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Optimal distribution of medical backpacks and health surveillance assistants in Malawi

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  • Amber Kunkel
  • Elizabeth Itallie
  • Duo Wu

Abstract

Despite recent progress, Malawi continues to perform poorly on key health indicators such as child mortality and life expectancy. These problems are exacerbated by a severe lack of access to health care. Health Surveillance Assistants (HSAs) help bridge this gap by providing community-level access to basic health care services. However, the success of these HSAs is limited by a lack of supplies and long distances between HSAs and patients. To address this issue, we used large-scale weighted p-median and capacitated facility location problems to create a scalable, three-tiered plan for optimal allocation of HSAs, HSA designated medical backpacks, and backpack resupply centers. Our analysis uses real data on the location and characteristics of hospitals, health centers, and the general population. In addition to offering specific recommendations for HSA, backpack, and resupply center locations, it provides general insights into the scope of the proposed HSA backpack program scale-up. In particular, it demonstrates the importance of local health centers to the resupply network. The proposed assignments are robust to changes in the underlying population structure, and could significantly improve access to medical supplies for both HSAs and patients. Copyright Springer Science+Business Media New York 2014

Suggested Citation

  • Amber Kunkel & Elizabeth Itallie & Duo Wu, 2014. "Optimal distribution of medical backpacks and health surveillance assistants in Malawi," Health Care Management Science, Springer, vol. 17(3), pages 230-244, September.
  • Handle: RePEc:kap:hcarem:v:17:y:2014:i:3:p:230-244
    DOI: 10.1007/s10729-013-9258-7
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    Cited by:

    1. Caleb C. Fast & Illya V. Hicks, 2017. "A Branch Decomposition Algorithm for the p -Median Problem," INFORMS Journal on Computing, INFORMS, vol. 29(3), pages 474-488, August.

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