Workload capacity measures for estimating allied health staffing requirements

Schoo, Adrian M. and Boyce, Rosalie A. and Ridoutt, Lee and Santos, Teresa (2008) Workload capacity measures for estimating allied health staffing requirements. Australian Health Review, 32 (3). pp. 548-558. ISSN 0156-5788

Abstract

Workforce planning methodologies for the allied health professions are acknowledged as rudimentary despite the increasing importance of these professions to health care across the spectrum of health services settings. The objectives of this study were to (i) identify workload capacity measures and methods for profiling allied health workforce requirements from a systematic review of the international literature; (ii) explore the use of these methods in planning workforce requirements; (iii) identify barriers to applying such methods; and (iv) recommend further action. Future approaches to workforce planning were explored through a systematic review of the literature, interviews with key stakeholders and focus group discussions with representatives from the different professional bodies and health agencies in Victoria. Results identified a range of methods used to calculate workload requirements or capacity. In order of increasing data demands and costliness to implement, workload capacity methods can be broadly classified into four groups: ratio-based, procedure-based, categories of care-based and diagnostic or casemix-based. Despite inherent limitations, the procedure-based measurement approach appears to be most widely accepted. Barriers to more rigorous workforce planning methods are discussed and future directions explored through an examination of the potential of casemix and mixed-method approaches.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Permanent restricted access to published version due to publisher copyright policy.
Depositing User: epEditor USQ
Faculty / Department / School: Historic - Faculty of Sciences - No Department
Date Deposited: 15 Jul 2011 11:59
Last Modified: 18 Aug 2014 19:52
Uncontrolled Keywords: allied health personnel; diagnosis-related groups; focus groups; health services research; needs assessment; personnel staffing; scheduling; task performance
Fields of Research (FOR2008): 16 Studies in Human Society > 1605 Policy and Administration > 160508 Health Policy
11 Medical and Health Sciences > 1117 Public Health and Health Services > 111709 Health Care Administration
15 Commerce, Management, Tourism and Services > 1503 Business and Management > 150305 Human Resources Management
Socio-Economic Objective (SEO2008): B Economic Development > 91 Economic Framework > 9104 Management and Productivity > 910405 Public Sector Productivity
Identification Number or DOI: doi: 10.1071/AH080548
URI: http://eprints.usq.edu.au/id/eprint/19397

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