Sammanfattning
Background
Gestational diabetes (GDM) has considerable and increasing health effects as it raises both the mother’s and the 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 sufficient physical activity. Although telemedicine interventions providing weekly or more frequent feedback from health care professionals have shown the potential to improve glycemic control among women with GDM, apps without extensive input from health care professionals are limited and have not been shown to be effective. Different features in personalization and support have been proposed to increase the efficacy of GDM apps, but the knowledge of how these features should be designed is lacking.
Objective
The aim of this study is to investigate how GDM apps should be designed, considering the desirable features based on the previous literature.
Methods
We designed an interactive GDM prototype app that provided example implementations of desirable features, such as providing automatic and personalized suggestions and social support through the app. Women with GDM explored the prototype and provided feedback in semistructured interviews.
Results
We identified that (1) self-tracking data in GDM apps should be extended with written feedback, (2) habits and goals should be highly customizable to be useful, (3) the app should have different functions to provide social support, and (4) health care professionals should be notified through the app if something unusual …
Gestational diabetes (GDM) has considerable and increasing health effects as it raises both the mother’s and the 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 sufficient physical activity. Although telemedicine interventions providing weekly or more frequent feedback from health care professionals have shown the potential to improve glycemic control among women with GDM, apps without extensive input from health care professionals are limited and have not been shown to be effective. Different features in personalization and support have been proposed to increase the efficacy of GDM apps, but the knowledge of how these features should be designed is lacking.
Objective
The aim of this study is to investigate how GDM apps should be designed, considering the desirable features based on the previous literature.
Methods
We designed an interactive GDM prototype app that provided example implementations of desirable features, such as providing automatic and personalized suggestions and social support through the app. Women with GDM explored the prototype and provided feedback in semistructured interviews.
Results
We identified that (1) self-tracking data in GDM apps should be extended with written feedback, (2) habits and goals should be highly customizable to be useful, (3) the app should have different functions to provide social support, and (4) health care professionals should be notified through the app if something unusual …
| Originalspråk | engelska |
|---|---|
| Tidskrift | JMIR human factors |
| Volym | 9 |
| Nummer | 4 |
| ISSN | 2292-9495 |
| DOI | |
| Status | Publicerad - 12 okt. 2022 |
| MoE-publikationstyp | A1 Tidskriftsartikel-refererad |
Vetenskapsgrenar
- 113 Data- och informationsvetenskap
- 3121 Allmänmedicin, inre medicin och annan klinisk medicin