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mHealth learning strategies to support behaviour change in individuals using wheelchairs and/or scooters: a systematic review

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NIAID Data Ecosystem2026-05-02 收录
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https://figshare.com/articles/dataset/mHealth_learning_strategies_to_support_behaviour_change_in_individuals_using_wheelchairs_and_or_scooters_a_systematic_review/26862299
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The purpose of this systematic review of the literature is to build understanding of the key elements and recommendations for the design of mHealth technology for individuals using wheelchairs and/or scooters and identify key features associated with the use of mHealth to support healthy behaviour changes for this population. Eight major electronic databases were systematically searched to identify mobile health (mHealth) interventions, which targeted adult WC/S users. Independent reviewers used Endnote and Covidence to manage articles meeting review criteria and to exclude duplicates. A quality assessment was conducted on each included article. Nine articles describing studies with diverse study designs met criteria to be included in this review. Several interactive application intervention features, such as participant collaboration and goal setting, and key technical features to support mHealth app development and utilisation were identified. Results found intuitive and simple designs of mHealth apps, with the ability to customise to support learning styles and preferences, support usability and acceptability by participants. More research is needed to evaluate best practices to support initial training of end-users, mHealth apps’ ability to support long-term behaviour change and maintenance, and the understanding of active ingredients in complex interventions that include mHealth apps. Both interactive mHealth application intervention and technical features support healthy behaviour change among individuals using wheelchairs and scooters. Utilizing evidence to develop mHealth applications (apps) support best practices, participant satisfaction, and usability. mHealth apps are feasible to support health behavior change for wheelchair and/or scooter users, with considerations for customization to support diverse learning preferences and needs. Active learning strategies (e.g., goal setting, self-assessment, collaborative learning), within or in conjunction with the app, support behavior change. Utilizing evidence to develop mHealth applications (apps) support best practices, participant satisfaction, and usability. mHealth apps are feasible to support health behavior change for wheelchair and/or scooter users, with considerations for customization to support diverse learning preferences and needs. Active learning strategies (e.g., goal setting, self-assessment, collaborative learning), within or in conjunction with the app, support behavior change.
创建时间:
2024-08-28
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