TY - JOUR
T1 - Evaluation of readmissions due to surgical site infections
T2 - A potential target for quality improvement
AU - Shah, Romil
AU - Pavey, Emily
AU - Ju, Mila
AU - Merkow, Ryan
AU - Rajaram, Ravi
AU - Wandling, Michael W.
AU - Cohen, Mark E.
AU - Dahlke, Allison
AU - Yang, Anthony
AU - Bilimoria, Karl
N1 - Publisher Copyright:
© 2017 Elsevier Inc.
PY - 2017/11
Y1 - 2017/11
N2 - Introduction: Readmissions have become a focus of pay-for-performance programs. Surgical site infections (SSI) are the reason for most readmissions. Readmissions for SSI could be a unique target for quality improvement. Methods: Readmission risk for SSI were evaluated for patients undergoing colectomies from 2013 to 2014. Hazard models were developed to examine factors associated with and hospital-level variation in risk-adjusted rates of readmission for SSI. Results: Among 59,088 patients at 525 hospitals, the rate of readmissions for SSI ranged from 1.45% to 6.34%. Characteristics associated with a greater likelihood of SSI readmissions include male gender, smoking, open surgery and hospitals with increased socioeconomically-disadvantaged patients. After risk adjustment, there was little correlation between hospital performance with SSI readmission rate and performance with overall SSI or total readmission rate (r2 = 0.29, r2 = 0.14). Conclusions: Readmission for SSI represents a unique aspect of quality beyond that offered by measuring only SSI or readmission rates alone, and may provide actionable quality improvement.
AB - Introduction: Readmissions have become a focus of pay-for-performance programs. Surgical site infections (SSI) are the reason for most readmissions. Readmissions for SSI could be a unique target for quality improvement. Methods: Readmission risk for SSI were evaluated for patients undergoing colectomies from 2013 to 2014. Hazard models were developed to examine factors associated with and hospital-level variation in risk-adjusted rates of readmission for SSI. Results: Among 59,088 patients at 525 hospitals, the rate of readmissions for SSI ranged from 1.45% to 6.34%. Characteristics associated with a greater likelihood of SSI readmissions include male gender, smoking, open surgery and hospitals with increased socioeconomically-disadvantaged patients. After risk adjustment, there was little correlation between hospital performance with SSI readmission rate and performance with overall SSI or total readmission rate (r2 = 0.29, r2 = 0.14). Conclusions: Readmission for SSI represents a unique aspect of quality beyond that offered by measuring only SSI or readmission rates alone, and may provide actionable quality improvement.
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U2 - 10.1016/j.amjsurg.2017.04.011
DO - 10.1016/j.amjsurg.2017.04.011
M3 - Article
C2 - 28637590
AN - SCOPUS:85020494574
SN - 0002-9610
VL - 214
SP - 773
EP - 779
JO - American journal of surgery
JF - American journal of surgery
IS - 5
ER -