ArticleJournal of diabetes science and technology2023
Analysis of Healthy Coping Feedback Messages from Diabetes Mobile Apps: Validation Against an Evidence-Based Framework.
Article in Journal of diabetes science and technology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- User experiences and perceptions on the use of digital health technologies in the management of type 2 diabetes: an integrative systematic review.Frontiers in clinical diabetes and healthcare · 2026Pooled it
- Key Features of Engagement Strategies in Nutrition Apps for Adults: Scoping Review.JMIR mHealth and uHealth · 2026Article
- Best Practices for Developing a Diabetes mHealth App.Journal of diabetes science and technology · 2024Article
- Article
- Transforming AADE7 for Use in an Evaluation Framework for Health Information Technology in Diabetes Mellitus.Journal of diabetes science and technology · 2022Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
backgroundIn this study, we focused on Healthy Coping, a key principle of ADCES7 Self-Care Behaviors
methodsWe searched apps using the search terms: "diabetes," "blood sugar," "glucose," and "mood" from iTunes and Google Play stores. We entered a range of values on 3 Healthy Coping domains: (1) diabetes-related measures including blood glucose, blood pressure, HbA1c, weight, (2) physical exercise/activity, and (3) mood to generate feedback messages. We used a framework by adopting validated behavioral change theory-based models to evaluate the feedback messages against 3 dimensions of timing, intention, and content (feedback purpose and feedback response). The feedback purposes in this study were categorized into 7 purposes; warning, suggestion, self-monitoring, acknowledging, reinforcement, goal setting, and behavior contract.
resultsWe identified 1,749 apps from which 156 diabetes mobile apps were eligible and generated 473 feedback messages. The majority of generated feedback messages were related to blood sugar measurement. Only feedback messages on blood sugar under diabetes-related measures and mood domains encompassed all 7 feedback purposes under the content dimension.
conclusionsMany feedback messages neither supported Healthy Coping domains nor followed the behavioral theory-based framework. It is important that feedback messages be structured around the dimensions of the behavioral theory-based framework to promote behavior change. Furthermore, our framework had the generalizability that can be used in other clinical areas.
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Registered trials
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