Predicting Burnout in Nurses

NCT05481138 | Completed

• 2 other identifiers: 22-000447R01NR020362-01
• Study Type: observational
• Target: 531
• Locations: 1 country
• Sites: 2

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.

Conditions

Burnout, Healthcare Workers

Keywords

Registered Nurses; Artificial intelligence; Wearable

Outcome Measures

Primary Outcomes (1)

• 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 Outcomes (8)

• Change in Quick Inventory of Depressive Symptomatology (QIDS-SR)

  Baseline, 3 months, 6 months, 9 months, 12 months

• Change in LASA Quality of Life Scale

  Baseline, 3 months, 6 months, 9 months, 12 months

• Sense of belonging

  Baseline

• Change in Food Intake Questionnaire

  Baseline, 3 months, 6 months, 9 months, 12 months

• Sleep quality

  Every day over 12-month study period

Eligibility Criteria

• Age: 20 Years - 62 Years
• Sex: all
• Healthy Volunteers: Yes
• Age Groups: Adult (18-64)
• 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.

You may qualify if:

• 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.

You may not qualify if:

• \- Any exception to above criteria.

Sponsors & Collaborators

• Mayo Clinic: lead
• National Institute of Nursing Research (NINR): collaborator

Study Sites (2)

Mayo Clinic in Florida

Jacksonville, Florida, 32224, United States

Location

Mayo Clinic in Rochester

Rochester, Minnesota, 55905, United States

Location

Related Publications (1)

• 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.

  PMID: 38347557 DERIVED

MeSH Terms

Conditions

Burnout, Psychological

Condition Hierarchy (Ancestors)

Stress, Psychological; Behavioral Symptoms; Behavior

Study Officials

• Arjun P. Athreya, Ph.D., M.S.

  Mayo Clinic

  PRINCIPAL INVESTIGATOR

Study Design

• Study Type: observational
• Observational Model: COHORT
• Time Perspective: PROSPECTIVE
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Principal Investigator

Study Record Dates

• First Submitted: July 28, 2022
• First Posted: August 1, 2022
• Study Start: August 15, 2022
• Primary Completion: January 1, 2025
• Study Completion: March 1, 2025
• Last Updated: June 24, 2025

Record last verified: 2025-06

Data Sharing

• IPD Sharing: Will not share

Locations

US (2)