Evidence Levels for Persuasive Software Features in Digital Health Interventions: Insights from a Scoping Review Regarding T2DM
Savian Colvero de Oliveira, Renata; Oinas-Kukkonen, Harri (2024-10-24)
Association for Information Systems
24.10.2024
de Oliveira, Renata S C and Oinas-Kukkonen, Harri, "Evidence Levels for Persuasive Software Features in Digital Health Interventions: Insights from a Scoping Review Regarding T2DM" (2024). ICIS 2024 Proceedings. 15. https://aisel.aisnet.org/icis2024/ishealthcare/ishealthcare/15
https://rightsstatements.org/vocab/InC/1.0/
© Association for Information Systems
https://rightsstatements.org/vocab/InC/1.0/
© Association for Information Systems
https://rightsstatements.org/vocab/InC/1.0/
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:oulu-202412037034
https://urn.fi/URN:NBN:fi:oulu-202412037034
Tiivistelmä
Abstract
Behavior change support systems, a subtype of persuasive systems, are pivotal in health promotion efforts, focusing on behavior modification, and especially vital in addressing chronic non-communicable diseases, such as Type 2 Diabetes Mellitus (T2DM). This study aimed to construct a logical framework for assessing the levels of evidence associated with Persuasive Systems Design (PSD) features in T2DM applications. Through a scoping review of 24 studies, 17 PSD features were identified and categorized into five levels of evidence (A-E). Self-monitoring, personalization, reduction, reminders, rewards, praise, authority, and expertise were found to possess level A evidence, suggesting a greater level of strength in terms of evidence. Our findings offer valuable insights for developers and users, providing a basis for developing guidelines in the field of persuasive technology. Establishing evidence-based standards is crucial to advancing this area and ensuring the realistic design of persuasive software features in health applications.
Behavior change support systems, a subtype of persuasive systems, are pivotal in health promotion efforts, focusing on behavior modification, and especially vital in addressing chronic non-communicable diseases, such as Type 2 Diabetes Mellitus (T2DM). This study aimed to construct a logical framework for assessing the levels of evidence associated with Persuasive Systems Design (PSD) features in T2DM applications. Through a scoping review of 24 studies, 17 PSD features were identified and categorized into five levels of evidence (A-E). Self-monitoring, personalization, reduction, reminders, rewards, praise, authority, and expertise were found to possess level A evidence, suggesting a greater level of strength in terms of evidence. Our findings offer valuable insights for developers and users, providing a basis for developing guidelines in the field of persuasive technology. Establishing evidence-based standards is crucial to advancing this area and ensuring the realistic design of persuasive software features in health applications.
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