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Validation of Hospital Performance Measures of Acute Stroke Care Quality. Riksstroke, the Swedish Stroke Register.

https://arctichealth.org/en/permalink/ahliterature289563
Source
Neuroepidemiology. 2016; 46(4):229-34
Publication Type
Journal Article
Validation Studies
Date
2016
Author
Anna Söderholm
Birgitta Stegmayr
Eva-Lotta Glader
Kjell Asplund
Author Affiliation
Riksstroke, Medicine, Department of Public Health and Clinical Medicine, Umex00E5; University, Umex00E5;, Sweden.
Source
Neuroepidemiology. 2016; 46(4):229-34
Date
2016
Language
English
Publication Type
Journal Article
Validation Studies
Keywords
Benchmarking
Hospitals - standards - statistics & numerical data
Humans
Patient Discharge
Quality of Health Care - standards - statistics & numerical data
Registries
Stroke - epidemiology
Sweden
Abstract
Registers are increasingly used to monitor stroke care performance. Fair benchmarking requires sufficient data quality. We have validated acute care data in Riksstroke, the Swedish Stroke Register.
Completeness was assessed by comparisons with diagnoses at hospital discharge recorded in the compulsory National Patient Register and content validity by comparisons with (a) key variables identified by European stroke experts, and (b) items recorded in other European stroke care performance registers. Five test cases recorded by 67 hospitals were used to estimate inter-hospital reliability.
All 72 Swedish hospitals admitting acute stroke patients participated in Riksstroke. The register was estimated to cover at least 90% of acute stroke patients. It includes 18 of 22 quality indicators identified by international stroke experts and 14 of 15 indicators used by at least 2 stroke performance registers in other European countries. Inter-hospital reliability was high (=85%) in 77 of 81 Riksstroke items.
A nationwide stroke care register can be maintained with sufficient data quality to permit between-hospital performance benchmarking. Our experiences may serve as a model for other stroke registers while evaluating data quality.
PubMed ID
26975057 View in PubMed
Less detail

Validation of Hospital Performance Measures of Acute Stroke Care Quality. Riksstroke, the Swedish Stroke Register.

https://arctichealth.org/en/permalink/ahliterature289721
Source
Neuroepidemiology. 2016; 46(4):229-34
Publication Type
Journal Article
Validation Studies
Date
2016
Author
Anna Söderholm
Birgitta Stegmayr
Eva-Lotta Glader
Kjell Asplund
Author Affiliation
Riksstroke, Medicine, Department of Public Health and Clinical Medicine, Umex00E5; University, Umex00E5;, Sweden.
Source
Neuroepidemiology. 2016; 46(4):229-34
Date
2016
Language
English
Publication Type
Journal Article
Validation Studies
Keywords
Benchmarking
Hospitals - standards - statistics & numerical data
Humans
Patient Discharge
Quality of Health Care - standards - statistics & numerical data
Registries
Stroke - epidemiology
Sweden
Abstract
Registers are increasingly used to monitor stroke care performance. Fair benchmarking requires sufficient data quality. We have validated acute care data in Riksstroke, the Swedish Stroke Register.
Completeness was assessed by comparisons with diagnoses at hospital discharge recorded in the compulsory National Patient Register and content validity by comparisons with (a) key variables identified by European stroke experts, and (b) items recorded in other European stroke care performance registers. Five test cases recorded by 67 hospitals were used to estimate inter-hospital reliability.
All 72 Swedish hospitals admitting acute stroke patients participated in Riksstroke. The register was estimated to cover at least 90% of acute stroke patients. It includes 18 of 22 quality indicators identified by international stroke experts and 14 of 15 indicators used by at least 2 stroke performance registers in other European countries. Inter-hospital reliability was high (=85%) in 77 of 81 Riksstroke items.
A nationwide stroke care register can be maintained with sufficient data quality to permit between-hospital performance benchmarking. Our experiences may serve as a model for other stroke registers while evaluating data quality.
PubMed ID
26975057 View in PubMed
Less detail