Previously submitted to: JMIR mHealth and uHealth (no longer under consideration since Sep 12, 2022)
Date Submitted: Nov 20, 2020
Open Peer Review Period: Nov 20, 2020 - Jan 15, 2021
(closed for review but you can still tweet)
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Stuttering mHealth Applications: A Qualitative Rubric Assessment
ABSTRACT
Background:
Mobile applications (apps) that offer a variety of techniques to improve stuttering have been flourishing in the digital marketplace. In evidence-based clinical practice, speech therapists will recommend audio-enriched mobile apps to individuals with stuttering problems based on empirical research evidence. Unfortunately, many stuttering mobile apps available in the market are developed without a substantial research base. Hence, speech therapists necessitate a guideline which they could use to assess the quality of a stuttering mobile app before recommending the app to stutterers.
Objective:
The objective of this study is to develop a rubric for assessing the quality of the stuttering mobile app in assisting speech therapists to make informed recommendations
Methods:
The rubric was initially developed based on a set of criteria reviewed from the literature. Online surveys and focused group discussion were then conducted for results verification.
Results:
The outcome of this study is a rubric designed with four categories and 18-evaluative dimensions tailored to analyze the quality of stuttering mobile apps. The stuttering mobile app assessment rubric presented in the serve multiple purposes, including an evaluation instrument, providing guidelines for developing stuttering mobile apps and for creating a standard form that can be shared with professionals to facilitate a collective effort.
Conclusions:
This rubric also offers a guidance to steer drive the future development of stuttering mobile apps that are evidence-based, and theoretically grounded
Citation
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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.