Persuasive Systems Features in Digital Health Interventions for Diabetes Management: A Scoping Review
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN: 1611-3349, Vol: 14636 LNCS, Page: 89-99
2024
- 7Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Captures7
- Readers7
Conference Paper Description
Type 2 diabetes mellitus (T2DM) is a global health problem. Studies have shown that using mobile applications can help reduce the burden of this disease and contribute to its self-management. However, there is no full agreement on which persuasive features are most effective or have the greatest impact in promoting behavior change among these patients. Based on the Persuasive Systems Design (PSD), this study aimed to conduct a scoping review to investigate and identify essential PSD features in the context of T2DM. Excluding the duplicates, of the 638 records, 24 were selected and included. During our analysis, primary task support features self-monitoring (n = 22) and personalization (n = 11), computer-human dialog support feature known as reminders (n = 13), and credibility support expertise (n = 10) were found to be the most utilized in the studied applications. Other notable occurrences comprised credibility support feature authority (n = 7) and dialog support feature praise (n = 6). Eleven other less commonly utilized features were found.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85192204085&origin=inward; http://dx.doi.org/10.1007/978-3-031-58226-4_8; https://link.springer.com/10.1007/978-3-031-58226-4_8; https://dx.doi.org/10.1007/978-3-031-58226-4_8; https://link.springer.com/chapter/10.1007/978-3-031-58226-4_8
Springer Science and Business Media LLC
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