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Development of an Early Warning Model for Neonatal Diagnosis and Nursing Based on User Profile Analysis

Development of an Early Warning Model for Neonatal Diagnosis and Nursing Based on User Profile Analysis

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500098384
Enrollment
Unknown
Registered
2025-03-06
Start date
2025-03-06
Completion date
Unknown
Last updated
2025-03-10

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

Conditions

High-risk newborn

Interventions

medical staff:none
neonates:None

Sponsors

PEKING UNIVERSITY SHENZHEN HOSPITAL
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1.The inclusion criteria of medical staff were as follows: 1) with doctor/nurse professional qualification certificate; 2) clinical working time >= 5 years. 2.Neonatal inclusion criteria: 1) Newborns with high risk factors for hospitalization.

Exclusion criteria

Exclusion criteria: 1.Exclusion criteria for medical staff: 1) Doctors/nurses outside the hospital, including interns, advanced students, standardized trainees, etc. 2.Exclusion criteria for newborns: 1) Newborns whose parents refuse hospitalization.

Design outcomes

Primary

MeasureTime frame
Results of the interview;—

Countries

China

Contacts

Public ContactMO YU YING

PEKING UNIVERSITY SHENZHEN HOSPITAL

moyy9@mail2.sysu.edu.cn+86 755 83923333

Outcome results

None listed

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