Evidence map›Paper›PMID 40840968›Full record

ArticleBMJ global health2025

Valuing health across groups: a cross-sectional population-based willingness-to-pay survey in Bhutan.

Ying Yao, Md Mizanur Rahman, Pempa, Yot Teerawattananon, Ryota Nakamura

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Article in BMJ global health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Ying YaoFaculty of Economics, Keio University, Tokyo, Japan.ORCID 0000-0003-4494-0259
Md Mizanur RahmanHitotsubashi Institute for Advanced Study, Hitotsubashi University, Tokyo, Japan.
PempaDepartment of Health Services, Ministry of Health, Thimphu, Bhutan.
Yot TeerawattananonHealth Intervention and Technology Assessment Program, Ministry of Public Health, Nonthaburi, Thailand.
Ryota NakamuraDepartment of Global Health and Development, London School of Hygiene & Tropical Medicine, London, UK ryota.nakamura@lshtm.ac.uk.ORCID 0000-0002-3217-6452

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionContext-specific cost-effectiveness thresholds (CETs) informed by societal willingness to pay (WTP) are crucial for healthcare resource allocation in low- and middle-income countries. This study investigated WTP for health per quality-adjusted life year (QALY) in Bhutan.

methodsA WTP survey was conducted alongside the 2023 National Health Survey in Bhutan, sampling 1869 households. Using contingent valuation, respondents assigned monetary values to three hypothetical scenarios: 1 year of cancer symptom-free life, 1 year of perfect health and 5 years of perfect health. We used generalised linear regression to estimate WTP, controlling for demographic, socioeconomic and health-related factors, as well as elicitation methods. Multilevel analyses examined WTP variations within and between districts.

resultsWTP estimates were 76 836 Bhutanese ngultrum (BTN) (0.26 times gross domestic product (GDP) per capita; 95% CI: 71 397 to 82 275) for a year without cancer symptoms, 104 381 BTN (0.35 times GDP per capita; 95% CI: 96 405 to 112 357) for 1 QALY and 235 237 BTN (0.78 times GDP per capita; 95% CI: 218 674 to 251 800) for 5 QALYs. WTP variations were driven by within-district individual characteristics, particularly income and education, rather than between-district differences.

conclusionMinimal between-district WTP variations support a national-level CET for Bhutan. However, WTP-based CETs would be biased upward by wealthier and more educated groups. This bias could justify expensive technologies that strain public resources in Bhutan's government-funded healthcare system.

Indexed as

Financing, PersonalQuality-Adjusted Life YearsAdolescentAdultAgedBhutanCost-Benefit AnalysisCross-Sectional StudiesFemaleHealth SurveysHumansMaleMiddle AgedYoung AdultCross-sectional surveyHealth economicsHealth policy

Identifiers

PMID40840968
PMCPMC12374658

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.