Predicting Participant Compliance With Fitness Tracker Wearing and Ecological Momentary Assessment Protocols in Information Workers: Observational Study.
Gonzalo J MartinezStephen M MattinglyPablo Robles-GrandaKoustuv SahaAnusha SirigiriJessica YoungNitesh V ChawlaMunmun De ChoudhurySidney K D'MelloGloria MarkAaron StriegelPublished in: JMIR mHealth and uHealth (2021)
We recommend conducting an initial 2-week pilot to measure trait-like compliance and identify participants at risk of long-term noncompliance, performing oversampling based on participants' individual characteristics to avoid introducing bias in the sample when excluding data based on noncompliance, using an issue tracking portal, and providing special care in troubleshooting to help participants maintain compliance.
Keyphrases
- healthcare
- health information
- physical activity
- body composition
- climate change
- genome wide
- electronic health record
- study protocol
- palliative care
- big data
- human health
- dna methylation
- machine learning
- gene expression
- clinical trial
- risk assessment
- chronic pain
- quality improvement
- pain management
- placebo controlled
- deep learning