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    Health workforce metrics pre- and post-2015: a stimulus to public policy and planning.

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    Author
    Pozo-Martin, F; Nove, A; Lopes, SC; Campbell, J; Buchan, J; Dussault, G; Kunjumen, T; Cometto, G; Siyam, A
    Date
    2017-02-15
    Source Title
    Human Resources for Health
    Publisher
    Springer Science and Business Media LLC
    University of Melbourne Author/s
    Buchan, James
    Affiliation
    Medicine Dentistry & Health Sciences
    Metadata
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    Document Type
    Journal Article
    Citations
    Pozo-Martin, F., Nove, A., Lopes, S. C., Campbell, J., Buchan, J., Dussault, G., Kunjumen, T., Cometto, G. & Siyam, A. (2017). Health workforce metrics pre- and post-2015: a stimulus to public policy and planning.. Hum Resour Health, 15 (1), pp.14-. https://doi.org/10.1186/s12960-017-0190-7.
    Access Status
    Open Access
    URI
    http://hdl.handle.net/11343/255469
    DOI
    10.1186/s12960-017-0190-7
    Open Access at PMC
    http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5312527
    Abstract
    BACKGROUND: Evidence-based health workforce policies are essential to ensure the provision of high-quality health services and to support the attainment of universal health coverage (UHC). This paper describes the main characteristics of available health workforce data for 74 of the 75 countries identified under the 'Countdown to 2015' initiative as accounting for more than 95% of the world's maternal, newborn and child deaths. It also discusses best practices in the development of health workforce metrics post-2015. METHODS: Using available health workforce data from the Global Health Workforce Statistics database from the Global Health Observatory, we generated descriptive statistics to explore the current status, recent trends in the number of skilled health professionals (SHPs: physicians, nurses, midwives) per 10 000 population, and future requirements to achieve adequate levels of health care in the 74 countries. A rapid literature review was conducted to obtain an overview of the types of methods and the types of data sources used in human resources for health (HRH) studies. RESULTS: There are large intercountry and interregional differences in the density of SHPs to progress towards UHC in Countdown countries: a median of 10.2 per 10 000 population with range 1.6 to 142 per 10 000. Substantial efforts have been made in some countries to increase the availability of SHPs as shown by a positive average exponential growth rate (AEGR) in SHPs in 51% of Countdown countries for which there are data. Many of these countries will require large investments to achieve levels of workforce availability commensurate with UHC and the health-related sustainable development goals (SDGs). The availability, quality and comparability of global health workforce metrics remain limited. Most published workforce studies are descriptive, but more sophisticated needs-based workforce planning methods are being developed. CONCLUSIONS: There is a need for high-quality, comprehensive, interoperable sources of HRH data to support all policies towards UHC and the health-related SDGs. The recent WHO-led initiative of supporting countries in the development of National Health Workforce Accounts is a very promising move towards purposive health workforce metrics post-2015. Such data will allow more countries to apply the latest methods for health workforce planning.

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