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Pempa Pempa

Biographic Data

ID9023432
NAMEPempa Pempa
GIVEN NAMESPempa
FAMILY NAMEPempa
SIGNATUREPEMPA P
AFFILIATIONSMinistry of Agriculture and Forests
ORCID0000-0001-5642-2542
VERIFIEDYes
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2025
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Socioeconomic and regional inequalities in health-related quality of life in Bhutan

    Open Access•Md Mizanur Rahman, Ying Yao et al.•ARTICLE•Journal of Global Health•2026

    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 ass…

  • Valuing health across groups

    Open Access•Ying Yao, Mizanur Rahman et al.•ARTICLE•BMJ Global Health•2025

    INTRODUCTION: Context-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. METHODS: A WTP survey was conducted alongside the 2023 National Health Survey in Bhutan, sampling 1869 households. Using contingent valuation, respondents assigned …

  • Progress towards universal health coverage in South Asia, 2000–2030

    Open Access•Md Mizanur Rahman, Masako Ii et al.•ARTICLE•BMJ Global Health•2025

    BACKGROUND: Universal health coverage (UHC) is crucial for achieving Sustainable Development Goal (SDG) 3: Good Health and Well-being. This study projects UHC progress in seven South Asian countries by 2030, focusing on two crucial underpinning components, primary healthcare (PHC) service coverage and financial risk protection. METHODS: We applied Bayesian random-effects models to project UHC indicators linked to PHC and financial risk protection…

No prominent works on this page.

  • Valuing health across groups

    Open Access•Ying Yao, Mizanur Rahman et al.•ARTICLE•BMJ Global Health•2025

    INTRODUCTION: Context-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. METHODS: A WTP survey was conducted alongside the 2023 National Health Survey in Bhutan, sampling 1869 households. Using contingent valuation, respondents assigned …

  • Progress towards universal health coverage in South Asia, 2000–2030

    Open Access•Md Mizanur Rahman, Masako Ii et al.•ARTICLE•BMJ Global Health•2025

    BACKGROUND: Universal health coverage (UHC) is crucial for achieving Sustainable Development Goal (SDG) 3: Good Health and Well-being. This study projects UHC progress in seven South Asian countries by 2030, focusing on two crucial underpinning components, primary healthcare (PHC) service coverage and financial risk protection. METHODS: We applied Bayesian random-effects models to project UHC indicators linked to PHC and financial risk protection…

  • Socioeconomic and regional inequalities in health-related quality of life in Bhutan

    Open Access•Md Mizanur Rahman, Ying Yao et al.•ARTICLE•Journal of Global Health•2026

    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 ass…

Healthcare Systems and Reforms (3 works) · Health care (2 works) · Health Systems, Economic Evaluations, Quality of Life (2 works) · Population (2 works) · Socioeconomic status (2 works) · Agricultural risk and resilience (1 work) · Contingent valuation (1 work) · Demography (1 work) · Economic and Environmental Valuation (1 work) · Economic growth (1 work)

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