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Published in: BMC Health Services Research 1/2020

Open Access 01-12-2020 | Research article

Time trends in the regional distribution of physicians, nurses and midwives in Europe

Authors: Juliane Winkelmann, Ulrike Muench, Claudia B. Maier

Published in: BMC Health Services Research | Issue 1/2020

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Abstract

Background

Country-level data suggest large differences in the supply of health professionals among European countries. However, little is know about the regional supply of health professionals taking a cross-country comparative perspective. The aim of the study was to analyse the regional distribution of physicians, nurses and midwives in the highest and lowest density regions in Europe and examine time trends.

Methods

We used Eurostat data and descriptive statistics to assess the density of physicians, nurses and midwives at national and regional levels (Nomenclature of Territorial Units for Statistics (NUTS) 2 regions) for 2017 and time trends (2005–2017). To ensure cross-country comparability we applied a set of criteria (working status, availability over time, geographic availability, source). This resulted in 14 European Union (EU) countries and Switzerland being available for the physician analysis and eight countries for the nurses and midwives analysis. Density rates per population were analysed at national and NUTS 2 level, of which regions with the highest and lowest density of physicians, nurses and midwives were identified. We examined changes over time in regional distributions, using percentage change and Compound Annual Growth Rate (CAGR).

Results

There was a 2.4-fold difference in the physician density between the highest and lowest density countries (Austria national average: 513, Poland 241.6 per 100,000) and a 3.5-fold difference among nurses (Denmark: 1702.5, Bulgaria: 483.0). Differences by regions across Europe were higher than cross-country variations and varied up to 5.5-fold for physicians and 4.4-fold for nurses/midwives and did not improve over time. Capitals and/or major cities in all countries showed a markedly higher supply of physicians than more sparsely populated regions while the density of nurses and midwives tended to be higher in more sparsely populated areas. Over time, physician rates increased faster than density levels of nurses and midwives.

Conclusions

The study shows for the first time the large variation in health workforce supply at regional levels and time trends by professions across the European region. This highlights the importance for countries to routinely collect data in sub-national geographic areas to develop integrated health workforce policies for health professionals at regional levels.
Footnotes
1
2014 is used for the averge as no data is availabe for Denmark and Sweden for 2015. The average for 2015 is much lower (679.32) given that Denmark and Sweden have the highest per capita ratios of nurses and midwives.
 
2
2014 is used for the averge as no data is availabe for Denmark and Sweden for 2015. The average for 2015 is much lower (679.3) given that Denmark and Sweden have the highest per capita ratios of nurses and midwives.
 
Literature
1.
go back to reference Anand S, Bärnighausen T. Health workers at the core of the health system: Framework and research issues. Health Policy (New York). 2012. Anand S, Bärnighausen T. Health workers at the core of the health system: Framework and research issues. Health Policy (New York). 2012.
5.
go back to reference Pozo-Martin F, Nove A, Lopes SC, Campbell J, Buchan J, Dussault G, et al. Health workforce metrics pre- and post-2015: a stimulus to public policy and planning. Hum Resour Health. 2017. Pozo-Martin F, Nove A, Lopes SC, Campbell J, Buchan J, Dussault G, et al. Health workforce metrics pre- and post-2015: a stimulus to public policy and planning. Hum Resour Health. 2017.
6.
go back to reference Freund T, Everett C, Griffiths P, Hudon C, Naccarella L, Laurant M. Skill mix, roles and remuneration in the primary care workforce: who are the healthcare professionals in the primary care teams across the world? Int J Nurs Stud. 2015;52(3):727–43.CrossRef Freund T, Everett C, Griffiths P, Hudon C, Naccarella L, Laurant M. Skill mix, roles and remuneration in the primary care workforce: who are the healthcare professionals in the primary care teams across the world? Int J Nurs Stud. 2015;52(3):727–43.CrossRef
7.
go back to reference Buchan J, Couper ID, Tangcharoensathien V, Thepannya K, Jaskiewicz W, Perfilieva G, et al. Early implementation of WHO recommendations for the retention of health workers in remote and rural areas. Bull World Health Organ. 2013;91:834–40. https://doi.org/10.2471/BLT.13.119008. Buchan J, Couper ID, Tangcharoensathien V, Thepannya K, Jaskiewicz W, Perfilieva G, et al. Early implementation of WHO recommendations for the retention of health workers in remote and rural areas. Bull World Health Organ. 2013;91:834–40. https://​doi.​org/​10.​2471/​BLT.​13.​119008.
9.
go back to reference OECD/EU. Health at a Glance: Europe 2018: State of Health in the EU Cycle. Paris/EU, Brussels; 2018. OECD/EU. Health at a Glance: Europe 2018: State of Health in the EU Cycle. Paris/EU, Brussels; 2018.
11.
go back to reference Ono T, Schoenstein M, Buchan J. Geographic Imbalances in Doctor Supply and Policy Responses. OECD Heal Work Pap. 2014;. Ono T, Schoenstein M, Buchan J. Geographic Imbalances in Doctor Supply and Policy Responses. OECD Heal Work Pap. 2014;.
12.
go back to reference Baeten R, Spasova S, Vanhercke B, Coster S. Inequalities in access to healthcare. A study of national policies 2018. Brussels: Directorate-General for Employment, Social Affairs and Inclusion; 2018. Baeten R, Spasova S, Vanhercke B, Coster S. Inequalities in access to healthcare. A study of national policies 2018. Brussels: Directorate-General for Employment, Social Affairs and Inclusion; 2018.
13.
go back to reference MATRIX INSIGHT CENTRE FOR WORKFORCE INTELLIGENCE. EU level Collaboration on Forecasting Health Workforce Needs , Workforce Planning and Health Workforce Trends – A Feasibility Study. 2012. MATRIX INSIGHT CENTRE FOR WORKFORCE INTELLIGENCE. EU level Collaboration on Forecasting Health Workforce Needs , Workforce Planning and Health Workforce Trends – A Feasibility Study. 2012.
15.
go back to reference Huteau G, Legros M. ESPN Thematic Report on Inequalities in access to healthcare France. 2018. Huteau G, Legros M. ESPN Thematic Report on Inequalities in access to healthcare France. 2018.
17.
go back to reference Barriball KLB, Buchan J, Craveiro J, Dieleman I, Dix M, Dussault G, et al. Recruitment and retention of the health workforce in Europe. Final report. Luxembourg: Publications Office of the European Union; 2015. Barriball KLB, Buchan J, Craveiro J, Dieleman I, Dix M, Dussault G, et al. Recruitment and retention of the health workforce in Europe. Final report. Luxembourg: Publications Office of the European Union; 2015.
18.
go back to reference de Oliveira APC, Dussault G, Craveiro I. Challenges and strategies to improve the availability and geographic accessibility of physicians in Portugal. Hum Resour Health. 2017;15(24). de Oliveira APC, Dussault G, Craveiro I. Challenges and strategies to improve the availability and geographic accessibility of physicians in Portugal. Hum Resour Health. 2017;15(24).
22.
go back to reference European Union. Directive 2005/36/EC of the European Parliament and of the council of 7 September 2005 on the recognition of professional qualifications (text with EEA relevance). Off J Eur Union. 2005;L255. European Union. Directive 2005/36/EC of the European Parliament and of the council of 7 September 2005 on the recognition of professional qualifications (text with EEA relevance). Off J Eur Union. 2005;L255.
25.
go back to reference European Communities. Regions in the European Union, nomenclature of territorial units for statistics NUTS 2006/EU-27. Eurostat methodologies and working papers 2007. European Communities. Regions in the European Union, nomenclature of territorial units for statistics NUTS 2006/EU-27. Eurostat methodologies and working papers 2007.
27.
29.
go back to reference Eurobase. Eurostat – Health care staff Nursing and caring professionals. 2019. Eurobase. Eurostat – Health care staff Nursing and caring professionals. 2019.
30.
go back to reference Eurostat. Health personnel by NUTS 2 regions : medical doctors; nurses and midwives. 2020. Eurostat. Health personnel by NUTS 2 regions : medical doctors; nurses and midwives. 2020.
31.
go back to reference Eurostat. Eurostat – Health care staff. Nursing and caring professionals. 2018. Eurostat. Eurostat – Health care staff. Nursing and caring professionals. 2018.
34.
go back to reference Dunn A, Liebman E, Pack S, Shapiro AH. Medical Care Price Indexes for Patients with Employer-Provided Insurance : Nationally Representative Estimates from MarketScan Data. 2010;2008:1173–90. Dunn A, Liebman E, Pack S, Shapiro AH. Medical Care Price Indexes for Patients with Employer-Provided Insurance : Nationally Representative Estimates from MarketScan Data. 2010;2008:1173–90.
35.
go back to reference European Commission. State of Health in the EU- Companion Report. 2019. European Commission. State of Health in the EU- Companion Report. 2019.
37.
go back to reference Isabel C, Paula V. Geographic distribution of physicians in Portugal. Eur J Health Econ. 2010;11(4):383–93.CrossRef Isabel C, Paula V. Geographic distribution of physicians in Portugal. Eur J Health Econ. 2010;11(4):383–93.CrossRef
38.
go back to reference Rosenthal MB, Zaslavsky A, Newhouse JP. The geographic distribution of physicians revisited. Health Serv Res. 2005;40(6 Pt 1):1931–52.CrossRef Rosenthal MB, Zaslavsky A, Newhouse JP. The geographic distribution of physicians revisited. Health Serv Res. 2005;40(6 Pt 1):1931–52.CrossRef
39.
go back to reference Dussault G, Franceschini MC. Not enough there, too many here: Understanding geographical imbalances in the distribution of the health workforce. Hum Resour Health. 2006;4(12). Dussault G, Franceschini MC. Not enough there, too many here: Understanding geographical imbalances in the distribution of the health workforce. Hum Resour Health. 2006;4(12).
40.
go back to reference OECD. Rural-Urban Partnerships An Integrated Approach to Economic Development. Paris: OECD Rural Policy Reviews; 2013.CrossRef OECD. Rural-Urban Partnerships An Integrated Approach to Economic Development. Paris: OECD Rural Policy Reviews; 2013.CrossRef
41.
go back to reference Constantin D-L, Ailenei D, Alpopi C, Bodea C, Mitrut C, Cristescu A, et al. Bucharest Metropolitan Area and Its Regional Hinterland. Case study report. 2014. p. 1–33. Constantin D-L, Ailenei D, Alpopi C, Bodea C, Mitrut C, Cristescu A, et al. Bucharest Metropolitan Area and Its Regional Hinterland. Case study report. 2014. p. 1–33.
42.
go back to reference South Muntenia Regional Development Agency. Smart Specialization Strategy of South Muntenia Region. Innovative instrument devoted to regional economic development. 2018. South Muntenia Regional Development Agency. Smart Specialization Strategy of South Muntenia Region. Innovative instrument devoted to regional economic development. 2018.
45.
go back to reference Anell A, Glenngård AH, Merkur S. Sweden health system review. Health Syst Transit. 2012;14(5):1–159. Anell A, Glenngård AH, Merkur S. Sweden health system review. Health Syst Transit. 2012;14(5):1–159.
48.
go back to reference Pieper M. Pflege der Pflegekräfte: mangelhaft! Orthopädie & Rheuma. 2018;21(3):3.CrossRef Pieper M. Pflege der Pflegekräfte: mangelhaft! Orthopädie & Rheuma. 2018;21(3):3.CrossRef
49.
go back to reference Maier CB, Aiken LH. Task shifting from physicians to nurses in primary care in 39 countries: a cross-country comparative study. Eur J Pub Health. 2016;26(6):927–34.CrossRef Maier CB, Aiken LH. Task shifting from physicians to nurses in primary care in 39 countries: a cross-country comparative study. Eur J Pub Health. 2016;26(6):927–34.CrossRef
50.
go back to reference Maier C, Aiken L, Busse R. Nurses in advanced roles in primary care: policy levers for implementation. OECD Heal Work Pap 2017;. Maier C, Aiken L, Busse R. Nurses in advanced roles in primary care: policy levers for implementation. OECD Heal Work Pap 2017;.
51.
go back to reference Marć M, Bartosiewicz A, Burzyńska J, Chmiel Z, Januszewicz P. A nursing shortage – a prospect of global and local policies. Int Nurs Rev. 2019;66(1):9–16.CrossRef Marć M, Bartosiewicz A, Burzyńska J, Chmiel Z, Januszewicz P. A nursing shortage – a prospect of global and local policies. Int Nurs Rev. 2019;66(1):9–16.CrossRef
52.
go back to reference Sowada C, Sagan A, Kowalska-Bobko I. Poland health System Review. Health Syst Transit. 2019;21(1). Sowada C, Sagan A, Kowalska-Bobko I. Poland health System Review. Health Syst Transit. 2019;21(1).
53.
go back to reference Bachner F, Bobek J, Habimana K, Ladurner J, Lepuschutz L, Ostermann H, et al. Austria: health system review. Health Syst Transit. 2018;20(3):1–256.PubMed Bachner F, Bobek J, Habimana K, Ladurner J, Lepuschutz L, Ostermann H, et al. Austria: health system review. Health Syst Transit. 2018;20(3):1–256.PubMed
54.
go back to reference Rosenthal MB, Zaslavsky A, Newhouse JP. The geographic distribution of physicians revisited. Health Serv Res. 2005;. Rosenthal MB, Zaslavsky A, Newhouse JP. The geographic distribution of physicians revisited. Health Serv Res. 2005;.
55.
go back to reference Fjaer EL, Stornes P, Borisova LV, McNamara CL, Eikemo TA. Subjective perceptions of unmet need for health care in Europe among social groups: findings from the European social survey (2014) special module on the social determinants of health. Eur J Pub Health. 2017;27:82–9.CrossRef Fjaer EL, Stornes P, Borisova LV, McNamara CL, Eikemo TA. Subjective perceptions of unmet need for health care in Europe among social groups: findings from the European social survey (2014) special module on the social determinants of health. Eur J Pub Health. 2017;27:82–9.CrossRef
56.
go back to reference Kane RL, Shamliyan TA, Mueller C, Duval S, Wilt TJ. The association of registered nurse staffing levels and patient outcomes: systematic review and meta-analysis. Med Care. 2007. Kane RL, Shamliyan TA, Mueller C, Duval S, Wilt TJ. The association of registered nurse staffing levels and patient outcomes: systematic review and meta-analysis. Med Care. 2007.
58.
go back to reference Griffiths P, Ball J, Drennan J, Dall’Ora C, Jones J, Maruotti A, et al. Nurse staffing and patient outcomes: Strengths and limitations of the evidence to inform policy and practice. A review and discussion paper based on evidence reviewed for the National Institute for Health and Care Excellence Safe Staffing guideline develo. Int J Nurs Stud. 2016;63:213–25. https://doi.org/10.1016/j.ijnurstu.2016.03.012. Griffiths P, Ball J, Drennan J, Dall’Ora C, Jones J, Maruotti A, et al. Nurse staffing and patient outcomes: Strengths and limitations of the evidence to inform policy and practice. A review and discussion paper based on evidence reviewed for the National Institute for Health and Care Excellence Safe Staffing guideline develo. Int J Nurs Stud. 2016;63:213–25. https://​doi.​org/​10.​1016/​j.​ijnurstu.​2016.​03.​012.
Metadata
Title
Time trends in the regional distribution of physicians, nurses and midwives in Europe
Authors
Juliane Winkelmann
Ulrike Muench
Claudia B. Maier
Publication date
01-12-2020
Publisher
BioMed Central
Published in
BMC Health Services Research / Issue 1/2020
Electronic ISSN: 1472-6963
DOI
https://doi.org/10.1186/s12913-020-05760-y

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