Losina Elena, Barrett Jane, Baron John A, Katz Jeffrey N
Department of Epidemiology and Biostatistics, Boston University School of Public Health, 715 Albany Street, Talbor 3-E, Boston, MA 02118, USA.
J Clin Epidemiol. 2003 Jun;56(6):515-9. doi: 10.1016/s0895-4356(03)00056-8.
This analysis was performed to examine whether Medicare claims accurately document underlying rheumatologic diagnoses in total hip replacement (THR) recipients. We obtained data on rheumatologic diagnoses including rheumatoid arthritis (RA), avascular necrosis (AVN), and osteoarthritis (OA) from medical records and from Medicare claims data. To examine the accuracy of claims data we calculated sensitivity and positive predictive value using medical records data as the "gold standard" and assessed bias due to misclassification of claims-based diagnoses. The sensitivities of claims-based diagnoses of RA, AVN, and OA were 0.65, 0.54, and 0.96, respectively; the positive predictive values were all in the 0.86-0.89 range. The sensitivities of RA and AVN varied substantially across hospital volume strata, but in different directions for the two diagnoses. We conclude that inaccuracies in claims coding of diagnoses are frequent, and are potential sources of bias. More studies are needed to examine the magnitude and direction of bias in health outcomes research due to inaccuracy of claims coding for specific diagnoses.
进行这项分析是为了检验医疗保险理赔数据是否能准确记录全髋关节置换术(THR)接受者潜在的风湿性诊断。我们从医疗记录和医疗保险理赔数据中获取了包括类风湿性关节炎(RA)、缺血性坏死(AVN)和骨关节炎(OA)在内的风湿性诊断数据。为了检验理赔数据的准确性,我们以医疗记录数据作为“金标准”计算了敏感度和阳性预测值,并评估了基于理赔的诊断错误分类导致的偏差。基于理赔的RA、AVN和OA诊断的敏感度分别为0.65、0.54和0.96;阳性预测值均在0.86 - 0.89范围内。RA和AVN的敏感度在不同医院规模分层中差异很大,但两种诊断的变化方向不同。我们得出结论,诊断理赔编码不准确的情况很常见,并且是潜在的偏差来源。需要更多研究来检验由于特定诊断的理赔编码不准确而导致的健康结果研究中偏差的程度和方向。