Investigating geographical accessibility and site suitability of medical laboratories in Kermanshah-Iran

• Published in: Frontiers in public health Vol. 10; p. 1004377
• Main Authors: Almasi, Ali, Reshadat, Sohyla, Zangeneh, Alireza, Khezeli, Mehdi, Rajabi Gilan, Nader, Saeidi, Shahram
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Media S.A 16.12.2022
• Subjects: accessibility; Cross-Sectional Studies; geographic information system (GIS); Geographic Information Systems; health services; Health Services Accessibility; Iran - epidemiology; Laboratories; medical laboratory centers (MLCs); Public Health; spatial analyses; Iran; geographic information system (GIS); accessibility; health services; medical laboratory centers (MLCs); spatial analyses
• ISSN: 2296-2565; 2296-2565
• DOI: 10.3389/fpubh.2022.1004377

One of the major challenges in developing countries is the inappropriate spatial distribution of medical laboratory centers (MLCs) which can lead to injustice in access to health services. This study aimed to investigate the accessibility to and site suitability of MLCs in Kermanshah Metropolis by GIS. In this cross-sectional study, data were collected from the Iran Statistical Center and Deputy of Treatment of Kermanshah University of Medical Sciences. We used Arc/GIS 10.6 software, AHP technique, and network analysis tools to determine the access status of Kermanshah citizens to MLCs in 2019 and site selection for MLCs. The layers used in this study included population density, city development trends, compatible and incompatible land uses, pathways, land slope, river area, and access radius. About 70% of households had inappropriate access to all MLCs in walking scenario. This ratio was 31.26% for 5 min, 9.58% for 10 min, and 6.09% for 15 min driving. Comparisons between public and private MLCs showed that in walking scenario, 88% of households had improper access to public and 80% to private MLCs. Based on 5 and 10 min of driving, 57 and 19% of households had inappropriate access to public MLCs, and 45 and 17% to private MLCs, respectively. Also, with 15 min of driving, 8% of households had improper access to public and 18% to private MLCs. Findings showed that scores provided for population density criteria were (0.298), distance from existing laboratories (0.213), proximity to pathways (0.175), consistent land use (0.129), city development trend (0.087), distance from riverfront (0.053), distance from incompatible land uses (0.015), and land slope (0.03). The final model was obtained by overlaying the layers. The model showed a 9-degree range from very bad to very good in Kermanshah city for the construction of laboratory centers (CR<0.01). The site selection model showed that the location of the proposed centers can be in the north and outskirts of the city to facilitate citizens' access to the MLCs. These results emphasize the justice in the spatial distribution of MLCs for the benefit of deprived populations as a global value.