Literature DB >> 20154535

The Trauma Quality Improvement Program: pilot study and initial demonstration of feasibility.

Mark R Hemmila1, Avery B Nathens, Shahid Shafi, J Forrest Calland, David E Clark, H Gill Cryer, Sandra Goble, Christopher J Hoeft, J Wayne Meredith, Melanie L Neal, Michael D Pasquale, Michelle D Pomphrey, John J Fildes.   

Abstract

OBJECTIVE: The American College of Surgeons Committee on Trauma has created a "Trauma Quality Improvement Program" (TQIP) that uses the existing infrastructure of Committee on Trauma programs. As the first step toward full implementation of TQIP, a pilot study was conducted in 23 American College of Surgeons verified or state designated Level I and II trauma centers. This study details the feasibility and acceptance of TQIP among the participating centers.
METHODS: Data from the National Trauma Data Bank for patients admitted to pilot study hospitals during 2007 were used (15,801 patients). A multivariable logistic regression model was developed to estimate risk-adjusted mortality in aggregate and on three prespecified subgroups (1: blunt multisystem, 2: penetrating truncal, and 3: blunt single-system injury). Benchmark reports were developed with each center's risk adjusted mortality (expressed as an observed-to-expected [O/E] mortality ratio and 90% confidence interval [CI]) and crude complication rates available for comparison. Reports were deidentified with only the recipient having access to their performance relative to their peers. Feedback from individual centers regarding the utility of the reports was collected by survey.
RESULTS: Overall crude mortality was 7.7% and in cohorts 1 to 3 was 16.4%, 12.4%, and 5.1%, respectively. In the aggregate risk-adjusted analysis, three trauma centers were low outliers (O/E and 90% CI <1) and two centers were high outliers (O/E and 90% CI >1) with the remaining 18 centers demonstrating average mortality. Challenges identified were in benchmarking mortality after penetrating injury due to small sample size and in the limited capture of complications. Ninety-two percent of survey respondents found the report clear and understandable, and 90% thought that the report was useful. Sixty-three percent of respondents will be taking action based on the report.
CONCLUSIONS: Using the National Trauma Data Bank infrastructure to provide risk-adjusted benchmarking of trauma center mortality is feasible and perceived as useful. There are differences in O/E ratios across similarly verified or designated centers. Substantial work is required to allow for morbidity benchmarking.

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Year:  2010        PMID: 20154535     DOI: 10.1097/TA.0b013e3181cfc8e6

Source DB:  PubMed          Journal:  J Trauma        ISSN: 0022-5282


  35 in total

1.  Ground-level falls: 9-year cumulative experience in a regionalized trauma system.

Authors:  Alan Cook; Angela Cade; Brad King; John Berne; Luis Fernandez; Scott Norwood
Journal:  Proc (Bayl Univ Med Cent)       Date:  2012-01

2.  Trauma registry comparison: six-year results in trauma care in Southern Finland and Germany.

Authors:  T Brinck; L Handolin; T Paffrath; R Lefering
Journal:  Eur J Trauma Emerg Surg       Date:  2014-11-14       Impact factor: 3.693

3.  Variation in prehospital use and uptake of the national Field Triage Decision Scheme.

Authors:  Andy S Barnett; N Ewen Wang; Ritu Sahni; Renee Y Hsia; Jason S Haukoos; Erik D Barton; James F Holmes; Craig D Newgard
Journal:  Prehosp Emerg Care       Date:  2013 Apr-Jun       Impact factor: 3.077

4.  Predicting outcome after traumatic brain injury: development of prognostic scores based on the IMPACT and the APACHE II.

Authors:  Rahul Raj; Jari Siironen; Riku Kivisaari; Juha Hernesniemi; Markus B Skrifvars
Journal:  J Neurotrauma       Date:  2014-08-12       Impact factor: 5.269

5.  The Effect of Timing of Intracranial Pressure Monitor Placement in Patients with Severe Traumatic Brain Injury.

Authors:  Haydn Hoffman; Katherine M Bunch; Matthew Protas; Lawrence S Chin
Journal:  Neurocrit Care       Date:  2021-02       Impact factor: 3.210

6.  Hazard regression models of early mortality in trauma centers.

Authors:  David E Clark; Jing Qian; Robert J Winchell; Rebecca A Betensky
Journal:  J Am Coll Surg       Date:  2012-10-01       Impact factor: 6.113

7.  Association Between Real-time Electronic Injury Surveillance Applications and Clinical Documentation and Data Acquisition in a South African Trauma Center.

Authors:  Eiman Zargaran; Richard Spence; Lauren Adolph; Andrew Nicol; Nadine Schuurman; Pradeep Navsaria; Damon Ramsey; S Morad Hameed
Journal:  JAMA Surg       Date:  2018-05-16       Impact factor: 14.766

8.  Choice of Reference Creatinine for Post-Traumatic Acute Kidney Injury Diagnosis.

Authors:  Gabrielle E Hatton; Reginald E Du; Claudia Pedroza; Shuyan Wei; John A Harvin; Kevin W Finkel; Charles E Wade; Lillian S Kao
Journal:  J Am Coll Surg       Date:  2019-09-20       Impact factor: 6.113

9.  Increasing time to operation is associated with decreased survival in patients with a positive FAST examination requiring emergent laparotomy.

Authors:  Ronald R Barbosa; Susan E Rowell; Erin E Fox; John B Holcomb; Eileen M Bulger; Herbert A Phelan; Louis H Alarcon; John G Myers; Karen J Brasel; Peter Muskat; Deborah J del Junco; Bryan A Cotton; Charles E Wade; Mohammad H Rahbar; Mitchell J Cohen; Martin A Schreiber
Journal:  J Trauma Acute Care Surg       Date:  2013-07       Impact factor: 3.313

10.  American College of Surgeons trauma center verification versus state designation: are Level II centers slipping through the cracks?

Authors:  Joshua B Brown; Gregory A Watson; Raquel M Forsythe; Louis H Alarcon; Graciela Bauza; Alan D Murdock; Timothy R Billiar; Andrew B Peitzman; Jason L Sperry
Journal:  J Trauma Acute Care Surg       Date:  2013-07       Impact factor: 3.313

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