Grant: Travel Awards - Institute Community Support
University of Manitoba
$2,500.00
Modeling Diagnostic Validity Estimates from Administrative Health Data: Application to Rheumatoid Arthritis
EF 2015-16
Résumé
Canada is a world leader in the use and analysis of electronic administrative health databases, which contain records of healthcare contacts, to measure health and use of health services. These databases are often used to describe people with chronic conditions like rheumatoid arthritis. These databases are very powerful, because they comprehensively capture all health care use by individuals. However, these data are often of poor quality, which can affect the accuracy of healthcare measures. My research focuses on statistical models that can be used to describe the quality of the data. The aim of my research is to equip researchers with tools for choosing the best ways to measure chronic conditions in administrative data. I will be presenting my research at the International Health Data Linkage Network Conference in the United Kingdom; the Network is comprised of world leaders in the use of linked health databases to improve health.
Programme
Travel Awards - Institute Community Support
Bénéficiaire
Emplacement
Manitoba, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
CIHR Funding Decisions Database
Tel que publié
Id
346768
Name
Kroeker Kristine
Region
Manitoba
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Population and Public Health
Theme2
Social / Cultural / Environmental / Population Health
Prcname2
Institute of Population and Public Health - Travel Awards
Projecttitle
Modeling Diagnostic Validity Estimates from Administrative Health Data: Application to Rheumatoid Arthritis
Programtype2
Undefined
Orgnameinp2
University of Manitoba
Cihramount2
$2,500
Cihrequipment2
$0
Programname2
Travel Awards - Institute Community Support
Keyworddelim
Ics Travel Awards
Abstract
Canada is a world leader in the use and analysis of electronic administrative health databases, which contain records of healthcare contacts, to measure health and use of health services. These databases are often used to describe people with chronic conditions like rheumatoid arthritis. These databases are very powerful, because they comprehensively capture all health care use by individuals. However, these data are often of poor quality, which can affect the accuracy of healthcare measures. My research focuses on statistical models that can be used to describe the quality of the data. The aim of my research is to equip researchers with tools for choosing the best ways to measure chronic conditions in administrative data. I will be presenting my research at the International Health Data Linkage Network Conference in the United Kingdom; the Network is comprised of world leaders in the use of linked health databases to improve health.
Competitiondate
201601
Approvedterm2
1 yr 0 mth
Pinamesdelim
Kroeker, Kristine
Approvedterm
1 an 0 mois
Cihrcontribution2
Inst of Population &Publ Hlth~ $2,500~ $0~