Measuring the availability of human resources for health and its relationship to universal health coverage for 204 countries and territories from 1990 to 2019: a systematic analysis for the Global Burden of Disease Study 2019
University of Washington · Institute for Health Metrics and Evaluation
Abstract
Human resources for health (HRH) include a range of occupations that aim to promote or improve human health. The UN Sustainable Development Goals (SDGs) and the WHO Health Workforce 2030 strategy have drawn attention to the importance of HRH for achieving policy priorities such as universal health coverage (UHC). Although previous research has found substantial global disparities in HRH, the absence of comparable cross-national estimates of existing workforces has hindered efforts to quantify workforce requirements to meet health system goals. We aimed to use comparable and standardised data sources to estimate HRH densities globally, and to examine the relationship between a subset of HRH cadres and UHC effective coverage performance.
Through the International Labour Organization and Global Health Data Exchange databases, we identified 1404 country-years of data from labour force surveys and 69 country-years of census data, with detailed microdata on health-related employment. From the WHO National Health Workforce Accounts, we identified 2950 country-years of data. We mapped data from all occupational coding systems to the International Standard Classification of Occupations 1988 (ISCO-88), allowing for standardised estimation of densities for 16 categories of health workers across the full time series. Using data from 1990 to 2019 for 196 of 204 countries and territories, covering seven Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) super-regions and 21 regions, we applied spatiotemporal Gaussian process regression (ST-GPR) to model HRH densities from 1990 to 2019 for all countries and territories. We used stochastic frontier meta-regression to model the relationship between the UHC effective coverage index and densities for the four categories of health workers enumerated in SDG indicator 3.c.1 pertaining to HRH: physicians, nurses and midwives, dentistry personnel, and pharmaceutical personnel. We identified minimum workforce density thresholds required to meet a specified target of 80 out of 100 on the UHC effective coverage index, and quantified national shortages with respect to those minimum thresholds.
Citation impact
- FWCI
- 102.26
- Percentile
- 100%
- References
- 59
Authors
186- AHAnnie Haakenstad
University of Washington, Institute for Health Metrics and Evaluation
- CMCaleb Mackay Salpeter Irvine
University of Washington, Institute for Health Metrics and Evaluation
- MKMegan Knight
University of Washington, Institute for Health Metrics and Evaluation
- CBCorinne Bintz
University of Washington, Institute for Health Metrics and Evaluation
- AYAleksandr Y. Aravkin
University of Washington, Institute for Health Metrics and Evaluation
Topics & keywords
- Global health
- Universal coverage
- Environmental health
- Human health
- Developing country
- Public health
- Medicine
- Development economics
Funding
- BABill and Melinda Gates Foundation
- AVAlexander von Humboldt-Stiftung
- UOUniversity of Minnesota
- TUTulane University
- CWCase Western Reserve University
- UOUniversity of Baghdad
- AGArabian Gulf University
- NSNova Southeastern University
- SHSheffield Hallam University
- BHBrien Holden Vision Institute
- IDIstituto di Ricerche Farmacologiche Mario Negri - IRCCS
- ABAhmadu Bello University
- TĐTrường Đại học Nguyễn Tất Thành
- TĐTrường Đại học Duy Tân
- UOUniversity of Embu
- TUTribhuvan University
- MUMaragheh University of Medical Sciences
- NINational Institute of Mental Health and Neurosciences
- HBHamad Bin Khalifa University
- ICImperial College London
- UCUniversity College London
- UOUniversity of Oxford
- MUMacquarie University
- SASouth African Medical Research Council
- UOUniversity of New South Wales
- DUDeakin University
- JCJames Cook University
- UUUniversiteit Utrecht
- PHPublic Health England
- BFBundesministerium für Bildung und Forschung
- KSKing Saud University
- CUCairo University
- PUPohang University of Science and Technology
- AUAmirkabir University of Technology
- KUKhalifa University of Science, Technology and Research
- UMUniversiti Malaya
- USUniversiteit Stellenbosch
- CUChinese University of Hong Kong
- ASAkademiska Sjukhuset
- UDUniversidade de São Paulo
- UDUniversitat de Barcelona
- OYOulun Yliopisto
- UUUppsala Universitet
- UFUniversidade Federal de Santa Catarina
- NRNational Research University Higher School of Economics
- UOUniversity of Agriculture, Faisalabad
- UOUniversity Of Nigeria Nsukka
- LULorestan University of Medical Sciences
- KUKurdistan University Of Medical Sciences
- WSWestern Sydney University
- MIMoscow Institute of Physics and Technology
- CSCochrane South Africa
- DFDirectorate for Biological Sciences
- COCollege of Science and Engineering, University of Minnesota
- MRMedical Research Council
- RARussian Academy of Sciences
- SMSydney Medical School
- FOFaculty of Medicine and Health, University of Sydney
- NINational Institute of Mental Health