Our Data, Our Question: Public-Centric Approaches to Administrative Data Analysis.

Journal: Healthcare quarterly (Toronto, Ont.)

Volume: 26

Issue: 4

Year of Publication: 2024

Affiliated Institutions:  An officer in Public Engagement and Knowledge Translation at ICES in Toronto, ON. A senior officer in Public Engagement and Knowledge Translation at ICES in Toronto, ON. A member of the ICES Public Advisory Council (PAC) in Scarborough, ON. Jerome is a customer service managerial whiz, a philanthropist, a detail-oriented colleague and a mentor of talent prospects. A member of the ICES PAC in Mississauga, ON. A member of the ICES PAC in London, ON. A member of the ICES PAC in Ajax, ON. A senior manager in Public Engagement and Knowledge Translation at ICES in Toronto, ON. A staff scientist in the Data and Analytic Services department at ICES in Toronto, ON. The interim chief science officer, a research program lead and core scientist at ICES and an assistant professor at the Institute of Health Policy, Management and Evaluation at the University of Toronto in Toronto, ON. The chief executive officer and a senior core scientist at ICES and a professor and clinician-scientist in the Department of Medicine at the University of Toronto in Toronto, ON.

Abstract summary 

There is growing recognition of the importance of patient, public and community engagement in health research, which has not been used widely in analyzing health administrative datasets. In Ontario, health data are stewarded by ICES, whose strategic decision making is guided by a diverse Public Advisory Council (PAC). In a first foray into publicly led projects, the ICES PAC undertook an analysis project on mental health and addiction health service use. Public members guided the project through all stages of research. This generated critical lessons for ICES on improving participation, collaboration and trust.

Authors & Co-authors:  Leong-Sit Yussuf-Homenauth Johnson Johnson Kirk Samuels Ferreira-Legere Campitelli Paterson Schull

Study Outcome 

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Statistics
Citations : 
Authors :  10
Identifiers
Doi : 10.12927/hcq.2024.27261
SSN : 1710-2774
Study Population
Male,Female
Mesh Terms
Humans
Other Terms
Study Design
Study Approach
Country of Study
Publication Country
Canada