Hybrid prevalence estimation: Method to improve intervention coverage estimations.

ABSTRACT: Delivering excellent health services requires accurate health information systems (HIS) data. Poor-quality data can lead to poor judgments and outcomes. Unlike probability surveys, which are representative of the population and carry accuracy estimates, HIS do not, but in many countries the HIS is the primary source of data used for administrative estimates. However, HIS are not structured to detect gaps in service coverage and leave communities exposed to unnecessary health risks. Here we propose a method to improve informatics by combining HIS and probability survey data to construct a hybrid estimator. This technique provides a more accurate estimator than either data source alone and facilitates informed decision-making. We use data from vitamin A and polio vaccination campaigns in chi

SUBMITTER: Jeffery C 

PROVIDER: S-EPMC6304954 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature