Skip to main content
Top
Published in: Human Resources for Health 1/2016

Open Access 01-12-2016 | Research

Simulating future supply of and requirements for human resources for health in high-income OECD countries

Authors: Gail Tomblin Murphy, Stephen Birch, Adrian MacKenzie, Janet Rigby

Published in: Human Resources for Health | Issue 1/2016

Login to get access

Abstract

Background

As part of efforts to inform the development of a global human resources for health (HRH) strategy, a comprehensive methodology for estimating HRH supply and requirements was described in a companion paper. The purpose of this paper is to demonstrate the application of that methodology, using data publicly available online, to simulate the supply of and requirements for midwives, nurses, and physicians in the 32 high-income member countries of the Organisation for Economic Co-operation and Development (OECD) up to 2030.

Methods

A model combining a stock-and-flow approach to simulate the future supply of each profession in each country—adjusted according to levels of HRH participation and activity—and a needs-based approach to simulate future HRH requirements was used. Most of the data to populate the model were obtained from the OECD’s online indicator database. Other data were obtained from targeted internet searches and documents gathered as part of the companion paper.

Results

Relevant recent measures for each model parameter were found for at least one of the included countries. In total, 35% of the desired current data elements were found; assumed values were used for the other current data elements. Multiple scenarios were used to demonstrate the sensitivity of the simulations to different assumed future values of model parameters. Depending on the assumed future values of each model parameter, the simulated HRH gaps across the included countries could range from shortfalls of 74 000 midwives, 3.2 million nurses, and 1.2 million physicians to surpluses of 67 000 midwives, 2.9 million nurses, and 1.0 million physicians by 2030.

Conclusions

Despite important gaps in the data publicly available online and the short time available to implement it, this paper demonstrates the basic feasibility of a more comprehensive, population needs-based approach to estimating HRH supply and requirements than most of those currently being used. HRH planners in individual countries, working with their respective stakeholder groups, would have more direct access to data on the relevant planning parameters and would thus be in an even better position to implement such an approach.
Appendix
Available only for authorised users
Footnotes
1
Latvia is now a high-income country and member of the OECD, but did not become the latter until after these analyses were conducted.
 
Literature
1.
go back to reference Global Health Workforce Alliance. A universal truth: no health without a workforce. Report of Third Global Forum on Human Resources for Health, Recife, Brazil. Geneva: World Health Organization; 2014. Global Health Workforce Alliance. A universal truth: no health without a workforce. Report of Third Global Forum on Human Resources for Health, Recife, Brazil. Geneva: World Health Organization; 2014.
2.
go back to reference Mejía A. The health manpower planning process. In: Health manpower planning: principles, methods, issues. Geneva: WHO; 1978. Mejía A. The health manpower planning process. In: Health manpower planning: principles, methods, issues. Geneva: WHO; 1978.
3.
go back to reference Dussault G, Buchan J, Sermeus W, Padaiga Z. Assessing future health workforce needs. Geneva: WHO; 2010. Dussault G, Buchan J, Sermeus W, Padaiga Z. Assessing future health workforce needs. Geneva: WHO; 2010.
4.
go back to reference Insight M. EU level collaboration on forecasting health workforce needs, workforce planning and health workforce trends—a feasibility study. Revised final report. 2012. Insight M. EU level collaboration on forecasting health workforce needs, workforce planning and health workforce trends—a feasibility study. Revised final report. 2012.
5.
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. Paris: OECD; 2013.CrossRef Ono T, Lafortune G, Schoenstein M. Health workforce planning in OECD countries: a review of 26 projection models from 18 countries. Paris: OECD; 2013.CrossRef
6.
go back to reference Campbell J, Buchan J, Cometto G, David B, Dussault G, Fogstad H, Fronteira I, Lozano R, Tangcharoensathien V. Human resources for health and universal health coverage: fostering equity and effective coverage. Bull World Health Organ. 2013;91:853–63.CrossRefPubMedPubMedCentral Campbell J, Buchan J, Cometto G, David B, Dussault G, Fogstad H, Fronteira I, Lozano R, Tangcharoensathien V. Human resources for health and universal health coverage: fostering equity and effective coverage. Bull World Health Organ. 2013;91:853–63.CrossRefPubMedPubMedCentral
7.
go back to reference World Health Organization. Global Strategy on Human Resources for Health: Workforce 2030. Geneva: WHO; 2015. World Health Organization. Global Strategy on Human Resources for Health: Workforce 2030. Geneva: WHO; 2015.
8.
go back to reference Tomblin Murphy G, Birch S, MacKenzie A, Bradish S, Elliott Rose A. A synthesis of recent analyses of human resources for health requirements and labour market dynamics in high-income OECD countries. Geneva: WHO; 2015. Tomblin Murphy G, Birch S, MacKenzie A, Bradish S, Elliott Rose A. A synthesis of recent analyses of human resources for health requirements and labour market dynamics in high-income OECD countries. Geneva: WHO; 2015.
9.
go back to reference Barber P, González López-Valcárcel B. Forecasting the need for medical specialists in Spain: application of a system dynamics model. Hum Resou Health. 2010;8:24. Barber P, González López-Valcárcel B. Forecasting the need for medical specialists in Spain: application of a system dynamics model. Hum Resou Health. 2010;8:24.
10.
go back to reference Buchan J, Seccombe I. The end of growth? Analysing NHS nurse staffing. J Adv Nurs. 2013;69(9):2123–30.CrossRefPubMed Buchan J, Seccombe I. The end of growth? Analysing NHS nurse staffing. J Adv Nurs. 2013;69(9):2123–30.CrossRefPubMed
11.
go back to reference Dall T, West T, Chakrabati R, Iobucci W. Association of American Medical Colleges, Washington, the complexities of physician supply and demand: projections from 2013 to 2025. 2015. Dall T, West T, Chakrabati R, Iobucci W. Association of American Medical Colleges, Washington, the complexities of physician supply and demand: projections from 2013 to 2025. 2015.
12.
go back to reference Artoisenet C, Deliège D. Medical workforce in Belgium: assessment of future supply and requirements. Louvain Médical. 2006;125(1):4–21. Artoisenet C, Deliège D. Medical workforce in Belgium: assessment of future supply and requirements. Louvain Médical. 2006;125(1):4–21.
13.
go back to reference Health Workforce Australia. Australia’s future health workforce—doctors. Canberra: Australia Department of Health; 2014. Health Workforce Australia. Australia’s future health workforce—doctors. Canberra: Australia Department of Health; 2014.
14.
go back to reference Centre for Health Workforce Intelligence. Securing the future workforce supply: obstetrics and gynaecology stocktake. London: CfWI; 2015. Centre for Health Workforce Intelligence. Securing the future workforce supply: obstetrics and gynaecology stocktake. London: CfWI; 2015.
15.
go back to reference Aiken L, Cheung R. Nurse workforce challenges in the United States: implications for policy, OECD health working papers, no. 35. 2008.CrossRef Aiken L, Cheung R. Nurse workforce challenges in the United States: implications for policy, OECD health working papers, no. 35. 2008.CrossRef
16.
go back to reference World Health Organization. Workload indicators of staffing need (WISN) software manual. Geneva: WHO; 2010. World Health Organization. Workload indicators of staffing need (WISN) software manual. Geneva: WHO; 2010.
17.
go back to reference Marvasti A. An estimation of the demand and supply for physicians services using panel data. Econ Model. 2014;43:279–85.CrossRef Marvasti A. An estimation of the demand and supply for physicians services using panel data. Econ Model. 2014;43:279–85.CrossRef
19.
go back to reference Segal L, Dalziel K, Bolton T. A work force model to support the adoption of best practice care in chronic diseases—a missing piece in clinical guideline implementation. Implement Sci. 2008;3:35. Segal L, Dalziel K, Bolton T. A work force model to support the adoption of best practice care in chronic diseases—a missing piece in clinical guideline implementation. Implement Sci. 2008;3:35.
20.
go back to reference New Zealand Ministry of Health. Aged care workforce service review. Wellington: New Zealand Ministry of Health; 2011. New Zealand Ministry of Health. Aged care workforce service review. Wellington: New Zealand Ministry of Health; 2011.
24.
go back to reference Masnick K, McDonnell G. A model linking clinical workforce skill mix. Hum Resour Health. 2010;8:11. Masnick K, McDonnell G. A model linking clinical workforce skill mix. Hum Resour Health. 2010;8:11.
25.
go back to reference Birch S, Tomblin Murphy G, MacKenzie A, Cumming J. In place of fear: aligning health care planning with system objectives to achieve financial sustainability. J Health Serv Res Policy. 2015;20(2):109–14.CrossRefPubMed Birch S, Tomblin Murphy G, MacKenzie A, Cumming J. In place of fear: aligning health care planning with system objectives to achieve financial sustainability. J Health Serv Res Policy. 2015;20(2):109–14.CrossRefPubMed
26.
go back to reference Reijneveld S, Stronks K. The validity of self-reported use of health care across socioeconomic strata: a comparison of survey and registration data. Int J Epidemiol. 2001;30:1407–14.CrossRefPubMed Reijneveld S, Stronks K. The validity of self-reported use of health care across socioeconomic strata: a comparison of survey and registration data. Int J Epidemiol. 2001;30:1407–14.CrossRefPubMed
27.
go back to reference Martin L, Schoeni R, Freedman V, Andreski P. Feeling better? Trends in general health status. J Gerontol B Psychol Sci Soc Sci. 2007;62(Supplement):S11–21.CrossRefPubMed Martin L, Schoeni R, Freedman V, Andreski P. Feeling better? Trends in general health status. J Gerontol B Psychol Sci Soc Sci. 2007;62(Supplement):S11–21.CrossRefPubMed
28.
go back to reference Mijlunpalo S, Vuori I, Oja P, Pasanen M, Urponen H. Self-rated health status as a measure: the predictive value of self-reported health status on the use of physician services and on mortality in the working age population. J Clin Epidemiol. 1997;50(5):517–28.CrossRef Mijlunpalo S, Vuori I, Oja P, Pasanen M, Urponen H. Self-rated health status as a measure: the predictive value of self-reported health status on the use of physician services and on mortality in the working age population. J Clin Epidemiol. 1997;50(5):517–28.CrossRef
29.
go back to reference Jylhä M. What is self-rated health and why does it predict mortality? Towards a unified conceptual model. Soc Sci Med. 2009;69(3):307–16.CrossRefPubMed Jylhä M. What is self-rated health and why does it predict mortality? Towards a unified conceptual model. Soc Sci Med. 2009;69(3):307–16.CrossRefPubMed
30.
go back to reference McDowell I, Newell C. Measuring health: a guide to rating scales and questionnaires. 3rd ed. Oxford: Oxford University Press; 2006. p. 15.CrossRef McDowell I, Newell C. Measuring health: a guide to rating scales and questionnaires. 3rd ed. Oxford: Oxford University Press; 2006. p. 15.CrossRef
31.
go back to reference Idler E, Benyamani Y. Self-rated health and mortality: a review of twenty-seven community studies. J Health Soc Behav. 1997;38(1):21–37.CrossRefPubMed Idler E, Benyamani Y. Self-rated health and mortality: a review of twenty-seven community studies. J Health Soc Behav. 1997;38(1):21–37.CrossRefPubMed
32.
go back to reference Groot W. Scale of reference bias and the evolution of health. Eur J Health Econ. 2003;4(3):176–86.CrossRefPubMed Groot W. Scale of reference bias and the evolution of health. Eur J Health Econ. 2003;4(3):176–86.CrossRefPubMed
33.
go back to reference Tomblin Murphy G, MacKenzie A, Rigby J, Rockwood K, Gough A, Greeley G, Montpetit F, Dill D, Alder R, Lackie K. Service-based planning for older adults. J Am Med Dir Assoc. 2013;14(8):611–5.CrossRefPubMed Tomblin Murphy G, MacKenzie A, Rigby J, Rockwood K, Gough A, Greeley G, Montpetit F, Dill D, Alder R, Lackie K. Service-based planning for older adults. J Am Med Dir Assoc. 2013;14(8):611–5.CrossRefPubMed
34.
go back to reference Canadian Institute for Health Information. Physicians in Canada, 2014. Ottawa: Canadian Institute for Health Information; 2015. Canadian Institute for Health Information. Physicians in Canada, 2014. Ottawa: Canadian Institute for Health Information; 2015.
38.
go back to reference National Physician Survey. Survey results. Mississauga: National Physician Survey; 2015. National Physician Survey. Survey results. Mississauga: National Physician Survey; 2015.
40.
go back to reference Canadian Collaborative Centre for Physician Resources. National physician supply projections to the year 2030. Ottawa: Canadian Medical Association; 2013. Canadian Collaborative Centre for Physician Resources. National physician supply projections to the year 2030. Ottawa: Canadian Medical Association; 2013.
42.
go back to reference Pong R. Putting away the stethoscope for good? Toward a new perspective on physician retirement. Ottawa: Canadian Institute for Health Information; 2011. Pong R. Putting away the stethoscope for good? Toward a new perspective on physician retirement. Ottawa: Canadian Institute for Health Information; 2011.
43.
go back to reference World Health Organization. The development of studies in health manpower, WHO technical report series. 1971. p. 481. World Health Organization. The development of studies in health manpower, WHO technical report series. 1971. p. 481.
45.
go back to reference Stordeur S, Léonard C. Challenges in physician supply planning: the case of Belgium. Hum Resour Health. 2010;8:28. Stordeur S, Léonard C. Challenges in physician supply planning: the case of Belgium. Hum Resour Health. 2010;8:28.
46.
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.CrossRefPubMed 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.CrossRefPubMed
47.
go back to reference Mejía A, Fülöp T. Health manpower planning: an overview. In: Health manpower planning: principles, methods, issues. Geneva: WHO; 1978. Mejía A, Fülöp T. Health manpower planning: an overview. In: Health manpower planning: principles, methods, issues. Geneva: WHO; 1978.
48.
go back to reference Dubois C-A, Mckee M, Nolte E. Human resources in health in Europe. Berkshire: Open University Press; 2006. Dubois C-A, Mckee M, Nolte E. Human resources in health in Europe. Berkshire: Open University Press; 2006.
49.
go back to reference Lavis J, Birch S. The answer is …, now what was the question? Applying alternative approaches to estimating nurse requirements. Can J Nurs Adm. 1997;10(1):24–44.PubMed Lavis J, Birch S. The answer is …, now what was the question? Applying alternative approaches to estimating nurse requirements. Can J Nurs Adm. 1997;10(1):24–44.PubMed
50.
go back to reference O’Brien-Pallas L, Tomblin Murphy G, Birch S. A framework for collaborative Pan-Canadian health human resources planning. Ottawa: Health Canada; 2007. O’Brien-Pallas L, Tomblin Murphy G, Birch S. A framework for collaborative Pan-Canadian health human resources planning. Ottawa: Health Canada; 2007.
51.
go back to reference Vujicic M, Zurn P. The dynamics of the health labour market. Int J Health Plann Manag. 2006;21(2):101–15.CrossRef Vujicic M, Zurn P. The dynamics of the health labour market. Int J Health Plann Manag. 2006;21(2):101–15.CrossRef
52.
go back to reference Kuhlmann E, Batenburg R, Groenewegen P, Larsen C. Bringing a European perspective to the health human resources debate: a scoping study. Health Policy. 2013;110(1):6–13.CrossRefPubMed Kuhlmann E, Batenburg R, Groenewegen P, Larsen C. Bringing a European perspective to the health human resources debate: a scoping study. Health Policy. 2013;110(1):6–13.CrossRefPubMed
53.
go back to reference United Kingdom House of Commons Health Committee. Workforce planning: fourth report of session 2006–7, volume 1. London: The Stationery Office Limited; 2007. United Kingdom House of Commons Health Committee. Workforce planning: fourth report of session 2006–7, volume 1. London: The Stationery Office Limited; 2007.
54.
go back to reference United Kingdom Department of Health. High quality care for all: NHS next stage review final report. London: UK Department of Health; 2008. United Kingdom Department of Health. High quality care for all: NHS next stage review final report. London: UK Department of Health; 2008.
55.
go back to reference de Savigny D, Adam T. Systems thinking for health system strengthening. Geneva: WHO; 2009. de Savigny D, Adam T. Systems thinking for health system strengthening. Geneva: WHO; 2009.
56.
go back to reference Jansen C, Codjia L, Cometto G, Yasané M, Dieleman M. Realizing universal health coverage for maternal health services in the Republic of Guinea: the use of workforce projections to design health labor market interventions. Risk Manag Health Policy. 2014;7:219–32.CrossRef Jansen C, Codjia L, Cometto G, Yasané M, Dieleman M. Realizing universal health coverage for maternal health services in the Republic of Guinea: the use of workforce projections to design health labor market interventions. Risk Manag Health Policy. 2014;7:219–32.CrossRef
57.
go back to reference Tomblin Murphy G, MacKenzie A, Walker C, Guy-Walker J. Needs-based human resources for health planning in Jamaica: using simulation modeling to inform policy options for pharmacists in the public sector. Hum Resour Health. 2014;12:67.CrossRefPubMedPubMedCentral Tomblin Murphy G, MacKenzie A, Walker C, Guy-Walker J. Needs-based human resources for health planning in Jamaica: using simulation modeling to inform policy options for pharmacists in the public sector. Hum Resour Health. 2014;12:67.CrossRefPubMedPubMedCentral
58.
go back to reference Tianviwat S, Chongsuvivatwong V, Birch S. Optimizing the mix of basic dental services for Southern Thai schoolchildren based on resource consumption, service needs and parental preference. Community Dent Oral Epidemiol. 2009;37(4):372–80.CrossRefPubMed Tianviwat S, Chongsuvivatwong V, Birch S. Optimizing the mix of basic dental services for Southern Thai schoolchildren based on resource consumption, service needs and parental preference. Community Dent Oral Epidemiol. 2009;37(4):372–80.CrossRefPubMed
59.
go back to reference Goma F, Tomblin Murphy G, Libetwa M, MacKenzie A, Nzala S, Mbwili-Muleya C, Rigby J, Gough A. Pilot-testing service-based planning for health care in rural Zambia. BMC Health Serv Res. 2014;14(Supplement 1):S7.CrossRefPubMedPubMedCentral Goma F, Tomblin Murphy G, Libetwa M, MacKenzie A, Nzala S, Mbwili-Muleya C, Rigby J, Gough A. Pilot-testing service-based planning for health care in rural Zambia. BMC Health Serv Res. 2014;14(Supplement 1):S7.CrossRefPubMedPubMedCentral
60.
go back to reference Organization for Economic Cooperation and Development. Health at a Glance 2015. Paris: OECD; 2015. Organization for Economic Cooperation and Development. Health at a Glance 2015. Paris: OECD; 2015.
Metadata
Title
Simulating future supply of and requirements for human resources for health in high-income OECD countries
Authors
Gail Tomblin Murphy
Stephen Birch
Adrian MacKenzie
Janet Rigby
Publication date
01-12-2016
Publisher
BioMed Central
Published in
Human Resources for Health / Issue 1/2016
Electronic ISSN: 1478-4491
DOI
https://doi.org/10.1186/s12960-016-0168-x

Other articles of this Issue 1/2016

Human Resources for Health 1/2016 Go to the issue