Predicting Burnout in Nurses

Study Overview
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Brief Summary
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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.

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

Conditions
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Burnout, Healthcare Workers

Participation Criteria
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Eligibility Criteria
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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.

Ages Eligible for Study
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Minimum Age: 20 Years
Maximum Age: 62 Years

Sexes Eligible for Study
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All

Accepts Healthy Volunteers
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Accepts Healthy Volunteers

Study Plan
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How is the study designed?
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What is the study measuring?
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Primary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| Change in Maslach Burnout Inventory-Human Services Survey (MBI-HSS) | Self-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 | Baseline, 3 months, 6 months, 9 months, 12 months | 

Secondary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| Change in Quick Inventory of Depressive Symptomatology (QIDS-SR) | Self-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. | Baseline, 3 months, 6 months, 9 months, 12 months | 
| Change in LASA Quality of Life Scale | Linear 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. | Baseline, 3 months, 6 months, 9 months, 12 months | 
| Sense of belonging | Measured 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. | Baseline | 
| Change in Food Intake Questionnaire | Measured 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 | Baseline, 3 months, 6 months, 9 months, 12 months | 
| Sleep quality | Measures by smartwatch that is worn daily by the subject reported in hours of sleep | Every day over 12-month study period | 
| Daily heart rate | Measured by smartwatch that is worn daily by the subject reported in beats per minute | 12 months | 
| Daily physical activity | Measured by smartwatch that is worn daily by the subject reported in time spent in activity (minutes) | 12 months | 
| Daily step count | Measured by smartwatch that is worn daily by the subject reported in number of steps per day | 12 months | 

 Terms related to the study
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Keywords Provided by Centre Hospitalier Valida
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Registered Nurses, Artificial intelligence, Wearable