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[Equally good care of myocardial infarction in Sweden today. Geographic differences in mortality are without significance for the individual patient]

https://arctichealth.org/en/permalink/ahliterature53204
Source
Lakartidningen. 2005 Jan 3-16;102(1-2):20-3
Publication Type
Article
Author
Juan Merlo
Anders Håkansson
Anders Beckman
Ulf Lindblad
Martin Lindström
Ulf-G Gerdtham
Lennart Råstam
Author Affiliation
Samhällsmedicinska institutionen, Universitetssjukhuset MAS, Malmö. juan.merlo@smi.mas.lu.se
Source
Lakartidningen. 2005 Jan 3-16;102(1-2):20-3
Language
Swedish
Publication Type
Article
Keywords
Aged
Comparative Study
English Abstract
Female
Hospital Mortality
Humans
Male
Middle Aged
Myocardial Infarction - mortality - therapy
Odds Ratio
Quality of Health Care
Regression Analysis
Sweden - epidemiology
Abstract
It is a known fact that the 1990s brought a decrease in mortality after myocardial infarction in Sweden but that differences in mortality rates following myocardial infarction still remain between the Swedish counties. Unresolved, however, are questions as to what these inter-county differences mean for the individual patient and what role hospital care plays in this context. We analysed all patients aged 64-85 years who were hospitalised following diagnosis of myocardial infarction in Sweden during the period 1993-1996. To gain an understanding of the relevance of geographical differences in mortality after myocardial infarction for the individual patient we applied multi-level regression analysis and calculated county and hospital median odds ratios (MORs) in relation to 28-day mortality. For hospitalised patients with myocardial infarction, being cared for in another hospital with higher mortality would increase the risk of dying by 9% (MOR = l.09) in men and 12% in women. If these patients moved to another county with higher mortality the risk would increase by 7% and 3%, respectively. The small geographical differences in 28-day mortality after myocardial infarction found in Sweden suggest a high degree of equality across the country; however, further improvement could be achieved in hospital care, especially for women--an issue that deserves further analysis.
Notes
Comment In: Lakartidningen. 2005 Jan 3-16;102(1-2):9-1015707101
PubMed ID
15707102 View in PubMed
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[Poisson's regression better than x2-test. Suicide frequency in Gotland as a basis for analysis of changes of rare events in a small group]

https://arctichealth.org/en/permalink/ahliterature68360
Source
Lakartidningen. 2001 Jan 31;98(5):433-6
Publication Type
Article
Date
Jan-31-2001
Author
S E Johansson
Author Affiliation
sven-erik.johansson@klinvet.ki.se
Source
Lakartidningen. 2001 Jan 31;98(5):433-6
Date
Jan-31-2001
Language
Swedish
Publication Type
Article
Keywords
Humans
Models, Statistical
Poisson Distribution
Regression Analysis
Suicide - statistics & numerical data
Sweden - epidemiology
PubMed ID
11229086 View in PubMed
Less detail