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Predicting Burnout in Nurses

Wearable Augmented Prediction of Burnout in Nurses: A Synergy of Engineering, Bioethics, Nursing and Wellness Sciences

Status
Completed
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT05481138
Enrollment
531
Registered
2022-08-01
Start date
2022-08-15
Completion date
2025-03-01
Last updated
2025-06-24

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Burnout, Healthcare Workers

Keywords

Registered Nurses, Artificial intelligence, Wearable

Brief summary

The purpose of this study is to develop a technology to predict burnout in RNs by measuring workplace, psychological, and physiological factors experienced by nurses.

Interventions

None listed

Sponsors

National Institute of Nursing Research (NINR)
CollaboratorNIH
Mayo Clinic
Lead SponsorOTHER

Study design

Observational model
COHORT
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Age
20 Years to 62 Years
Healthy volunteers
Yes

Inclusion criteria

* Employed as a registered nurse at Mayo Clinic Rochester or Mayo Clinic Florida. * Primary work assignment is one of the following: medical-surgical units, operating and recovery rooms, emergency room, intensive/cardiac care units, or other special care units (including neonatal intensive care units and newborn nurseries). * Proficient in written and spoken English. * Able to provide written informed consent.

Exclusion criteria

\- Any exception to above criteria.

Design outcomes

Primary

MeasureTime frameDescription
Change in Maslach Burnout Inventory-Human Services Survey (MBI-HSS)Baseline, 3 months, 6 months, 9 months, 12 monthsSelf-reported Maslach Burnout Inventory-Human Services Survey (MBI-HSS) assess clinician well-being in dimensions of burnout, engagement, and professional satisfaction. 22-item questionnaire ranking job-related feeling on 0 to 6 scale; 0 = never had this feeling, 6 = every day had this feeling

Secondary

MeasureTime frameDescription
Change in LASA Quality of Life ScaleBaseline, 3 months, 6 months, 9 months, 12 monthsLinear Analogue Self-Assessment (LASA) 6-item questionnaire that assess feelings during the past week on an individual question scale of 0 to 10; 0 = as bad as it can be, 10 = as good as it can be. Total scores range 6-60 with higher scores indicating better perception of quality of life.
Sense of belongingBaselineMeasured using a 2- item self-reported questionnaire on sense of belonging to the nursing unit and hospital on an individual question scale of 0 to 4; 0=no opinion, 4=very strong. Total scores range from 0 to 8 with higher score indicating a greater sense of belonging.
Change in Food Intake QuestionnaireBaseline, 3 months, 6 months, 9 months, 12 monthsMeasured using a self-reported multifactor food intake 16-item questionnaire that assess how many times per day, week or month subjects ate each food on a scale of never, 1-3 times last month, 1-2 times per week, 3-4 times per week, 5-6 times per week, 1 time per day, 2 times per day, 3 times per day, 4 or more times per day
Change in Quick Inventory of Depressive Symptomatology (QIDS-SR)Baseline, 3 months, 6 months, 9 months, 12 monthsSelf-reported Quick Inventory of Depressive Symptomatology (QIDS-SR) is a 16-item questionnaire that rates depression symptoms over the past seven days on an individual question scale of 0 to 3. Total scores range from 0 to 27 with higher scores indicating greater severity of depressive symptoms.
Daily heart rate12 monthsMeasured by smartwatch that is worn daily by the subject reported in beats per minute
Daily physical activity12 monthsMeasured by smartwatch that is worn daily by the subject reported in time spent in activity (minutes)
Daily step count12 monthsMeasured by smartwatch that is worn daily by the subject reported in number of steps per day
Sleep qualityEvery day over 12-month study periodMeasures by smartwatch that is worn daily by the subject reported in hours of sleep

Countries

United States

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 9, 2026