TY - JOUR
T1 - Is there a “weekend effect” in emergency general surgery?
AU - Metcalfe, David
AU - Castillo-Angeles, Manuel
AU - Rios-Diaz, Arturo J.
AU - Havens, Joaquim M.
AU - Haider, Adil
AU - Salim, Ali
N1 - Publisher Copyright:
© 2017 Elsevier Inc.
PY - 2018/2
Y1 - 2018/2
N2 - Background Weekend admission is associated with increased mortality across a range of patient populations and health-care systems. The aim of this study was to determine whether weekend admission is independently associated with serious adverse events (SAEs), in-hospital mortality, or failure to rescue (FTR) in emergency general surgery (EGS). Methods An observational study was performed using the National Inpatient Sample in 2012-2013; the largest all-payer inpatient database in the United States, which represents a 20% stratified sample of hospital discharges. The inclusion criteria were all inpatients with a primary EGS diagnosis. Outcomes were SAE, in-hospital mortality, and FTR (in-hospital mortality in the population of patients that developed an SAE). Multivariable logistic regression were used to adjust for patient- (age, sex, race, payer status, and Charlson comorbidity index) and hospital-level (trauma designation and hospital bed size) characteristics. Results There were 1,344,828 individual patient records (6.7 million weighted admissions). The overall rate of SAE was 15.1% (15.1% weekend, 14.9% weekday, P < 0.001), FTR 5.9% (6.2% weekend, 5.9% weekday, P = 0.010), and in-hospital mortality 1.4% (1.5% weekend, 1.3% weekday, P < 0.001). Within logistic regression models, weekend admission was an independent risk factor for development of SAE (adjusted odds ratio 1.08, 1.07-1.09), FTR (1.05, 1.01-1.10), and in-hospital mortality (1.14, 1.10-1.18). Conclusions This study found evidence that outcomes coded in an administrative data set are marginally worse for EGS patients admitted at weekends. This justifies further work using clinical data sets that can be used to better control for differences in case mix.
AB - Background Weekend admission is associated with increased mortality across a range of patient populations and health-care systems. The aim of this study was to determine whether weekend admission is independently associated with serious adverse events (SAEs), in-hospital mortality, or failure to rescue (FTR) in emergency general surgery (EGS). Methods An observational study was performed using the National Inpatient Sample in 2012-2013; the largest all-payer inpatient database in the United States, which represents a 20% stratified sample of hospital discharges. The inclusion criteria were all inpatients with a primary EGS diagnosis. Outcomes were SAE, in-hospital mortality, and FTR (in-hospital mortality in the population of patients that developed an SAE). Multivariable logistic regression were used to adjust for patient- (age, sex, race, payer status, and Charlson comorbidity index) and hospital-level (trauma designation and hospital bed size) characteristics. Results There were 1,344,828 individual patient records (6.7 million weighted admissions). The overall rate of SAE was 15.1% (15.1% weekend, 14.9% weekday, P < 0.001), FTR 5.9% (6.2% weekend, 5.9% weekday, P = 0.010), and in-hospital mortality 1.4% (1.5% weekend, 1.3% weekday, P < 0.001). Within logistic regression models, weekend admission was an independent risk factor for development of SAE (adjusted odds ratio 1.08, 1.07-1.09), FTR (1.05, 1.01-1.10), and in-hospital mortality (1.14, 1.10-1.18). Conclusions This study found evidence that outcomes coded in an administrative data set are marginally worse for EGS patients admitted at weekends. This justifies further work using clinical data sets that can be used to better control for differences in case mix.
KW - Acute care surgery
KW - Emergency general surgery
KW - Weekend effect
UR - http://www.scopus.com/inward/record.url?scp=85038830776&partnerID=8YFLogxK
U2 - 10.1016/j.jss.2017.10.019
DO - 10.1016/j.jss.2017.10.019
M3 - Article
C2 - 29273370
AN - SCOPUS:85038830776
SN - 0022-4804
VL - 222
SP - 219
EP - 224
JO - Journal of Surgical Research
JF - Journal of Surgical Research
ER -