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Explaining variation in quality of breast cancer care and its impact: a nationwide population-based study from Slovenia

机译:解释乳腺癌护理质量的变化及其影响:斯洛文尼亚的全国范围内的研究

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PurposeTo assess and explain variation in quality of care in breast cancer patients and estimate its impact on disease outcome.MethodsThe 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.ResultsYounger 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).ConclusionObserved 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.
机译:Purposeto评估和解释乳腺癌患者的护理质量的变化,并估计其对疾病的影响。在这回顾性中审查了2013年诊断出来的1053名妇女的斯洛文尼亚国家癌症登记数据库和临床记录,在2013年诊断出来诊断出来的单方面侵袭性乳腺癌分析。质量护理被定义为护理完全符合欧洲乳腺癌专家(Eusoma)定义的质量指标(QI)。多变量逻辑回归用于确定接受质量护理的预测因子。使用Kaplan-Meier方法和Cox模型,分析了基于依赖于QI的总体存活(OS)和无需存活(EF,复发或疾病或死亡的EF,复发或疾病或死亡的进展).Resultsyounger年龄,没有合并症HER2阴性肿瘤与接受质量护理的多数差比有关,而肿瘤阶段和医院类型没有明显的关联。中位后续时间为54.5个月。没有接受质量护理导致染色的风险增加[危险比(HR)1.68; 95%置信区间(CI)1.06-2.66; p = 0.026]。在调整案例混合和医院类型后,两组之间EFS的差异是显着的(HR 1.80; 95%CI 1.29-2.52; P = 0.001),但在模型中加入治疗类型时消失(HR 1.30; 95%CI 0.89-1.90; p = 0.178)。Conclusionobserved的合并症,在提供优质乳腺癌护理时可以是医学上合理的,而依赖于HER2状态的观察到偏差是令人费解的。完全遵守治疗质量指标导致更好的操作系统。

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