Use of socio-economic factors and healthcare resources to estimate cancer survival in European countries with partial national cancer registration

2011 ◽  
Vol 97 (3) ◽  
pp. 265-274 ◽  
Author(s):  
Roberto Lillini ◽  
Marina Vercelli ◽  
Alberto Quaglia ◽  
Andrea Micheli ◽  
Riccardo Capocaccia
Keyword(s):  
Cancer Survival ◽  
European Countries ◽  
Cancer Registration ◽  
Economic Factors ◽  
Healthcare Resources ◽  
Socio Economic Factors

Place of residence and cancer survival in Germany – regional disparities and possible causes

2016 ◽  
Vol 24 (1) ◽  
pp. 36-38
Author(s):  
Lina Jansen ◽  
Hermann Brenner
Keyword(s):  
Cancer Patients ◽  
Cancer Survival ◽  
Regional Disparities ◽  
Economic Factors ◽  
Place Of Residence ◽  
Regional Variations ◽  
Eastern Germany ◽  
Socio Economic Factors

Abstract: Regional disparities in cancer survival have been disclosed in various countries and have mostly been attributed to socio-economic factors. Here, we summarize the results from recent studies on regional variations in cancer survival in Germany. Results show that the former survival gap of cancer patients in Eastern Germany has been essentially overcome. However, survival disadvantages were observed in most deprived regions in Germany.

scholarly journals Cancer survival in the elderly: Effects of socio-economic factors and health care system features (ELDCARE project)

2006 ◽  
Vol 42 (2) ◽  
pp. 234-242 ◽  
Author(s):  
Marina Vercelli ◽  
Roberto Lillini ◽  
Riccardo Capocaccia ◽  
Andrea Micheli ◽  
Jan Willem Coebergh ◽  
...  
Keyword(s):  
Health Care ◽  
Health Care System ◽  
Cancer Survival ◽  
The Elderly ◽  
Economic Factors ◽  
Socio Economic Factors ◽  
Care System

scholarly journals On Determinants Of The Economic Growth Of European Countries During 2005–2015

2017 ◽  
Vol 20 (2) ◽  
pp. 21-33 ◽  
Author(s):  
Jiří Mazurek
Keyword(s):  
Economic Growth ◽  
Great Recession ◽  
Initial Level ◽  
Physical Capital ◽  
European Countries ◽  
Economic Factors ◽  
Foreign Direct Investments ◽  
Economic Openness ◽  
The Great Recession ◽  
Socio Economic Factors

The aim of the paper is to examine the economic growth of 32 European countries from 2005 to 2015. This period was characterized by a strong growth prior to 2009, when the Great Recession started, and lasted until 2012–2013 in the majority of examined countries. The growth between 2005 and 2015 was studied with regard to six selected socio-economic factors: initial level of the gross domestic product, economic openness, democracy index, human capital, physical capital, and foreign direct investments. The main result is that the growth was directly proportional to human and physical capital, and indirectly proportional to the initial level of GDP and the democracy index. Furthermore, cluster analysis showed that the historical division of Europe into “West” and “East” still persists to a considerable extent.

scholarly journals What Drives Cross-Country Health Inequality in the EU? Unpacking the Role of Socio-economic Factors

2021 ◽  
Author(s):  
Gintare Mazeikaite ◽  
Cathal O’Donoghue ◽  
Denisa M. Sologon
Keyword(s):  
Population Health ◽  
The Other ◽  
European Countries ◽  
Economic Factors ◽  
The European Union ◽  
Decomposition Approach ◽  
Health Differences ◽  
Cross Country ◽  
The Eu ◽  
Socio Economic Factors

AbstractDespite comparable living standards and a nearly universal healthcare provision, there are large cross-country differences in population health in the European Union. More than half of this variation remains unexplained after accounting for macro-level factors. This paper investigates how individual-level differences in demographic characteristics, education, labour market factors and income shape the prevalence of poor self-assessed health in the EU. A semi-parametric decomposition approach is used, which relies on constructing synthetic distributions of health that would prevail in each country if they had similar distributions of socio-economic factors as the country with the best self-assessed population health—Ireland. We find clustering of decomposition results within EU regions. When compared with Ireland, differences in the examined factors explain up to a third of excess poor health in the Southern and Central and Eastern European countries. On the other hand, we could not explain health differences between Ireland and the other Western European countries, which tend to have poorer self-assessed population health but more favourable distributions of socio-economic factors. Cultural differences in reporting styles may be responsible for this result.

Socio-economic factors and health care system characteristics related to cancer survival in the elderly

2005 ◽  
Vol 54 (2) ◽  
pp. 117-128 ◽  
Author(s):  
Alberto Quaglia ◽  
Marina Vercelli ◽  
Roberto Lillini ◽  
Eugenio Mugno ◽  
Jan Willem Coebergh ◽  
...  
Keyword(s):  
Health Care ◽  
Health Care System ◽  
Cancer Survival ◽  
The Elderly ◽  
Economic Factors ◽  
System Characteristics ◽  
Socio Economic Factors ◽  
Care System

scholarly journals Escaping Energy Poverty: A Comparative Analysis of 17 European Countries

Energies ◽  
2021 ◽  
Vol 14 (18) ◽  
pp. 5761
Author(s):  
Lilia Karpinska ◽  
Sławomir Śmiech
Keyword(s):  
Comparative Analysis ◽  
European Countries ◽  
Poverty Trap ◽  
Economic Factors ◽  
Energy Poverty ◽  
Poor Households ◽  
Poverty Transitions ◽  
The Eu ◽  
Socio Economic Factors

A comparative analysis of energy poverty transitions and persistence can provide valuable suggestions for long-term policy actions. This study examines the dynamics of energy poverty in 17 European countries based on the longitudinal household data from the EU Survey on Income and Living Conditions, waves 2015–2018. The study pursues two goals. First, we explore households’ chances of transitioning in and out of energy poverty in each country following the discrete-time Markov process. On average, the probability to stay in energy poverty is 51.5%, and there is a lot of heterogeneity across countries. Households in Bulgaria, Greece, Romania, and Lithuania are quite close to the energy poverty trap. Second, we identify factors that help energy-poor households leave energy poverty. Demographic, technical, and socio-economic factors are the drivers in escaping energy poverty, which suggests common EU policy.

scholarly journals Dynamic Spatial Panel Data Models in Identifying Socio-Economic Factors Affecting the Level of Health in Selected European Countries

2019 ◽  
Vol 26 (1) ◽  
pp. 195-211
Author(s):  
Agnieszka Orwat-Acedańska
Keyword(s):  
Panel Data ◽  
Data Models ◽  
European Countries ◽  
Likelihood Method ◽  
Economic Factors ◽  
Panel Data Models ◽  
Spatial Panel ◽  
Spatial Panel Data Models ◽  
Spatial Panel Data ◽  
Socio Economic Factors

The aim of the paper is to investigate the relationship between socio-economic factors and the level of health of citizens of selected European countries. Disability-adjusted life years (DALYs) were used as the measure of health. The author applied dynamic spatial panel data models with fixed effects and spatial autocorrelation of the error term. The models were estimated using a novel, modified quasi maximum likelihood method based on M-estimators. The approach is resistant to deviations from the assumptions on the distribution of initial observations. The estimation of initial observations is a severe weakness of standard methods based on the maximization of the quasi-likelihood function in the case of short panels. M-estimators are consistent and asymptotically normally distributed. The empirical analysis covers the specification, estimation, and verification of the models.

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