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Factors associated with pattern of care before surgery for breast cancer in Quebec between 1992 and 1997.

机译:1992年至1997年间魁北克乳腺癌手术前护理模式相关的因素。

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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.
机译:背景:乳腺癌的实践指南强调了使用最少数量的程序来建立准确诊断并选择最佳治疗方案的重要性。了解等待时间的决定因素对于制定最佳干预措施以减少延迟至关重要。目的:本研究的目的是估计与女性,提供者以及与护理环境。研究设计:在1992年至1997年之间,为魁北克省的23,370名接受乳腺癌手术的妇女获得了医生的有偿服务索赔记录。多级Logistic回归用于确定手术前有多个程序的预测因素。分层线性回归模型用于识别等待时间的预测因素,分别针对有淋巴结受累和无淋巴结受累的女性。结果:总体而言,有23%的女性在手术前进行了3次或更多次手术,各医院和外科医生之间均存在显着差异。程序数量是等待时间的有力预测指标。轮候时间也随阶段,年龄,合并症,良性疾病史,手术环境,日历时间,初始手术月份以及医院教学状况而异。结论:尽管等待时间的变异性受女性特征的影响更大,而不是受医生或医院相关因素的影响,但大多数变异仍无法解释。为了减少总的等待时间,需要系统地应用策略。

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