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The spatial analysis of multimorbidity in Thai Cohort Study
Xiyu Feng1,2, Haribondhu Sarma3,4, Nasser Bagheri5
1National Centre of Epidemiology and Population Health, the Australian National University, Canberra, Australia. u6453474@anu.edu.au.
Summary
Multimorbidity prevalence in Thailand is higher in developed areas, with hotspots identified in Bangkok and specific provinces. This spatial analysis helps target health resources to areas with the greatest need.
Area of Science:
- Public Health
- Epidemiology
- Spatial Analysis
Background:
- Investigated spatial and sociodemographic determinants of multimorbidity prevalence in Thailand using 2013 Thai Cohort Study (TCS) data.
- Multimorbidity, defined as the coexistence of two or more chronic conditions, presents a significant public health challenge.
Purpose of the Study:
- To identify spatial patterns and sociodemographic factors associated with multimorbidity prevalence across Thailand.
- To provide evidence for targeted public health interventions and resource allocation.
Main Methods:
- Calculated crude and age-adjusted multimorbidity prevalence at provincial and district levels.
- Employed hotspot analysis to detect statistically significant clusters of high (hotspots) and low (cold spots) prevalence.
- Utilized ordinal logistic regression to identify sociodemographic predictors of multimorbidity hotspots.
Main Results:
- Sing Buri province exhibited the highest age-adjusted provincial prevalence (18.26%), while Sak Lek District in Phichit Province had the highest district prevalence (37.13%).
- Cold spots for multimorbidity were concentrated in Southern Thailand.
- Forty-eight districts were identified as hotspots, with 19 located in Bangkok. Population density, aging index, and average educational years were significantly higher in hotspot areas.
Conclusions:
- Multimorbidity prevalence in Thailand correlates positively with regional development.
- Spatial cluster analysis offers crucial insights for policymakers to design tailored interventions and allocate health resources effectively to areas with unmet needs.
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