Health workforce metrics pre- and post-2015
Autor(a) principal: | |
---|---|
Data de Publicação: | 2017 |
Outros Autores: | , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://doi.org/10.1186/s12960-017-0190-7 |
Resumo: | 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. |
id |
RCAP_12a671762c967475ccd74cc3ce2b61ab |
---|---|
oai_identifier_str |
oai:run.unl.pt:10362/36472 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
spelling |
Health workforce metrics pre- and post-2015A stimulus to public policy and planningCountdownDataDensitiesHealth systemsHealth workforceLow- and middle-income countriesMetricsSustainable development goalsUniversal health coveragePublic AdministrationPublic Health, Environmental and Occupational HealthSDG 3 - Good Health and Well-beingBackground: 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.Instituto de Higiene e Medicina Tropical (IHMT)Global Health and Tropical Medicine (GHTM)Population health, policies and services (PPS)RUNPozo-Martin, FranciscoNove, AndreaLopes, Sofia CastroCampbell, JamesBuchan, JamesDussault, GillesKunjumen, TeenaCometto, GiorgioSiyam, Amani2018-05-10T22:16:12Z2017-02-152017-02-15T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://doi.org/10.1186/s12960-017-0190-7engPURE: 3203751http://www.scopus.com/inward/record.url?scp=85013156518&partnerID=8YFLogxKhttps://doi.org/10.1186/s12960-017-0190-7info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T04:19:51Zoai:run.unl.pt:10362/36472Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:30:30.304893Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Health workforce metrics pre- and post-2015 A stimulus to public policy and planning |
title |
Health workforce metrics pre- and post-2015 |
spellingShingle |
Health workforce metrics pre- and post-2015 Pozo-Martin, Francisco Countdown Data Densities Health systems Health workforce Low- and middle-income countries Metrics Sustainable development goals Universal health coverage Public Administration Public Health, Environmental and Occupational Health SDG 3 - Good Health and Well-being |
title_short |
Health workforce metrics pre- and post-2015 |
title_full |
Health workforce metrics pre- and post-2015 |
title_fullStr |
Health workforce metrics pre- and post-2015 |
title_full_unstemmed |
Health workforce metrics pre- and post-2015 |
title_sort |
Health workforce metrics pre- and post-2015 |
author |
Pozo-Martin, Francisco |
author_facet |
Pozo-Martin, Francisco Nove, Andrea Lopes, Sofia Castro Campbell, James Buchan, James Dussault, Gilles Kunjumen, Teena Cometto, Giorgio Siyam, Amani |
author_role |
author |
author2 |
Nove, Andrea Lopes, Sofia Castro Campbell, James Buchan, James Dussault, Gilles Kunjumen, Teena Cometto, Giorgio Siyam, Amani |
author2_role |
author author author author author author author author |
dc.contributor.none.fl_str_mv |
Instituto de Higiene e Medicina Tropical (IHMT) Global Health and Tropical Medicine (GHTM) Population health, policies and services (PPS) RUN |
dc.contributor.author.fl_str_mv |
Pozo-Martin, Francisco Nove, Andrea Lopes, Sofia Castro Campbell, James Buchan, James Dussault, Gilles Kunjumen, Teena Cometto, Giorgio Siyam, Amani |
dc.subject.por.fl_str_mv |
Countdown Data Densities Health systems Health workforce Low- and middle-income countries Metrics Sustainable development goals Universal health coverage Public Administration Public Health, Environmental and Occupational Health SDG 3 - Good Health and Well-being |
topic |
Countdown Data Densities Health systems Health workforce Low- and middle-income countries Metrics Sustainable development goals Universal health coverage Public Administration Public Health, Environmental and Occupational Health SDG 3 - Good Health and Well-being |
description |
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. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-02-15 2017-02-15T00:00:00Z 2018-05-10T22:16:12Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://doi.org/10.1186/s12960-017-0190-7 |
url |
https://doi.org/10.1186/s12960-017-0190-7 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
PURE: 3203751 http://www.scopus.com/inward/record.url?scp=85013156518&partnerID=8YFLogxK https://doi.org/10.1186/s12960-017-0190-7 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
|
_version_ |
1799137929149284352 |