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Risk prediction and intervention study on the failure of digestive endoscopy patients based on health belief model and machine learning.

Risk prediction and intervention study on the failure of digestive endoscopy patients based on health belief model and machine learning.

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
ChiCTR
Registry ID
ChiCTR2500112097
Enrollment
Unknown
Registered
2025-11-10
Start date
2026-01-01
Completion date
Unknown
Last updated
2025-11-17

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

Conditions

Patients undergoing digestive endoscopy

Interventions

Control group:High-risk patients predicted by the model+receiving routine management
Experimental group:High-risk patients predicted by the model+receiving personalized intervention

Sponsors

The first affiliated hostipal of nanchang university
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1. Age >= 18 years old; 2. Patients who have completed the registration appointment; 3. Voluntary participation in this study and signing of informed consent.

Exclusion criteria

Exclusion criteria: 1. patients who have been cancelled by the hospital; 2. patients who have been rescheduled or cancelled before the appointment date.

Design outcomes

Primary

MeasureTime frame
Stand-up rate;—

Secondary

MeasureTime frame
Satisfaction;—

Countries

China

Contacts

Public ContactHuang Xi

The first affiliated hostipal of nanchang university

13767972188@163.com+86 791 8869 4287

Outcome results

None listed

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