Predicting Burnout in Nurses

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

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.

Study Overview

• Status: Enrolling by invitation
• Conditions: Burnout, Healthcare Workers

• Study Type: Observational
• Enrollment (Estimated): 360

Contacts and Locations

Study Locations

• United States
  • Florida
    • Jacksonville, Florida, United States, 32224
      • Mayo Clinic in Florida
  • Minnesota
    • Rochester, Minnesota, United States, 55905
      • Mayo Clinic in Rochester

Participation Criteria

Eligibility Criteria

• Ages Eligible for Study: 20 years to 62 years (Adult)
• Accepts Healthy Volunteers: Yes

• Sampling Method: Non-Probability Sample

Study Population

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.

Description

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.

Study Plan

How is the study designed?

Design Details

• Observational Models: Cohort
• Time Perspectives: Prospective

What is the study measuring?

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

Collaborators and Investigators

• Sponsor: Mayo Clinic
• Collaborators: National Institute of Nursing Research (NINR)
• Investigators: Principal Investigator: William Bobo, MD, Mayo Clinic

Publications and helpful links

Helpful Links

• Mayo Clinic Clinical Trials

Study record dates

Study Major Dates

• Study Start (Actual): August 15, 2022
• Primary Completion (Estimated): January 1, 2026
• Study Completion (Estimated): January 1, 2026

Study Registration Dates

• First Submitted: July 28, 2022
• First Submitted That Met QC Criteria: July 28, 2022
• First Posted (Actual): August 1, 2022

Study Record Updates

• Last Update Posted (Actual): August 22, 2023
• Last Update Submitted That Met QC Criteria: August 19, 2023
• Last Verified: August 1, 2023

More Information

Terms related to this study

• Keywords: Artificial intelligence; Wearable; Registered Nurses
• Additional Relevant MeSH Terms: Behavioral Symptoms; Stress, Psychological; Burnout, Psychological
• Other Study ID Numbers: 22-000447; R01NR020362-01 (U.S. NIH Grant/Contract)

Plan for Individual participant data (IPD)

• Plan to Share Individual Participant Data (IPD)?: NO

Drug and device information, study documents

• Studies a U.S. FDA-regulated drug product: No
• Studies a U.S. FDA-regulated device product: No