Analysis of Health Status in the Czech Republic: 2019-2022 Trends

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F29142890%3A_____%2F25%3A00049898" target="_blank" >RIV/29142890:_____/25:00049898 - isvavai.cz</a>

Výsledek na webu

<a href="https://link.springer.com/chapter/10.1007/978-3-031-82275-9_4" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-82275-9_4</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Analysis of Health Status in the Czech Republic: 2019-2022 Trends

Popis výsledku v původním jazyce

This study monitors the health profile in EU-27 countries, including the Czech Republic during the last four years. Selected period takes into account the duration of the Covid-19 pandemic. Aims: To construct the health profile scale for EU-27 member states in relation to COVID-19 and analyze regional similarities and disparities. Results for Czechia will be compared with EU average and EU-27. The health profile scoring of EU-27 countries was enumerated. The main data sources were the Eurostat Database and OECD. Results: EU-27 countries may be divided into six categories. Sweden, Germany, Netherlands and Austria have the best performance. Main disparities were found in measures: health expenditure per capita, outpatient care, inpatient care, long-term care and prevention. Conclusions: Measurement results may serve as recommendations towards social and health sector. Findings in this study may be considered in future research by analyzing further aspects of the population health status.

Název v anglickém jazyce

Analysis of Health Status in the Czech Republic: 2019-2022 Trends

Popis výsledku anglicky

This study monitors the health profile in EU-27 countries, including the Czech Republic during the last four years. Selected period takes into account the duration of the Covid-19 pandemic. Aims: To construct the health profile scale for EU-27 member states in relation to COVID-19 and analyze regional similarities and disparities. Results for Czechia will be compared with EU average and EU-27. The health profile scoring of EU-27 countries was enumerated. The main data sources were the Eurostat Database and OECD. Results: EU-27 countries may be divided into six categories. Sweden, Germany, Netherlands and Austria have the best performance. Main disparities were found in measures: health expenditure per capita, outpatient care, inpatient care, long-term care and prevention. Conclusions: Measurement results may serve as recommendations towards social and health sector. Findings in this study may be considered in future research by analyzing further aspects of the population health status.

Druh

C - Kapitola v odborné knize

CEP obor

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OECD FORD obor

10700 - Other natural sciences

Projekt

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Návaznosti

N - Vyzkumna aktivita podporovana z neverejnych zdroju

Rok uplatnění

2025

Kód důvěrnosti údajů

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

Název knihy nebo sborníku

Quantitative Methods and Data Analysis in Applied Demography - Volume 1

ISBN

978-3-031-82275-9

Počet stran výsledku

9

Strana od-do

39-47

Počet stran knihy

277

Název nakladatele

Springer Cham

Místo vydání

Switzerland

Kód UT WoS kapitoly

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