Developing best practices to study trauma outcomes in large databases: an evidence-based approach to determine the best mortality risk adjustment model.

@article{Haider2014DevelopingBP,
  title={Developing best practices to study trauma outcomes in large databases: an evidence-based approach to determine the best mortality risk adjustment model.},
  author={Adil Haider and Zain G. Hashmi and Syed Nabeel Zafar and Renan Castillo and Elliott R. Haut and Eric B. Schneider and E. C. Eblison ’ D. G. Cornwell and Ellen J. Mackenzie and David T. Efron},
  journal={The journal of trauma and acute care surgery},
  year={2014},
  volume={76 4},
  pages={
          1061-9
        }
}
BACKGROUND The National Trauma Data Bank (NTDB) is an invaluable resource to study trauma outcomes. Recent evidence suggests the existence of great variability in covariate handling and inclusion in multivariable analyses using NTDB, leading to differences in the quality of published studies and potentially in benchmarking trauma centers. Our objectives were to identify the best possible mortality risk adjustment model (RAM) and to define the minimum number of covariates required to adequately… CONTINUE READING

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2010 [Internet

  • NTDB User Manua
  • Available at: http://www.facs.org/ trauma/ntdb…
  • 2012

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