https://doi.org/10.4081/gh.2025.1329
Spatial association of socioeconomic and health service factors with antibiotic self-medication in Thailand
Submitted: 25 July 2024
Accepted: 11 December 2024
Published: 27 January 2025
Accepted: 11 December 2024
Abstract Views: 137
PDF: 20
Supplementary Materials: 5
Supplementary Materials: 5
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All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Authors
Antibiotic Self-Medication (ASM) is a major contributing factor to Antimicrobial Resistance (AMR) that can lead to both mortality and long-term hospitalizations. High provincial ASM proportions associated with mortality due to AMR have been observed in Thailand but there is a lack of studies on geographic factors contributing to ASM. The present study aimed to quantify the distribution of ASM in Thailand and its correlated factors. Socioeconomic and health services factors were included in the spatial analysis. Moran’s I was performed to identify global autocorrelation with the significance level set at p=0.05 and spatial regression were applied to identify the factors associated with ASM, the proportion of which is predominant in the north-eastern, central and eastern regions with Phitsanulok Province reporting the highest proportion of Thailand’s 77 provinces. Autocorrelation between Night-Time Light (NTL) and the proportion of ASM was observed to be statistically significant at p=0.030. The Spatial Lag Model (SLM) and the Spatial Error Model (SEM) were used with the latter providing both the lowest R2 and Akaike Information Criterion (AIC). It was demonstrated that the proportion of alcohol consumption significantly increased the proportion of ASM. The annual number of outpatient department visits and the average NTL decreased the proportion of ASM by 1.5% and 0.4%, respectively. Average monthly household expenditures also decreased the ASM proportion. Policies to control alcohol consumption while promoting healthcare visits are essential strategies to mitigate the burden of AMR in Thailand.
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How to Cite
Darasawang, W., Laohasiriwong, W., Sornlorm , K., Sungsitthisawad, W., & Kumar Mahato, R. (2025). Spatial association of socioeconomic and health service factors with antibiotic self-medication in Thailand. Geospatial Health, 20(1). https://doi.org/10.4081/gh.2025.1329
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