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Burnout, Healthcare WorkersNCT05481138

Predicting Burnout in Nurses

An observational study of Burnout, Healthcare Workers, run by Mayo Clinic at 2 sites in United States.

Completed

Finished. The study has ended and is not enrolling. Results may be posted on the official record.

Official record
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Trial 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. Read more about this study

Who is it for?
Ages 20 to 62 yearsHealthy volunteers can take part
Conditions the study is for
Burnout, Healthcare Workers
How many people
531 participants
Where
2 sitesUnited States
Study dates
15 Aug 2022to 1 Mar 2025
Phase
Observational
Are there results?
None posted in the registry

Key requirements

Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.

  • Ages 20 to 62 years
  • All sexes
  • Healthy volunteers accepted
  • Adult

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.

Who may be able to join

  • 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.

Who cannot join

  • Any exception to above criteria.

Trial locations and contacts

2 sites in 1 country.

United States2 sites

  • Mayo Clinic in Florida

    Jacksonville, Florida, 32224

  • Mayo Clinic in Rochester

    Rochester, Minnesota, 55905

Other trials in United States

About this study

Official title: 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.

Keywords
Registered Nurses, Artificial intelligence, Wearable
Medical subject headings
Burnout, Psychological

What is being measured

The primary outcome is the main question the study is designed to answer.

  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

    Measured: Baseline, 3 months, 6 months, 9 months, 12 months

Secondary outcomes (8)

  1. 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.

    Measured: Baseline, 3 months, 6 months, 9 months, 12 months

  2. 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.

    Measured: Baseline, 3 months, 6 months, 9 months, 12 months

  3. 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.

    Measured: Baseline

  4. 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

    Measured: Baseline, 3 months, 6 months, 9 months, 12 months

  5. Sleep quality

    Measures by smartwatch that is worn daily by the subject reported in hours of sleep

    Measured: Every day over 12-month study period

  6. Daily heart rate

    Measured by smartwatch that is worn daily by the subject reported in beats per minute

    Measured: 12 months

  7. Daily physical activity

    Measured by smartwatch that is worn daily by the subject reported in time spent in activity (minutes)

    Measured: 12 months

  8. Daily step count

    Measured by smartwatch that is worn daily by the subject reported in number of steps per day

    Measured: 12 months

Timeline

From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.

  1. First posted1 Aug 2022
  2. Study start15 Aug 2022
  3. Primary completion1 Jan 2025
  4. Study completion1 Mar 2025

Resources

More details

For doctors and researchers: how the study is designed, who runs it, and its registry IDs.

Study design
Study type
Observational
Observational model
Cohort
Time perspective
Prospective
Enrolment
531 participants (actual)
IDs, dates and publications
ClinicalTrials.gov ID
NCT05481138
Sponsor's protocol ID
22-000447
Other IDs
R01NR020362-01
Status last verified
Jun 2025
First submitted
28 Jul 2022
Last updated
24 Jun 2025
Results posted
No
Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
Individual data sharing
No

Publications

  • 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.

    PubMed 38347557

Questions about this trial

What is this clinical trial studying?

An observational study of Burnout, Healthcare Workers, run by Mayo Clinic at 2 sites in United States.

The full registered description is in the About this study section and the official record.

Who may be eligible to take part?

The sponsor lists 4 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.

Is this clinical trial currently recruiting?

The record says: finished, as of the sponsor's last update on 24 Jun 2025. Status can change between updates, so confirm with the study contact before making plans.

Where is the study taking place?

The record lists 2 sites in United States. Whether a site is taking part right now should be confirmed with that site. See every site.

What are the possible benefits and risks?

They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.

Are results available for this study?

The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.

How can a doctor refer a patient or contact the research team?

The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.

What does the primary outcome measure?

Change in Maslach Burnout Inventory-Human Services Survey (MBI-HSS) (time frame: Baseline, 3 months, 6 months, 9 months, 12 months). It is what the study was designed to measure, not a finding.

Where can I read the original study information?

On the ClinicalTrials.gov record for NCT05481138, which also lists 1 linked publication.

Does a listing mean the treatment is approved or proven to work?

No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.

How often is this information updated?

AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 24 Jun 2025.

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