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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; (2022) Measures of fidelity of delivery and engagement in self-management interventions: A systematic review of measures. Clinical Trials 10.1177/17407745221118555. (In press). Green open access

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Abstract

BACKGROUND: 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.

Type: Article
Title: Measures of fidelity of delivery and engagement in self-management interventions: A systematic review of measures
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.1177/17407745221118555
Publisher version: https://doi.org/10.1177%2F17407745221118555
Language: English
Additional information: © 2022 by The Society for Clinical Trials. This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/).
Keywords: Self-management, fidelity, engagement, intervention delivery
UCL classification: UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology > Clinical and Movement Neurosciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Brain Sciences > UCL Queen Square Institute of Neurology
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health > Primary Care and Population Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health
URI: https://discovery.ucl.ac.uk/id/eprint/10155320
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