A Study of Child Injury Based on Data Mining
Last updated on July 2021Recruitment
- Recruitment Status
- Not yet recruiting
- Estimated Enrollment
- Same as current
Summary
- Conditions
- Child
- Injuries
- Type
- Observational
- Design
- Observational Model: CohortTime Perspective: Prospective
Participation Requirements
- Age
- Younger than 18 years
- Gender
- Both males and females
Description
Injuries are a leading cause of death for infants and children around the world. According to the Haddon Injury Control Model, 90 percent of injuries are both predictable and preventable. Injuries are preventable, not "accidents". All unintentionally and intentionally injured children first visit to...
Injuries are a leading cause of death for infants and children around the world. According to the Haddon Injury Control Model, 90 percent of injuries are both predictable and preventable. Injuries are preventable, not "accidents". All unintentionally and intentionally injured children first visit to the emergency department are recruited in the study. Children's Hospital of Fudan University with a Regional Pediatric Trauma Centre is also the first Pediatric Injury Prevention Center established in China. We conduct a prospective cohort study to investigate the epidemiology, clinical course, and outcomes of the injured child first visit to the emergency department, which expected to serve as evidence of injury prevention and promising practices. In the study, we collect and analyze high quality data of child injury based on data mining.
Tracking Information
- NCT #
- NCT04528810
- Collaborators
- Not Provided
- Investigators
- Not Provided