Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Department of Health Policy, Vanderbilt University School of Medicine, 2525 West End Ave, suite 1200, Nashville, TN, 37203, USA.
Cancer Causes Control. 2022 Feb;33(2):261-269. doi: 10.1007/s10552-021-01520-3. Epub 2021 Nov 16.
Surgery is an important part of early stage breast cancer treatment that affects overall survival. Many studies of surgical treatment of breast cancer rely on data sources that condition on continuous insurance coverage or treatment at specified facilities and thus under-sample populations especially affected by cancer care inequities including the uninsured and rural populations. Statewide cancer registries contain data on first course of cancer treatment for all patients diagnosed with cancer but the accuracy of these data are uncertain.
Patients diagnosed with stage I-III breast cancer between 2003 and 2016 were identified using the North Carolina Central Cancer Registry and linked to Medicaid, Medicare, and private insurance claims. We calculated the sensitivity, specificity, positive predictive value, negative predictive value, and Kappa statistics for receipt of surgery and type of surgery (breast conserving surgery or mastectomy) using the insurance claims as the presumed gold standard. Analyses were stratified by race, insurance type, and rurality.
Of 26,819 patients who met eligibility criteria, 23,125 were identified as having surgery in both the claims and registry for a sensitivity of 97.9% (95% CI 97.8%, 98.1%). There was also strong agreement for surgery type between the cancer registry and the insurance claims (Kappa: 0.91). Registry treatment data validity was lower for Medicaid insured patients than for Medicare and commercially insured patients.
Cancer registry treatment data reliably identified receipt and type of breast cancer surgery. Cancer registries are an important source of data for understanding cancer care in underrepresented populations.
手术是早期乳腺癌治疗的重要组成部分,影响整体生存率。许多乳腺癌手术治疗的研究依赖于依赖于连续保险覆盖或在特定设施进行治疗的数据来源,因此抽样不足,尤其是那些特别受到癌症护理不公平待遇影响的人群,包括没有保险的人群和农村人群。全州癌症登记处包含所有被诊断患有癌症的患者的首次癌症治疗数据,但这些数据的准确性尚不确定。
使用北卡罗来纳州中央癌症登记处确定 2003 年至 2016 年间诊断为 I-III 期乳腺癌的患者,并与医疗补助、医疗保险和私人保险索赔相关联。我们使用保险索赔作为假定的金标准,计算手术接受率和手术类型(保乳手术或乳房切除术)的灵敏度、特异性、阳性预测值、阴性预测值和 Kappa 统计数据。分析按种族、保险类型和农村程度进行分层。
在符合资格标准的 26819 名患者中,有 23125 名患者在索赔和登记处均接受了手术,灵敏度为 97.9%(95%CI 97.8%,98.1%)。癌症登记处和保险索赔之间的手术类型也有很强的一致性(Kappa:0.91)。与医疗保险和商业保险患者相比,医疗保险患者的登记处治疗数据有效性较低。
癌症登记处的治疗数据可靠地确定了乳腺癌手术的接受情况和类型。癌症登记处是了解代表性不足人群癌症护理的重要数据来源。