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Research on the Application of Healthcare Big Data in the Prevention and Control System for Device-Related Pressure Injuries

Research on the Application of Healthcare Big Data in the Prevention and Control System for Device-Related Pressure Injuries

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600122982
Enrollment
Unknown
Registered
2026-04-20
Start date
2026-05-01
Completion date
Unknown
Last updated
2026-04-27

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

Conditions

Device-related pressure injury

Interventions

Observation Group:None

Sponsors

Shanxi Bethune Hospital (Shanxi Academy of Medical Sciences)
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Relying on the hospital's information platform, health and medical big data of patients with device-related or some non-device-related pressure injuries are collected

Exclusion criteria

Exclusion criteria: None

Design outcomes

Primary

MeasureTime frame
Predictive performance of DRPI risk assessment model (measured by AUC, sensitivity, specificity, and predictive accuracy);Incidence rate of DRPI;Proportion of DRPI among pressure injuries;Healing rate of DRPI;Consultation rate within 24 hours for high-risk patients;System usage rate;Time to complete assessment;Nurse satisfaction;—

Countries

China

Contacts

Public ContactNiu Yanbin

Shanxi Bethune Hospital (Shanxi Academy of Medical Sciences)

13814423@qq.com+86 351 8368995

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: May 1, 2026