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Development and application of the RE-AIM QuEST mixed methods framework for program evaluation

To increase the likelihood of successful implementation of interventions and promote dissemination across real-world settings, it is essential to evaluate outcomes related to dimensions other than Effectiveness alone. Glasgow and colleagues' RE-AIM framework specifies four additional types of o...

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Autores principales: Forman, Jane, Heisler, Michele, Damschroder, Laura J., Kaselitz, Elizabeth, Kerr, Eve A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5402634/
https://www.ncbi.nlm.nih.gov/pubmed/28451518
http://dx.doi.org/10.1016/j.pmedr.2017.04.002
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author Forman, Jane
Heisler, Michele
Damschroder, Laura J.
Kaselitz, Elizabeth
Kerr, Eve A.
author_facet Forman, Jane
Heisler, Michele
Damschroder, Laura J.
Kaselitz, Elizabeth
Kerr, Eve A.
author_sort Forman, Jane
collection PubMed
description To increase the likelihood of successful implementation of interventions and promote dissemination across real-world settings, it is essential to evaluate outcomes related to dimensions other than Effectiveness alone. Glasgow and colleagues' RE-AIM framework specifies four additional types of outcomes that are important to decision-makers: Reach, Adoption, Implementation (including cost), and Maintenance. To further strengthen RE-AIM, we propose integrating qualitative assessments in an expanded framework: RE-AIM Qualitative Evaluation for Systematic Translation (RE-AIM QuEST), a mixed methods framework. RE-AIM QuEST guides formative evaluation to identify real-time implementation barriers and explain how implementation context may influence translation to additional settings. RE-AIM QuEST was used to evaluate a pharmacist-led hypertension management intervention at 3 VA facilities in 2008–2009. We systematically reviewed each of the five RE-AIM dimensions and created open-ended companion questions to quantitative measures and identified qualitative and quantitative data sources, measures, and analyses. To illustrate use of the RE-AIM QuEST framework, we provide examples of real-time, coordinated use of quantitative process measures and qualitative methods to identify site-specific issues, and retrospective use of these data sources and analyses to understand variation across sites and explain outcomes. For example, in the Reach dimension, we conducted real-time measurement of enrollment across sites and used qualitative data to better understand and address barriers at a low-enrollment site. The RE-AIM QuEST framework may be a useful tool for improving interventions in real-time, for understanding retrospectively why an intervention did or did not work, and for enhancing its sustainability and translation to other settings.
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spelling pubmed-54026342017-04-27 Development and application of the RE-AIM QuEST mixed methods framework for program evaluation Forman, Jane Heisler, Michele Damschroder, Laura J. Kaselitz, Elizabeth Kerr, Eve A. Prev Med Rep Regular Article To increase the likelihood of successful implementation of interventions and promote dissemination across real-world settings, it is essential to evaluate outcomes related to dimensions other than Effectiveness alone. Glasgow and colleagues' RE-AIM framework specifies four additional types of outcomes that are important to decision-makers: Reach, Adoption, Implementation (including cost), and Maintenance. To further strengthen RE-AIM, we propose integrating qualitative assessments in an expanded framework: RE-AIM Qualitative Evaluation for Systematic Translation (RE-AIM QuEST), a mixed methods framework. RE-AIM QuEST guides formative evaluation to identify real-time implementation barriers and explain how implementation context may influence translation to additional settings. RE-AIM QuEST was used to evaluate a pharmacist-led hypertension management intervention at 3 VA facilities in 2008–2009. We systematically reviewed each of the five RE-AIM dimensions and created open-ended companion questions to quantitative measures and identified qualitative and quantitative data sources, measures, and analyses. To illustrate use of the RE-AIM QuEST framework, we provide examples of real-time, coordinated use of quantitative process measures and qualitative methods to identify site-specific issues, and retrospective use of these data sources and analyses to understand variation across sites and explain outcomes. For example, in the Reach dimension, we conducted real-time measurement of enrollment across sites and used qualitative data to better understand and address barriers at a low-enrollment site. The RE-AIM QuEST framework may be a useful tool for improving interventions in real-time, for understanding retrospectively why an intervention did or did not work, and for enhancing its sustainability and translation to other settings. Elsevier 2017-04-04 /pmc/articles/PMC5402634/ /pubmed/28451518 http://dx.doi.org/10.1016/j.pmedr.2017.04.002 Text en http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Regular Article
Forman, Jane
Heisler, Michele
Damschroder, Laura J.
Kaselitz, Elizabeth
Kerr, Eve A.
Development and application of the RE-AIM QuEST mixed methods framework for program evaluation
title Development and application of the RE-AIM QuEST mixed methods framework for program evaluation
title_full Development and application of the RE-AIM QuEST mixed methods framework for program evaluation
title_fullStr Development and application of the RE-AIM QuEST mixed methods framework for program evaluation
title_full_unstemmed Development and application of the RE-AIM QuEST mixed methods framework for program evaluation
title_short Development and application of the RE-AIM QuEST mixed methods framework for program evaluation
title_sort development and application of the re-aim quest mixed methods framework for program evaluation
topic Regular Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5402634/
https://www.ncbi.nlm.nih.gov/pubmed/28451518
http://dx.doi.org/10.1016/j.pmedr.2017.04.002
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