Literature DB >> 17950334

Detecting the blind spot: complications in the trauma registry and trauma quality improvement.

Mark R Hemmila1, Jill L Jakubus, Wendy L Wahl, Saman Arbabi, William G Henderson, Shukri F Khuri, Paul A Taheri, Darrell A Campbell.   

Abstract

BACKGROUND: The National Surgical Quality Improvement Program (NSQIP) has reduced complications for surgery patients in the Department of Veterans Affairs Healthcare System. The American College of Surgeons Committee on Trauma maintains the National Trauma Data Bank (NTDB) to track injured patient comorbidities, complications, and mortality. We sought to apply the NSQIP methodology to collect comorbidity and outcome data for trauma patients. Data were compared to the NTDB to determine the benefit and validity of using the NSQIP methodology for trauma. STUDY
DESIGN: Utilizing the NSQIP methodology, data were collected from August 1, 2004 to July 31, 2005 on all adult patients admitted to the trauma service at a level 1 trauma center. NSQIP data were collected for general surgery patients during the same time period from the same institution. Data were also extracted from v5.0 of the NTDB for patients >or=18 years old admitted to level 1 trauma centers. Comparisons between University of Michigan (UM) NSQIP Trauma and UM NSQIP General Surgery patients and between UM NSQIP Trauma and NTDB (2004) patients were performed using univariate and multivariate analysis.
RESULTS: Before risk adjustment, there was a difference in mortality between the UM NSQIP Trauma and NTDB (2004) groups with univariate analysis (8.4% vs 5.7%; odds ratio [OR], 0.7; 95% confidence interval [CI] 0.5-0.9; P = .01). This survival advantage reversed to favor the UM NSQIP Trauma patient group when risk adjustment was performed (OR, 2.3; 95% CI, 1.6-3.4; P < .001). The UM NSQIP Trauma group had more complications than the UM NSQIP general surgery patients. Despite having a lower risk-adjusted rate of mortality, the UM NSQIP Trauma patients had significantly higher rates of complications (wound infection, wound disruption, pneumonia, urinary tract infection, deep vein thrombosis, and sepsis) than the NTDB (2004) patients in both univariate and multivariate analyses.
CONCLUSION: Complications occurred more frequently in trauma patients than general surgery patients. The UM NSQIP Trauma patients had higher rates of complications than reported in the NTDB. The NTDB data potentially underreport important comorbidity and outcome data. Application of the NSQIP methodology to trauma may present an improved means of effectively tracking and reducing adverse outcomes in a risk-adjusted manner.

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Year:  2007        PMID: 17950334      PMCID: PMC2080842          DOI: 10.1016/j.surg.2007.07.002

Source DB:  PubMed          Journal:  Surgery        ISSN: 0039-6060            Impact factor:   3.982


  14 in total

1.  Quality improvement in cardiac care.

Authors:  Frederick L Grover; Joseph C Cleveland; Laurie W Shroyer
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2.  Quality, advocacy, healthcare policy, and the surgeon.

Authors:  Shukri F Khuri
Journal:  Ann Thorac Surg       Date:  2002-09       Impact factor: 4.330

3.  Overview of trauma registries in the United States.

Authors:  E Garthe
Journal:  J AHIMA       Date:  1997 Jul-Aug

4.  Trauma registry. New computer method for multifactorial evaluation of a major health problem.

Authors:  D R Boyd; R J Lowe; R J Baker; L M Nyhus
Journal:  JAMA       Date:  1973-01-22       Impact factor: 56.272

5.  Report from the 1988 Trauma Registry Workshop, including recommendations for hospital-based trauma registries.

Authors: 
Journal:  J Trauma       Date:  1989-06

6.  Trauma registry databases: a comparison of data abstraction, interpretation, and entry at two level I trauma centers.

Authors:  J L Owen; R M Bolenbaucher; M L Moore
Journal:  J Trauma       Date:  1999-06

7.  The complications of trauma and their associated costs in a level I trauma center.

Authors:  G E O'Keefe; R V Maier; P Diehr; D Grossman; G J Jurkovich; D Conrad
Journal:  Arch Surg       Date:  1997-08

8.  Hospital costs associated with surgical complications: a report from the private-sector National Surgical Quality Improvement Program.

Authors:  Justin B Dimick; Steven L Chen; Paul A Taheri; William G Henderson; Shukri F Khuri; Darrell A Campbell
Journal:  J Am Coll Surg       Date:  2004-10       Impact factor: 6.113

9.  A regional prospective study of in-hospital mortality associated with coronary artery bypass grafting. The Northern New England Cardiovascular Disease Study Group.

Authors:  G T O'Connor; S K Plume; E M Olmstead; L H Coffin; J R Morton; C T Maloney; E R Nowicki; J F Tryzelaar; F Hernandez; L Adrian
Journal:  JAMA       Date:  1991-08-14       Impact factor: 56.272

10.  A regional intervention to improve the hospital mortality associated with coronary artery bypass graft surgery. The Northern New England Cardiovascular Disease Study Group.

Authors:  G T O'Connor; S K Plume; E M Olmstead; J R Morton; C T Maloney; W C Nugent; F Hernandez; R Clough; B J Leavitt; L H Coffin; C A Marrin; D Wennberg; J D Birkmeyer; D C Charlesworth; D J Malenka; H B Quinton; J F Kasper
Journal:  JAMA       Date:  1996-03-20       Impact factor: 56.272

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  13 in total

1.  Denver ED Trauma Organ Failure Score predicts healthcare resource utilization in adult trauma patients.

Authors:  Jody A Vogel; W Gannon Sungar; Dowin Boatright; Jordan Ryan; Benjamin Murphy; Jesse Loar; Sabrina Adams; Jason S Haukoos
Journal:  Am J Emerg Med       Date:  2018-08-30       Impact factor: 2.469

2.  A metric of our own: Failure to rescue after trauma.

Authors:  Daniel N Holena; Elinore J Kaufman; M Kit Delgado; Douglas J Wiebe; Brendan G Carr; Jason D Christie; Patrick M Reilly
Journal:  J Trauma Acute Care Surg       Date:  2017-10       Impact factor: 3.313

3.  The Location and Timing of Failure-to-Rescue Events Across a Statewide Trauma System.

Authors:  Catherine E Sharoky; Niels D Martin; Brian P Smith; Jose L Pascual; Lewis J Kaplan; Patrick M Reilly; Daniel N Holena
Journal:  J Surg Res       Date:  2018-11-26       Impact factor: 2.192

4.  Obesity in pediatric trauma.

Authors:  Cordelie E Witt; Saman Arbabi; Avery B Nathens; Monica S Vavilala; Frederick P Rivara
Journal:  J Pediatr Surg       Date:  2016-11-23       Impact factor: 2.545

Review 5.  Influence of the National Trauma Data Bank on the study of trauma outcomes: is it time to set research best practices to further enhance its impact?

Authors:  Adil H Haider; Taimur Saleem; Jeffrey J Leow; Cassandra V Villegas; Mehreen Kisat; Eric B Schneider; Elliott R Haut; Kent A Stevens; Edward E Cornwell; Ellen J MacKenzie; David T Efron
Journal:  J Am Coll Surg       Date:  2012-02-07       Impact factor: 6.113

6.  Association of venous thromboembolism following pediatric traumatic spinal injuries with injury severity and longer hospital stays.

Authors:  Blake M Hauser; Samantha E Hoffman; Saksham Gupta; Mark M Zaki; Edward Xu; Melissa Chua; Joshua D Bernstock; Ayaz Khawaja; Timothy R Smith; Mark R Proctor; Hasan A Zaidi
Journal:  J Neurosurg Spine       Date:  2021-09-17

7.  Is it time to measure complications from the National Trauma Data Bank? A longitudinal analysis of recent reporting trends.

Authors:  Anamaria J Robles; Amanda S Conroy; Mitchell J Cohen; Rachael A Callcut
Journal:  J Trauma Acute Care Surg       Date:  2019-02       Impact factor: 3.313

8.  Failure to rescue in trauma: Coming to terms with the second term.

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Journal:  Injury       Date:  2015-10-28       Impact factor: 2.586

9.  Real money: complications and hospital costs in trauma patients.

Authors:  Mark R Hemmila; Jill L Jakubus; Paul M Maggio; Wendy L Wahl; Justin B Dimick; Darrell A Campbell; Paul A Taheri
Journal:  Surgery       Date:  2008-08       Impact factor: 3.982

Review 10.  Complication rates as a trauma care performance indicator: a systematic review.

Authors:  Lynne Moore; Henry Thomas Stelfox; Alexis F Turgeon
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