Abstract
This paper presents a stochastic optimisation model for locating walk-in clinics for mobile populations in a network. The walk-in clinics ensure a continuum of care for the mobile population across the network by offering a perpetuation of services along the transportation lines, and also establishing referral systems to local healthcare facilities. The continuum of care requirements for different diseases is modelled using coverage definitions that are designed specifically to reflect the adherence protocols for services for different diseases. The risk of not providing the required care under different realisations of health service demand is considered. In this paper, for a multi-disease, multi-service environment, we propose a model to determine the location of roadside walk-in clinics and their assigned services. The objective is to maximise the total expected weighted coverage of the network subject to a Conditional-Value-at-Risk (CVaR) measure. This paper presents developed coverage definitions, the optimisation model and the computational study carried out on a real-life case in Africa.
| Original language | English |
|---|---|
| Article number | 100755 |
| Number of pages | 16 |
| Journal | Socio-Economic Planning Sciences |
| Volume | 71 |
| DOIs | |
| Publication status | Published - Sept 2020 |
Funding
First author was a student of TU/e & METU Industrial Engineering's double degree program. She began this study while working as a graduate intern in North Star, and later continued her research during her MS studies, see Taymaz (2013) for further information. The authors would like extend their gratitude to H. de Vries for discussions during the project, and to North Star, ORTEC and healthcare professionals working in collaboration with North Star for providing healthcare insight and input data.
Keywords
- Conditional-value-at-risk
- Continuum of care
- Facility location with coverage
- Humanitarian logistics
- Stochastic programming