In-the-wild data collection with digital apps and wearable devices: Insights from a longitudinal study on burnout with office and production workers - Scorecard - MDSpire
Advertisement
In-the-wild data collection with digital apps and wearable devices: Insights from a longitudinal study on burnout with office and production workers
Clinical Scorecard: Utilizing Digital Applications and Wearable Technology for Real-World Data Gathering: Findings from a Longitudinal Study on Burnout Among Office and Production Employees
At a Glance
Category
Detail
Condition
Burnout
Key Mechanisms
Wearable devices for physiological data collection and monitoring.
Target Population
Office and production employees.
Care Setting
Longitudinal observational studies.
Key Highlights
Wearable devices can capture longitudinal physiological data.
Adherence to data collection varies significantly across studies.
Factors influencing adherence include demographics and personality traits.
Guidelines for adherence measurement are lacking but are essential for study comparison.
Early dropout can compromise data quality in longitudinal studies.
Guideline-Based Recommendations
Diagnosis
Management
Monitoring & Follow-up
Risks
Low adherence and retention can hinder data collection and analysis.
Patient & Prescribing Data
Participants in longitudinal studies using wearable devices.
Understanding adherence factors can improve data collection outcomes.
Clinical Best Practices
Define and report adherence metrics clearly.
Consider demographic and personality factors in study design.
