Volume-outcome relationship in pancreatic surgery.
BACKGROUND
Volume-outcome relationships related to major surgery may be of limited value if observation ends at the point of discharge without taking transfers and later events into consideration.


METHODS
The volume-outcome relationship in patients who underwent pancreatic surgery between 2008 and 2010 was assessed using claims data for all inpatient episodes from Germany's largest provider of statutory health insurance covering about 30 per cent of the population. Multiple logistic regression models with random effects were used to analyse the effect of hospital volume (using volume quintiles) on 1-year mortality, adjusting for age, sex, primary disease, type of surgery and co-morbidities. Additional outcomes were in-hospital (including transfer to other hospitals until final discharge) and 90-day mortality.


RESULTS
Of 9566 patients identified, risk-adjusted 1-year mortality was significantly higher in the three lowest-volume quintiles compared with the highest-volume quintile (odds ratio 1·73, 1·53 and 1·37 respectively). A similar, but less pronounced, effect was demonstrated for in-hospital and 90-day mortality. The effect of hospital volume on 1-year mortality was comparable to the effect of co-morbid conditions such as renal failure.


CONCLUSIONS
Although mortality related to pancreatic surgery is influenced by many factors, this study demonstrated lower mortality at 1 year in high-volume centres in Germany.
Department of General, Thoracic, Vascular and Transplantation Surgery, University of Rostock, Rostock, Germany.
G
G
Alsfasser
Research Institute of the Local Health Care Funds (AOK), Berlin, Germany.
H
H
Leicht
Research Institute of the Local Health Care Funds (AOK), Berlin, Germany.
C
C
Günster
Department of General, Thoracic, Vascular and Transplantation Surgery, University of Rostock, Rostock, Germany.
B M
BM
Rau
Federal Association of the AOK, Berlin, Germany.
G
G
Schillinger
Department of General, Thoracic, Vascular and Transplantation Surgery, University of Rostock, Rostock, Germany.
E
E
Klar
D000368:Aged; D016208:Databases, Factual; D005260:Female; D005500:Follow-Up Studies; D005858:Germany; D017052:Hospital Mortality; D061847:Hospitals, High-Volume / Q000706:statistics & numerical data; D061846:Hospitals, Low-Volume / Q000706:statistics & numerical data; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D017063:Outcome Assessment, Health Care; D010180:Pancreatectomy / Q000401:mortality*; D010351:Patient Discharge / Q000706:statistics & numerical data; D010360:Patient Transfer / Q000706:statistics & numerical data; D020379:Risk Adjustment