Department of Radiation Oncology, Institute of Oncology Ljubljana, Zaloška cesta 2, 1000, Ljubljana, Slovenia.
Department of Epidemiology and Cancer Registry, Institute of Oncology Ljubljana, Zaloška cesta 2, Ljubljana, Slovenia.
Breast Cancer Res Treat. 2019 Jun;175(3):585-594. doi: 10.1007/s10549-019-05186-z. Epub 2019 Mar 7.
To assess and explain variation in quality of care in breast cancer patients and estimate its impact on disease outcome.
The Slovenian National Cancer Registry database and clinical records of 1053 women with unilateral primarily non-metastatic invasive breast cancer diagnosed in 2013 were reviewed in this retrospective analysis. Quality care was defined as care fully compliant with quality indicators (QI) defined by European Society of Breast Cancer Specialists (EUSOMA). Multivariate logistic regression was used to determine the predictors of receiving quality care. Differences in overall survival (OS) and event-free survival (EFS, relapse, or progression of disease or death considered an event) based on adherence to QI were analyzed using Kaplan-Meier method and Cox models.
Younger age, no comorbidities, and HER2-negative tumor were associated with increased odds ratios for receiving quality care, whereas tumor stage and type of hospital had no significant association. Median follow-up was 54.5 months. Not receiving quality care resulted in an increased risk of dying [hazard ratio (HR) 1.68; 95% confidence interval (CI) 1.06-2.66; p = 0.026]. Difference in EFS between two groups was significant after adjusting for case mix and type of hospital (HR 1.80; 95% CI 1.29-2.52; p = 0.001) but disappeared when type of treatment was added into the model (HR 1.30; 95% CI 0.89-1.90; p = 0.178).
Observed comorbidity and age bias in delivering quality breast cancer care could be medically justifiable, whereas observed deviations dependent on HER2 status are puzzling. Complete adherence of treatment to quality indicators resulted in better OS.
评估和解释乳腺癌患者护理质量的差异,并估计其对疾病结局的影响。
本回顾性分析使用了斯洛文尼亚国家癌症登记处数据库和 2013 年诊断的 1053 例单侧原发性非转移性浸润性乳腺癌女性的临床记录。高质量的护理被定义为完全符合欧洲乳腺肿瘤专家学会(EUSOMA)定义的质量指标(QI)。多变量逻辑回归用于确定接受高质量护理的预测因素。使用 Kaplan-Meier 方法和 Cox 模型分析基于 QI 依从性的总生存(OS)和无事件生存(EFS,复发、疾病进展或死亡视为事件)差异。
年龄较小、无合并症和 HER2 阴性肿瘤与接受高质量护理的比值比增加相关,而肿瘤分期和医院类型则没有显著关联。中位随访时间为 54.5 个月。未接受高质量护理的患者死亡风险增加[风险比(HR)1.68;95%置信区间(CI)1.06-2.66;p=0.026]。在调整病例组合和医院类型后,两组之间的 EFS 差异具有统计学意义(HR 1.80;95% CI 1.29-2.52;p=0.001),但当加入治疗类型时,差异消失(HR 1.30;95% CI 0.89-1.90;p=0.178)。
在提供高质量乳腺癌护理方面观察到的合并症和年龄偏见可能在医学上是合理的,而观察到的依赖于 HER2 状态的偏差则令人费解。完全遵守治疗质量指标可提高 OS。