Factors associated with pattern of care before surgery for breast cancer in Quebec between 1992 and 1997.
BACKGROUND
Practice guidelines for breast cancer emphasize the importance of establishing an accurate diagnosis using a minimum number of procedures and selecting optimal treatment regimens. Understanding the determinants of waiting time is essential to develop optimum interventions to reduce delay.


OBJECTIVE
The purpose of this study is to estimate the extent to which variability in 1) the number of procedures before surgery and 2) waiting time from initial procedure to surgery are explainable by factors related to the woman, to the provider, and to the care setting.


METHODS
Records of physicians' fee-for-service claims were obtained for 23,370 women undergoing breast cancer surgery in Quebec between 1992 and 1997. Multilevel logistic regression was used to determine predictors of having multiple procedures before surgery. Hierarchical linear regression models were used to identify predictors of waiting time, separately for women with lymph node involvement and without this involvement.


RESULTS
Overall, 23% of the women had 3 or more procedures before surgery with significant variation found across hospitals and surgeons. Number of procedures was a strong predictor of waiting time. Waiting time also varied by stage, age, comorbidity, a history of benign disease, surgical setting, calendar time, month of initial procedure, and hospital teaching status.


CONCLUSIONS
Although variability in waiting time was more strongly influenced by the characteristics of the women rather than by physician- or hospital-related factors, most variation remained unexplained by the factors included in this study. To reduce overall waiting time, strategies would need to be systemically applied.
Shen
Ningyan
N
Division of Clinical Epidemiology, McGill University Health Center, Montreal, Quebec, Canada.
Mayo
Nancy E
NE
Scott
Susan C
SC
Hanley
James A
JA
Goldberg
Mark S
MS
Abrahamowicz
Michal
M
Tamblyn
Robyn
R
D000328:Adult; D000368:Aged; D001943:Breast Neoplasms / Q000175:diagnosis* / Q000453:epidemiology / Q000601:surgery; D015897:Comorbidity; D003954:Diagnostic Services / Q000191:economics / Q000706:statistics & numerical data*; D018588:Fee-for-Service Plans / Q000706:statistics & numerical data; D005260:Female; D019983:Guideline Adherence / Q000592:standards; D006302:Health Services Research; D006742:Hospital Bed Capacity / Q000706:statistics & numerical data; D006801:Humans; D007344:Insurance Claim Reporting / Q000706:statistics & numerical data; D016014:Linear Models; D016015:Logistic Models; D008408:Mastectomy; D008875:Middle Aged; D015999:Multivariate Analysis; D018579:Patient Selection; D017410:Practice Guidelines as Topic; D010818:Practice Patterns, Physicians' / Q000458:organization & administration / Q000706:statistics & numerical data*; D011237:Predictive Value of Tests; D011300:Preoperative Care / Q000379:methods / Q000592:standards*; D011792:Quebec / Q000453:epidemiology; D012959:Socioeconomic Factors; D014850:Waiting Lists