scholarly journals Time trends in the geographical distribution of physicians, nurses and midwives in Europe

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
J Winkelmann ◽  
C B Maier

Abstract Background Data on the supply of health professionals show large variations in the health workforce density among European countries based on national-level data. However, little attention has been paid to the comparison of health professional density at the regional level. This study aimed to analyse the density of physicians, nurses and midwives at regional level, using a cross-country comparative design and examine time trends. Methods Descriptive analysis of Eurostat data on the rate of health professionals per population at national and regional levels (NUTS 2 regions) for 2017 and time trends (2005-2017) and comparison to population density. To improve the cross-country comparability of data a set of criteria was applied, resulting in 15 European countries covered on physicians and eight for nurses and midwives. Changes over time in the regional distribution were analysed, using percentage change and compound annual growth rate (CAGR). Results We found a 2.4-fold difference in the physician density between the highest and lowest density countries (Austria: 513, Poland 241.6 per 100.000) and a 3.5-fold difference among nurses (Denmark: 1702.5, Bulgaria: 483). Differences by regions across Europe were higher and varied up to 4.5-fold both for physicians and nurses/midwives and did not improve over time. Results show that in all countries physician density levels are highest in densely populated regions, with capitals and/or major cities, while density of nurses and midwives tends to be higher in less populated areas. Overall, physician rates grew at a faster rate than the density levels of nurses and midwives. Conclusions International data should not only cover supply indicators at national level, but routinely collect regional data on the number of health professionals to demonstrate regional differences in workforce supply and to improve monitoring and workforce planning at regional levels. Key messages Despite increases in the density levels of physicians, nurses and midwives, time trends over a ten-year period showed no improvement in the geographical distribution within countries. The study is the first of its kind to descriptively analyse geographical density levels and time trends among health professionals across a selection of European countries using Eurostat data.

2020 ◽  
Author(s):  
Juliane Winkelmann ◽  
Ulrike Muench ◽  
Claudia B. Maier

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 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 15 European countries 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: 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 variation and varied up to 4.5-fold both for physicians and 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 tends to be higher in more sparsely populated areas. Conclusions. The large variation in workforce supply at regional levels highlights the importance for countries to routinely collect data at sub-national geographic areas in order for workforce planners, employers, educators and others to develop policies and initiatives that may impact supply of health professionals at regional levels.


2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Juliane Winkelmann ◽  
Ulrike Muench ◽  
Claudia B. Maier

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.


2020 ◽  
Author(s):  
Juliane Winkelmann ◽  
Ulrike Muench ◽  
Claudia B. Maier

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 145 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 4.5-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 tendeds 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 theThe 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 at in sub-national geographic areas in order for workforce planners, employers, educators and others to develop integrated health workforce policies and initiatives that may impact supply offor health professionals at regional levels.


2020 ◽  
Author(s):  
Juliane Winkelmann ◽  
Ulrike Muench ◽  
Claudia B. Maier

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.


2018 ◽  
Vol 91 (4) ◽  
pp. 435-440 ◽  
Author(s):  
Viorel Lupu ◽  
Izabela Ramona Lupu

Background and Aims. The purpose of the present study was to measure the prevalence of problem and pathological gambling in children and adolescents at a national level, given that previous studies at regional level  had demonstrated high rates of prevalence.Methods. After designing the sample (2006 children and adolescents aged 11-19 years) we used two validated instruments for measuring the prevalence of problem and pathological gambling in children and adolescents – South Oaks Gambling Screen –Revised for Adolescents (SOGS-RA) and 20 Questions of Gamblers Anonymous Revised for Adolescents (20 GA-RA).Results. The following data have been found: gambling at risk is 7.1% and problem and pathological gambling is 4%, when results were analyzed by SOGS-RA; prevalence of problem gambling is 10.1% and pathological gambling is 2.6% when results were analyzed by 20 GA-RA.Conclusions. High rates of prevalence are noticed in Romania, similar to other European countries. This rates are based on self-reported questionnaires, meaning that real rates may be higher than reported, being known that children and adolescents tend to give socially expected response. An important issue is that we found pathological gambling at  the age of only 11 years. Our results compared to those of other studies from Romania are very similar to those from other European countries. 


2019 ◽  
Vol 70 (1) ◽  
pp. 173-182 ◽  
Author(s):  
Fabio Giuliano Caetano ◽  
Vitor Panula da Silva ◽  
Ricardo da Silva Torres ◽  
Ricardo de Oliveira Anido ◽  
Sergio Augusto Cunha ◽  
...  

Abstract The purpose of this study was to analyse the dynamics of play based on dyads during soccer matches, according to the competition level, period of the matches, and playing positions. We recorded eight Brazilian soccer matches (four of the national and four of the regional level), using up to six digital cameras (30 Hz). The position information of the 204 players in the eight matches was obtained using an automatic tracking system. The Euclidean distance between the nearest opponents was calculated over time to define the dyads. The interaction between the components of dyads was assessed by the distances between players and was compared among the different positions (defender, full-back, defensive midfielder, midfielder, and forward), match periods (15, 30, 45, 60, 75, and 90 min), and competition levels. Results showed smaller distances for the national level dyads, compared to the regional matches. Greater distances between the players were found in the last 15 minutes of the matches, compared to the other periods. The full-backs were more distant from opposing players compared to players from other playing positions. Thus, coaches should consider the characteristics of each playing position and the greater proximity between opponents’ players in top-level competition for the development of tactical proficiency of the players.


2020 ◽  
Author(s):  
Roberto Zavatta

This paper provides an overview of territorial patterns of COVID-19 deaths in four European countries severely affected by the pandemic, Spain, France, Italy, and the United Kingdom. The analysis focuses on cumulated COVID-19 mortality at the sub-regional level, following the territorial subdivision of countries adopted by the European Union. The paper builds upon a dataset with highly granular information on COVID-19 deaths assembled from various sources. The analysis shows remarkable differences in territorial patterns of COVID-19 mortality, both within and across the four countries reviewed. Results somewhat differ depending on the aspect considered (concentration of deaths or mortality rates) but, in general, Italy, France and Spain display significant territorial disparities, with selected sub-regions being disproportionately affected by the pandemic. Instead, the picture is more uniform in the UK, with comparatively lower differences across the various sub-regions. These findings suggest that analyses of COVID-19 mortality at the national level (and, sometimes, even at the regional level) may conceal major differences and therefore be of limited use, both analytically and from an operational viewpoint.


2020 ◽  
Vol 22 (3-4) ◽  
pp. 439-448
Author(s):  
Barbara Hutniczak ◽  
Frank Meere

Abstract This paper highlights three major concerns pertaining to legal frameworks aimed at elimination of IUU fishing across the globe. First, gaps persist even among developed countries and there is room for improvement at national level and scope for cross-country exchange of experiences. Second, to avoid undermining its own efforts directed towards sustainable exploitation of marine resources, all states should be interested in supporting their counterparts in closing regulatory gaps in fisheries regulations. International collaboration can result in improved management of fishery resources in developing countries. Third, the adoption of best practices at a national level does not necessarily go hand in hand with introducing state-of-the-art measures at the regional level. States with well-developed national legal frameworks have an opportunity to have a positive impact on the development of conservation and management measures at the regional level, but the move towards best practice is slow.


Author(s):  
Telesca Giuseppe

The ambition of this book is to combine different bodies of scholarship that in the past have been interested in (1) providing social/structural analysis of financial elites, (2) measuring their influence, or (3) exploring their degree of persistence/circulation. The final goal of the volume is to investigate the adjustment of financial elites to institutional change, and to assess financial elites’ contribution to institutional change. To reach this goal, the nine chapters of the book introduced here look at financial elites’ role in different European societies and markets over time, and provide historical comparisons and country and cross-country analysis of their adaptation and contribution to the transformation of the national and international regulatory/cultural context in the wake of a crisis or in a longer term perspective.


2020 ◽  
Vol 77 (3) ◽  
Author(s):  
Mark A. Atkinson ◽  
David M. Edwards ◽  
Frank Søndergaard Jensen ◽  
Alexander P. N. van der Jagt ◽  
Ben R. Ditchburn ◽  
...  

Abstract Key message National Forest Inventories (NFIs) hold promise for monitoring and valuing of non-productive forest functions, including social and recreational services. European countries use a range of methods to collect social and recreational information within their NFI methodologies. Data collected frequently included general and recreation-specific infrastructure, but innovative approaches are also used to monitor recreational use and social abuse. Context Social and recreational indicators are increasingly valued in efforts to measure the non-productive value of forests in Europe. National Forest Inventories (NFIs) can be used to estimate recreational and social usage of forest land at a national level and relate this use to other biophysical, spatial and topographical features. Nonetheless, there is little information concerning the extent. Aims The study aims to identify the coverage of social and recreational data present in European NFIs including the types of data recorded as part of the NFI methodologies across European countries. It also aims to examine contrasting methods used to record social and recreational data and present recommendations for ways forward for countries to integrate these into NFI practice. Methods A pan-European questionnaire was designed and distributed to 35 counties as part of the EU-funded project Distributed, Integrated and Harmonised Forest Information for Bioeconomy Outlooks (DIABOLO). The questionnaire probed countries on all social and recreational data that was included within NFIs. Qualitative response data was analysed and recoded to measure the extent of social and recreational data recoded in European NFIs both as a function of the number of variable categories per country and the number of countries recording particular variables. Results Thirty-one countries reported at least one social or recreational variable over 12 categories of data. The most frequently recorded variables included ownership, general transport infrastructure and recreation-specific infrastructure. Countries collecting data over many different categories included Switzerland, Great Britain, Czech Republic, Luxemburg and Denmark. Conclusion The study proposes a specific set of indicators, based upon countries with well-developed social and recreational data in their NFIs, which could be used by other countries, and report on the extent to which these are currently collected across Europe. It discusses results and makes a series of recommendations concerning priorities for the inclusion of social and recreational data in European NFIs.


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