Workload capacity measures for estimating allied health staffing requirements

Schoo, Adrian M., Boyce, Rosalie A., Ridoutt, Lee and Santos, Teresa 2008, Workload capacity measures for estimating allied health staffing requirements, Australian health review, vol. 32, no. 3, pp. 548-558, doi: 10.1071/AH080548.

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Title Workload capacity measures for estimating allied health staffing requirements
Author(s) Schoo, Adrian M.
Boyce, Rosalie A.
Ridoutt, Lee
Santos, Teresa
Journal name Australian health review
Volume number 32
Issue number 3
Start page 548
End page 558
Publisher Australasian Medical Publishing Company
Place of publication Sydney, N.S.W.
Publication date 2008-08
ISSN 0156-5788
Summary 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.
Language eng
DOI 10.1071/AH080548
Field of Research 111709 Health Care Administration
HERDC Research category C1 Refereed article in a scholarly journal
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Document type: Journal Article
Collection: School of Medicine
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