OBJECTIVE: The Trauma Quality Improvement Program has demonstrated existence of significant variations in risk-adjusted mortality across trauma centers. However, it is unknown whether centers with lower mortality rates also have reduced length of stay (LOS), with associated cost savings. We hypothesized that LOS is not primarily determined by unmodifiable factors, such as age and injury severity, but is primarily dependent on the development of potentially preventable complications. METHODS: The National Trauma Data Bank (2002-2006) was used to include patients (older than 16 years) with at least one severe injury (Abbreviated Injury Scale score ≥ 3) from Level I and II trauma centers (217,610 patients, 151 centers). A previously validated risk-adjustment algorithm was used to calculate observed-to-expected mortality ratios for each center. Poisson regression was used to determine the relationship between LOS, observed-to-expected mortality ratios, and complications while controlling for confounding factors, such as age, gender, mechanism, insurance status, comorbidities, and injuries and their severity. RESULTS: Large variations in LOS (median, 4-8 days) were observed across trauma centers. There was no relationship between mortality and LOS. The most important predictor of LOS was complications, which were associated with a 62% increase. Injury severity score, shock, gunshot wounds, brain injuries, intensive care unit admission, and comorbidities were less important predictors of LOS. CONCLUSION: Quality improvement programs focusing on mortality alone may not be associated with reduced LOS. Hence, the Trauma Quality Improvement Program should also focus on processes of care that reduce complications, thereby shortening LOS, which may lead to significant cost savings at trauma centers.
OBJECTIVE: The Trauma Quality Improvement Program has demonstrated existence of significant variations in risk-adjusted mortality across trauma centers. However, it is unknown whether centers with lower mortality rates also have reduced length of stay (LOS), with associated cost savings. We hypothesized that LOS is not primarily determined by unmodifiable factors, such as age and injury severity, but is primarily dependent on the development of potentially preventable complications. METHODS: The National Trauma Data Bank (2002-2006) was used to include patients (older than 16 years) with at least one severe injury (Abbreviated Injury Scale score ≥ 3) from Level I and II trauma centers (217,610 patients, 151 centers). A previously validated risk-adjustment algorithm was used to calculate observed-to-expected mortality ratios for each center. Poisson regression was used to determine the relationship between LOS, observed-to-expected mortality ratios, and complications while controlling for confounding factors, such as age, gender, mechanism, insurance status, comorbidities, and injuries and their severity. RESULTS: Large variations in LOS (median, 4-8 days) were observed across trauma centers. There was no relationship between mortality and LOS. The most important predictor of LOS was complications, which were associated with a 62% increase. Injury severity score, shock, gunshot wounds, brain injuries, intensive care unit admission, and comorbidities were less important predictors of LOS. CONCLUSION: Quality improvement programs focusing on mortality alone may not be associated with reduced LOS. Hence, the Trauma Quality Improvement Program should also focus on processes of care that reduce complications, thereby shortening LOS, which may lead to significant cost savings at trauma centers.
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
Authors: Mazin Omer; Jussi P Posti; Mika Gissler; Marko Merikukka; Ildiko Hoffmann; Till Bärnighausen; Michael Lowery Wilson Journal: Arch Public Health Date: 2022-07-11
Authors: Antti Peltokorpi; Lauri Handolin; Matthias Frank; Paulus Torkki; Gerrit Matthes; Axel Ekkernkamp; Eero Hirvensalo Journal: J Trauma Manag Outcomes Date: 2011-08-03
Authors: Douglas F Zatzick; Joan Russo; Doyanne Darnell; David A Chambers; Lawrence Palinkas; Erik Van Eaton; Jin Wang; Leah M Ingraham; Roxanne Guiney; Patrick Heagerty; Bryan Comstock; Lauren K Whiteside; Gregory Jurkovich Journal: Implement Sci Date: 2016-04-30 Impact factor: 7.327