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      Implementation of online psychosocial interventions for people with neurological conditions and their caregivers: A systematic review protocol

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          Abstract

          Background

          As the burden of neurological conditions increases globally, online psychosocial interventions offer a potentially scalable solution to enabling healthcare access. However, their successful development and implementation require research into electronic healthcare implementation specifically.

          Methods

          Using a search strategy combining the concepts of implementation, electronic healthcare, psychosocial interventions and neurological conditions, we will conduct comprehensive electronic searches for primary implementation evidence in MEDLINE, EMBASE, PsycINFO, CINAHL, Scopus, SpeechBITE and NeuroBITE databases. Included studies will be analysed according to the Non-adoption, Abandonment, Scale-Up, Spread, and Sustainability framework, appraised using the Mixed-Methods Appraisal Tool and evaluated for theoretical underpinning in implementation science, with hybrid studies of effectiveness-implementation research classified according to the type of hybrid design.

          Discussion

          This review will be the first to use a theoretical underpinning in the Non-adoption, Abandonment, Scale-Up, Spread, and Sustainability framework to evaluate strengths and gaps in existing implementation research into online psychosocial interventions for people with neurological conditions and/or their caregivers. The results may be useful to provide direction and recommendations for future clinical implementation and research into online psychosocial interventions for people with neurological conditions and/or their caregivers.

          Systematic review registration

          PROSPERO 2020: CRD42020186387.

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          Most cited references52

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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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            Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement

            Systematic reviews should build on a protocol that describes the rationale, hypothesis, and planned methods of the review; few reviews report whether a protocol exists. Detailed, well-described protocols can facilitate the understanding and appraisal of the review methods, as well as the detection of modifications to methods and selective reporting in completed reviews. We describe the development of a reporting guideline, the Preferred Reporting Items for Systematic reviews and Meta-Analyses for Protocols 2015 (PRISMA-P 2015). PRISMA-P consists of a 17-item checklist intended to facilitate the preparation and reporting of a robust protocol for the systematic review. Funders and those commissioning reviews might consider mandating the use of the checklist to facilitate the submission of relevant protocol information in funding applications. Similarly, peer reviewers and editors can use the guidance to gauge the completeness and transparency of a systematic review protocol submitted for publication in a journal or other medium.
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              The PRISMA 2020 statement: An updated guideline for reporting systematic reviews

              Matthew Page and co-authors describe PRISMA 2020, an updated reporting guideline for systematic reviews and meta-analyses.
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                Author and article information

                Journal
                Digit Health
                Digit Health
                DHJ
                spdhj
                Digital Health
                SAGE Publications (Sage UK: London, England )
                2055-2076
                6 September 2021
                Jan-Dec 2021
                : 7
                : 20552076211035988
                Affiliations
                [1 ]Graduate School of Health, Ringgold 1994, universityUniversity of Technology Sydney; , Australia
                [2 ]Faculty of Medicine and Health, Ringgold 4334, universityThe University of Sydney; , Australia
                Author notes
                [*]Melissa Miao, Graduate School of Health, University of Technology Sydney, PO Box 123, Broadway NSW 2007, Australia. Email: melissa.miao@ 123456uts.edu.au
                Author information
                https://orcid.org/0000-0002-4113-0149
                Article
                10.1177_20552076211035988
                10.1177/20552076211035988
                8456620
                34567610
                4c4c0b9a-a8f8-4dea-89f3-e20b130e16cf
                © The Author(s) 2021

                This article is distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 License ( https://creativecommons.org/licenses/by-nc-nd/4.0/) which permits non-commercial use, reproduction and distribution of the work as published without adaptation or alteration, 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).

                History
                : 2 November 2020
                : 11 July 2021
                Funding
                Funded by: National Health and Medical Research Council, FundRef https://doi.org/10.13039/501100000925;
                Award ID: 1191284
                Funded by: icare New South Wales (NSW) ;
                Award ID: icare Foundation Quality of Life Fund
                Funded by: Department of Education, Australian Governement, FundRef https://doi.org/10.13039/501100003521;
                Award ID: Research Training Program Scholarship
                Categories
                Research Protocol
                Custom metadata
                January-December 2021
                ts19

                implementation science,internet interventions,brain injuries,traumatic,delivery of health care,caregivers

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