The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
The global health workforce stock and distribution in 2020 and 2030: a threat to equity and ‘universal’ health coverage?
Open accessAbstract
Objective: The 2016 Global Strategy on Human Resources for Health: Workforce 2030 projected a global shortage of 18 million health workers by 2030. This article provides an assessment of the health workforce stock in 2020 and presents a revised estimate of the projected shortage by 2030. Methods: Latest data reported through WHO’s National Health Workforce Accounts (NHWA) were extracted to assess health workforce stock for 2020. Using a stock and flow model, projections were computed for the year 2030. The global health workforce shortage estimation was revised. Results: In 2020, the global workforce stock was 29.1 million nurses, 12.7 million medical doctors, 3.7 million pharmacists, 2.5 million dentists, 2.2 million midwives and 14.9 million additional occupations, tallying to 65.1 million health workers. It was not equitably distributed with a 6.5-fold difference in density between high-income and low-income countries. The projected health workforce size by 2030 is 84 million health workers. This represents an average growth of 29% from 2020 to 2030 which is faster than the population growth rate (9.7%). This reassessment presents a revised global health workforce shortage of 15 million health workers in 2020 decreasing to 10 million health workers by 2030 (a 33% decrease globally). WHO African and Eastern Mediterranean regions’ shortages are projected to decrease by only 7% and 15%, respectively. Conclusions: The latest NHWA data show progress in the increasing size of the health workforce globally as more jobs are and will continue to be created in the health economy. It however masks considerable inequities, particularly in WHO African and Eastern Mediterranean regions, and alarmingly among the 47 countries on the WHO Support and Safeguards List. Progress should be acknowledged with caution considering the immeasurable impact of COVID-19 pandemic on health workers globally.
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Cites
International Labour Organization
(2022) · Permanent Missions to the United Nations · doi:10.18356/9789210018289c229 · Cited by 4,331
Lozano, R., Fullman, N., Abate, D., Abay, S. M., Abbafati, C., Abbasi, N., Abbastabar, H., Abd-Allah, F., Abdela, J., Abdelalim, A., et al. (2018) · The Lancet · doi:10.1016/s0140-6736(18)32281-5 · Cited by 538
Forecasting imbalances in the global health labor market and devising policy responses
Scheffler, R. M., Campbell, J., Cometto, G., Maeda, A., Liu, J. X., Bruckner, T. A., Arnold, D. R., & Evans, T. (2018) · Human Resources for Health · doi:10.1186/s12960-017-0264-6 · Cited by 104
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Cited by
Large language models for generating medical examinations: systematic review
Artsi, Y., Sorin, V., Konen, E., Glicksberg, B. S., Nadkarni, G., & Klang, E. (2024) · BMC Medical Education · doi:10.1186/s12909-024-05239-y · Cited by 128
Morone, G., De Angelis, L., Martino Cinnera, A., Carbonetti, R., Bisirri, A., Ciancarelli, I., Iosa, M., Negrini, S., Kiekens, C., & Negrini, F. (2025) · Frontiers in Digital Health · doi:10.3389/fdgth.2025.1550731 · Cited by 41
Tancred, T., Falkenbach, M., Raven, J., & Caffrey, M. (2024) · The International Journal of Health Planning and Management · doi:10.1002/hpm.3773 · Cited by 18
Building digital resilience: leading healthcare transformation through an online community
Pilosof, N. P., Welcman, Y., Barrett, M., Oborn, E., & Barrett, S. (2025) · Frontiers in Digital Health · doi:10.3389/fdgth.2025.1656804 · Cited by 15
(2023) · doi:10.29333/ejosdr/12936 · Cited by 10
Metadata
- Authors
- Boniol, M., Kunjumen, T., Nair, T. S., Siyam, A., Campbell, J., & Diallo, K.
- Venue
- BMJ Global Health
- Publisher
- BMJ
- Published
- 2022-06
- Volume
- 7
- Issue
- 6
- Pages
- e009316
- ISSN
- 2059-7908 (ISSN-L)
- OpenAlex
- W4283578429
- Cited by
- 873
- References
- 3
- FWCI
- 175.25
- Type
- journal article
- Language
- en
- Open access
- gold
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