Skip to main content
Top
Published in: Human Resources for Health 1/2019

Open Access 01-12-2019 | Research

Needs-based planning for the oral health workforce - development and application of a simulation model

Authors: Susan Ahern, Noel Woods, Olivier Kalmus, Stephen Birch, Stefan Listl

Published in: Human Resources for Health | Issue 1/2019

Login to get access

Abstract

Background

The World Health Organization’s global strategy on human resources for health includes an objective to align investment in human resources for health with the current and future needs of the population. Although oral health is a key indicator of overall health and wellbeing, and oral diseases are the most common noncommunicable diseases affecting half the world’s population, oral health workforce planning efforts have been limited to simplistic target dentist-population or constant services-population ratios which do not account for levels of and changes in population need. Against this backdrop, our aim was to develop and operationalise an oral health needs-based workforce planning simulation tool.

Methods

Using a conceptual framework put forward in the literature, we aimed to build the model in Microsoft Excel and apply it in a hypothetical context to demonstrate its operability. The model incorporates a provider supply component and a provider requirement component, enabling a comparison of the current and future supply of and requirement for oral health workers. Publicly available data, including the Special Eurobarometer 330 Oral Health Survey, were used to populate the model. Assumptions were made where data were not publicly available and key assumptions were tested in scenario analyses.

Results

We have systematically developed a needs-based workforce planning model for the oral health workforce and applied the model in a hypothetical context over a 30-year time span. In the 2017 baseline scenario, the model produced a full-time equivalent (FTE) provider requirement figure of 899 dentists compared with an FTE provider supply figure of 1985. In the scenario analyses, the FTE provider requirement figure ranged from 1123 to 1629 illustrating the extent of the impact of changing parameter values.

Conclusions

In response to policy makers’ recognition of the pressing need to better plan human resources for health and the scarcity of work in this area for dentistry, we have demonstrated the feasibility of producing a workable, practical and useful needs-based workforce planning simulation tool for the oral health workforce. In doing so, we have highlighted the challenges faced in accessing timely and relevant data needed to populate such models and ensure the reliability of model outputs.
Literature
1.
go back to reference Birch S. Health human resource planning for the new millennium: inputs in the production of health, illness, and recovery in populations. Can J Nurs Res. 2002;33(4):109–14.PubMed Birch S. Health human resource planning for the new millennium: inputs in the production of health, illness, and recovery in populations. Can J Nurs Res. 2002;33(4):109–14.PubMed
2.
go back to reference Tomblin Murphy G, Alder R, MacKenzie A. Innovative needs-based approach to family physician planning–Canada; 2008. Tomblin Murphy G, Alder R, MacKenzie A. Innovative needs-based approach to family physician planning–Canada; 2008.
3.
go back to reference Crettenden IF, McCarty MV, Fenech BJ, Heywood T, Taitz MC, Tudman S. How evidence-based workforce planning in Australia is informing policy development in the retention and distribution of the health workforce. Human Resources for Health. 2014;12(1):7.PubMedPubMedCentralCrossRef Crettenden IF, McCarty MV, Fenech BJ, Heywood T, Taitz MC, Tudman S. How evidence-based workforce planning in Australia is informing policy development in the retention and distribution of the health workforce. Human Resources for Health. 2014;12(1):7.PubMedPubMedCentralCrossRef
4.
go back to reference Lopes MA, Almeida ÁS, Almada-Lobo B. Forecasting the medical workforce: a stochastic agent-based simulation approach. Health Care Management Science. 2018;21(1):52–75.PubMedCrossRef Lopes MA, Almeida ÁS, Almada-Lobo B. Forecasting the medical workforce: a stochastic agent-based simulation approach. Health Care Management Science. 2018;21(1):52–75.PubMedCrossRef
5.
6.
go back to reference Teljeur C, Thomas S, O'Kelly FD, O'Dowd T. General practitioner workforce planning: assessment of four policy directions. BMC Health Services Research. 2010;10(1):148.PubMedPubMedCentralCrossRef Teljeur C, Thomas S, O'Kelly FD, O'Dowd T. General practitioner workforce planning: assessment of four policy directions. BMC Health Services Research. 2010;10(1):148.PubMedPubMedCentralCrossRef
7.
go back to reference Van Greuningen M, Batenburg RS, Van der Velden LF. Ten years of health workforce planning in the Netherlands: a tentative evaluation of GP planning as an example. Human Resources for Health. 2012;10(1):21.PubMedPubMedCentralCrossRef Van Greuningen M, Batenburg RS, Van der Velden LF. Ten years of health workforce planning in the Netherlands: a tentative evaluation of GP planning as an example. Human Resources for Health. 2012;10(1):21.PubMedPubMedCentralCrossRef
8.
go back to reference Abas ZA, Ramli MR, Desa MI, Saleh N, Hanafiah AN. Aziz Net al. A supply model for nurse workforce projection in Malaysia. Health Care Management Science. 2018;21(4):573–86.PubMedCrossRef Abas ZA, Ramli MR, Desa MI, Saleh N, Hanafiah AN. Aziz Net al. A supply model for nurse workforce projection in Malaysia. Health Care Management Science. 2018;21(4):573–86.PubMedCrossRef
9.
go back to reference Tomblin Murphy G, MacKenzie A, Alder R, Birch S, Kephart G, O'Brien-Pallas L. An applied simulation model for estimating the supply of and requirements for registered nurses based on population health needs. Policy, Politics, & Nursing Practice. 2009;10(4):240–51.CrossRef Tomblin Murphy G, MacKenzie A, Alder R, Birch S, Kephart G, O'Brien-Pallas L. An applied simulation model for estimating the supply of and requirements for registered nurses based on population health needs. Policy, Politics, & Nursing Practice. 2009;10(4):240–51.CrossRef
10.
go back to reference Tomblin Murphy G, Birch S, MacKenzie A, Alder R, Lethbridge L, Little L. Eliminating the shortage of registered nurses in Canada: an exercise in applied needs-based planning. Health Policy. 2012;105(2-3):192–202.PubMedCrossRef Tomblin Murphy G, Birch S, MacKenzie A, Alder R, Lethbridge L, Little L. Eliminating the shortage of registered nurses in Canada: an exercise in applied needs-based planning. Health Policy. 2012;105(2-3):192–202.PubMedCrossRef
11.
go back to reference World Health Organization. Models and tools for health workforce planning and projections. 2010. World Health Organization. Models and tools for health workforce planning and projections. 2010.
13.
go back to reference Kroezen M, Van Hoegaerden M, Batenburg R. The Joint Action on Health Workforce Planning and Forecasting: Results of a European programme to improve health workforce policies. Health Policy. 2018;122(2):87–93.PubMedCrossRef Kroezen M, Van Hoegaerden M, Batenburg R. The Joint Action on Health Workforce Planning and Forecasting: Results of a European programme to improve health workforce policies. Health Policy. 2018;122(2):87–93.PubMedCrossRef
14.
go back to reference Birch S, Kephart G, Tomblin-Murphy G, O’Brien-Pallas L, Alder R, MacKenzie A. Human resources planning and the production of health: a needs-based analytical framework. Canadian Public Policy. 2007;33(Supplement 1):S1–S16.CrossRef Birch S, Kephart G, Tomblin-Murphy G, O’Brien-Pallas L, Alder R, MacKenzie A. Human resources planning and the production of health: a needs-based analytical framework. Canadian Public Policy. 2007;33(Supplement 1):S1–S16.CrossRef
16.
go back to reference Ono T, Lafortune G, Schoenstein M. Health workforce planning in OECD countries: a review of 26 projection models from 18 countries. OECD Health Working Papers, No. 62. Paris: OECD Publishing; 2013. Ono T, Lafortune G, Schoenstein M. Health workforce planning in OECD countries: a review of 26 projection models from 18 countries. OECD Health Working Papers, No. 62. Paris: OECD Publishing; 2013.
17.
go back to reference Vos T, Abajobir AA, Abate KH, Abbafati C, Abbas KM, Abd-Allah F, et al. Global, regional, and national incidence, prevalence, and years lived with disability for 328 diseases and injuries for 195 countries, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016. The Lancet. 2017;390(10100):1211–59.CrossRef Vos T, Abajobir AA, Abate KH, Abbafati C, Abbas KM, Abd-Allah F, et al. Global, regional, and national incidence, prevalence, and years lived with disability for 328 diseases and injuries for 195 countries, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016. The Lancet. 2017;390(10100):1211–59.CrossRef
19.
go back to reference Harper P, Kleinman E, Gallagher J, Knight V. Cost-effective workforce planning: optimising the dental team skill-mix for England. Journal of Enterprise Information Management. 2013;26(1/2):91–108.CrossRef Harper P, Kleinman E, Gallagher J, Knight V. Cost-effective workforce planning: optimising the dental team skill-mix for England. Journal of Enterprise Information Management. 2013;26(1/2):91–108.CrossRef
20.
go back to reference Gallagher J, Kleinman E, Harper PR. Modelling workforce skill-mix: how can dental professionals meet the needs and demands of older people in England? British Dental Journal. 2010;208(3):E6.PubMedCrossRef Gallagher J, Kleinman E, Harper PR. Modelling workforce skill-mix: how can dental professionals meet the needs and demands of older people in England? British Dental Journal. 2010;208(3):E6.PubMedCrossRef
21.
go back to reference Centre for Workforce Intelligence. Securing the future workforce supply–dental care professionals stocktake. London: Centre for Workforce Intelligence; 2014. Centre for Workforce Intelligence. Securing the future workforce supply–dental care professionals stocktake. London: Centre for Workforce Intelligence; 2014.
23.
go back to reference Microsoft Corporation. MS Excel. Redmond; 2018. Microsoft Corporation. MS Excel. Redmond; 2018.
24.
go back to reference Leggett H, Duijster D, Douglas G, Eaton K, van der Heijden G, O’Hanlon K, et al. Toward more patient-centered and prevention-oriented oral health care: the ADVOCATE project. JDR Clinical & Translational Research. 2017;2(1):5–9.CrossRef Leggett H, Duijster D, Douglas G, Eaton K, van der Heijden G, O’Hanlon K, et al. Toward more patient-centered and prevention-oriented oral health care: the ADVOCATE project. JDR Clinical & Translational Research. 2017;2(1):5–9.CrossRef
25.
go back to reference Ayers KM, Thomson WM, Rich AM, Newton JT. Gender differences in dentists’ working practices and job satisfaction. Journal of Dentistry. 2008;36(5):343–50.PubMedCrossRef Ayers KM, Thomson WM, Rich AM, Newton JT. Gender differences in dentists’ working practices and job satisfaction. Journal of Dentistry. 2008;36(5):343–50.PubMedCrossRef
26.
go back to reference McKay JC, Ahmad A, Shaw JL, Rashid F, Clancy A. David Cet al. Gender differences and predictors of work hours in a sample of Ontario dentists. Journal of the Canadian Dental Association. 2016;82(g26):1488–2159. McKay JC, Ahmad A, Shaw JL, Rashid F, Clancy A. David Cet al. Gender differences and predictors of work hours in a sample of Ontario dentists. Journal of the Canadian Dental Association. 2016;82(g26):1488–2159.
27.
go back to reference Brennan D, Chrisopoulos S, Teusner D. Hours worked and patient visits provided by dentists in Australia. Australian Dental Journal. 2018;63(1):118–23.PubMedCrossRef Brennan D, Chrisopoulos S, Teusner D. Hours worked and patient visits provided by dentists in Australia. Australian Dental Journal. 2018;63(1):118–23.PubMedCrossRef
28.
go back to reference McKay JC, Quiñonez CR. The feminization of dentistry: implications for the profession. Journal of the Canadian Dental Association. 2012;78:c1.PubMed McKay JC, Quiñonez CR. The feminization of dentistry: implications for the profession. Journal of the Canadian Dental Association. 2012;78:c1.PubMed
30.
go back to reference The European Commission. Special Eurobarometer 330 Report: Oral Health. 2010. The European Commission. Special Eurobarometer 330 Report: Oral Health. 2010.
32.
go back to reference Higher Education Authority. A study of progression in Irish higher education 2014/15 TO 2015/16. Dublin: Higher Education Authority; 2018. Higher Education Authority. A study of progression in Irish higher education 2014/15 TO 2015/16. Dublin: Higher Education Authority; 2018.
33.
go back to reference EU Open Data Portal. Special Eurobarometer 330. Brussels: Oral health; 2009. EU Open Data Portal. Special Eurobarometer 330. Brussels: Oral health; 2009.
34.
go back to reference IBM. SPSS Statistics Version 24. Armonk; 2018. IBM. SPSS Statistics Version 24. Armonk; 2018.
36.
go back to reference World Health Organization. Global strategy on human resources for health: Workforce 2030. Geneva: WHO; 2016. World Health Organization. Global strategy on human resources for health: Workforce 2030. Geneva: WHO; 2016.
37.
go back to reference Scheffler RM, Arnold DR. Projecting shortages and surpluses of doctors and nurses in the OECD: what looms ahead. Policy and Law: Health Economics; 2018. p. 1–17. Scheffler RM, Arnold DR. Projecting shortages and surpluses of doctors and nurses in the OECD: what looms ahead. Policy and Law: Health Economics; 2018. p. 1–17.
38.
go back to reference Birch S. Demand-based models and market failure in health care: projecting shortages and surpluses in doctors and nurses. Health Economics, Policy and Law. 2019;14(2):291–4.CrossRef Birch S. Demand-based models and market failure in health care: projecting shortages and surpluses in doctors and nurses. Health Economics, Policy and Law. 2019;14(2):291–4.CrossRef
39.
go back to reference Koletsi-Kounari H, Papaioannou W, Stefaniotis T. Greece’s high dentist to population ratio: comparisons, causes, and effects. Journal of Dental Education. 2011;75(11):1507–15.PubMed Koletsi-Kounari H, Papaioannou W, Stefaniotis T. Greece’s high dentist to population ratio: comparisons, causes, and effects. Journal of Dental Education. 2011;75(11):1507–15.PubMed
40.
go back to reference Tomblin Murphy G, Birch S, MacKenzie A, Bradish S, Elliott RA. A synthesis of recent analyses of human resources for health requirements and labour market dynamics in high-income OECD countries. Human Resources for Health. 2016;14(1):59.PubMedPubMedCentralCrossRef Tomblin Murphy G, Birch S, MacKenzie A, Bradish S, Elliott RA. A synthesis of recent analyses of human resources for health requirements and labour market dynamics in high-income OECD countries. Human Resources for Health. 2016;14(1):59.PubMedPubMedCentralCrossRef
41.
go back to reference Baâdoudi F, Maskrey N, Listl S, Van der Heijden G, Duijster D. Improving oral healthcare: towards measurement? British Dental Journal. 2016;221(9):547.PubMedCrossRef Baâdoudi F, Maskrey N, Listl S, Van der Heijden G, Duijster D. Improving oral healthcare: towards measurement? British Dental Journal. 2016;221(9):547.PubMedCrossRef
42.
go back to reference Hill H, Birch S, Tickle M, McDonald R, Brocklehurst P. The technical efficiency of oral healthcare provision: evaluating role substitution in National Health Service dental practices in England. Community Dentistry and Oral Epidemiology. 2017;45:310–6.PubMedCrossRef Hill H, Birch S, Tickle M, McDonald R, Brocklehurst P. The technical efficiency of oral healthcare provision: evaluating role substitution in National Health Service dental practices in England. Community Dentistry and Oral Epidemiology. 2017;45:310–6.PubMedCrossRef
Metadata
Title
Needs-based planning for the oral health workforce - development and application of a simulation model
Authors
Susan Ahern
Noel Woods
Olivier Kalmus
Stephen Birch
Stefan Listl
Publication date
01-12-2019
Publisher
BioMed Central
Published in
Human Resources for Health / Issue 1/2019
Electronic ISSN: 1478-4491
DOI
https://doi.org/10.1186/s12960-019-0394-0

Other articles of this Issue 1/2019

Human Resources for Health 1/2019 Go to the issue