Individual and Regional-level Factors Contributing to Variation in Length of Stay After Cerebral Infarction in Six European Countries
Language English Country England, Great Britain Media print
Document type Journal Article
PubMed
26633867
DOI
10.1002/hec.3264
Knihovny.cz E-resources
- Keywords
- Europe, cerebral infarction, length of stay, regional variation,
- MeSH
- Cerebral Infarction economics mortality MeSH
- Length of Stay economics statistics & numerical data MeSH
- Adult MeSH
- Middle Aged MeSH
- Humans MeSH
- Young Adult MeSH
- Regression Analysis MeSH
- Aged, 80 and over MeSH
- Aged MeSH
- Check Tag
- Adult MeSH
- Middle Aged MeSH
- Humans MeSH
- Young Adult MeSH
- Male MeSH
- Aged, 80 and over MeSH
- Aged MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Geographicals
- Europe epidemiology MeSH
Using patient-level data for cerebral infarction cases in 2007, gathered from Finland, Hungary, Italy, the Netherlands, Scotland and Sweden, we studied the variation in risk-adjusted length of stay (LoS) of acute hospital care and 1-year mortality, both within and between countries. In addition, we analysed the variance of LoS and associations of selected regional-level factors with LoS and 1-year mortality after cerebral infarction. The data show that LoS distributions are surprisingly different across countries and that there is significant deviation in the risk-adjusted regional-level LoS in all of the countries studied. We used negative binomial regression to model the individual-level LoS, and random intercept models and ordinary least squares regression for the regional-level analysis of risk-adjusted LoS, variance of LoS, 1-year risk-adjusted mortality and crude mortality for a period of 31-365 days. The observed variations between regions and countries in both LoS and mortality were not fully explained by either patient-level or regional-level factors. The results indicate that there may exist potential for efficiency gains in acute hospital care of cerebral infarction and that healthcare managers could learn from best practices.
Centre for Research on Health and Social Care Management Bocconi University Milano Italy
Department of Sociology Faculty of Social Sciences Charles University Prague The Czech Republic
Medical Management Centre Karolinska Institutet Stockholm Sweden
National Health Services Edinburgh Scotland
National Institute for Public Health and the Environment Bilthoven The Netherlands
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