Statistical Analysis of Health Inequalities in European Countries

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F19%3A39913056" target="_blank" >RIV/00216275:25410/19:39913056 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.itm-conferences.org/articles/itmconf/abs/2019/01/itmconf_amcse18_02002/itmconf_amcse18_02002.html" target="_blank" >https://www.itm-conferences.org/articles/itmconf/abs/2019/01/itmconf_amcse18_02002/itmconf_amcse18_02002.html</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1051/itmconf/20192402002" target="_blank" >10.1051/itmconf/20192402002</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Statistical Analysis of Health Inequalities in European Countries

Popis výsledku v původním jazyce

Efficiently functioning health systems are a prerequisite for high-quality health care and healthy life expectancy. Health care management at all levels requires a lot of information that can be obtained only by relevant analyses of health data. There are collected and regularly updated on-line published a large number of databases and enormous number of indicators about health status, health expenditures and health systems functioning at regional, national, EU member countries, OECD countries and on the world level. Paradoxically, the extent of these data sets is the reason why without at least basic statistical analysis the level of provided information is minimal. Advanced statistical methods aimed at reducing the dimension and quantification of causal relationships can provide significant information added value. The objective of this article is to analyse causal relationships between health status, health expenditures and sources of health care in selected European countries and to identify determinants of health inequalities in European countries by applying multidimensional statistical methods.

Název v anglickém jazyce

Statistical Analysis of Health Inequalities in European Countries

Popis výsledku anglicky

Efficiently functioning health systems are a prerequisite for high-quality health care and healthy life expectancy. Health care management at all levels requires a lot of information that can be obtained only by relevant analyses of health data. There are collected and regularly updated on-line published a large number of databases and enormous number of indicators about health status, health expenditures and health systems functioning at regional, national, EU member countries, OECD countries and on the world level. Paradoxically, the extent of these data sets is the reason why without at least basic statistical analysis the level of provided information is minimal. Advanced statistical methods aimed at reducing the dimension and quantification of causal relationships can provide significant information added value. The objective of this article is to analyse causal relationships between health status, health expenditures and sources of health care in selected European countries and to identify determinants of health inequalities in European countries by applying multidimensional statistical methods.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10103 - Statistics and probability

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2019

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

ITM Web of Conferences

ISBN

—

ISSN

2271-2097

e-ISSN

2271-2097

Počet stran výsledku

9

Strana od-do

1-9

Název nakladatele

EDP Sciences

Místo vydání

Les Ulis

Místo konání akce

Řím

Datum konání akce

23. 11. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000473095100017