The purpose of this study is to determine whether use of a suite of smart phone enabled mobile health devices can reduce burnout in medical trainees. Such applications can then be used in more general populations with the same goal in mind.
Wearable sensors and mental health platforms delivered via smartphones offer an opportunity to passively and actively acquire quantifiable signs and symptoms related to mental health status. These features include both physiological and cognitive performance measures. Collectively they serve as a set of metrics whereby an estimation of a person's mental state can be gauged. Additionally, use of these platforms allows those who are identified as high risk for mental illness to have targeted therapy delivered via their smartphone and if necessary connected with a suitable healthcare provider. Applications of such technology platforms serve to potentially reduce the substantial morbidity and mortality in a population at increased risk for mental illness and burnout.
Study Type
OBSERVATIONAL
Enrollment
40
Scripps Health
San Diego, California, United States
The primary endpoint is change in Maslach Burnout Inventory (MBI) over a 16 week period as measured at time points Week 0 (Baseline), 4, 10, 16.
Maslach Burnout Inventory
Time frame: Week 0 (Baseline), 4, 10, 16
Change in PHQ9 Score - (Raw score - No units) as measured at time points Week 0 (Baseline), 4, 10, 16.
Change in PHQ9 Score over 3 months.
Time frame: Week 0 (Baseline), 4, 10, 16
Relationship of absolute PHQ9 Score at weeks 4, 10 & 16 to a series of biometrics as described below:
Average, following measurement of score: total time (Hours \& Minutes) slept/night for week % sleep score (to Oura Ring App) per night for week min. overnight lowest heart rate (Beats per minute) per night for week Total time of per night for week: deep sleep (Hours \& Minutes) light sleep (Hours \& Minutes) REM sleep (Hours \& Minutes) waking (Hours \& Minutes) sleep latency (Hours \& Minutes) % readiness score (% Measure native to Oura Ring App) Daily number of minutes of: focus (measured by Spire App) for week tension (measured by Spire App) for week calm (measured by Spire App) for week activity (measured by Spire App) for week inactivity (measured by Spire App) for week daily calories burned (measured by Spire App) for week Weekly # of (measured by the Beyond Verbal App): positive mood recordings negative mood recordings neutral mood recordings weekly arousal, temper, and valance score
Time frame: Weeks 4, 10 & 16
Relationship of MBI score - 3 sub scales at weeks 4, 10 & 16 to a series of biometrics as described below:
Average, following measurement of score: total time (Hours \& Minutes) slept/night for week % sleep score (to Oura Ring App) per night for week min. overnight lowest heart rate (Beats per minute) per night for week Total time of per night for week: deep sleep (Hours \& Minutes) light sleep (Hours \& Minutes) REM sleep (Hours \& Minutes) waking (Hours \& Minutes) sleep latency (Hours \& Minutes) % readiness score (% Measure native to Oura Ring App) Daily number of minutes of: focus (measured by Spire App) for week tension (measured by Spire App) for week calm (measured by Spire App) for week activity (measured by Spire App) for week inactivity (measured by Spire App) for week daily calories burned (measured by Spire App) for week Weekly # of (measured by the Beyond Verbal App): positive mood recordings negative mood recordings neutral mood recordings weekly arousal, temper, and valance score
This platform is for informational purposes only and does not constitute medical advice. Always consult a qualified healthcare professional.
Time frame: Weeks 4, 10 & 16