title: The impact of interhospital transfers on surgical quality metrics for academic medical centers.
abstract: The emergence of pay-for-performance systems pose a risk to an academic medical center's (AMC) mission to provide care for interhospital surgical transfer patients. This study examines quality metrics and resource consumption for a sample of these patients from the University Health System Consortium (UHC) and our Department of Surgery (DOS). Standard benchmarks, including mortality rate, length of stay (LOS), and cost, were used to evaluate the impact of interhospital surgical transfers versus direct admission (DA) patients from January 2010 to December 2012. For 1,423,893 patients, the case mix index for transfer patients was 38 per cent (UHC) and 21 per cent (DOS) greater than DA patients. Mortality rates were 5.70 per cent (UHC) and 6.93 per cent (DOS) in transferred patients compared with 1.79 per cent (UHC) and 2.93 per cent (DOS) for DA patients. Mean LOS for DA patients was 4 days shorter. Mean total costs for transferred patients were greater $13,613 (UHC) and $13,356 (DOS). Transfer patients have poorer outcomes and consume more resources than DA patients. Early recognition and transfer of complex surgical patients may improve patient rescue and decrease resource consumption. Surgeons at AMCs and in the community should develop collaborative programs that permit collective assessment and decision-making for complicated surgical patients.
authors.affiliation: Department of Surgery, University of Florida, Gainesville, Florida, USA.
authors.forename: Cristina J
authors.initials: CJ
authors.lastname: Crippen
authors.forename: Steven J
authors.initials: SJ
authors.lastname: Hughes
authors.forename: Sugong
authors.initials: S
authors.lastname: Chen
authors.forename: Kevin E
authors.initials: KE
authors.lastname: Behrns
mesh_terms: D000046:Academic Medical Centers / Q000191:economics / Q000458:organization & administration / Q000592:standards*; D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D019985:Benchmarking; D003953:Diagnosis-Related Groups; D005260:Female; D017721:Hospital Costs / Q000706:statistics & numerical data*; D017052:Hospital Mortality; D006801:Humans; D007902:Length of Stay / Q000191:economics / Q000706:statistics & numerical data; D016014:Linear Models; D008297:Male; D008875:Middle Aged; D010043:Outcome and Process Assessment, Health Care; D010343:Patient Admission / Q000191:economics / Q000706:statistics & numerical data; D010360:Patient Transfer / Q000191:economics / Q000706:statistics & numerical data; D012052:Reimbursement, Incentive; D012720:Severity of Illness Index; D013503:Surgery Department, Hospital / Q000191:economics / Q000458:organization & administration / Q000592:standards*; D014481:United States; D055815:Young Adult