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Grant: CIHR Fellowship

University of British Columbia

$165,000.00

Improving the early identification of knee osteoarthritis with electronic medical record data in Canadian primary care

EF 2019-20

Résumé
Osteoarthritis is a painful joint disease that affects over 6 million Canadians. The knee joint is one of the most commonly affected joints. Knee osteoarthritis (KOA) starts with mild joint pain and stiffness that worsens to extreme pain often requiring surgery if left untreated. Being able to identify people with KOA in primary care at an early stage would help promote best-practice treatment. Yet, primary care clinicians report many barriers to identifying and treating KOA. This study will target this gap by using electronic medical records (EMR) from primary care clinicians who participate in the Canadian Primary Care Sentinel Surveillance Network to identify patients with KOA at an earlier stage. Next, a pan-Canadian KOA registry will be set up to learn about risk factors and health indicators of KOA. Lastly, an online KOA dashboard will be pilot tested in a small group of primary care clinicians. This dashboard will combine the EMR data with patient reported outcome data on pain, symptoms, physical activity, and quality of life to improve the treatment of their KOA patients.
Programme
CIHR Fellowship
Emplacement
British Columbia, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
CIHR Funding Decisions Database

Tel que publié

Id
412512
Name
Ezzat Allison M
Region
British Columbia
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Musculoskeletal Health and Arthritis
Theme2
Clinical
Prcname2
Allied Health Professionals - Fellowships
Projecttitle
Improving the early identification of knee osteoarthritis with electronic medical record data in Canadian primary care
Programtype2
Fellowship Programs
Orgnameinp2
University of British Columbia
Cihramount2
$165,000
Cihrequipment2
$0
Programname2
CIHR Fellowship
Keyworddelim
Electronic Medical Records; Epidemiology; Knee Osteoarthritis; Knowledge Translation; Patient Reported Outcome Measures; Primary Care
Abstract
Osteoarthritis is a painful joint disease that affects over 6 million Canadians. The knee joint is one of the most commonly affected joints. Knee osteoarthritis (KOA) starts with mild joint pain and stiffness that worsens to extreme pain often requiring surgery if left untreated. Being able to identify people with KOA in primary care at an early stage would help promote best-practice treatment. Yet, primary care clinicians report many barriers to identifying and treating KOA. This study will target this gap by using electronic medical records (EMR) from primary care clinicians who participate in the Canadian Primary Care Sentinel Surveillance Network to identify patients with KOA at an earlier stage. Next, a pan-Canadian KOA registry will be set up to learn about risk factors and health indicators of KOA. Lastly, an online KOA dashboard will be pilot tested in a small group of primary care clinicians. This dashboard will combine the EMR data with patient reported outcome data on pain, symptoms, physical activity, and quality of life to improve the treatment of their KOA patients.
Competitiondate
201910
Approvedterm2
3 yrs 0 mth
Pinamesdelim
Ezzat, Allison M
Approvedterm
3 ans 0 mois
Cihrcontribution2
~ $165,000~ $0~