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The Pennsylvania Trauma Outcomes Study Risk-Adjusted Mortality Model: Results of a Statewide Benchmarking Program. Am Surg 2017 May 01;83(5):445-452

Date

05/26/2017

Pubmed ID

28541852

Pubmed Central ID

PMC5852669

Scopus ID

2-s2.0-85020066749 (requires institutional sign-in at Scopus site)   17 Citations

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.

Author List

Wiebe DJ, Holena DN, Delgado MK, McWilliams N, Altenburg J, Carr BG

Author

Daniel N. Holena MD Professor in the Surgery department at Medical College of Wisconsin




MESH terms used to index this publication - Major topics in bold

Adult
Age Factors
Aged
Aged, 80 and over
Benchmarking
Female
Humans
Male
Middle Aged
Pennsylvania
Quality Improvement
Retrospective Studies
Risk Assessment
Survival Analysis
Trauma Centers
Wounds and Injuries
Young Adult