A proposed approach in defining population-based rates of major injury from a trauma registry dataset: Delineation of hospital catchment areas (I)
2008

Defining Population-Based Rates of Major Injury from Trauma Registry Data

Sample size: 40543 publication Evidence: moderate

Author Information

Author(s): Alexandrescu Roxana, O'Brien Sarah J, Lyons Ronan A, Lecky Fiona E

Primary Institution: University of Manchester

Hypothesis

Can hospital-based injury data from a trauma registry be used to derive population-based rates of major injury?

Conclusion

Large national trauma registries, including TARN, hold suitable data for determining population-based injury rates.

Supporting Evidence

  • The study used data from 16 hospitals that met specific criteria for data quality and patient flow.
  • An average of 3.5 potential hospital competitors and 15.2 postcode districts per area were identified.
  • The overall numerator capture rate for one selected hospital was found to be 83.5%.

Takeaway

This study looks at how hospitals can use data to figure out how many people get hurt in their area, which helps in preventing injuries.

Methodology

The study analyzed hospital discharge data from a national trauma registry over a 10-year period to define hospital catchment areas and assess data quality.

Potential Biases

The voluntary nature of reporting to TARN may introduce bias in data completeness and accuracy.

Limitations

The study's sample is not representative as not all hospitals report to TARN, and data quality varies.

Participant Demographics

The study included data from 16 hospitals across England, with a focus on trauma admissions.

Digital Object Identifier (DOI)

10.1186/1472-6963-8-80

Want to read the original?

Access the complete publication on the publisher's website

View Original Publication