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How to estimate health service coverage in 58 districts of Benin with no survey data: Using hybrid estimation to fill the gaps

Ocampo, Alex, Valadez, Joseph ORCID:, Hedt-Gauthier, Bethany and Pagano, Marcello (2022) 'How to estimate health service coverage in 58 districts of Benin with no survey data: Using hybrid estimation to fill the gaps'. PLOS Global Public Health, Vol 2, Issue 5, e0000178.

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The global movement to use routine information for managing health systems to achieve the Sustainable Development Goals, relies on administrative data which have inherent biases when used to estimate coverage with health services. Health policies and interventions planned with incorrect information can have detrimental impacts on communities. Statistical inferences using administrative data can be improved when they are combined with random probability survey data. Sometimes, survey data are only available for some districts. We present new methods for extending combined estimation techniques to all districts by combining additional data sources. Our study uses data from a probability survey (n = 1786) conducted during 2015 in 19 of Benin’s 77 communes and administrative count data from all of them for a national immunization day (n = 2,792,803). Communes are equivalent to districts. We extend combined-data estimation from 19 to 77 communes by estimating denominators using the survey data and then building a statistical model using population estimates from different sources to estimate denominators in adjacent districts. By dividing administrative numerators by the model-estimated denominators we obtain extrapolated hybrid prevalence estimates. Framing the problem in the Bayesian paradigm guarantees estimated prevalence rates fall within the appropriate ranges and conveniently incorporates a sensitivity analysis. Our new methodology, estimated Benin’s polio vaccination rates for 77 communes. We leveraged probability survey data from 19 communes to formulate estimates for the 58 communes with administrative data alone; polio vaccination coverage estimates in the 58 communes decreased to ranges consistent with those from the probability surveys (87%, standard deviation = 0.09) and more credible than the administrative estimates. Combining probability survey and administrative data can be extended beyond the districts in which both are collected to estimate coverage in an entire catchment area. These more accurate results will better inform health policy-making and intervention planning to reduce waste and improve health in communities.

Item Type: Article
Subjects: WA Public Health > WA 30 Socioeconomic factors in public health (General)
WA Public Health > Health Administration and Organization > WA 540 National and state health administration
WA Public Health > Health Administration and Organization > WA 546 Local Health Administration. Community Health Services
WA Public Health > Statistics. Surveys > WA 900 Public health statistics
WA Public Health > Statistics. Surveys > WA 950 Theory or methods of medical statistics. Epidemiologic methods
Repository link:
Item titleItem URI
Lot Quality Assurance Sampling Bénin data (Child Health Days 2015 campaign).
Faculty: Department: Clinical Sciences & International Health > International Public Health Department
Digital Object Identifer (DOI):
SWORD Depositor: JISC Pubrouter
Depositing User: JISC Pubrouter
Date Deposited: 15 Jun 2022 13:29
Last Modified: 16 Jun 2023 08:51


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