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Grant: Operating Grant

Sunnybrook Research Institute (Toronto, Ontario)

$122,994.00

Statistical methods for health services research

EF 2010-11

Résumé
The proposed research will address three important areas in health research. First, we will improve the statistical methods that are used for comparing outcomes of medical care between different hospitals. We will develop methods that allow comparison of hospital performance to be designed so as to minimize the costs incurred by health care providers and consumers due to the possible misclassification of health care provider performance. We will also develop statistical methods for comparing hospital performance on multiple indicators of quality of care simultaneously. This will allow hospital administrators and physicians to improve the quality of care provided at individual hospitals. Furthermore, it will allow physicians, patients, and administrators to determine if hospitals that perform well on one indicator also tend to perform well on other indicators of quality of care. Second, we will improve the statistical methods available for determining the effects of treatments and interventions on health outcomes. These provide important evidence for resource allocation and for the protection of the public. Third, we will improve the statistical methods that are used for predicting outcomes and prognosis for patients. Predicting prognosis allows for the development of clinical decision rules, and provides clinicians and patients with important evidence on prognosis, thus facilitating evidence-based decision-making about patient care.
Programme
Operating Grant
Emplacement
Ontario, Canada
Type
Grant
Source
CIHR Funding Decisions Database

Tel que publié

Id
209924
Name
Austin Peter C
Region
Ontario
Country
Canada
Orgtype
Research Institution; Institution Paid
Instname2
Health Services and Policy Research
Theme2
Health systems / services
Prcname2
Health Services Evaluation & Interventions Research
Projecttitle
Statistical methods for health services research
Programtype2
Operating Grants
Orgnameinp2
Sunnybrook Research Institute (Toronto, Ontario)
Cihramount2
$122,994
Cihrequipment2
$0
Programname2
Operating Grant
Keyworddelim
Large Database Analyses; Monte Carlo Simulations; Predictive Models; Propensity Score Methods; Provider Profiling; Statistical Methods
Abstract
The proposed research will address three important areas in health research. First, we will improve the statistical methods that are used for comparing outcomes of medical care between different hospitals. We will develop methods that allow comparison of hospital performance to be designed so as to minimize the costs incurred by health care providers and consumers due to the possible misclassification of health care provider performance. We will also develop statistical methods for comparing hospital performance on multiple indicators of quality of care simultaneously. This will allow hospital administrators and physicians to improve the quality of care provided at individual hospitals. Furthermore, it will allow physicians, patients, and administrators to determine if hospitals that perform well on one indicator also tend to perform well on other indicators of quality of care. Second, we will improve the statistical methods available for determining the effects of treatments and interventions on health outcomes. These provide important evidence for resource allocation and for the protection of the public. Third, we will improve the statistical methods that are used for predicting outcomes and prognosis for patients. Predicting prognosis allows for the development of clinical decision rules, and provides clinicians and patients with important evidence on prognosis, thus facilitating evidence-based decision-making about patient care.
Competitiondate
201009
Approvedterm2
3 yrs 0 mth
Pinamesdelim
Austin, Peter C
Approvedterm
3 ans 0 mois
Cihrcontribution2
~ $122,994~ $0~