Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/130614
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Type: Journal article
Title: Planning the future oral health workforce: a rapid review of supply, demand and need models, data sources and skill mix considerations
Author: Balasubramanian, M.
Hasan, A.
Ganbavale, S.
Alolayah, A.
Gallagher, J.
Citation: International Journal of Environmental Research and Public Health, 2021; 18(6):2891-2891
Publisher: MDPI AG
Issue Date: 2021
ISSN: 1661-7827
1660-4601
Statement of
Responsibility: 
Madhan Balasubramanian, Aliya Hasan, Suruchi Ganbavale, Anfal Alolayah and Jennifer Gallagher
Abstract: Over the last decade, there has been a renewed interest in oral health workforce planning. The purpose of this review is to examine oral health workforce planning models on supply, demand and needs, mainly in respect to their data sources, modelling technique and use of skill mix. A limited search was carried out on PubMed and Web of Science for published scientific articles on oral health workforce planning models between 2010 to 2020. No restrictions were placed on the type of modelling philosophy, and all studies including supply, demand or needs based models were included. Rapid review methods guided the review process. Twenty-three studies from 15 countries were included in the review. A majority were from high-income countries (n = 17). Dentists were the sole oral health workforce group modelled in 13 studies; only five studies included skill mix (allied dental personnel) considerations. The most common application of modelling was a workforce to population ratio or a needs-based demand weighted variant. Nearly all studies presented weaknesses in modelling process due to the limitations in data sources and/or non-availability of the necessary data to inform oral health workforce planning. Skill mix considerations in planning models were also limited to horizontal integration within oral health professionals. Planning for the future oral health workforce is heavily reliant on quality data being available for supply, demand and needs models. Integrated methodologies that expand skill mix considerations and account for uncertainty are essential for future planning exercises.
Keywords: Health workforce; operational models; planning; skill mix; integration
Rights: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/).
DOI: 10.3390/ijerph18062891
Grant ID: http://purl.org/au-research/grants/nhmrc/1121576
Published version: http://dx.doi.org/10.3390/ijerph18062891
Appears in Collections:Aurora harvest 4
Dentistry publications

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