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Allied health growth: what we do not measure we cannot manage
BACKGROUND: Data describing the Australian allied health workforce is inadequate and so insufficient for workforce planning. National health policy reform requires that health-care models take into account future workforce requirements, the distribution and work contexts of existing practitioners, t...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4440507/ https://www.ncbi.nlm.nih.gov/pubmed/25971449 http://dx.doi.org/10.1186/s12960-015-0027-1 |
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author | Solomon, Daniela Graves, Nicholas Catherwood, Judith |
author_facet | Solomon, Daniela Graves, Nicholas Catherwood, Judith |
author_sort | Solomon, Daniela |
collection | PubMed |
description | BACKGROUND: Data describing the Australian allied health workforce is inadequate and so insufficient for workforce planning. National health policy reform requires that health-care models take into account future workforce requirements, the distribution and work contexts of existing practitioners, training needs, workforce roles and scope of practice. Good information on this workforce is essential for managing services as demands increase, accountability of practitioners, measurement of outcomes and benchmarking against other jurisdictions. A comprehensive data set is essential to underpin policy and planning to meet future health workforce needs. DISCUSSION: Some data on allied health professions is managed by the Australian Health Practitioner Regulation Agency; however, there is limited information regarding several core allied health professions. A global registration and accreditation scheme recognizing all allied health professions might provide safeguards and credibility for professionals and their clients. SUMMARY: Arguments are presented about inconsistencies and voids in the available information about allied health services. Remedying these information deficits is essential to underpin policy and planning for future health workforce needs. We make the case for a comprehensive national data set based on a broad and inclusive sampling process across the allied health population. |
format | Online Article Text |
id | pubmed-4440507 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-44405072015-05-22 Allied health growth: what we do not measure we cannot manage Solomon, Daniela Graves, Nicholas Catherwood, Judith Hum Resour Health Commentary BACKGROUND: Data describing the Australian allied health workforce is inadequate and so insufficient for workforce planning. National health policy reform requires that health-care models take into account future workforce requirements, the distribution and work contexts of existing practitioners, training needs, workforce roles and scope of practice. Good information on this workforce is essential for managing services as demands increase, accountability of practitioners, measurement of outcomes and benchmarking against other jurisdictions. A comprehensive data set is essential to underpin policy and planning to meet future health workforce needs. DISCUSSION: Some data on allied health professions is managed by the Australian Health Practitioner Regulation Agency; however, there is limited information regarding several core allied health professions. A global registration and accreditation scheme recognizing all allied health professions might provide safeguards and credibility for professionals and their clients. SUMMARY: Arguments are presented about inconsistencies and voids in the available information about allied health services. Remedying these information deficits is essential to underpin policy and planning for future health workforce needs. We make the case for a comprehensive national data set based on a broad and inclusive sampling process across the allied health population. BioMed Central 2015-05-14 /pmc/articles/PMC4440507/ /pubmed/25971449 http://dx.doi.org/10.1186/s12960-015-0027-1 Text en © Solomon et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Commentary Solomon, Daniela Graves, Nicholas Catherwood, Judith Allied health growth: what we do not measure we cannot manage |
title | Allied health growth: what we do not measure we cannot manage |
title_full | Allied health growth: what we do not measure we cannot manage |
title_fullStr | Allied health growth: what we do not measure we cannot manage |
title_full_unstemmed | Allied health growth: what we do not measure we cannot manage |
title_short | Allied health growth: what we do not measure we cannot manage |
title_sort | allied health growth: what we do not measure we cannot manage |
topic | Commentary |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4440507/ https://www.ncbi.nlm.nih.gov/pubmed/25971449 http://dx.doi.org/10.1186/s12960-015-0027-1 |
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