Cooper G S, Yuan Z, Stange K C, Amini S B, Dennis L K, Rimm A A
Department of Medicine, Case Western Reserve University, Cleveland, OH, USA.
Med Care. 1999 Jul;37(7):706-11. doi: 10.1097/00005650-199907000-00010.
The validity of using claims data for measuring tumor stage, one of the most important determinants of choice of therapy and long-term survival, is unknown.
To determine the relative accuracy of both inpatient and hospital Outpatient Medicare claims for measuring the stage of disease of six commonly diagnosed cancers.
Analysis of a database linking Surveillance, Epidemiology, and End Results (SEER) registry data and Medicare claims in patients aged 65 years with cancer.
Three hundred twenty thousand, six hundred and thirty seven cases of invasive breast, colorectal, endometrial, lung, pancreatic, and prostate cancers diagnosed between 1984 and 1993.
Using SEER files as the "gold standard," concordance with Medicare claims, as well as sensitivity and positive predictive value of coding for each stage was measured.
Although Medicare data correctly categorized local, regional, and distant stage tumors in 97%, 33%, and 65%, respectively, the data substantially overestimated the proportion of localized tumors and underestimated the rate of regional stage disease. The highest concordance was observed for breast and colorectal cancer. However, the sensitivity and positive predictive values were never simultaneously 80% within one stage of a specific cancer. The accuracy of coding for stage in Outpatient files was inferior to inpatient data.
With few exceptions, Medicare claims have limited utility as a measure of cancer stage. If tumor registry data are not available, investigators should consider the trade offs in sensitivity and predictive value when considering a study that will use claims data.
使用理赔数据来衡量肿瘤分期(治疗选择和长期生存的最重要决定因素之一)的有效性尚不清楚。
确定住院和门诊医疗保险理赔数据在测量六种常见诊断癌症的疾病分期方面的相对准确性。
对一个将监测、流行病学和最终结果(SEER)登记数据与65岁及以上癌症患者的医疗保险理赔数据相链接的数据库进行分析。
1984年至1993年间诊断出的320,637例浸润性乳腺癌、结直肠癌、子宫内膜癌、肺癌、胰腺癌和前列腺癌病例。
以SEER文件作为“金标准”,测量与医疗保险理赔数据的一致性,以及每个分期编码的敏感性和阳性预测值。
尽管医疗保险数据分别正确分类了97%的局部、33%的区域和65%的远处分期肿瘤,但该数据大幅高估了局部肿瘤的比例,低估了区域分期疾病的发生率。乳腺癌和结直肠癌的一致性最高。然而,在特定癌症的一个分期内,敏感性和阳性预测值从未同时达到80%。门诊文件中分期编码的准确性低于住院数据。
除少数例外情况外,医疗保险理赔数据作为癌症分期的衡量指标效用有限。如果没有肿瘤登记数据,研究人员在考虑使用理赔数据的研究时,应考虑敏感性和预测价值方面的权衡。