Factors Associated With Pattern of Care Before Surgery for Breast Cancer in Quebec Between 1992 and 1997
Bibliographic Data
| ID | 9103567 |
|---|---|
| Authors | Ningyan Shen (McGill University, corresponding author), Nancy E Mayo (0000-0003-2066-7120, McGill University, corresponding author), Susan C Scott (0000-0002-1797-1685, McGill University Health Centre, corresponding author), James A Hanley (0000-0003-3486-5291, McGill University Health Centre, corresponding author), Milton S Goldberg (0000-0002-5256-4508, McGill University Health Centre, corresponding author), Mark S Goldberg, Michal Abrahamowicz (0000-0002-3172-3952, McGill University, corresponding author), Robyn Tamblyn (0000-0003-0134-6954, McGill University, corresponding author) |
| Year | 2003 |
| Volume | 41 |
| Issue | 12 |
| Pages | 1353-1366 |
| Publication date | 2003-12-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Medical Care (JOURNAL) |
| Journal identifiers | ISSN: 0025-7079 • E-ISSN: 1537-1948 |
| Publisher | Ovid Technologies (Wolters Kluwer Health) (PUBLISHER) |
| DOI | 10.1097/01.mlr.0000100581.88722.6c |
| PMID | 14668668 |
| OpenAlex | W2055963644 |
| Language | EN |
| Citations received | 1 |
| References cited | 17 |
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. OBJECTIVES: 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. RESEARCH DESIGN: 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. CONCLUSION: 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
Breast cancer · Breast surgery · Cancer · Comorbidity · General surgery · Logistic regression · Multilevel model · Psychological intervention · Breast Cancer Treatment Studies · Global Cancer Incidence and Screening · Healthcare Operations and Scheduling Optimization · Internal Medicine · Medicine · Nursing · Surgery
Presentation adapting a clinical comorbidity index for use with ICD-9-CM administrative data
Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases
Improved Approximations for Multilevel Models with Binary Responses
Influence of "diagnostic delay" upon cancer survival
Registries and Administrative Data
| Citations per year | 0.05 |
|---|---|
| Citation span | 2006 - 2006 (1) |
| Highly cited | No |