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      Developing quality fidelity and engagement measures for complex health interventions

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          Abstract

          Objectives

          To understand whether interventions are effective, we need to know whether the interventions are delivered as planned (with fidelity) and engaged with. To measure fidelity and engagement effectively, high‐quality measures are needed. We outline a five‐step method which can be used to develop quality measures of fidelity and engagement for complex health interventions. We provide examples from a fidelity study conducted within an evaluation of an intervention aimed to increase independence in dementia.

          Methods

          We propose five steps that can be systematically used to develop fidelity checklists for researchers, providers, and participants to measure fidelity and engagement. These steps include the following: (1) reviewing previous measures, (2) analysing intervention components and developing a framework outlining the content of the intervention, (3) developing fidelity checklists and coding guidelines, (4) obtaining feedback about the content and wording of checklists and guidelines, and (5) piloting and refining checklists and coding guidelines to assess and improve reliability.

          Results

          Three fidelity checklists that can be used reliably were developed to measure fidelity of and engagement with, the Promoting Independence in Dementia (PRIDE) intervention. As these measures were designed to be used by researchers, providers, and participants, we developed two versions of the checklists: one for participants and one for researchers and providers.

          Conclusions

          The five steps that we propose can be used to develop psychometrically robust and implementable measures of fidelity and engagement for complex health interventions that can be used by different target audiences. By considering quality when developing measures, we can be more confident in the interpretation of intervention outcomes drawn from fidelity and engagement studies.

          Statement of contribution

          What is already known on the subject?

          • Fidelity and engagement can be measured using a range of methods, such as observation and self‐report.

          • Studies seldom report psychometric and implementation qualities of fidelity measures.

          What does this study add?

          • A method for developing fidelity and engagement measures for complex health interventions.

          • Guidance on how to consider quality when developing fidelity and engagement measures.

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          Most cited references40

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          The Measurement of Observer Agreement for Categorical Data

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            The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: building an international consensus for the reporting of behavior change interventions.

            CONSORT guidelines call for precise reporting of behavior change interventions: we need rigorous methods of characterizing active content of interventions with precision and specificity. The objective of this study is to develop an extensive, consensually agreed hierarchically structured taxonomy of techniques [behavior change techniques (BCTs)] used in behavior change interventions. In a Delphi-type exercise, 14 experts rated labels and definitions of 124 BCTs from six published classification systems. Another 18 experts grouped BCTs according to similarity of active ingredients in an open-sort task. Inter-rater agreement amongst six researchers coding 85 intervention descriptions by BCTs was assessed. This resulted in 93 BCTs clustered into 16 groups. Of the 26 BCTs occurring at least five times, 23 had adjusted kappas of 0.60 or above. "BCT taxonomy v1," an extensive taxonomy of 93 consensually agreed, distinct BCTs, offers a step change as a method for specifying interventions, but we anticipate further development and evaluation based on international, interdisciplinary consensus.
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              Process evaluation of complex interventions: Medical Research Council guidance

              Process evaluation is an essential part of designing and testing complex interventions. New MRC guidance provides a framework for conducting and reporting process evaluation studies
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                Author and article information

                Contributors
                holly.walton@ucl.ac.uk
                Journal
                Br J Health Psychol
                Br J Health Psychol
                10.1111/(ISSN)2044-8287
                BJHP
                British Journal of Health Psychology
                John Wiley and Sons Inc. (Hoboken )
                1359-107X
                2044-8287
                06 November 2019
                February 2020
                : 25
                : 1 ( doiID: 10.1111/bjhp.v25.1 )
                : 39-60
                Affiliations
                [ 1 ] Department of Applied Health Research University College London UK
                [ 2 ] Department of Clinical, Educational and Health Psychology University College London UK
                [ 3 ] School of Social Sciences University of Westminster London UK
                [ 4 ] Department of Behavioural Science and Health University College London UK
                Author notes
                [*] [* ]Correspondence should be addressed to Holly Walton, Department of Applied Health Research, University College London, 1‐19 Torrington Place, London WC1E 7HB, UK (email: holly.walton@ 123456ucl.ac.uk ).
                Author information
                https://orcid.org/0000-0002-8746-059X
                Article
                BJHP12394
                10.1111/bjhp.12394
                7004004
                31693797
                b113bf09-8b89-47f4-9d10-4c91af15f154
                © 2019 The Authors. British Journal of Health Psychology published by John Wiley & Sons Ltd on behalf of British Psychological Society

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 20 May 2019
                : 04 October 2019
                Page count
                Figures: 2, Tables: 3, Pages: 22, Words: 9307
                Funding
                Funded by: Economic and Social Research Council (ESRC) Doctoral Training Centre , open-funder-registry 10.13039/501100000269;
                Award ID: ES/J500185/1
                Categories
                Original Article
                Original Articles
                Custom metadata
                2.0
                February 2020
                Converter:WILEY_ML3GV2_TO_JATSPMC version:5.7.5 mode:remove_FC converted:06.02.2020

                complex health intervention,dementia,engagement,fidelity of delivery,implementation,measures,psychometric,quality

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