample size of 494 was calculated using the Cochrane single proportion formula. The validated NDHS 2022 questionnaire was used for data collection through face-to-face interviews. Cronbach's alpha was used to assess reliability. Data were analyzed using SPSS version 11.5. Descriptive statistics, Chi-square test, and binary logistic regression were performed at a 95% confidence interval (CI). Result: The mean (± SD) age of participants was 32.97 ± 7.791 years. All respondents (100%) had previously used a family planning method, and 70.6% were currently using modern contraceptives. The most frequently used method was the male condom (29.2%). Total unmet need for modern contraceptives was 22.8%. Multivariate analysis showed that Janjati ethnicity (AOR=4.0, 95% CI: 1.3-12.1), husband's occupation as farmer/daily wage worker (AOR=8.4, 95% CI: 3.7-19.1) or engaged with work (AOR=8.3, 95% CI: 4.5-15.2), and information about side effects provided at the healthcare facility (AOR=1.9, 95% CI: 1.2-3.3) were significantly associated with modern contraceptive use. Conclusion: Modern contraceptive use was 70.6% among married women of reproductive age in Birendranagar Municipality, higher than the national estimate (43%), while unmet need remained at 22.8% which is almost similar to the national data (21%) [1]. These findings highlight the need to improve counselling quality and implement targeted interventions to reduce unmet need and promote informed contraceptive use.

Indexed as

Family planningMarried womenModern contraceptivesNepalReproductive health

Identifiers

PMID42819687
PMCPMC13626665

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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.