FindTrial
Sign In

Selection and validation of a machine learning-based predictive model for compassion fatigue in nursing interns

Selection and validation of a machine learning-based predictive model for compassion fatigue in nursing interns

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500114051
Enrollment
Unknown
Registered
2025-12-05
Start date
2025-12-12
Completion date
Unknown
Last updated
2025-12-08

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

Conditions

Compassion Fatigue

Interventions

Observation Group on Compassion Fatigue:None

Sponsors

Shantou University Medical College
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: (1) Nursing intern; (2) Complete at least 8 weeks of clinical internship; (3) Voluntarily sign the informed consent form and cooperate to complete all the research procedures.

Exclusion criteria

Exclusion criteria: (1) Those who experienced major medical accidents or severe occupational exposures during the internship; (2) Those who participated in other similar studies at the same time; (3) Questionnaires with more than 20% data missing or with missing key data.

Design outcomes

Primary

MeasureTime frame
The compassion fatigue short scale;—

Secondary

MeasureTime frame
The professional identity scale;The social support rating scale;The 10-item Connor-Davidson resilience scale;—

Countries

China

Contacts

Public ContactLiu Youhua

Shantou University Medical College

yhliu1@stu.edu.cn+86 198 0037 1383

Outcome results

None listed

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