Burnout, Healthcare Workers
Conditions
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
Study design
Eligibility
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
| Measure | Time frame | Description |
|---|---|---|
| Change in Maslach Burnout Inventory-Human Services Survey (MBI-HSS) | Baseline, 3 months, 6 months, 9 months, 12 months | 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 |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Change in LASA Quality of Life Scale | Baseline, 3 months, 6 months, 9 months, 12 months | 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. |
| Sense of belonging | Baseline | 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. |
| Change in Food Intake Questionnaire | Baseline, 3 months, 6 months, 9 months, 12 months | 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 |
| Change in Quick Inventory of Depressive Symptomatology (QIDS-SR) | Baseline, 3 months, 6 months, 9 months, 12 months | 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. |
| Daily heart rate | 12 months | Measured by smartwatch that is worn daily by the subject reported in beats per minute |
| Daily physical activity | 12 months | Measured by smartwatch that is worn daily by the subject reported in time spent in activity (minutes) |
| Daily step count | 12 months | Measured by smartwatch that is worn daily by the subject reported in number of steps per day |
| Sleep quality | Every day over 12-month study period | Measures by smartwatch that is worn daily by the subject reported in hours of sleep |
Countries
United States