Literature DB >> 28541852

The Pennsylvania Trauma Outcomes Study Risk-Adjusted Mortality Model: Results of a Statewide Benchmarking Program.

Douglas J Wiebe, Daniel N Holena, M Kit Delgado, Nathan McWilliams, Juliet Altenburg, Brendan G Carr.   

Abstract

Trauma centers need objective feedback on performance to inform quality improvement efforts. The Trauma Quality Improvement Program recently published recommended methodology for case mix adjustment and benchmarking performance. We tested the feasibility of applying this methodology to develop risk-adjusted mortality models for a statewide trauma system. We performed a retrospective cohort study of patients ≥16 years old at Pennsylvania trauma centers from 2011 to 2013 (n = 100,278). Our main outcome measure was observed-to-expected mortality ratios (overall and within blunt, penetrating, multisystem, isolated head, and geriatric subgroups). Patient demographic variables, physiology, mechanism of injury, transfer status, injury severity, and pre-existing conditions were included as predictor variables. The statistical model had excellent discrimination (area under the curve = 0.94). Funnel plots of observed-to-expected identified five centers with lower than expected mortality and two centers with higher than expected mortality. No centers were outliers for management of penetrating trauma, but five centers had lower and three had higher than expected mortality for blunt trauma. It is feasible to use Trauma Quality Improvement Program methodology to develop risk-adjusted models for statewide trauma systems. Even with smaller numbers of trauma centers that are available in national datasets, it is possible to identify high and low outliers in performance.

Entities:  

Mesh:

Year:  2017        PMID: 28541852      PMCID: PMC5852669     

Source DB:  PubMed          Journal:  Am Surg        ISSN: 0003-1348            Impact factor:   0.688


  21 in total

1.  Funnel plots for institutional comparison.

Authors:  D Spiegelhalter
Journal:  Qual Saf Health Care       Date:  2002-12

2.  Funnel plots for comparing institutional performance.

Authors:  David J Spiegelhalter
Journal:  Stat Med       Date:  2005-04-30       Impact factor: 2.373

Review 3.  Regional collaborations as a tool for quality improvements in surgery: a systematic review of the literature.

Authors:  Michael Fung-Kee-Fung; James Watters; Claire Crossley; Elena Goubanova; Arifa Abdulla; Hartley Stern; Thomas K Oliver
Journal:  Ann Surg       Date:  2009-04       Impact factor: 12.969

4.  The Trauma Quality Improvement Program of the American College of Surgeons Committee on Trauma.

Authors:  Shahid Shafi; Avery B Nathens; H Gill Cryer; Mark R Hemmila; Michael D Pasquale; David E Clark; Melanie Neal; Sandra Goble; J Wayne Meredith; John J Fildes
Journal:  J Am Coll Surg       Date:  2009-08-13       Impact factor: 6.113

5.  A review of goodness of fit statistics for use in the development of logistic regression models.

Authors:  S Lemeshow; D W Hosmer
Journal:  Am J Epidemiol       Date:  1982-01       Impact factor: 4.897

6.  Severity-adjusted mortality in trauma patients transported by police.

Authors:  Roger A Band; Rama A Salhi; Daniel N Holena; Elizabeth Powell; Charles C Branas; Brendan G Carr
Journal:  Ann Emerg Med       Date:  2014-01-02       Impact factor: 5.721

7.  Regional collaborative quality improvement for trauma reduces complications and costs.

Authors:  Mark R Hemmila; Anne H Cain-Nielsen; Wendy L Wahl; Wayne E Vander Kolk; Jill L Jakubus; Judy N Mikhail; Nancy J Birkmeyer
Journal:  J Trauma Acute Care Surg       Date:  2015-01       Impact factor: 3.313

8.  When is an elder old? Effect of preexisting conditions on mortality in geriatric trauma.

Authors:  Michael D Grossman; Donna Miller; David W Scaff; Steven Arcona
Journal:  J Trauma       Date:  2002-02

9.  Characteristics and outcomes of injured patients presenting by private vehicle in a state trauma system.

Authors:  Nicholas J Johnson; Brendan G Carr; Rama Salhi; Daniel N Holena; Catherine Wolff; Roger A Band
Journal:  Am J Emerg Med       Date:  2012-09-20       Impact factor: 2.469

10.  Trauma fatalities: time and location of hospital deaths.

Authors:  Demetrios Demetriades; James Murray; Kiriakos Charalambides; Kathy Alo; George Velmahos; Peter Rhee; Linda Chan
Journal:  J Am Coll Surg       Date:  2004-01       Impact factor: 6.113

View more
  7 in total

1.  Measuring Emergency Care Survival: The Implications of Risk-Adjusting for Race and Poverty.

Authors:  Kimon L H Ioannides; Avi Baehr; David N Karp; Douglas J Wiebe; Brendan G Carr; Daniel N Holena; M Kit Delgado
Journal:  Acad Emerg Med       Date:  2018-05-31       Impact factor: 3.451

2.  Social determinants of health and patient-level mortality prediction after trauma.

Authors:  Heather M Phelos; Nicolas M Kass; Andrew-Paul Deeb; Joshua B Brown
Journal:  J Trauma Acute Care Surg       Date:  2022-02-01       Impact factor: 3.697

3.  Beyond survival: the broader consequences of prehospital transport by police for penetrating trauma.

Authors:  Sara F Jacoby; Charles C Branas; Daniel N Holena; Elinore J Kaufman
Journal:  Trauma Surg Acute Care Open       Date:  2020-11-26

4.  Developing a measure of overall intensity of injury care: A latent class analysis.

Authors:  Alexis M Zebrowski; Jesse Y Hsu; Daniel N Holena; Douglas J Wiebe; Brendan G Carr
Journal:  J Trauma Acute Care Surg       Date:  2022-01-01       Impact factor: 3.697

5.  The Short and the Long of it: Timing of Mortality for Older Adults in a State Trauma System.

Authors:  Elinore J Kaufman; Alexis M Zebrowski; Daniel N Holena; Phillipe Loher; Douglas J Wiebe; Brendan G Carr
Journal:  J Surg Res       Date:  2021-07-16       Impact factor: 2.192

6.  The impact of interhospital transfer on mortality benchmarking at Level III and IV trauma centers: A step toward shared mortality attribution in a statewide system.

Authors:  Daniel N Holena; Elinore J Kaufman; Justin Hatchimonji; Brian P Smith; Ruiying Xiong; Thomas E Wasser; M Kit Delgado; Douglas J Wiebe; Brendan G Carr; Patrick M Reilly
Journal:  J Trauma Acute Care Surg       Date:  2020-01       Impact factor: 3.697

7.  Rising incidence of interpersonal violence in Pennsylvania during COVID-19 stay-at home order.

Authors:  Asanthi M Ratnasekera; Sirivan S Seng; Christina L Jacovides; Ryann Kolb; Alexandra Hanlon; Stanislaw P Stawicki; Niels D Martin; Elinore J Kaufman
Journal:  Surgery       Date:  2021-06-23       Impact factor: 3.982

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.