Allied health growth: What we do not measure we cannot manage

Solomon, Daniela, Graves, Nicholas, & Catherwood, Judith (2015) Allied health growth: What we do not measure we cannot manage. Human Resources for Health, 13(32).

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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.


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.


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.

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ID Code: 92274
Item Type: Journal Article
Refereed: Yes
Keywords: Allied health, Registration, Service provision
DOI: 10.1186/s12960-015-0027-1
ISSN: 1478-4491
Divisions: Current > QUT Faculties and Divisions > Faculty of Health
Current > Institutes > Institute of Health and Biomedical Innovation
Current > Schools > School of Public Health & Social Work
Copyright Owner: Copyright 2015 Solomon et al.; licensee BioMed Central.
Copyright Statement: This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.
Deposited On: 25 Jan 2016 00:45
Last Modified: 26 Jan 2016 23:10

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