ArticleFrontiers in health services2026
Mapping healthcare service utilisation for diabetes and hypertension in Tanzania mainland: bayesian spatial modeling.
Article in Frontiers in health services, 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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Abstract
Diabetes and hypertension pose a growing non-communicable disease (NCD) burden in sub-Saharan Africa. However, in most countries, healthcare service provision remains uneven and there are no comprehensive methods for monitoring service use. We mapped and modeled district-level patient healthcare service utilisation for diabetes and hypertension in mainland Tanzania to identify spatial patterns and socio-demographic correlates using Bayesian spatial models. We analyzed district-level diabetes and hypertension healthcare service utilisation rates collected from health care facilities in 2024. All 184 districts of Tanzania mainland were included. Huge geographic disparities in healthcare service utilisation were observed across different districts. Diabetes and hypertension healthcare service utilisation were consistently highest in urban districts such as Kinondoni, Ilala, Arusha urban, and Iringa urban, and lowest in rural districts such as Namtumbo, Tunduru, Sikonge, and Mlele. Significant spatial clustering was detected for hypertension (Moran's I = 0.173,
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