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Planning the Future Oral Health Workforce: A Rapid Review of Supply, Demand and Need Models, Data Sources and Skill Mix Considerations

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  • Madhan Balasubramanian

    (Faculty of Medicine and Health, The University of Sydney, Sydney 2006, Australia
    Australian Research Centre for Population Oral Health, Adelaide Dental School, The University of Adelaide, Adelaide 5005, Australia
    Faculty of Dentistry, Oral & Craniofacial Sciences, Kings College London, London SE5 9RS, UK)

  • Aliya Hasan

    (Faculty of Dentistry, Oral & Craniofacial Sciences, Kings College London, London SE5 9RS, UK)

  • Suruchi Ganbavale

    (Faculty of Dentistry, Oral & Craniofacial Sciences, Kings College London, London SE5 9RS, UK
    Dental Academy, William Beatty Building, Hampshire Terrace, University of Portsmouth, Portsmouth PO1 2QG, UK)

  • Anfal Alolayah

    (Faculty of Dentistry, Oral & Craniofacial Sciences, Kings College London, London SE5 9RS, UK)

  • Jennifer Gallagher

    (Faculty of Dentistry, Oral & Craniofacial Sciences, Kings College London, London SE5 9RS, UK)

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.

Suggested Citation

  • Madhan Balasubramanian & Aliya Hasan & Suruchi Ganbavale & Anfal Alolayah & Jennifer Gallagher, 2021. "Planning the Future Oral Health Workforce: A Rapid Review of Supply, Demand and Need Models, Data Sources and Skill Mix Considerations," IJERPH, MDPI, vol. 18(6), pages 1-33, March.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:6:p:2891-:d:515479
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    References listed on IDEAS

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    1. Baumann, Lisa Ann & Baker, Jannah & Elshaug, Adam G., 2018. "The impact of electronic health record systems on clinical documentation times: A systematic review," Health Policy, Elsevier, vol. 122(8), pages 827-836.
    2. Sally Brailsford & Dileep De Silva, 2015. "How many dentists does Sri Lanka need? Modelling to inform policy decisions," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 66(9), pages 1566-1577, September.
    3. Balasubramanian, Madhan & Brennan, David S. & Short, Stephanie D & Gallagher, Jennifer E, 2019. "A strife of interests: A qualitative study on the challenges facing oral health workforce policy and planning," Health Policy, Elsevier, vol. 123(11), pages 1068-1075.
    4. Tomoko Ono & Gaétan Lafortune & Michael Schoenstein, 2013. "Health Workforce Planning in OECD Countries: A Review of 26 Projection Models from 18 Countries," OECD Health Working Papers 62, OECD Publishing.
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    Cited by:

    1. Madhan Balasubramanian & Stephanie Short, 2021. "The Future Health Workforce: Integrated Solutions and Models of Care," IJERPH, MDPI, vol. 18(6), pages 1-4, March.

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