App Engagement as a Predictor of Weight Loss in Blended-Care Interventions: Retrospective Observational Study Using Large-Scale Real-World Data.
Marco LehmannLucy JonesFelix SchirmannPublished in: Journal of medical Internet research (2024)
Early app engagement is a predictor of weight loss, with higher engagement yielding more weight loss than lower engagement in this analysis. This new predictor lends itself to automated monitoring and as a digital indicator for needed or adapted clinical action. Further research needs to establish the reliability of early app engagement as a predictor for treatment adherence and outcomes. In general, the obtained results testify to the potential of app-derived data to inform clinical monitoring practices and intervention design.
Keyphrases
- weight loss
- social media
- bariatric surgery
- roux en y gastric bypass
- healthcare
- gastric bypass
- randomized controlled trial
- glycemic control
- primary care
- machine learning
- electronic health record
- palliative care
- physical activity
- type diabetes
- deep learning
- big data
- high throughput
- quality improvement
- metabolic syndrome
- body mass index
- weight gain
- pain management
- obese patients
- adipose tissue
- data analysis
- single cell