Spatial association of socioeconomic and health service factors with antibiotic self-medication in Thailand
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 geo...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
PAGEPress Publications
2025-01-01
|
| Series: | Geospatial Health |
| Subjects: | |
| Online Access: | https://www.geospatialhealth.net/gh/article/view/1329 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832583881962815488 |
|---|---|
| author | Worrayot Darasawang Wongsa Laohasiriwong Kittipong Sornlorm Warangkana Sungsitthisawad Roshan Kumar Mahato |
| author_facet | Worrayot Darasawang Wongsa Laohasiriwong Kittipong Sornlorm Warangkana Sungsitthisawad Roshan Kumar Mahato |
| author_sort | Worrayot Darasawang |
| collection | DOAJ |
| description |
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.
|
| format | Article |
| id | doaj-art-45d951e37d634d218b6539827e78929e |
| institution | Kabale University |
| issn | 1827-1987 1970-7096 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | PAGEPress Publications |
| record_format | Article |
| series | Geospatial Health |
| spelling | doaj-art-45d951e37d634d218b6539827e78929e2025-01-28T02:39:04ZengPAGEPress PublicationsGeospatial Health1827-19871970-70962025-01-0120110.4081/gh.2025.1329Spatial association of socioeconomic and health service factors with antibiotic self-medication in ThailandWorrayot Darasawang0https://orcid.org/0000-0003-4119-078XWongsa Laohasiriwong1Kittipong Sornlorm 2https://orcid.org/0000-0002-2734-0764Warangkana Sungsitthisawad3Roshan Kumar Mahato4https://orcid.org/0000-0001-9287-2743Faculty of Public Health, Khon Kaen University, Khon KaenFaculty of Public Health, Khon Kaen University, Khon KaenFaculty of Public Health, Khon Kaen University, Khon KaenFaculty of Public Health, Khon Kaen University, Khon KaenFaculty of Public Health, Khon Kaen University, Khon Kaen 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. https://www.geospatialhealth.net/gh/article/view/1329Antibiotic self-medicationNTLsProportion of alcohol consumptionThailand |
| spellingShingle | Worrayot Darasawang Wongsa Laohasiriwong Kittipong Sornlorm Warangkana Sungsitthisawad Roshan Kumar Mahato Spatial association of socioeconomic and health service factors with antibiotic self-medication in Thailand Geospatial Health Antibiotic self-medication NTLs Proportion of alcohol consumption Thailand |
| title | Spatial association of socioeconomic and health service factors with antibiotic self-medication in Thailand |
| title_full | Spatial association of socioeconomic and health service factors with antibiotic self-medication in Thailand |
| title_fullStr | Spatial association of socioeconomic and health service factors with antibiotic self-medication in Thailand |
| title_full_unstemmed | Spatial association of socioeconomic and health service factors with antibiotic self-medication in Thailand |
| title_short | Spatial association of socioeconomic and health service factors with antibiotic self-medication in Thailand |
| title_sort | spatial association of socioeconomic and health service factors with antibiotic self medication in thailand |
| topic | Antibiotic self-medication NTLs Proportion of alcohol consumption Thailand |
| url | https://www.geospatialhealth.net/gh/article/view/1329 |
| work_keys_str_mv | AT worrayotdarasawang spatialassociationofsocioeconomicandhealthservicefactorswithantibioticselfmedicationinthailand AT wongsalaohasiriwong spatialassociationofsocioeconomicandhealthservicefactorswithantibioticselfmedicationinthailand AT kittipongsornlorm spatialassociationofsocioeconomicandhealthservicefactorswithantibioticselfmedicationinthailand AT warangkanasungsitthisawad spatialassociationofsocioeconomicandhealthservicefactorswithantibioticselfmedicationinthailand AT roshankumarmahato spatialassociationofsocioeconomicandhealthservicefactorswithantibioticselfmedicationinthailand |