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Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Comparing regression-adjusted mortality to standardized mortality ratios for trauma center profiling
Lynne Moore1, James A Hanley, Alexis F Turgeon
1Department of Epidemiology and Biostatistics. McGill University, Montreal, Canada.
Journal of Emergencies, Trauma, and Shock
|December 19, 2012
Summary
Standardized Mortality Ratios (SMRs) may provide misleading trauma center rankings. Regression-Adjusted Mortality (RAM) estimates offer a more accurate method for profiling trauma center performance and patient outcomes.
Area of Science:
- Trauma care quality assessment
- Health services research
- Biostatistics
Background:
- Trauma center profiling commonly uses Standardized Mortality Ratios (SMRs).
- Comparing SMRs across centers with varying case mixes can lead to confounding and biased performance rankings.
- Regression-Adjusted Mortality (RAM) is proposed as a more valid alternative.
Purpose of the Study:
- To compare trauma center performance rankings derived from RAM estimates versus SMRs.
- To evaluate the validity of SMRs for trauma center profiling.
Main Methods:
- Utilized data from a provincial Trauma Registry (1999-2006; n = 88,235).
- Calculated SMRs using internal and external standards (US National Trauma Data Bank).
- Derived RAM estimates using a hierarchical logistic regression model.
Main Results:
- Significant rank changes were observed when comparing SMRs and RAM: 49/59 centers changed rank using internal SMRs, and 55/59 centers changed rank using external SMRs.
- 17 centers shifted by more than five ranks when comparing external SMRs and RAM.
- Crude mortality varied significantly across the 59 trauma centers.
Conclusions:
- SMRs may be a misleading metric for ranking trauma centers based on mortality.
- RAM estimates present a more valid and reliable approach for trauma center profiling and performance evaluation.
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