Title |
Operationalizing the RE-AIM framework to evaluate the impact of multi-sector partnerships
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Published in |
Implementation Science, June 2014
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DOI | 10.1186/1748-5908-9-74 |
Pubmed ID | |
Authors |
Shane N Sweet, Kathleen A Martin Ginis, Paul A Estabrooks, Amy E Latimer-Cheung |
Abstract |
The RE-AIM (Reach, Effectiveness, Adoption, Implementation, and Maintenance) framework is a reliable tool for the translation of research to practice. This framework has been widely applied to assess the impact of individual interventions. However, RE-AIM has rarely been used to evaluate implementation interventions, especially from multi-sector partnerships. The primary purpose of this paper is to operationalize the RE-AIM approach to evaluate large, multi-sector partnerships. SCI Action Canada, a community-university partnership aimed to promote physical activity among adults with spinal cord injury, is used as an example. A secondary purpose is to provide initial data from SCI Action Canada by using this conceptualization of RE-AIM. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Canada | 3 | 50% |
Unknown | 3 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 50% |
Science communicators (journalists, bloggers, editors) | 2 | 33% |
Scientists | 1 | 17% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | <1% |
New Zealand | 1 | <1% |
Netherlands | 1 | <1% |
Canada | 1 | <1% |
Unknown | 205 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 41 | 20% |
Student > Master | 33 | 16% |
Student > Ph. D. Student | 24 | 11% |
Other | 13 | 6% |
Student > Doctoral Student | 13 | 6% |
Other | 42 | 20% |
Unknown | 44 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 41 | 20% |
Nursing and Health Professions | 35 | 17% |
Social Sciences | 25 | 12% |
Psychology | 14 | 7% |
Agricultural and Biological Sciences | 8 | 4% |
Other | 30 | 14% |
Unknown | 57 | 27% |