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Measures of fidelity of delivery and engagement in self-management interventions: A systematic review of measures

BACKGROUND/AIMS: Self-management interventions are increasingly being developed and researched to improve long-term condition outcomes. To understand and interpret findings, it is essential that fidelity of intervention delivery and participant engagement are measured and reported. Before developing...

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Autores principales: Rookes, Tasmin A, Schrag, Anette, Walters, Kate, Armstrong, Megan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9679554/
https://www.ncbi.nlm.nih.gov/pubmed/36017707
http://dx.doi.org/10.1177/17407745221118555
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author Rookes, Tasmin A
Schrag, Anette
Walters, Kate
Armstrong, Megan
author_facet Rookes, Tasmin A
Schrag, Anette
Walters, Kate
Armstrong, Megan
author_sort Rookes, Tasmin A
collection PubMed
description BACKGROUND/AIMS: Self-management interventions are increasingly being developed and researched to improve long-term condition outcomes. To understand and interpret findings, it is essential that fidelity of intervention delivery and participant engagement are measured and reported. Before developing fidelity checklists to assess treatment fidelity of interventions, current recommendations suggest that a synthesis of fidelity measures reported in the literature is completed. Therefore, here we aim to identify what the current measures of fidelity of intervention delivery and engagement for self-management interventions for long-term conditions are and whether there is treatment fidelity. METHODS: Four databases (MEDLINE, PubMed, CINAHL Plus and ScienceDirect) and the journal implementation science were systematically searched to identify published reports from inception to December 2020 for experimental studies measuring fidelity of intervention delivery and/or participant engagement in self-management interventions for long-term conditions. Data on fidelity of delivery and engagement measures and the findings were extracted and synthesised. RESULTS: Thirty-nine articles were identified as eligible, with 25 studies measuring fidelity of delivery, 19 reporting engagement and 5 measuring both. For fidelity of delivery, measures included structured checklists, participant completed measures and researcher observations/notes. These were completed by researchers, participants and intervention leaders. Often there was little information around the development of these measures, particularly when the measure had been developed by the researchers, rather than building on others work. Eighteen of 25 studies reported there was fidelity of intervention delivery. For engagement, measures included data analytics, participant completed measures and researcher observations. Ten out of 19 studies reported participants were engaged with the intervention. CONCLUSION: In complex self-management interventions, it is essential to assess whether treatment fidelity of each core component of interventions is delivered, as outlined in the protocol, to understand which components are having an effect. Treatment fidelity checklists comparing what was planned to be delivered, with what was delivered should be developed with pre-defined cut-offs for when fidelity has been achieved. Similarly, when measuring engagement, while data analytics continue to rise with the increase in digital interventions, clear cut-offs for participant use and content engaged with to be considered an engagement participant need to be pre-determined.
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spelling pubmed-96795542022-11-23 Measures of fidelity of delivery and engagement in self-management interventions: A systematic review of measures Rookes, Tasmin A Schrag, Anette Walters, Kate Armstrong, Megan Clin Trials Reviews BACKGROUND/AIMS: Self-management interventions are increasingly being developed and researched to improve long-term condition outcomes. To understand and interpret findings, it is essential that fidelity of intervention delivery and participant engagement are measured and reported. Before developing fidelity checklists to assess treatment fidelity of interventions, current recommendations suggest that a synthesis of fidelity measures reported in the literature is completed. Therefore, here we aim to identify what the current measures of fidelity of intervention delivery and engagement for self-management interventions for long-term conditions are and whether there is treatment fidelity. METHODS: Four databases (MEDLINE, PubMed, CINAHL Plus and ScienceDirect) and the journal implementation science were systematically searched to identify published reports from inception to December 2020 for experimental studies measuring fidelity of intervention delivery and/or participant engagement in self-management interventions for long-term conditions. Data on fidelity of delivery and engagement measures and the findings were extracted and synthesised. RESULTS: Thirty-nine articles were identified as eligible, with 25 studies measuring fidelity of delivery, 19 reporting engagement and 5 measuring both. For fidelity of delivery, measures included structured checklists, participant completed measures and researcher observations/notes. These were completed by researchers, participants and intervention leaders. Often there was little information around the development of these measures, particularly when the measure had been developed by the researchers, rather than building on others work. Eighteen of 25 studies reported there was fidelity of intervention delivery. For engagement, measures included data analytics, participant completed measures and researcher observations. Ten out of 19 studies reported participants were engaged with the intervention. CONCLUSION: In complex self-management interventions, it is essential to assess whether treatment fidelity of each core component of interventions is delivered, as outlined in the protocol, to understand which components are having an effect. Treatment fidelity checklists comparing what was planned to be delivered, with what was delivered should be developed with pre-defined cut-offs for when fidelity has been achieved. Similarly, when measuring engagement, while data analytics continue to rise with the increase in digital interventions, clear cut-offs for participant use and content engaged with to be considered an engagement participant need to be pre-determined. SAGE Publications 2022-08-26 2022-12 /pmc/articles/PMC9679554/ /pubmed/36017707 http://dx.doi.org/10.1177/17407745221118555 Text en © The Author(s), 2022 https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Reviews
Rookes, Tasmin A
Schrag, Anette
Walters, Kate
Armstrong, Megan
Measures of fidelity of delivery and engagement in self-management interventions: A systematic review of measures
title Measures of fidelity of delivery and engagement in self-management interventions: A systematic review of measures
title_full Measures of fidelity of delivery and engagement in self-management interventions: A systematic review of measures
title_fullStr Measures of fidelity of delivery and engagement in self-management interventions: A systematic review of measures
title_full_unstemmed Measures of fidelity of delivery and engagement in self-management interventions: A systematic review of measures
title_short Measures of fidelity of delivery and engagement in self-management interventions: A systematic review of measures
title_sort measures of fidelity of delivery and engagement in self-management interventions: a systematic review of measures
topic Reviews
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9679554/
https://www.ncbi.nlm.nih.gov/pubmed/36017707
http://dx.doi.org/10.1177/17407745221118555
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