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An updated protocol for a systematic review of implementation-related measures

BACKGROUND: Implementation science is the study of strategies used to integrate evidence-based practices into real-world settings (Eccles and Mittman, Implement Sci. 1(1):1, 2006). Central to the identification of replicable, feasible, and effective implementation strategies is the ability to assess...

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Autores principales: Lewis, Cara C., Mettert, Kayne D., Dorsey, Caitlin N., Martinez, Ruben G., Weiner, Bryan J., Nolen, Elspeth, Stanick, Cameo, Halko, Heather, Powell, Byron J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5918558/
https://www.ncbi.nlm.nih.gov/pubmed/29695295
http://dx.doi.org/10.1186/s13643-018-0728-3
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author Lewis, Cara C.
Mettert, Kayne D.
Dorsey, Caitlin N.
Martinez, Ruben G.
Weiner, Bryan J.
Nolen, Elspeth
Stanick, Cameo
Halko, Heather
Powell, Byron J.
author_facet Lewis, Cara C.
Mettert, Kayne D.
Dorsey, Caitlin N.
Martinez, Ruben G.
Weiner, Bryan J.
Nolen, Elspeth
Stanick, Cameo
Halko, Heather
Powell, Byron J.
author_sort Lewis, Cara C.
collection PubMed
description BACKGROUND: Implementation science is the study of strategies used to integrate evidence-based practices into real-world settings (Eccles and Mittman, Implement Sci. 1(1):1, 2006). Central to the identification of replicable, feasible, and effective implementation strategies is the ability to assess the impact of contextual constructs and intervention characteristics that may influence implementation, but several measurement issues make this work quite difficult. For instance, it is unclear which constructs have no measures and which measures have any evidence of psychometric properties like reliability and validity. As part of a larger set of studies to advance implementation science measurement (Lewis et al., Implement Sci. 10:102, 2015), we will complete systematic reviews of measures that map onto the Consolidated Framework for Implementation Research (Damschroder et al., Implement Sci. 4:50, 2009) and the Implementation Outcomes Framework (Proctor et al., Adm Policy Ment Health. 38(2):65-76, 2011), the protocol for which is described in this manuscript. METHODS: Our primary databases will be PubMed and Embase. Our search strings will be comprised of five levels: (1) the outcome or construct term; (2) terms for measure; (3) terms for evidence-based practice; (4) terms for implementation; and (5) terms for mental health. Two trained research specialists will independently review all titles and abstracts followed by full-text review for inclusion. The research specialists will then conduct measure-forward searches using the “cited by” function to identify all published empirical studies using each measure. The measure and associated publications will be compiled in a packet for data extraction. Data relevant to our Psychometric and Pragmatic Evidence Rating Scale (PAPERS) will be independently extracted and then rated using a worst score counts methodology reflecting “poor” to “excellent” evidence. DISCUSSION: We will build a centralized, accessible, searchable repository through which researchers, practitioners, and other stakeholders can identify psychometrically and pragmatically strong measures of implementation contexts, processes, and outcomes. By facilitating the employment of psychometrically and pragmatically strong measures identified through this systematic review, the repository would enhance the cumulativeness, reproducibility, and applicability of research findings in the rapidly growing field of implementation science. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13643-018-0728-3) contains supplementary material, which is available to authorized users.
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spelling pubmed-59185582018-04-30 An updated protocol for a systematic review of implementation-related measures Lewis, Cara C. Mettert, Kayne D. Dorsey, Caitlin N. Martinez, Ruben G. Weiner, Bryan J. Nolen, Elspeth Stanick, Cameo Halko, Heather Powell, Byron J. Syst Rev Protocol BACKGROUND: Implementation science is the study of strategies used to integrate evidence-based practices into real-world settings (Eccles and Mittman, Implement Sci. 1(1):1, 2006). Central to the identification of replicable, feasible, and effective implementation strategies is the ability to assess the impact of contextual constructs and intervention characteristics that may influence implementation, but several measurement issues make this work quite difficult. For instance, it is unclear which constructs have no measures and which measures have any evidence of psychometric properties like reliability and validity. As part of a larger set of studies to advance implementation science measurement (Lewis et al., Implement Sci. 10:102, 2015), we will complete systematic reviews of measures that map onto the Consolidated Framework for Implementation Research (Damschroder et al., Implement Sci. 4:50, 2009) and the Implementation Outcomes Framework (Proctor et al., Adm Policy Ment Health. 38(2):65-76, 2011), the protocol for which is described in this manuscript. METHODS: Our primary databases will be PubMed and Embase. Our search strings will be comprised of five levels: (1) the outcome or construct term; (2) terms for measure; (3) terms for evidence-based practice; (4) terms for implementation; and (5) terms for mental health. Two trained research specialists will independently review all titles and abstracts followed by full-text review for inclusion. The research specialists will then conduct measure-forward searches using the “cited by” function to identify all published empirical studies using each measure. The measure and associated publications will be compiled in a packet for data extraction. Data relevant to our Psychometric and Pragmatic Evidence Rating Scale (PAPERS) will be independently extracted and then rated using a worst score counts methodology reflecting “poor” to “excellent” evidence. DISCUSSION: We will build a centralized, accessible, searchable repository through which researchers, practitioners, and other stakeholders can identify psychometrically and pragmatically strong measures of implementation contexts, processes, and outcomes. By facilitating the employment of psychometrically and pragmatically strong measures identified through this systematic review, the repository would enhance the cumulativeness, reproducibility, and applicability of research findings in the rapidly growing field of implementation science. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13643-018-0728-3) contains supplementary material, which is available to authorized users. BioMed Central 2018-04-25 /pmc/articles/PMC5918558/ /pubmed/29695295 http://dx.doi.org/10.1186/s13643-018-0728-3 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Protocol
Lewis, Cara C.
Mettert, Kayne D.
Dorsey, Caitlin N.
Martinez, Ruben G.
Weiner, Bryan J.
Nolen, Elspeth
Stanick, Cameo
Halko, Heather
Powell, Byron J.
An updated protocol for a systematic review of implementation-related measures
title An updated protocol for a systematic review of implementation-related measures
title_full An updated protocol for a systematic review of implementation-related measures
title_fullStr An updated protocol for a systematic review of implementation-related measures
title_full_unstemmed An updated protocol for a systematic review of implementation-related measures
title_short An updated protocol for a systematic review of implementation-related measures
title_sort updated protocol for a systematic review of implementation-related measures
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5918558/
https://www.ncbi.nlm.nih.gov/pubmed/29695295
http://dx.doi.org/10.1186/s13643-018-0728-3
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