Current findings include spatial modelling of socioeconomic predictors of diabetes and hypertension service utilisation across Tanzania mainland. Additional CLIMATCH findings will be added as analyses are completed.
Bayesian spatial models identified socioeconomic factors associated with healthcare service utilisation for diabetes and hypertension across Tanzania mainland. Mobile phone ownership was the strongest positive predictor for both conditions, while household size was the strongest negative predictor for hypertension service utilisation.
Literacy, access to communication technologies, and household structure are associated with differences in diabetes and hypertension service utilisation. These inequalities should be considered when planning health communication, outreach, and access to chronic disease services.
IRR: incidence rate ratio. CrI: credible interval.
Peer-reviewed outputs from the CLIMATCH study will be listed here as they are published. All publications will indicate open-access status and include a direct link to the full text where available.
