2009
DOI: 10.1016/j.jamcollsurg.2009.07.001
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The Trauma Quality Improvement Program of the American College of Surgeons Committee on Trauma

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Cited by 160 publications
(121 citation statements)
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“…26 Reliability of the data is ensured through intensive training mechanisms for the abstractors and interrater reliability audits of the participating sites. 27 The inclusion criteria for entry into TQIP require at least one valid trauma International Statistical Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) code in the range of 800-959, excluding the late effects of trauma (905-909). 26 Although the ACS administers the program, the authors of this study are solely responsible for the analyses and conclusions presented here.…”
Section: Data Sourcementioning
confidence: 99%
“…26 Reliability of the data is ensured through intensive training mechanisms for the abstractors and interrater reliability audits of the participating sites. 27 The inclusion criteria for entry into TQIP require at least one valid trauma International Statistical Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) code in the range of 800-959, excluding the late effects of trauma (905-909). 26 Although the ACS administers the program, the authors of this study are solely responsible for the analyses and conclusions presented here.…”
Section: Data Sourcementioning
confidence: 99%
“…10 However, the way in which these guidelines are implemented varies, leading to differences in outcome across Level I and Level II centers. 33 This variation has given the committee's Trauma Quality Improvement Program an opportunity to explore differences in the processes of care that might affect outcomes. The program has implemented a system of confidential reports that are used by an increasing number of trauma centers to compare their outcomes to national mortality benchmarks.…”
Section: 3132mentioning
confidence: 99%
“…Conversely, "high outliers" -physicians and hospitals with wait times that were significantly longer than average -were those with lower limits of their 95% CI wait time greater than 0. 45,46 To validate the effect of individual physicians and hospitals on variability in wait times, we reran the 3-level hierarchical regression model with clinical outcomes (30-d mortality, surgical complications) and medical costs in place of wait times (Appendix 1D).All analyses were performed on linked, coded data at the Institute for Clinical Evaluative Sciences using SAS software (SAS version 9.3, SAS Institute), and we set type I error probability to 0.05. We excluded patients with missing data (< 1% for all variables considered [ Table 1]) from the regression models.…”
mentioning
confidence: 99%