Socioeconomic and regional inequalities in health-related quality of life in Bhutan: a nationally representative cross-sectional study

Background: Bhutan lacks comprehensive data on health-related quality of life (HRQoL) despite its growing population and rising disease burden. This study provides the first national and subnational assessment of HRQoL inequalities and their determinants in Bhutan's general population. Methods: We analysed data from 11 340 adults aged ≥15 years from the 2023 Bhutan National Health Survey, a nationally representative cross-sectional survey. We assessed health status using the EuroQol 5-Dimension 5 Level (EQ-5D-5L) descriptive system and the EuroQol Visual Analogue Scale (EQ-VAS). We used regression analyses to examine factors associated with HRQoL and individual EQ-5D-5L dimensions, as well as concentration, slope, and relative indices of inequality to assess national and subnational socioeconomic disparities. Results: Pain/discomfort was the most commonly reported EQ-5D-5L problem (38%; 95% confidence interval (CI) = 36, 40), followed by mobility limitations and anxiety/depression (both 14%; 95% CI = 13, 15). The mean EQ-5D-5L score was 0.95 (standard deviation (SD) = 0.10), and the mean EQ-VAS score was 77.06 (SD = 17.44). HRQoL was lower among women, older respondents, those with lower education, unemployed individuals, rural residents, and those with poorer dietary habits. In regression analyses, older age and rural residence were consistently associated with higher odds of reported problems, while higher education was protective across all EQ-5D-5L dimensions. Higher household expenditure was generally associated with higher EQ-5D and EQ-VAS scores, but the richest quintile also had higher odds of reporting problems in several individual dimensions. Inequality analyses showed larger disparities by education and area of residence than by wealth, with broadly similar patterns across gender groups and across EQ-5D and EQ-VAS scores. Conclusions: Significant socioeconomic, geographic, and behavioural disparities in HRQoL exist in Bhutan, with inequalities more pronounced by education and area of residence than by wealth. Targeted interventions for less-educated and rural populations, alongside efforts to promote healthier diets, are needed to help mitigate these inequities.

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Journal
Journal of Global Health
Published
2026-05-29
DOI
https://doi.org/10.7189/jogh.16.04151
Primary Topic
Health Systems, Economic Evaluations, Quality of Life
Type
article
Field-Weighted Citation Impact
0.00

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article

Socioeconomic and regional inequalities in health-related quality of life in Bhutan: a nationally representative cross-sectional study

Pempa Pempa, Thomas Rouyard, Y Teerawattananon, Ryota Nakamura et al.
Journal of Global Health
Health Systems, Economic Evaluations, Quality of Life
article

Socioeconomic and regional inequalities in health-related quality of life in Bhutan: a nationally representative cross-sectional study

Pempa Pempa, Thomas Rouyard, Y Teerawattananon, Ryota Nakamura, Ying Yao, Md Mizanur Rahman
article en

Abstract

Background: Bhutan lacks comprehensive data on health-related quality of life (HRQoL) despite its growing population and rising disease burden. This study provides the first national and subnational assessment of HRQoL inequalities and their determinants in Bhutan's general population. Methods: We analysed data from 11 340 adults aged ≥15 years from the 2023 Bhutan National Health Survey, a nationally representative cross-sectional survey. We assessed health status using the EuroQol 5-Dimension 5 Level (EQ-5D-5L) descriptive system and the EuroQol Visual Analogue Scale (EQ-VAS). We used regression analyses to examine factors associated with HRQoL and individual EQ-5D-5L dimensions, as well as concentration, slope, and relative indices of inequality to assess national and subnational socioeconomic disparities. Results: Pain/discomfort was the most commonly reported EQ-5D-5L problem (38%; 95% confidence interval (CI) = 36, 40), followed by mobility limitations and anxiety/depression (both 14%; 95% CI = 13, 15). The mean EQ-5D-5L score was 0.95 (standard deviation (SD) = 0.10), and the mean EQ-VAS score was 77.06 (SD = 17.44). HRQoL was lower among women, older respondents, those with lower education, unemployed individuals, rural residents, and those with poorer dietary habits. In regression analyses, older age and rural residence were consistently associated with higher odds of reported problems, while higher education was protective across all EQ-5D-5L dimensions. Higher household expenditure was generally associated with higher EQ-5D and EQ-VAS scores, but the richest quintile also had higher odds of reporting problems in several individual dimensions. Inequality analyses showed larger disparities by education and area of residence than by wealth, with broadly similar patterns across gender groups and across EQ-5D and EQ-VAS scores. Conclusions: Significant socioeconomic, geographic, and behavioural disparities in HRQoL exist in Bhutan, with inequalities more pronounced by education and area of residence than by wealth. Targeted interventions for less-educated and rural populations, alongside efforts to promote healthier diets, are needed to help mitigate these inequities.

Journal of Global HealthVol. 16
Hitotsubashi University (JP), Ministry of Public Health (TH), National University of Singapore (SG), City University of New York (US), Keio University (JP), Health Intervention and Technology Assessment Program (TH), London School of Hygiene & Tropical Medicine (GB), National University Health System (SG)
Japan Society for the Promotion of Science
No poverty
Openalex Percentile: Top 3%
Health Systems, Economic Evaluations, Quality of Life
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