Behavior Change Apps for Gestational Diabetes Management: Exploring Desirable Features

Autor: Giulio Jacucci, Saila B. Koivusalo, Mikko Kytö, Lisbeth Strömberg, Heli Tuomonen, Antti Ruonala
Přispěvatelé: Department of Computer Science, Department of Obstetrics and Gynecology, Clinicum, Ubiquitous Interaction research group / Giulio Jacucci, Helsinki Institute for Information Technology
Rok vydání: 2021
Předmět:
Zdroj: International Journal of Human–Computer Interaction. 38:1095-1112
ISSN: 1532-7590
1044-7318
Popis: Publisher Copyright: © 2021 The Author(s). Published with license by Taylor & Francis Group, LLC. Gestational diabetes mellitus (GDM) has considerable and increasing health effects as it raises both the mother’s and offspring’s risk for short- and long-term health problems. GDM can usually be treated with a healthier lifestyle, such as appropriate dietary modifications and engaging insufficient physical activity. While telemedicine interventions requiring weekly or more frequent feedback from health care professionals have shown the potential to improve glycemic control amongst women with GDM, apps without extensive input from health care professionals are limited and have not shown to be effective. We aimed to improve the efficacy of GDM self-management apps by exploring desirable features in a review. We derived six desirable features from the multidisciplinary literature and we evaluated the state of implementation of these features in existing GDM apps. The results showed that features for increasing competence to manage GDM and for providing social support were largely lacking.
Databáze: OpenAIRE