Weerasinghe Ashini, Smith Courtney R, Majpruz Vicky, Pandya Anjali, Blackmore Kristina M, Holloway Claire M B, Segal-Nadlere Roanne, Paroschy Harris Cathy, Hendry Ashley, Hey Amanda, Kornecki Anat, Lougheed George, Maier Barbara-Anne, Marchand Patricia, McCready David, Rand Carol, Raphael Simon, Sehgal Neelu, Chiarelli Anna M
Prevention and Cancer Control, Cancer Care Ontario, 620 University Avenue, Toronto, ON, Canada M5G 2L7.
Dalla Lana School of Public Health, University of Toronto, 155 College Street, 6th Floor, Toronto, ON, Canada M5T 3M7.
J Cancer Epidemiol. 2018 May 14;2018:9218595. doi: 10.1155/2018/9218595. eCollection 2018.
Medical chart abstraction is the gold standard for collecting breast cancer treatment data for monitoring and research. A less costly alternative is the use of administrative databases. This study will evaluate administrative data in comparison to medical charts for breast cancer treatment information.
A retrospective cohort design identified 2,401 women in the Ontario Breast Screening Program diagnosed with invasive breast cancer from 2006 to 2009. Treatment data were obtained from the Activity Level Reporting and Canadian Institute of Health Information databases. Medical charts were abstracted at cancer centres. Sensitivity, specificity, positive and negative predictive value, and kappa were calculated for receipt and type of treatment, and agreement was assessed for dates. Logistic regression evaluated factors influencing agreement.
Sensitivity and specificity for receipt of radiotherapy (92.0%, 99.3%), chemotherapy (77.7%, 99.2%), and surgery (95.8%, 100%) were high but decreased slightly for specific radiotherapy anatomic locations, chemotherapy protocols, and surgeries. Agreement increased by radiotherapy year (trend test, < 0.0001). Stage II/III compared to stage I cancer decreased odds of agreement for chemotherapy (OR = 0.66, 95% CI: 0.48-0.91) and increased agreement for partial mastectomy (OR = 3.36, 95% CI: 2.27-4.99). Exact agreement in treatment dates varied from 83.0% to 96.5%.
Administrative data can be accurately utilized for future breast cancer treatment studies.
病历摘要提取是收集乳腺癌治疗数据以进行监测和研究的金标准。一种成本较低的替代方法是使用行政数据库。本研究将评估行政数据与病历在乳腺癌治疗信息方面的差异。
一项回顾性队列研究设计确定了安大略省乳腺癌筛查项目中2006年至2009年被诊断为浸润性乳腺癌的2401名女性。治疗数据来自活动水平报告和加拿大卫生信息研究所的数据库。在癌症中心提取病历摘要。计算了治疗的接受情况和类型的敏感性、特异性、阳性和阴性预测值以及kappa值，并评估了日期的一致性。逻辑回归评估了影响一致性的因素。
放疗（92.0%，99.3%）、化疗（77.7%，99.2%）和手术（95.8%，100%）接受情况的敏感性和特异性较高，但对于特定放疗解剖部位、化疗方案和手术，敏感性和特异性略有下降。放疗年份的一致性有所增加（趋势检验，<0.0001）。与I期癌症相比，II/III期癌症化疗一致性的几率降低（OR = 0.66，95% CI：0.48 - 0.91），部分乳房切除术的一致性增加（OR = 3.36，95% CI：2.27 - 4.99）。治疗日期的精确一致性在83.0%至96.5%之间。
行政数据可准确用于未来的乳腺癌治疗研究。
