Improving access to care and community health in Haiti with optimized community health worker placement.

Clara Champagne, Andrew Sunil Rajkumar, Paul Auxila, Giulia Perrone, Marvin Plötz, Alyssa Young, Samuel Bazaz Jazayeri, Harriet G Napier, Arnaud Le Menach, Katherine Battle, Punam Amratia, Ewan Cameron, Jean-Patrick Alfred, Yves-Gaston Deslouches, Emilie Pothin
Author Information
  1. Clara Champagne: Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel, Switzerland. ORCID
  2. Andrew Sunil Rajkumar: World Bank, Washington, DC, United States of America.
  3. Paul Auxila: Global Financing Facility, Port-au-Prince, Haiti.
  4. Giulia Perrone: Global Fund, Geneva, Switzerland.
  5. Marvin Plötz: World Bank, Washington, DC, United States of America.
  6. Alyssa Young: Clinton Health Access Initiative, Port-au-Prince, Haiti.
  7. Samuel Bazaz Jazayeri: Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel, Switzerland.
  8. Harriet G Napier: Clinton Health Access Initiative, Boston, MA, United States of America. ORCID
  9. Arnaud Le Menach: Clinton Health Access Initiative, Boston, MA, United States of America.
  10. Katherine Battle: Institute for Disease Modeling, Seattle, WA, United States of America.
  11. Punam Amratia: Telethon Kids Institute, Perth, Australia. ORCID
  12. Ewan Cameron: Telethon Kids Institute, Perth, Australia.
  13. Jean-Patrick Alfred: Ministère de la santé publique et de la population, Port-au-Prince, Haiti.
  14. Yves-Gaston Deslouches: Ministère de la santé publique et de la population, Port-au-Prince, Haiti.
  15. Emilie Pothin: Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel, Switzerland.

Abstract

The national deployment of polyvalent community health workers (CHWs) is a constitutive part of the strategy initiated by the Ministry of Health to accelerate efforts towards universal health coverage in Haiti. Its implementation requires the planning of future recruitment and deployment activities for which mathematical modelling tools can provide useful support by exploring optimised placement scenarios based on access to care and population distribution. We combined existing gridded estimates of population and travel times with optimisation methods to derive theoretical CHW geographical placement scenarios including constraints on walking time and the number of people served per CHW. Four national-scale scenarios that align with total numbers of existing CHWs and that ensure that the walking time for each CHW does not exceed a predefined threshold are compared. The first scenario accounts for population distribution in rural and urban areas only, while the other three also incorporate in different ways the proximity of existing health centres. Comparing these scenarios to the current distribution, insufficient number of CHWs is systematically identified in several departments and gaps in access to health care are identified within all departments. These results highlight current suboptimal distribution of CHWs and emphasize the need to consider an optimal (re-)allocation.

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Word Cloud

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