BackgroundIn China, retail pharmacies are critical sources for obtaining medications and play a vital role in residents’ daily access to drugs and treatment of common illnesses. Effectively guiding the placement of these pharmacies in areas of need through government regulation is crucial for enhancing medication access. In this study, we used population and retail pharmacy spatial distribution data from Shanghai to design guidance and supplementary methods for optimizing the spatial layout of retail pharmacies and medical insurance designated pharmacies based on regional characteristics.MethodsPopulation distribution, road traffic network, administrative division and retail pharmacy data from Shanghai in 2018 were collected from relevant government departments. ArcGIS 10.3 was used to map the retail pharmacies and population distribution. Based on the spatial distribution of population and the service standards of pharmacies, service circles with insufficient pharmacies were identified, and supplementary methods for retail pharmacies and medical insurance designated pharmacies were developed.ResultsIn 2018, Shanghai had 3009 retail pharmacies, each serving an average of 6412 residents. The city was divided into 2188 basic pharmaceutical service circles, each within a 15-minute walking distance. The results indicated that there were 1387 service circles without any pharmacies, 151 of which had populations exceeding 5000. Additionally, 356 service circles had pharmacies but lacked medical insurance designated ones. After supplementation, 841 retail pharmacies were planned to be added in residential areas. Compared with before, the coverage area and population served of the pharmacies increased significantly.ConclusionsThis study mapped the spatial distribution of population and retail pharmacies in Shanghai, and designed government guidance and supplementary methods for optimizing the layout of retail pharmacies. The findings offer valuable insights for government agencies in low- and middle-income countries to improve the spatial distribution of retail pharmacies.
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