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Quality of administrative health databases in Canada: A scoping review.
Hinds, Aynslie; Lix, Lisa M; Smith, Mark; Quan, Hude; Sanmartin, Claudia.
Afiliación
  • Hinds A; Department of Community Health Sciences, University of Manitoba, S113-750 Bannatyne Avenue, Winnipeg, MB, R3E 0W3, Canada.
  • Lix LM; Department of Community Health Sciences, University of Manitoba, S113-750 Bannatyne Avenue, Winnipeg, MB, R3E 0W3, Canada. Lisa.Lix@umanitoba.ca.
  • Smith M; Manitoba Centre for Health Policy, University of Manitoba, Winnipeg, MB, Canada.
  • Quan H; Department of Community Health Sciences, University of Calgary, Calgary, AB, Canada.
  • Sanmartin C; StatsCan, Health Analysis Division, Ottawa, ON, Canada.
Can J Public Health ; 107(1): e56-e61, 2016 06 27.
Article en En | MEDLINE | ID: mdl-27348111
OBJECTIVE: Administrative health databases are increasingly used to conduct population-based health research and surveillance; this has resulted in a corresponding growth in studies about their quality. Our objective was to describe the characteristics of published Canadian studies about administrative health database quality. METHODS: PubMed, Scopus, and Google Advanced were searched, along with websites of relevant organizations. English-language studies that evaluated the quality of one or more Canadian administrative health databases between 2004 and 2014 were selected for inclusion. Extracted information included data quality concepts and measures, year and type of publication, type of database, and geographic origin. SYNTHESIS: More than 3,000 publications were identified fromthe search. Twelve reports and 144 peer-reviewed papers were included. The majority (53.5%) of peer-review publications used databases from Ontario and Alberta, while 67% of the non-peer-review publications used data from multiple provinces/ territories. Almost all peer-reviewed papers (97.2%) were validation studies. Hospital discharge abstracts and physician billing claims were the most frequently validated databases. Approximately half of the publications (53.0%) validated case definitions and 37.7% focused on a chronic physical health condition. CONCLUSION: Gaps in the Canadian administrative data quality literature include a limited number of studies evaluating data from the Maritimes and across multiple jurisdictions, newer data sources, validating methods for identifying individuals with mental illness, and assessing the completeness and serviceability of the data. Data quality studies can aid researchers to understand the strengths and limitations of the data.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Bases de Datos Factuales / Registros Electrónicos de Salud Tipo de estudio: Prognostic_studies / Systematic_reviews Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: Can J Public Health Año: 2016 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Bases de Datos Factuales / Registros Electrónicos de Salud Tipo de estudio: Prognostic_studies / Systematic_reviews Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: Can J Public Health Año: 2016 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Suiza