Effect of Transfer Status on Outcomes of Emergency General Surgery Patients.

INTRODUCTION

Transferred emergency general surgery (EGS) patients are a vulnerable, high acuity population. The outcomes of and health care utilization among transferred (TRAN) as compared to directly admitted (DA) patients have been studied primarily using single institution or hospital system data which limits generalizability. We evaluated these outcomes among EGS patients using a national database.

METHODS

We identified encounters of patients aged ≥18 years with a diagnosis of EGS as defined by the American Association for the Surgery of Trauma in the 2008-2011 Nationwide Inpatient Sample (NIS). Multivariable regression analyses determined if transfer status independently predicted in-hospital mortality (logistic regression) and morbidity (presence of any complication among those who survived to discharge; logistic regression), cost (log-linear regression), and duration of stay (among those who survived to discharge; log-linear regression) accounting for the NIS sampling design.

RESULTS

We identified 274,145 TRAN (57,885 unweighted) and 10,456,100 DA (2,187,132 unweighted) encounters. On univariate analysis, TRAN patients were more likely to have greater comorbidity scores, have Medicare insurance, and reside in an area with a lesser median household income compared to DA patients (p<0.0001). Mortality was greater in the TRAN vs DA groups (4.4% vs 1.6%; p<0.0001). Morbidity (presence of any complication) was also greater among TRAN patients (38.8% vs 26.1%; p<0.0001). Morbidity among TRAN patients was primarily due to urinary- (13.7%), gastrointestinal- (12.9%), and pulmonary-related (13.3%) complications. Median duration of hospital stay was 4.3 days for TRAN vs 3.0 days for DA (p<0.0001) patients. Median cost was greater for TRAN patients ($8,935 vs $7,167; p<0.0001). Regression analyses determined that after adjustment, TRAN patients had statistically significantly greater mortality, morbidity, and cost as well as longer durations of stay.

CONCLUSIONS

EGS patients who are transferred experience increased in-hospital morbidity and mortality as well as increased durations of stay and cost. As the population and age of patients diagnosed with EGS conditions increase while the EGS workforce decreases, the need for inter-hospital transfers will increase. Identifying risk factors associated with worse outcomes among transferred patients can inform the design of initiatives in performance improvement and direct the finite resources available to this vulnerable patient population.