Eye on Innovation
ecological momentary assessment
- Remote Perioperative Symptom Monitoring Through a Smartphone Is Feasible: Evidence from the Personalised Prediction of Persistent Postsurgical Pain (P5) Study.
- Psychometric properties and validity of a Mobile Patient Health Questionnaire-9 (MPHQ-9) for ecological momentary assessment in depressed adults.
- A longitudinal observational study with ecological momentary assessment and deep learning to predict non-prescribed opioid use, treatment retention, and medication nonadherence among persons receiving medication treatment for opioid use disorder.
- Real-Time Antecedents of Cannabis Use Among Young Adults: An Ecological Momentary Assessment Study.
- From Mood to Use: Using Ecological Momentary Assessments to Examine How Anhedonia and Depressed Mood Impact Cannabis Use in a Depressed Sample.
- Smartwatch Technology Could Help with Future Alcohol Interventions
- Feasibility and acceptability of using smartphone-based EMA to assess patterns of prescription opioid and medical cannabis use among individuals with chronic pain
- Predicting the Next-Day Perceived and Physiological Stress of Pregnant Women by Using Machine Learning and Explainability: Algorithm Development and Validation
- FOCUS mHealth Intervention for Veterans with Serious Mental Illness in an Outpatient Department of Veterans Affairs Setting: Feasibility, Acceptability, and Usability Study