Modelling Long Term Disability following Injury: Comparison of Three Approaches for Handling Multiple Injuries
2011

Modeling Long Term Disability after Injury

Sample size: 11337 publication 10 minutes Evidence: moderate

Author Information

Author(s): Gabbe Belinda J., Harrison James E., Lyons Ronan A., Jolley Damien

Primary Institution: Monash University

Hypothesis

This study aimed to establish the 12-month disability associated with each GBD 2010 injury health state and compare approaches to modeling the impact of multiple injury health states on disability.

Conclusion

The majority of patients survived with persisting disability at 12-months, highlighting the importance of improving estimates of non-fatal injury burden.

Supporting Evidence

  • 46% of cases had a single injury health state.
  • The additive and 'worst injury' models showed higher discrimination than the multiplicative model.
  • 41.9% of the training dataset cases had recovered at 12 months.

Takeaway

After getting hurt, many people still have problems a year later, and we need to get better at understanding how injuries affect them.

Methodology

The study analyzed 12-month functional outcomes for 11,337 survivors using data from two trauma registries and evaluated three logistic regression models.

Potential Biases

The follow-up rate was 86%, and the outcomes of patients lost to follow-up are unknown.

Limitations

The study focused on severe and orthopedic injury cases, which may limit the generalizability of the findings.

Participant Demographics

The mean age was approximately 52.8 years, with 59.3% male and 40.7% female participants.

Statistical Information

P-Value

p<0.05

Confidence Interval

95% CI: 0.69, 0.71

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1371/journal.pone.0025862

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