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Examining the sensitivity of an injury surveillance program using population-based estimates
A K Macpherson1, H L White, S Mongeon
1School of Kinesiology and Health Science, York University, Toronto, ON, Canada. alison3@yorku.ca
Summary
This study evaluated the Canadian Hospitals Injury Reporting and Prevention Program (CHIRPP) using population-based data. CHIRPP captures a significant portion of injuries, particularly those treated in emergency departments, but has limitations in representing older children and less severe injuries.
Area of Science:
- Public Health
- Epidemiology
- Injury Prevention
Background:
- Injury surveillance systems are crucial for understanding injury trends and informing prevention strategies.
- The Canadian Hospitals Injury Reporting and Prevention Program (CHIRPP) is a key source of injury data.
- Assessing the sensitivity and representativeness of surveillance systems is vital for data interpretation.
Purpose of the Study:
- To evaluate the sensitivity and representativeness of the CHIRPP injury surveillance system.
- To compare CHIRPP data with population-based estimates.
- To identify potential biases in injury data collection.
Main Methods:
- Utilized population-based estimates for a 1-year period.
- Compared data from the Ottawa CHIRPP site with six expansion sites.
- Analyzed sensitivity and representativeness of CHIRPP for various injury types and demographics.
Main Results:
- CHIRPP demonstrated an overall sensitivity of 43% for all treated injuries and 57% for emergency department-treated injuries.
- The system was less representative for older children.
- CHIRPP tended to capture more severe injuries.
- Limitations in representativeness remained relatively stable over time.
Conclusions:
- A one-time population-based sample can enhance routinely collected injury surveillance data.
- CHIRPP provides valuable insights into injury patterns but has limitations in capturing the full spectrum of injuries.
- Findings support the continued use and refinement of CHIRPP for injury surveillance.
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