Objective:

To explore the feasibility of using wearable devices for the detection of burnout among office and production employees and to assess adherence to data collection in longitudinal studies.

Approach:

• Data Collection: The study utilized wearable devices to gather longitudinal physiological data, combined with external information sources.
• Adherence Measurement: The study examined various definitions and metrics of adherence to wearable data collection across different studies.
• Influencing Factors: The research analyzed socio-demographic characteristics and their relationship with adherence to data collection.

Key Findings:

• Adherence to wearable data collection varies significantly across studies, with reported adherence rates ranging from 16% to 95%.
• Definitions of adherence are inconsistent, complicating comparisons across studies.
• Factors such as age, prior experience with wearable devices, and personality traits influence adherence rates.

Interpretation:

Adherence metrics and influencing factors are important for data collection in longitudinal studies using wearable technology.

Limitations:

• Variability in adherence definitions limits the ability to compare results across studies focused on burnout.
• The study may not account for all socio-demographic factors influencing adherence in the context of burnout.

Conclusion:

Understanding adherence definitions and participant characteristics can enhance the quality of data collected through wearable devices.

Sources:

• Study on Wearable Device Adherence