Factors associated with health insurance coverage among ever-married women in Somalia using 2020 health and demographic survey data

Achieving universal health coverage (UHC) requires effective financial risk protection mechanisms, with health insurance being a cornerstone. In Somalia’s fragile and under-researched context, the factors influencing health insurance adoption remain poorly understood. This study aims to identify socio-demographic determinants of personal health insurance coverage among ever-married women in Somalia, utilizing the first comprehensive national health and demographic data available for the country. This demographic is crucial as they often serve as primary caregivers, and their financial protection is vital for household well-being. We analyzed data from the 2020 Somali Health and Demographic Survey (SHDS) for 1,626 ever-married women. A multivariable logistic regression model was used to identify factors associated with personal health insurance coverage. The prevalence of personal health insurance coverage among ever-married women was notably low at 2.28% (95% CI: 1.55%, 3.01%). Multivariable logistic regression revealed significant associations between borrowing status, place of residence, region of residence, and personal health insurance coverage. Specifically, ever-married women in households that reported borrowing money demonstrated significantly elevated odds of possessing health insurance (AOR = 5.35, 95% CI: 2.52, 11.35), indicating the importance of access to credit and potential awareness of financial protection tools. Conversely, ever-married women residing in nomadic areas exhibited reduced odds of health insurance coverage relative to those in urban areas (AOR = 0.15, 95% CI: 0.03, 0.67). Ever-married women in the Bari region were less likely to have health coverage than those in the Awdal region (AOR = 0.095, 95% CI: 0.01–0.89), while women in the Bari region were less likely to have coverage, highlighting regional disparities linked to socio-economic and infrastructural challenges. With health insurance coverage for ever-married women in Somalia at just 2.28%, progress toward UHC is stalled. This study identifies borrowing status, nomadic lifestyle, and geographic location as the most significant factors. These findings present an urgent policy roadmap: promote financial inclusion by linking insurance to credit, develop culturally-sensitive schemes for mobile populations, and actively reduce regional disparities. These targeted interventions are critical for increasing insurance uptake and ensuring equitable healthcare access in Somalia.

Authors

Institutions

Publication Details

Journal
Discover Social Science and Health
Published
2026-02-01
DOI
https://doi.org/10.1007/s44155-026-00374-x
Primary Topic
Healthcare Systems and Reforms
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Factors associated with health insurance coverage among ever-married women in Somalia using 2020 health and demographic survey data

Abdisalam Hassan Muse, Hamse Adam Abdi, Eid Ibrahim Daud, Mustafa Hassan Dahir et al.
Discover Social Science and Health
Healthcare Systems and Reforms
article

Factors associated with health insurance coverage among ever-married women in Somalia using 2020 health and demographic survey data

Abdisalam Hassan Muse, Hamse Adam Abdi, Eid Ibrahim Daud, Mustafa Hassan Dahir, Mohamed Mohamoud Abdilleh
article en

Abstract

Achieving universal health coverage (UHC) requires effective financial risk protection mechanisms, with health insurance being a cornerstone. In Somalia’s fragile and under-researched context, the factors influencing health insurance adoption remain poorly understood. This study aims to identify socio-demographic determinants of personal health insurance coverage among ever-married women in Somalia, utilizing the first comprehensive national health and demographic data available for the country. This demographic is crucial as they often serve as primary caregivers, and their financial protection is vital for household well-being. We analyzed data from the 2020 Somali Health and Demographic Survey (SHDS) for 1,626 ever-married women. A multivariable logistic regression model was used to identify factors associated with personal health insurance coverage. The prevalence of personal health insurance coverage among ever-married women was notably low at 2.28% (95% CI: 1.55%, 3.01%). Multivariable logistic regression revealed significant associations between borrowing status, place of residence, region of residence, and personal health insurance coverage. Specifically, ever-married women in households that reported borrowing money demonstrated significantly elevated odds of possessing health insurance (AOR = 5.35, 95% CI: 2.52, 11.35), indicating the importance of access to credit and potential awareness of financial protection tools. Conversely, ever-married women residing in nomadic areas exhibited reduced odds of health insurance coverage relative to those in urban areas (AOR = 0.15, 95% CI: 0.03, 0.67). Ever-married women in the Bari region were less likely to have health coverage than those in the Awdal region (AOR = 0.095, 95% CI: 0.01–0.89), while women in the Bari region were less likely to have coverage, highlighting regional disparities linked to socio-economic and infrastructural challenges. With health insurance coverage for ever-married women in Somalia at just 2.28%, progress toward UHC is stalled. This study identifies borrowing status, nomadic lifestyle, and geographic location as the most significant factors. These findings present an urgent policy roadmap: promote financial inclusion by linking insurance to credit, develop culturally-sensitive schemes for mobile populations, and actively reduce regional disparities. These targeted interventions are critical for increasing insurance uptake and ensuring equitable healthcare access in Somalia.

Discover Social Science and HealthVol. 6(1)
University of Hargeisa (SO), Amoud University (SO)
Reduced inequalities
Openalex Percentile: Top 73%
Healthcare Systems and Reforms
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.