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However, by limiting the number of reviews per app (by following an approach reported by Stawarz et al [28]) and focusing on reviews that explicitly mention features and functionality, we were able to reduce these biases.
Finally, our focus on user reviews allowed us to explore a wide range of apps and gather user experience data that would otherwise be difficult to access.
JMIR Diabetes 2025;10:e62926
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We acknowledge that the data cannot be generalized, but the sample size is typical for an in-depth formative study (see, for example, Stawarz et al [51,52]) and is sufficient to identify key design considerations [53] and provide a further understanding of the complexities and social and economic context of home-based ULR.
JMIR Rehabil Assist Technol 2024;11:e54699
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Stawarz et al also argue that the responsibility in this area must extend beyond the research and regulatory bodies, with responsibility also resting with those who distribute technology, for example, app store owners [44].
The survey was advertised on social media and via posters on a university campus in the United Kingdom, which is likely to have attracted younger, more tech-savvy respondents.
JMIR Ment Health 2019;6(7):e12546
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To identify reviews for the analysis, we followed the approach similar to the one used in the study by Stawarz et al [43]—first, the lead author manually assessed all reviews, recording their sentiment (positive, negative, neutral) and whether each mentioned at least 1 therapeutic feature; this was then discussed with other authors. Next, to qualitatively identify underlying themes, we used thematic analysis [52] to analyze the subset of reviews that mentioned at least 1 therapeutic feature.
J Med Internet Res 2018;20(6):e10120
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Can Standards and Regulations Keep Up With Health Technology?
JMIR Mhealth Uhealth 2015;3(2):e64
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