Grant: Catalyst Grant: eHealth Innovations
University of Manitoba
$92,153.00
A population based surveillance system for detection of high risk CKD
EF 2013-14
Résumé
Chronic kidney disease (CKD) is a major public health problem. The end stage of CKD can lead to kidney failure, which requires treatment with dialysis. Patients with CKD who require dialysis suffer from increased risks of infections, heart disease and have a poor quality of life. Early identification of patients at high risk of progression to kidney failure can lead to better treatments and may reduce the rates of dialysis. In order to identify high risk patients with CKD, we are proposing a surveillance system using the eCHART laboratory database in Manitoba. Our system will include all patients who have a blood or urine test in Manitoba, beginning 2010, and will identify patients with CKD. We will then examine the province for variations in quality of care, and use our risk prediction models to identify patients who are at high risk for kidney failure. Together, these initiatives will improve outcomes for patients with kidney disease.
Programme
Catalyst Grant: eHealth Innovations
Bénéficiaire
Emplacement
Manitoba, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
CIHR Funding Decisions Database
Tel que publié
Id
296583
Name
Tangri Navdeep
Region
Manitoba
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Nutrition, Metabolism and Diabetes
Theme2
Health systems / services
Prcname2
e-Health Innovation Partnership Program (eHIPP)
Projecttitle
A population based surveillance system for detection of high risk CKD
Programtype2
Operating Grants
Orgnameinp2
University of Manitoba
Cihramount2
$92,153
Cihrequipment2
$0
Programname2
Catalyst Grant: eHealth Innovations
Keyworddelim
Administrative Data; Chronic Kidney Disease; Disease Surveillance; Electronic Health Records; Risk Prediction
Abstract
Chronic kidney disease (CKD) is a major public health problem. The end stage of CKD can lead to kidney failure, which requires treatment with dialysis. Patients with CKD who require dialysis suffer from increased risks of infections, heart disease and have a poor quality of life. Early identification of patients at high risk of progression to kidney failure can lead to better treatments and may reduce the rates of dialysis. In order to identify high risk patients with CKD, we are proposing a surveillance system using the eCHART laboratory database in Manitoba. Our system will include all patients who have a blood or urine test in Manitoba, beginning 2010, and will identify patients with CKD. We will then examine the province for variations in quality of care, and use our risk prediction models to identify patients who are at high risk for kidney failure. Together, these initiatives will improve outcomes for patients with kidney disease.
Competitiondate
201310
Approvedterm2
1 yr 0 mth
Pinamesdelim
Tangri, Navdeep
Approvedterm
1 an 0 mois
Cihrcontribution2
~ $92,153~ $0~