Singh Jasvinder A
Arthritis Res Ther. 2013;15(6):R224. doi: 10.1186/ar4425.
The aim of this study was to assess the accuracy of Veterans Affairs (VA) databases for gout-related health care utilization.
This retrospective study utilized VA administrative and clinical databases. A random sample of gout patients with visits (outpatient, inpatient or emergent/urgent care) with or without the diagnosis of gout (International Classification of Diseases, ninth revision, common modification ICD-9-CM code of 274.x or 274.xx) at the Birmingham VA hospital was selected. A blinded abstractor performed a review of VA electronic health records for the documentation of gout or gout-related terms (gouty arthritis, tophaceous gout, tophus/tophi, acute gout, chronic gout, podagra, urate stones, urate or uric acid crystals and so on) in the chief complaint, history of present illness or assessment and plan for the visit; this constituted the gold standard for gout-related utilization. The accuracy of database-derived gout-related claims was assessed by calculating sensitivity, specificity, and positive and negative predictive values (PPV and NPV).
Of 108 potential visits, 85 outpatient, inpatient or urgent care/emergency room visits to a health care provider (85 patients: 84 men and 1 woman with a mean age of 63 years) and retrievable data from medical records constituted the analyzed dataset. Administrative claims for gout-related utilization with ICD-9 code for gout were accurate with a PPV of 86%, specificity of 95%, sensitivity of 86% and NPV of 95%.
VA databases are accurate for gout-related visits. These findings support their use for studies of health services and outcome studies. It remains to be seen if these findings are generalizable to other settings and databases.
本研究旨在评估退伍军人事务部(VA)数据库在痛风相关医疗保健利用方面的准确性。
本回顾性研究使用了VA行政和临床数据库。从伯明翰VA医院选取了一组痛风患者的随机样本,这些患者有就诊记录(门诊、住院或急诊/紧急护理),无论是否被诊断为痛风(国际疾病分类第九版,临床修订本ICD - 9 - CM代码为274.x或274.xx)。一名盲态摘要员对VA电子健康记录进行审查,以查找主诉、现病史或就诊评估与计划中痛风或痛风相关术语(痛风性关节炎、痛风石性痛风、痛风石、急性痛风、慢性痛风、足痛风、尿酸盐结石、尿酸盐或尿酸晶体等)的记录;这构成了痛风相关利用的金标准。通过计算敏感性、特异性以及阳性和阴性预测值(PPV和NPV)来评估数据库得出的痛风相关索赔的准确性。
在108次潜在就诊中,85次门诊、住院或紧急护理/急诊室就诊(85名患者:84名男性和1名女性,平均年龄63岁)以及从病历中获取的数据构成了分析数据集。使用痛风ICD - 9代码的痛风相关利用行政索赔准确,PPV为86%,特异性为95%,敏感性为86%,NPV为95%。
VA数据库在痛风相关就诊方面是准确的。这些发现支持将其用于卫生服务研究和结局研究。这些发现是否适用于其他环境和数据库还有待观察。