A model for locating preventive health care facilities

In this paper, we focus on the problem of locating preventive health care (PHC) facilities. The most important factors that promote participation rates in PHC programs include the establishment of an appropriate infrastructure and the provision of a satisfactory quality of care. For this purpose, we...

Full description

Saved in:
Bibliographic Details
Published in:Central European journal of operations research 2020-09, Vol.28 (3), p.1091-1121
Main Authors: Dogan, Kerim, Karatas, Mumtaz, Yakici, Ertan
Format: Article
Language:English
Subjects:
Business and Management
Health care
Health care facilities
Health facilities
Integer programming
Linear programming
Location
Mathematical models
Mathematical optimization
Mixed integer
Multiple objective analysis
Operations research
Operations Research/Decision Theory
Preventive medicine
Sensitivity analysis
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this paper, we focus on the problem of locating preventive health care (PHC) facilities. The most important factors that promote participation rates in PHC programs include the establishment of an appropriate infrastructure and the provision of a satisfactory quality of care. For this purpose, we develop a strategic level multi-objective mixed integer linear programming model for locating PHC facilities to ensure maximum participation and provide timely service to potential clients. We, then, apply the model to a case study of locating Cancer Early Diagnosis, Screening and Training Centers in Istanbul, Turkey and solve it considering the forecasted population of each district in Istanbul for the next 15 years. We also perform a sensitivity analysis to quantify the effect of different weighting strategies on the value of each term in the objective function.
ISSN:1435-246X
1613-9178
DOI:10.1007/s10100-019-00621-4