Objective Measurement of Physician Stress in the Emergency Department Using a Wearable Sensor
Department of Emergency Medicine, Division of Medical Toxicology
Analytical, Diagnostic and Therapeutic Techniques and Equipment | Emergency Medicine | Psychiatry and Psychology
Physician stress, and resultant consequences such as burnout, have become increasingly recognized pervasive problems, particularly within the specialty of Emergency Medicine. Stress is difficult to measure objectively, and research predominantly relies on self-reported measures. The present study aims to characterize digital biomarkers of stress as detected by a wearable sensor among Emergency Medicine physicians. Physiologic data were continuously collected using a wearable sensor during clinical work in the emergency department, and participants were asked to self-identify episodes of stress. Machine learning algorithms were used to classify self-reported episodes of stress. Comparing baseline sensor data to data in the 20-minute period preceding self-reported stress episodes demonstrated the highest prediction accuracy for stress. With further study, detection of stress via wearable sensors could be used to facilitate evidence-based stress research and just-in-time interventions for emergency physicians and other high-stress professionals.
emergency medicine, physician stress, burnout, wearable sensor
Kaczor EE, Carreiro S, Stapp J, Chapman B, Indic P. Objective Measurement of Physician Stress in the Emergency Department Using a Wearable Sensor. Proc Annu Hawaii Int Conf Syst Sci. 2020;2020:3729-3738. Epub 2020 Jan 7. PMID: 32015695; PMCID: PMC6996921.
Proceedings of the ... Annual Hawaii International Conference on System Sciences. Annual Hawaii International Conference on System Sciences
Kaczor EE, Carreiro SP, Stapp J, Chapman BP, Indic P. (2020). Objective Measurement of Physician Stress in the Emergency Department Using a Wearable Sensor. Open Access Publications by UMMS Authors. Retrieved from https://escholarship.umassmed.edu/oapubs/4142