Abstract

The population of truck drivers plays a key role in the spread of HIV and other infectious diseases in sub‐Saharan Africa. Truck drivers thereby affect the health and lives of many, but also suffer from poor health and significantly reduced life expectancy themselves. Due to professional circumstances, their health service needs are generally not well addressed. Therefore, the non‐governmental organization North Star Alliance builds a network of healthcare facilities along the largest trucking routes in sub‐Saharan Africa. This paper studies the problem where to place additional facilities, and which health service packages to offer at each facility. The objective combines the maximization of the patient volume at these facilities and the maximization of the effectiveness of the health service delivery to the population served. The latter criterion is modeled through three novel access measures which capture the needs for effective service provisioning. The resulting optimization problem is essentially different from previously studied healthcare facility location problems because of the specific mobile nature of health service demand of truck drivers. Applying our model to the network of major transport corridors in South‐East Africa, we investigate several prominent questions managers and decision‐makers face. We show that the present network expansion strategy, which primarily focuses on patient volumes, may need to be reconsidered: substantial gains in effectiveness can be made when allowing a small reduction in patient volumes. We furthermore show that solutions are rather robust to data impreciseness and that long‐term network planning can bring substantial benefits, particularly in greenfield situations.

Highlights

  • Sub-Saharan African truck drivers work under difficult conditions

  • This working environment has been shown to be conducive to their engagement in behaviors that bring about high risks of communicable diseases such as tuberculosis (TB), malaria, HIV, and other sexually transmitted infections (STIs)

  • This study focuses on important managerial network design challenges/ questions that were identified during our collaboration and conversations with North Star and were not addressed in earlier work related to our topic

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Summary

Introduction

Sub-Saharan African truck drivers work under difficult conditions. Their trips last up to several weeks, during which time they are separated from their spouses and social-cultural norms and in which they are challenged by monotonity, risk of hijacking, loneliness, and long waiting times at border posts. We pursue these five objectives by modeling and studying the roadside healthcare facility location problem (RHFLP): Given an existing transportation network and set of RWCs, and a limited expansion budget, where to place additional RWCs, and which service packages should each of the RWCs offer, so as to maximize a weighted sum of health service effectiveness and volume of truck drivers served? The research presented by Ares et al (2016) forms a first publication that spun off from this project They analyze the problem of locating a fixed number of clinics based on the objectives to enhance equity of access to healthcare and to maximize patient volume and effectiveness.

Literature Review
Continuous Access
Optimization Criteria
Numerical Analysis
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Discussion and Conclusions
Findings
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