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| ID | Type | Description | Link |
|---|---|---|---|
| R01NR020362-01 | U.S. NIH Grant/Contract | View source |
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| Name | Class |
|---|---|
| National Institute of Nursing Research (NINR) | NIH |
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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.
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| 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 |
| 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 |
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Inclusion Criteria:
Exclusion Criteria:
- Any exception to above criteria.
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Registered Nurses (RNs) at Mayo Clinic from Emergency Department, Intensive Care Units (including neonatal), selected Medical/Surgical units, and Inpatient Psychiatry. RNs from Inpatient Psychiatry will be recruited only from Mayo Rochester.
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| Name | Affiliation | Role |
|---|---|---|
| Arjun P. Athreya, Ph.D., M.S. | Mayo Clinic | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Mayo Clinic in Florida | Jacksonville | Florida | 32224 | United States | ||
| Mayo Clinic in Rochester |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 38347557 | Derived | Wilton AR, Sheffield K, Wilkes Q, Chesak S, Pacyna J, Sharp R, Croarkin PE, Chauhan M, Dyrbye LN, Bobo WV, Athreya AP. The Burnout PRedictiOn Using Wearable aNd ArtIficial IntelligEnce (BROWNIE) study: a decentralized digital health protocol to predict burnout in registered nurses. BMC Nurs. 2024 Feb 13;23(1):114. doi: 10.1186/s12912-024-01711-8. |
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| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| ICF | No | No | Yes | Informed Consent Form | Sep 6, 2023 | Jun 9, 2025 | ICF_000.pdf |
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| ID | Term |
|---|---|
| D000077062 | Burnout, Psychological |
| ID | Term |
|---|---|
| D013315 | Stress, Psychological |
| D001526 | Behavioral Symptoms |
| D001519 | Behavior |
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| 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 |
| Rochester |
| Minnesota |
| 55905 |
| United States |