Improving the efficiency of scale-up and deployment of community health workers in Mali: A geospatial analysis.

ABSTRACT: Optimising the scale and deployment of community health workers (CHWs) is important for maximizing geographical accessibility of integrated primary health care (PHC) services. Yet little is known about approaches for doing so. We used geospatial analysis to model optimised scale-up and deployment of CHWs in Mali, to inform strategic and operational planning by the Ministry of Health and Social Development. Accessibility catchments were modelled based on travel time, accounting for barriers to movement. We compared geographic coverage of the estimated population, under-five deaths, and plasmodium falciparum (Pf) malaria cases across different hypothetical optimised CHW networks and identified surpluses and deficits of CHWs compared to the existing CHW network. A network of 15 843 CHW, if op

SUBMITTER: Oliphant NP 

PROVIDER: S-EPMC10021816 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature