ArticleJournal of medical Internet research2024
Wearable Technologies for Detecting Burnout and Well-Being in Health Care Professionals: Scoping Review.
Article in Journal of medical Internet research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
21 citing papers in PubMed.
- Multimodal Personalized Mobile Health Just-in-Time Adaptive Intervention for Occupational Stress Management: Pilot Study.JMIR mHealth and uHealth · 2026Trial
- Smartwatch Use and Physician Well-Being: A Randomized Clinical Trial.JAMA network open · 2025Trial
- Mapping Movement Behaviors and Mental Health Among Frontline Workers: Scoping Review.JMIR public health and surveillance · 2026Article
- Techno-Hypochondria: A Concept Analysis of Wearable Technology-Induced Health Anxiety Among Healthcare Professionals-Implications for Nursing Management.Healthcare (Basel, Switzerland) · 2026Article
- Examination of Relationships Between 24-Hour Movement Behaviors and Mental Health Outcomes in Frontline Workers: Protocol for a Scoping Review.JMIR research protocols · 2026Article
- Longitudinal trajectories of neurologic symptoms and cognitive associations at 36-months post-hospitalization for COVID-19.Frontiers in neurology · 2026Observational
- Passive AI Detection of Stress and Burnout Among Frontline Workers.Nursing reports (Pavia, Italy) · 2025Review
- Accuracy of Heart Rate Measurement Under Transient States: A Validation Study of Wearables for Real-Life Monitoring.Sensors (Basel, Switzerland) · 2025Article
- Wearables in Healthcare Organizations: Implications for Occupational Health, Organizational Performance, and Economic Outcomes.Healthcare (Basel, Switzerland) · 2025Review
- The Moderating Effect of Atypical Events on the Relationship Between Heart Rate and Stress in Medical Residents Working in an Intensive Care Unit: Longitudinal, Observational Daily Diary Study.JMIR formative research · 2025Observational
- The stressed heart: Validity evidence supporting mobile heart rate variability applications to detect psychological stress in healthcare learners.Medical education · 2025Article
- Advancing Mental Health Care: A Comprehensive Review of Digital Tools and Technologies for Enhancing Diagnosis, Treatment, and Wellness.Health care science · 2025Review
- Physician and Medical Student Burnout, a Narrative Literature Review: Challenges, Strategies, and a Call to Action.Journal of clinical medicine · 2025Review
- Participant-Centered Engagement for Sustained Adherence to Smartwatches: A 12-Month Prospective Decentralized Digital Health Study.Clinical and translational science · 2025Article
- Toward burnout prevention with Bayesian mixed-effects regression analysis of longitudinal data from wearables: a preliminary study.Frontiers in digital health · 2025Article
- Climbing the ladder: a ranking approach to burnout prediction.Frontiers in digital health · 2025Article
- Active role of participants in neuroempowerment training and supportive neurotechnologies: a theoretical-methodological perspective.Frontiers in psychology · 2025Article
- Real-time monitoring of military health and readiness: a perspective on future research.Frontiers in digital health · 2025Article
- An integrated neurophenomenological framework for naturalistic assessment of work-related stressors in healthcare professionals: a pilot study in neuro-surgery.Frontiers in psychology · 2025Article
- Mobile apps, AI, and teletherapy: a comprehensive review of digital mental health tools for nurses.Frontiers in public health · 2025Review
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
backgroundThe occupational burnout epidemic is a growing issue, and in the United States, up to 60% of medical students, residents, physicians, and registered nurses experience symptoms. Wearable technologies may provide an opportunity to predict the onset of burnout and other forms of distress using physiological markers.
objectiveThis study aims to identify physiological biomarkers of burnout, and establish what gaps are currently present in the use of wearable technologies for burnout prediction among health care professionals (HCPs).
methodsA comprehensive search of several databases was performed on June 7, 2022. No date limits were set for the search. The databases were Ovid: MEDLINE(R), Embase, Healthstar, APA PsycInfo, Cochrane Central Register of Controlled Trials, Cochrane Database of Systematic Reviews, Web of Science Core Collection via Clarivate Analytics, Scopus via Elsevier, EBSCOhost: Academic Search Premier, CINAHL with Full Text, and Business Source Premier. Studies observing anxiety, burnout, stress, and depression using a wearable device worn by an HCP were included, with HCP defined as medical students, residents, physicians, and nurses. Bias was assessed using the Newcastle Ottawa Quality Assessment Form for Cohort Studies.
resultsThe initial search yielded 505 papers, from which 10 (1.95%) studies were included in this review. The majority (n=9) used wrist-worn biosensors and described observational cohort studies (n=8), with a low risk of bias. While no physiological measures were reliably associated with burnout or anxiety, step count and time in bed were associated with depressive symptoms, and heart rate and heart rate variability were associated with acute stress. Studies were limited with long-term observations (eg, ≥12 months) and large sample sizes, with limited integration of wearable data with system-level information (eg, acuity) to predict burnout. Reporting standards were also insufficient, particularly in device adherence and sampling frequency used for physiological measurements.
conclusionsWith wearables offering promise for digital health assessments of human functioning, it is possible to see wearables as a frontier for predicting burnout. Future digital health studies exploring the utility of wearable technologies for burnout prediction should address the limitations of data standardization and strategies to improve adherence and inclusivity in study participation.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.