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Artificial intelligence based tailored program effectiveness to reduce nurse burnout: A randomized controlled trial study

Artificial intelligence based tailored program effectiveness to reduce nurse burnout: A randomized controlled trial study

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
CRIS
Registry ID
KCT0008546
Enrollment
120
Registered
2023-06-23
Start date
2023-06-19
Completion date
Unknown
Last updated
2025-05-07

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

None listed

Interventions

Others : The AI-based burnout reduction program in the experimental group is conducted for a total of 4 weeks from pre-survey to post-survey within the 'Nurse Healing Space' application. This is done

Sponsors

Ewha Womans University
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1) Working in a hospital, 2) Nurses who have worked independently at the current place of work for more than one month

Exclusion criteria

Exclusion criteria: Nurses who do not provide direct care

Design outcomes

Primary

MeasureTime frame
burnout

Secondary

MeasureTime frame
General characteristics: sex, age, marital status, position, hospital bed size, clinical experience, work department, overtime, current shift type, turnover intention;job stress;stress reponse;coping strategy

Countries

Korea, Republic of

Contacts

Public ContactGumhee Baek

Ewha Womans University

dnjsxka486@naver.com+82-51-337-0725

Outcome results

None listed

Source: CRIS (via WHO ICTRP) · Data processed: Feb 4, 2026