ArticlePloS one2024
Unmet need for family planning and associated factors among currently married women in Nepal: A further analysis of Nepal Demographic and Health Survey-2022.
Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Unmet need for family planning among reproductive-age women living with HIV in Africa: a systematic review and meta-analysis.BMC women's health · 2026Pooled it
- Trends and Determinants of Unmet Need for Family Planning Among Adolescent Girls and Young Women Aged 15-24 Years in Nepal: Evidence from Three Demographic and Health Surveys.Maternal and child health journal · 2026Article
- Determinants of family planning use among married women of reproductive age in south Asia: a systematic review and meta-analysis.The Lancet regional health. Southeast Asia · 2026Article
- Supervised machine learning-based prediction of modern contraceptive use among sexually active women in Nepal.PLOS digital health · 2026Article
- Knowledge and utilization of family planning and safe abortion services among married women of reproductive age in the Raute community of Nepal: A census-based cross-sectional study.PLOS global public health · 2026Article
- Global burden and cross-country inequalities in head and neck cancer from 1992 to 2021: results from the global burden of disease study.Health economics review · 2025Article
- Assessing the drivers of sexual behavior among youth and its social determinants in Nepal.PloS one · 2025Article
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13 authors.
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Abstract
introductionFamily planning (FP) is crucial for improving maternal and newborn health outcomes, promoting gender equality, and reducing poverty. Unmet FP needs persist globally, especially in South Asia and Sub-Saharan Africa leading to unintended pregnancies, unsafe abortions, and maternal fatalities. This study aims to identify the determinants of unmet needs for FP from a nationally representative survey.
methodsWe analyzed the data of 11,180 currently married women from nationally representative Nepal Health Demographic Survey 2022. We conducted weighted analysis in R statistical software to account complex survey design and non-response rate. We conducted univariate and multivariable binary and multinomial logistic regression to assess association of unmet need for FP with independent variables including place of residence, province, ecological belt, ethnicity, religion, current age, participant's and husband's education, occupation, wealth quintile, parity, desire for child, and media exposure.
resultsThe total unmet FP need was 20.8% (95%CI: 19.7, 21.9) accounting 13.4% (95%CI: 12.5, 14.4) for unmet need for limiting and 7.4% (95%CI: 6.8, 8.0) for unmet for spacing. Lower odds of total unmet need for FP were present in 20-34 years and 35-49 years compared to <20 years, women belonging to Madhesi ethnic group (AOR: 0.78; 95%CI: 0.64, 0.95) compared to Brahmin/Chhetri, women from richest (AOR: 0.69; 95%CI: 0.56, 0.84), richer (AOR: 0.82; 95%CI: 0.68, 0.97) and middle wealth quintile (AOR: 0.82; 95%CI:0.70, 0.98) groups compared poorest wealth quintile group and women belonging to rural area (AOR: 0.89; 95%CI: 0.80, 0.99) compared to urban area. Higher odds of unmet need for FP were present among women with basic (AOR: 1.34; 95%CI: 1.17, 1.54), and secondary level (AOR: 1.32; 95%CI: 1.12, 1.56) education compared to women without education, among women from Madhesh (AOR: 1.56; 95%CI: 1.22, 1.98), Gandaki (AOR: 2.11; 95%CI: 1.66, 2.68), Lumbini (AOR: 1.97; 95%CI: 1.61, 2.42) and Sudurpashchim province (AOR: 1.64; 95%CI: 1.27, 2.10) compared to Koshi province and among women whose husband education was basic level (AOR:1.37; 95%CI: 1.15, 1.63), or secondary level (AOR: 1.32; 95%CI: 1.09, 1.60) education.
conclusionNepal faces relatively high unmet FP needs across various socio-demographic strata. Addressing these needs requires targeted interventions focusing on age, ethnicity, religion, education, and socio-economic factors to ensure universal access to FP services.
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