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Grant: Project Grant

Queen's University (Kingston, Ontario)

$673,200.00

Development of a validated method to identify patients with chronic pain in electronic medical records and administrative health data to advance clinical research and patient care

EF 2020-21

Résumé
One in five Canadians lives with chronic pain, which is pain that is persistent or recurring for three or more months. Caring for patients with chronic pain costs more than cardiovascular disease, cancer or diabetes. The recent opioid crisis has highlighted a need to improve the care of people with chronic pain; chronic pain is now being recognized as a public health crisis and comprehensive, population-based strategies are being developed to improve the care these patients need. Two sources of data, electronic medical records (EMR) and administrative health data, provide opportunities to facilitate improvements for chronic pain sufferers in Canada. An EMR is essentially a digital version of the traditional, paper-based medical record for a patient and these data, particularly from primary care, provide rich insight into a patient's health. Administrative health data captures all visits to the healthcare system that are covered by publicly funded health insurance (i.e. the Ontario Health Insurance Program [OHIP]). Currently there is no reliable method to identify chronic pain patients in these types of data. To date, research has relied on patient self-report of pain. We will develop accurate methods to identify patients with chronic pain in both primary care EMR data and administrative health data. We know that chronic pain affects men and women differently, so we will ensure that the methods we develop work equally well to identify pain in both men and women. Using these methods, we will study the healthcare needs of patients with chronic pain. This project will provide valuable information about the burden of chronic pain and help to inform an evolving national pain strategy. The development of valid methods to identify chronic pain in EHR and administrative health data has implications for clinical research, patient care and health policy.
Programme
Project Grant
Emplacement
Ontario, Canada
Type
Grant
Source
CIHR Funding Decisions Database

Tel que publié

Id
433156
Name
Green Michael E
Region
Ontario
Country
Canada
Orgtype
Institution Paid; Research Institution
Instname2
Health Services and Policy Research
Theme2
Clinical
Prcname2
Health Services Evaluation & Interventions Research
Projecttitle
Development of a validated method to identify patients with chronic pain in electronic medical records and administrative health data to advance clinical research and patient care
Programtype2
Operating Grants
Orgnameinp2
Queen's University (Kingston, Ontario)
Cihramount2
$673,200
Cihrequipment2
$0
Programname2
Project Grant
Keyworddelim
Administrative Health Data; Case Definition; Chronic Pain; Electronic Health Record
Abstract
One in five Canadians lives with chronic pain, which is pain that is persistent or recurring for three or more months. Caring for patients with chronic pain costs more than cardiovascular disease, cancer or diabetes. The recent opioid crisis has highlighted a need to improve the care of people with chronic pain; chronic pain is now being recognized as a public health crisis and comprehensive, population-based strategies are being developed to improve the care these patients need. Two sources of data, electronic medical records (EMR) and administrative health data, provide opportunities to facilitate improvements for chronic pain sufferers in Canada. An EMR is essentially a digital version of the traditional, paper-based medical record for a patient and these data, particularly from primary care, provide rich insight into a patient's health. Administrative health data captures all visits to the healthcare system that are covered by publicly funded health insurance (i.e. the Ontario Health Insurance Program [OHIP]). Currently there is no reliable method to identify chronic pain patients in these types of data. To date, research has relied on patient self-report of pain. We will develop accurate methods to identify patients with chronic pain in both primary care EMR data and administrative health data. We know that chronic pain affects men and women differently, so we will ensure that the methods we develop work equally well to identify pain in both men and women. Using these methods, we will study the healthcare needs of patients with chronic pain. This project will provide valuable information about the burden of chronic pain and help to inform an evolving national pain strategy. The development of valid methods to identify chronic pain in EHR and administrative health data has implications for clinical research, patient care and health policy.
Competitiondate
202010
Approvedterm2
4 yrs 0 mth
Pinamesdelim
Green, Michael E; Gilron, Ian
Approvedterm
4 ans 0 mois
Cihrcontribution2
~ $673,200~ $0~