BACKGROUND: We used data from the Patient Safety in Surgery Study to compare patient populations, operative characteristics, and unadjusted and risk-adjusted 30-day postoperative mortality and morbidity between the Veterans Affairs (VA) (n = 94,098) and private (n = 18,399) sectors for general surgery operations in men. STUDY DESIGN: This is a prospective cohort study. Trained nurses collected preoperative risk factors, operative variables, and 30-day postoperative mortality and morbidity outcomes in male patients undergoing major general surgery operations at 128 VA medical centers and 14 university medical centers from October 1, 2001, to September 30, 2004. Multiple logistic regression analysis was used to identify preoperative predictors of postoperative mortality and morbidity. An indicator variable for VA versus private-sector medical center was added to the model to determine if risk-adjusted outcomes were significantly different in the two systems. RESULTS: The unadjusted 30-day mortality rate was higher in the VA compared with the private sector (2.62% versus 2.03%, p = 0.0002); unadjusted morbidity rate was lower in the VA compared with the private sector (12.24% versus 13.99%, p < 0.0001). After risk adjustment, odds ratio for mortality for the VA versus private sector was 1.23 (95% CI, 1.08-1.41). For morbidity after risk adjustment, the indicator variable for health-care system just missed statistical significance (p = 0.0585). Thirty-day postoperative mortality was comparable in the VA and private sector for very common operations but was higher in the VA for less common, more complex operations. CONCLUSIONS: In general surgery operations in men, the VA appeared to have a higher risk-adjusted mortality rate compared with the private sector, but differences in mortality ascertainment in the two sectors might account for some of this effect. The higher mortality in the VA could be the result of higher mortality in the less common, more complex operations. There is a trend toward lower risk-adjusted morbidity in the VA compared with the private sector.
BACKGROUND: We used data from the Patient Safety in Surgery Study to compare patient populations, operative characteristics, and unadjusted and risk-adjusted 30-day postoperative mortality and morbidity between the Veterans Affairs (VA) (n = 94,098) and private (n = 18,399) sectors for general surgery operations in men. STUDY DESIGN: This is a prospective cohort study. Trained nurses collected preoperative risk factors, operative variables, and 30-day postoperative mortality and morbidity outcomes in male patients undergoing major general surgery operations at 128 VA medical centers and 14 university medical centers from October 1, 2001, to September 30, 2004. Multiple logistic regression analysis was used to identify preoperative predictors of postoperative mortality and morbidity. An indicator variable for VA versus private-sector medical center was added to the model to determine if risk-adjusted outcomes were significantly different in the two systems. RESULTS: The unadjusted 30-day mortality rate was higher in the VA compared with the private sector (2.62% versus 2.03%, p = 0.0002); unadjusted morbidity rate was lower in the VA compared with the private sector (12.24% versus 13.99%, p < 0.0001). After risk adjustment, odds ratio for mortality for the VA versus private sector was 1.23 (95% CI, 1.08-1.41). For morbidity after risk adjustment, the indicator variable for health-care system just missed statistical significance (p = 0.0585). Thirty-day postoperative mortality was comparable in the VA and private sector for very common operations but was higher in the VA for less common, more complex operations. CONCLUSIONS: In general surgery operations in men, the VA appeared to have a higher risk-adjusted mortality rate compared with the private sector, but differences in mortality ascertainment in the two sectors might account for some of this effect. The higher mortality in the VA could be the result of higher mortality in the less common, more complex operations. There is a trend toward lower risk-adjusted morbidity in the VA compared with the private sector.
Authors: Major K Lee; Russell S Lewis; Steven M Strasberg; Bruce L Hall; John D Allendorf; Joal D Beane; Stephen W Behrman; Mark P Callery; John D Christein; Jeffrey A Drebin; Irene Epelboym; Jin He; Henry A Pitt; Emily Winslow; Christopher Wolfgang; Charles M Vollmer Journal: HPB (Oxford) Date: 2014-06-16 Impact factor: 3.647
Authors: Claire O'Hanlon; Christina Huang; Elizabeth Sloss; Rebecca Anhang Price; Peter Hussey; Carrie Farmer; Courtney Gidengil Journal: J Gen Intern Med Date: 2016-07-15 Impact factor: 5.128
Authors: Chad G Ball; Henry A Pitt; Molly E Kilbane; Elijah Dixon; Francis R Sutherland; Keith D Lillemoe Journal: HPB (Oxford) Date: 2010-09 Impact factor: 3.647
Authors: Paymon M Azizi; Duminda N Wijeysundera; Harindra C Wijeysundera; Peter C Austin; Angela Jerath; Lu Han; Maria Koh; Dennis T Ko Journal: CJC Open Date: 2021-03-26
Authors: Henry A Pitt; Molly Kilbane; Steven M Strasberg; Timothy M Pawlik; Elijah Dixon; Nicholas J Zyromski; Thomas A Aloia; J Michael Henderson; Sean J Mulvihill Journal: HPB (Oxford) Date: 2009-08 Impact factor: 3.647
Authors: Jordan M Cloyd; Yifei Ma; John M Morton; Manjula Kurella Tamura; George A Poultsides; Brendan C Visser Journal: J Gastrointest Surg Date: 2013-11-16 Impact factor: 3.452