Title A new bottom-up method for the standard analysis and comparison of workforce capacity in mental healthcare planning: Demonstration study in the Australian Capital Territory
Authors Furst M.A. , SALINAS PÉREZ, JOSÉ ALBERTO, RUIZ GUTIÉRREZ COLOSIA, MENCIA, Salvador-Carulla L.
External publication No
Means PLoS ONE
Scope Article
Nature Científica
JCR Quartile 2
SJR Quartile 1
JCR Impact 3.75200
SJR Impact 0.85200
Web https://www.scopus.com/inward/record.uri?eid=2-s2.0-85111631308&doi=10.1371%2fjournal.pone.0255350&partnerID=40&md5=03a63f8a4562039f0115e7ba3fd1a52d
Publication date 01/01/2021
ISI 000685225200013
Scopus Id 2-s2.0-85111631308
DOI 10.1371/journal.pone.0255350
Abstract The aims of this study are to evaluate and describe mental health workforce and capacity, and to describe the relationship between workforce capacity and patterns of care in local areas. We conducted a comparative demonstration study of the applicability of an internationally validated standardised service classification instrument—the Description and Evaluation of Services and Directories—DESDE-LTC) using the emerging mental health ecosystems research (MHESR) approach. Using DESDE-LTC as the framework, and drawing from international occupation classifications, the workforce was classified according to characteristics including the type of care provided and professional background. Our reference area was the Australian Capital Territory, which we compared with two other urban districts in Australia (Sydney and South East Sydney) and three benchmark international health districts (Helsinki-Uusima (Finland), Verona (Italy) and Gipuzkoa (Spain)). We also compared our data with national level data where available. The Australian and Finnish regions had a larger and more highly skilled workforce than the southern European regions. The pattern of workforce availability and profile varied, even within the same country, at the local level. We found significant differences between regional rates of identified rates of psychiatrists and psychologists, and national averages. Using a standardised classification instrument at the local level, and our occupational groupings, we were able to assess the available workforce and provide information relevant to planners about the actual capacity of the system. Data obtained at local level is critical to providing planners with reliable data to inform their decision making. © 2021 Furst et al. 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 author and source are credited.
Keywords article; Australian Capital Territory; controlled study; decision making; directory; drawing; ecosystem; Finland; health care planning; human; human experiment; Italy; mental health; occupation; psych
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