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      Promoting social, emotional, and cognitive development in early childhood: A protocol for early valuation of a culturally adapted digital tool for supporting optimal childrearing practices

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          Abstract

          Objective

          The Thrive by Five app promotes positive interactions between children and parents, extended family, and trusted community members that support optimal socio-emotional and cognitive development in the early years. This article aims to describe the protocol for a prospective mixed-methods multi-site study evaluating Thrive by Five using surveys, interviews, workshops, audio diaries from citizen ethnographers and app usage data.

          Methods

          The study activities and timelines differ by site, with an extensive longitudinal evaluation being conducted at two sites and a basic evaluation being conducted at five sites. The learnings from the more comprehensive evaluations inform the iterative research and development processes while also ensuring ongoing evaluation of usability, acceptability and effectiveness of the app and its content across varying contexts. The study evaluates: (1) the impact of the Thrive by Five content on caregiver knowledge, behaviours, attitudes and confidence; (2) how the content changes relationships at the familial, community and system level; (3) how cultural and contextual factors influence content engagement and effectiveness and (4) the processes that facilitate or disrupt the success of the implementation and dissemination.

          Results

          All in-country partners have been identified and data collection has been completed in Indonesia, Malaysia, Afghanistan, Kyrgyzstan, Uzbekistan, Namibia and Cameroon.

          Conclusions

          Very few digital health solutions have been trialled for usability and effectiveness in diverse cultural contexts. By combining quantitative, qualitative, process and ethnographic methodologies, this innovative study informs the iterative and ongoing optimisation of the cultural and contextual sensitivity of the Thrive by Five content and the processes supporting implementation and dissemination.

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          Most cited references76

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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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            G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences

            G*Power (Erdfelder, Faul, & Buchner, 1996) was designed as a general stand-alone power analysis program for statistical tests commonly used in social and behavioral research. G*Power 3 is a major extension of, and improvement over, the previous versions. It runs on widely used computer platforms (i.e., Windows XP, Windows Vista, and Mac OS X 10.4) and covers many different statistical tests of the t, F, and chi2 test families. In addition, it includes power analyses for z tests and some exact tests. G*Power 3 provides improved effect size calculators and graphic options, supports both distribution-based and design-based input modes, and offers all types of power analyses in which users might be interested. Like its predecessors, G*Power 3 is free.
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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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                Author and article information

                Journal
                Digit Health
                Digit Health
                DHJ
                spdhj
                Digital Health
                SAGE Publications (Sage UK: London, England )
                2055-2076
                7 April 2024
                Jan-Dec 2024
                : 10
                : 20552076241242559
                Affiliations
                [1 ]Brain and Mind Centre, Ringgold 4334, universityThe University of Sydney; , Sydney, Australia
                [2 ]The Australian Prevention Partnership Centre, Sydney, Australia
                [3 ]Faculty of Arts and Social Sciences, Ringgold 4334, universityThe University of Sydney; , Sydney, Australia
                Author notes
                [*]Haley M LaMonica, Brain and Mind Centre, The University of Sydney, 88 Mallett Street, Camperdown, Sydney, NSW 2050, Australia. Email: haley.lamonica@ 123456sydney.edu.au
                Author information
                https://orcid.org/0000-0002-6563-5467
                https://orcid.org/0000-0003-4094-9619
                Article
                10.1177_20552076241242559
                10.1177/20552076241242559
                11003334
                38596404
                b3e20e4d-daf8-422f-a3a1-a198505dc94a
                © The Author(s) 2024

                This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License ( https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work 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
                : 8 May 2023
                : 12 March 2024
                Funding
                Funded by: Minderoo Foundation, FundRef https://doi.org/10.13039/501100016056;
                Categories
                Original Research Article
                Custom metadata
                ts19
                January-December 2024

                early child development,digital technology,evaluation,global health,participatory research,qualitative research,mobile app,smartphone

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