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      Concept and study protocol of the process evaluation of a pragmatic randomized controlled trial to promote physical activity in outpatients with heterogeneous mental disorders—the ImPuls study

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          Abstract

          Background

          Evidence suggests that patients suffering from different mental disorders benefit from exercise programs combined with behavior change techniques. Based on this evidence, we have developed an exercise program (ImPuls) specifically designed to provide an additional treatment option in the outpatient mental health care system. The implementation of such complex programs into the outpatient context requires research that goes beyond the evaluation of effectiveness, and includes process evaluation. So far, process evaluation related to exercise interventions has rarely been conducted. As part of a current pragmatic randomized controlled trial evaluating ImPuls treatment effects, we are therefore carrying out comprehensive process evaluation according to the Medical Research Council (MRC) framework. The central aim of our process evaluation is to support the findings of the ongoing randomized controlled trial.

          Methods

          The process evaluation follows a mixed-methods approach. We collect quantitative data via online-questionnaires from patients, exercise therapists, referring healthcare professionals and managers of outpatient rehabilitative and medical care facilities before, during, and after the intervention. In addition, documentation data as well as data from the ImPuls smartphone application are collected. Quantitative data is complemented by qualitative interviews with exercise therapists as well as a focus-group interview with managers. Treatment fidelity will be assessed through the rating of video-recorded sessions. Quantitative data analysis includes descriptive as well as mediation and moderation analyses. Qualitative data will be analyzed via qualitative content analysis.

          Discussion

          The results of our process evaluation will complement the evaluation of effectiveness and cost-effectiveness and will, for example, provide important information about mechanisms of impact, structural prerequisites, or provider qualification that may support the decision-making process of health policy stakeholders. It might contribute to paving the way for exercise programs like ImPuls to be made successively available for patients with heterogeneous mental disorders in the German outpatient mental health care system.

          Trial registration

          The parent clinical study was registered in the German Clinical Trials Register (ID: DRKS00024152, registered 05/02/2021, https://drks.de/search/en/trial/DRKS00024152).

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s13063-023-07331-y.

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          Most cited references70

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          Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.

          Research electronic data capture (REDCap) is a novel workflow methodology and software solution designed for rapid development and deployment of electronic data capture tools to support clinical and translational research. We present: (1) a brief description of the REDCap metadata-driven software toolset; (2) detail concerning the capture and use of study-related metadata from scientific research teams; (3) measures of impact for REDCap; (4) details concerning a consortium network of domestic and international institutions collaborating on the project; and (5) strengths and limitations of the REDCap system. REDCap is currently supporting 286 translational research projects in a growing collaborative network including 27 active partner institutions.
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            The REDCap consortium: Building an international community of software platform partners

            The Research Electronic Data Capture (REDCap) data management platform was developed in 2004 to address an institutional need at Vanderbilt University, then shared with a limited number of adopting sites beginning in 2006. Given bi-directional benefit in early sharing experiments, we created a broader consortium sharing and support model for any academic, non-profit, or government partner wishing to adopt the software. Our sharing framework and consortium-based support model have evolved over time along with the size of the consortium (currently more than 3200 REDCap partners across 128 countries). While the "REDCap Consortium" model represents only one example of how to build and disseminate a software platform, lessons learned from our approach may assist other research institutions seeking to build and disseminate innovative technologies.
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              Developing and evaluating complex interventions: the new Medical Research Council guidance

              Evaluating complex interventions is complicated. The Medical Research Council's evaluation framework (2000) brought welcome clarity to the task. Now the council has updated its guidance
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                Author and article information

                Contributors
                David-victor.fiedler@uni-tuebingen.de
                Journal
                Trials
                Trials
                Trials
                BioMed Central (London )
                1745-6215
                15 May 2023
                15 May 2023
                2023
                : 24
                : 330
                Affiliations
                [1 ]GRID grid.10392.39, ISNI 0000 0001 2190 1447, Faculty of Economics and Social Sciences, Institute of Sports Science, Department of Education & Health Research, , University of Tübingen, ; Tübingen, Germany
                [2 ]GRID grid.10392.39, ISNI 0000 0001 2190 1447, Faculty of Science, Psychological Institute, Department of Clinical Psychology and Psychotherapy, , University of Tübingen, ; Tübingen, Germany
                [3 ]GRID grid.10392.39, ISNI 0000 0001 2190 1447, Medical Faculty, Institute of Medical Psychology and Behavioral Neurobiology, , University of Tübingen, ; Tübingen, Germany
                [4 ]GRID grid.5252.0, ISNI 0000 0004 1936 973X, Department of Psychology, Clinical Psychology and Psychotherapy, , LMU Munich, ; Munich, Germany
                [5 ]GRID grid.6936.a, ISNI 0000000123222966, Chair of Health Economics, Technical University Munich (TUM), ; Munich, Germany
                [6 ]German Association for health-related Fitness and Exercise Therapy (German: DVGS), Hürth-Efferen, Germany
                [7 ]GRID grid.491710.a, ISNI 0000 0001 0339 5982, AOK Baden-Württemberg, ; Stuttgart, Germany
                [8 ]GRID grid.492243.a, ISNI 0000 0004 0483 0044, Techniker Krankenkasse, ; Hamburg, Germany
                Author information
                http://orcid.org/0000-0003-2261-8234
                Article
                7331
                10.1186/s13063-023-07331-y
                10186678
                37189210
                e4815135-3724-46eb-bc18-4e7b5e413abc
                © The Author(s) 2023

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.

                History
                : 27 May 2022
                : 28 April 2023
                Funding
                Funded by: Innovationsausschuss Gemeinsamer Bundesausschuss (DE)
                Award ID: 01NVF19022
                Award Recipient :
                Funded by: Eberhard Karls Universität Tübingen (1020)
                Categories
                Study Protocol
                Custom metadata
                © BioMed Central Ltd., part of Springer Nature 2023

                Medicine
                implementation research,group-based exercise intervention,behavior change techniques,mrc framework,outpatient care,mental disorders

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