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Research on prediction model of mental readiness for childbirth based on journey mapping and deep learning

Research on prediction model of mental readiness for childbirth based on journey mapping and deep learning

Status
Active, not recruiting
Phases
Early Phase 1
Study type
Interventional
Source
ChiCTR
Registry ID
ChiCTR2200065400
Enrollment
Unknown
Registered
2022-11-03
Start date
2022-11-14
Completion date
Unknown
Last updated
2023-05-15

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

Conditions

Fear of childbirth

Interventions

Control group:Routine prenatal examination, follow-up and mother's class
Intervention group:Routine antenatal examination, follow-up and mother's class + accurate prediction of delivery attitude, accurate management to eliminate fear, and accurate improvement of delivery c

Sponsors

Fudan University, School of Nursing
Lead Sponsor

Eligibility

Sex/Gender
Female

Inclusion criteria

Inclusion criteria: 1. Pregnant women with gestational age >= 28 weeks and < 32 weeks; 2. First pregnancy, singleton; 3. Volunteer to be a researcher; 4. Regular participation in prenatal examination; 5. Births in our hospital.

Exclusion criteria

Exclusion criteria: 1. Patients with a history of schizophrenia; 2. People with mental retardation; 3. Gestational weeks have serious physical diseases, pregnancy complications or complications and lead to natural childbirth.

Design outcomes

Primary

MeasureTime frame
Childbirth Attitude Questionaire;Coping with Childbirth;Childbirth experience questionnaire;

Countries

China

Contacts

Public ContactZhao Ying

Fudan University, School of Nursing

zhaoying@fudan.edu.cn+86 13611961525

Outcome results

None listed

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