Outcomes in surgery for ovarian cancer.
OBJECTIVE
Theobjective was to determine the relationship among hospital volume of ovarian cancer surgery,academic status of institution, surgical specialty, and outcomes of care (30-day postoperative mortality, reoperation rate, and overall survival).


METHODS
This population-based cohort study included all newly diagnosed ovarian cancer patients treated from 1992 to 1998 in Ontario, Canada. Hospitalization and surgical billing databases were used. Logistic regression was used to evaluate the importance of hospital type, hospital volume, surgical specialty, and surgeon volume of ovarian cancer operations on postoperative mortality, reoperation rates, and survival.


RESULTS
Ovarian cancer surgery was performed on 3815 women between April 1992 and March 1998. When adjusted for age, comorbidity, acuity of the operation, and metastatic disease, no factors influenced postoperative mortality. The adjusted relative risk for reoperation within 3 months of the initial surgery showed that patients were less likely to have a repeat operation if the initial operation was done in a high- or intermediate-volume hospital (RR 0.24 95% CI 0.12-0.48, RR 0.29 95% CI 0.20-0.42, respectively), a hospital with a gynecologic oncologist (RR 0.29 95% CI 0.15-0.56), by a gynecologic oncologist (RR 0.04 95% CI 0.01-0.12) or gynecologist (RR 0.37 95% CI 0.21-0.66), or by a high-volume surgeon (RR 0.09 95% CI 0.03-0.23). The adjusted survival was improved if the initial surgery was done by a gynecologic oncologist (HR 0.70 95% CI 0.57-0.85) or gynecologist (HR 0.65 95% CI 0.53-0.79).


CONCLUSIONS
There is a relationship between hospital volume and reoperation rate. Institution type only influenced reoperation rate. Statistically significant associations were found between surgical specialty and all three outcome variables. The volume of surgery performed by an individual surgeon only influenced reoperation rate. Our results are preliminary but support the need for further studies examining factors such as stage.
Elit
L
L
Department of Clinical Epidemiology and Biostatistics, McMaster University, Hamilton, Ontario, Canada. laurie.elit@hrcc.on.ca
Bondy
S J
SJ
Paszat
L
L
Przybysz
R
R
Levine
M
M
D000368:Aged; D015331:Cohort Studies; D005260:Female; D013509:Gynecologic Surgical Procedures / Q000592:standards / Q000706:statistics & numerical data; D006801:Humans; D016015:Logistic Models; D008875:Middle Aged; D009864:Ontario / Q000453:epidemiology; D010051:Ovarian Neoplasms / Q000401:mortality / Q000601:surgery*; D015996:Survival Rate; D016896:Treatment Outcome