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      Effectiveness and experiences of the Extension for Community Healthcare Outcomes (ECHO) Model in developing competencies among healthcare professionals: a mixed methods systematic review protocol

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          Abstract

          Background

          The Extension for Community Healthcare Outcomes (ECHO) Model of continuing tele-education is an innovative guided-practice model aiming at amplifying healthcare professionals’ competencies in the management of chronic and complex health conditions. While data on the impact of the ECHO model is increasingly available in the literature, what influences the model effectiveness remains unclear. Therefore, the overarching aim of this systematic review is to identify, appraise, and synthesize the available quantitative (QUAN) and qualitative (QUAL) evidence regarding the ECHO Model effectiveness and the experiences/views of ECHO’s participants about what influences the development of competencies in healthcare professionals.

          Methods

          The proposed systematic review was inspired by the Joanna Briggs Institute (JBI) methodology for Mixed Methods Systematic Reviews (MMSR) and will follow a convergent segregated approach. A systematic search will be undertaken using QUAN, QUAL and mixed methods (MM) studies of ECHO-affiliated programs identified in six databases. A publication date filter will be applied to find the articles published from 2003 onwards. Sources of unpublished studies and gray literature will be searched as well. Retrieved citations will independently be screened by two reviewers. Disagreements will be resolved through discussion until a consensus is reached or by including a third reviewer. Studies meeting the predefined inclusion criteria will be assessed on methodological quality and the data will be extracted using standardized data extraction forms. Separate QUAN and QUAL synthesis will be performed, and findings will be integrated using a matrix approach for the purpose of comparison and complementarity.

          Discussion

          This MMSR will fulfill important gaps in the current literature on the ECHO Model as the first to provide estimates on its effectiveness and consider simultaneously the experiences/views of ECHO’s participants. As each replication of the ECHO Model greatly varies depending on the context, topic, and targeted professionals, a better understanding of what influences the model effectiveness in developing healthcare professionals’ competencies is crucial to inform future implementation.

          Systematic review registration

          PROSPERO CRD42020197579

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s13643-021-01832-0.

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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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            A power primer.

            One possible reason for the continued neglect of statistical power analysis in research in the behavioral sciences is the inaccessibility of or difficulty with the standard material. A convenient, although not comprehensive, presentation of required sample sizes is provided here. Effect-size indexes and conventional values for these are given for operationally defined small, medium, and large effects. The sample sizes necessary for .80 power to detect effects at these levels are tabled for eight standard statistical tests: (a) the difference between independent means, (b) the significance of a product-moment correlation, (c) the difference between independent rs, (d) the sign test, (e) the difference between independent proportions, (f) chi-square tests for goodness of fit and contingency tables, (g) one-way analysis of variance, and (h) the significance of a multiple or multiple partial correlation.
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              Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015: elaboration and explanation

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                Author and article information

                Contributors
                gabrielle.chicoine@umontreal.ca
                jose.cote@umontreal.ca
                jacinthe.pepin@umontreal.ca
                gfontaine@ohri.ca
                marc-andre.maheu-cadotte@umontreal.ca
                quan.nha.hong@mail.mcgill.ca
                genevieve.rouleau@wchospital.ca
                daniela.ziegler.chum@ssss.gouv.qc.ca
                didier.jutras-aswad@umontreal.ca
                Journal
                Syst Rev
                Syst Rev
                Systematic Reviews
                BioMed Central (London )
                2046-4053
                16 December 2021
                16 December 2021
                2021
                : 10
                : 313
                Affiliations
                [1 ]GRID grid.14848.31, ISNI 0000 0001 2292 3357, Faculty of Nursing, Université de Montréal, Pavillon Marguerite-d’Youville, ; C.P. 6128 succ. Centre-ville, Montreal, QC H3C 3J7 Canada
                [2 ]GRID grid.14848.31, ISNI 0000 0001 2292 3357, Université de Montréal Hospital Research Centre, ; Montreal, QC Canada
                [3 ]GRID grid.14848.31, ISNI 0000 0001 2292 3357, Research Chair in Innovative Nursing Practices, , Université de Montréal Hospital Research Centre, ; Montreal, QC Canada
                [4 ]GRID grid.14848.31, ISNI 0000 0001 2292 3357, FUTUR Team-FRQSC, Faculty of Nursing, , Université de Montréal, ; Montreal, QC Canada
                [5 ]GRID grid.412687.e, ISNI 0000 0000 9606 5108, Centre for Implementation Research, Psychology and Health Research Group, Clinical Epidemiology Program, , Ottawa Hospital Research Institute, ; Ottawa, ON Canada
                [6 ]GRID grid.482476.b, ISNI 0000 0000 8995 9090, Research Centre, , Montreal Heart Institute, ; Montreal, QC Canada
                [7 ]GRID grid.83440.3b, ISNI 0000000121901201, EPPI-Centre, UCL Social Research Institute, , University College London, ; London, England
                [8 ]GRID grid.417199.3, ISNI 0000 0004 0474 0188, Women’s College Hospital, ; Toronto, ON Canada
                [9 ]GRID grid.14848.31, ISNI 0000 0001 2292 3357, Faculty of Medicine, Department of Psychiatry and Addiction, , Université de Montréal, ; Montreal, QC Canada
                Author information
                http://orcid.org/0000-0003-3179-5806
                Article
                1832
                10.1186/s13643-021-01832-0
                8675457
                34911579
                7d98bafb-fabd-4681-b5c7-6fffa33e840f
                © The Author(s) 2021

                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
                : 29 October 2020
                : 10 October 2021
                Categories
                Protocol
                Custom metadata
                © The Author(s) 2021

                Public health
                project echo,telementoring,videoconferencing,continuing medical education,distance learning,virtual collaboration,virtual community,knowledge-sharing community

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