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An update on ICES’ Applied Health Research Question (AHRQ) program: Informing public health policy and practice using linked, population-based administrative health data in a collaborative model.

Authors :
Diana An
Minnie Ho
J. Michael Paterson
Refik Saskin
Luke Mondor
Clare Atzema
Lesley Plumptre
Jeruby Retnakanthan
Dina Skvirsky
Charles Victor
Susan E. Bronskill
Source :
International Journal of Population Data Science, Vol 9, Iss 5 (2024)
Publication Year :
2024
Publisher :
Swansea University, 2024.

Abstract

Objective To provide an update on the key characteristics, refinements to project flow, and future opportunities for a program providing customized research evidence to health system policymakers and providers. Approach With a goal to inform health system decision making, the program answers research questions posed by health system requestors that can be answered with linked, population-based administrative data. Now in its 10th year of operation, the program has been refined over time to improve efficiency, usefulness of research products, and requestor satisfaction. Satisfaction surveys and individual-level engagements with requestors are used to collect feedback on the needs of an increasingly diverse group of requests. Results With 508 requests, 82 Data Sharing Agreements, and 257 unique requestors since its inception, the program informs governmental decision making, evaluates intervention effectiveness, and aids grassroots organizations’ planning for services. Notable updates to the program include, inserting multiple opportunities for connection between the program and requestors through the project life cycle to understand goals and needs; assigning staff scientists to shepherd projects and promote efficiency; training coordinators to review privacy impact assessments; and (soon) accepting a broader range of projects to include data beyond the health sector e.g. education. Conclusion This program continues to improve and is an exemplar of sustainable approaches to supporting health system requestors with evidence from administrative data in program evaluation, planning and policy change. Implications Being responsive to requestor needs has allowed the program to attract an increasingly diverse range of requesters who can obtain impactful and timely research evidence.

Details

Language :
English
ISSN :
23994908 and 34402950
Volume :
9
Issue :
5
Database :
Directory of Open Access Journals
Journal :
International Journal of Population Data Science
Publication Type :
Academic Journal
Accession number :
edsdoj.4037dd893be34402950be4f4a87f1e84
Document Type :
article
Full Text :
https://doi.org/10.23889/ijpds.v9i5.2855