Stevenson Kurt B, Khan Yosef, Dickman Jeanne, Gillenwater Terri, Kulich Pat, Myers Carol, Taylor David, Santangelo Jennifer, Lundy Jennifer, Jarjoura David, Li Xiaobai, Shook Janice, Mangino Julie E
Department of Clinical Epidemiology, Ohio State University Medical Center, Columbus, OH 4320, USA.
Am J Infect Control. 2008 Apr;36(3):155-64. doi: 10.1016/j.ajic.2008.01.004.
ICD-9-CM coding alone has been proposed as a method of surveillance for health care-associated infections (HAIs). The accuracy of this method, however, relative to accepted infection control criteria is not known.
Retrospective analysis of patients at an academic medical center in 2005 who underwent surgical procedures or who were at risk for catheter-associated bloodstream infections or ventilator-associated pneumonia was performed. Patients previously identified with HAIs by Centers for Disease Control and Prevention's National Healthcare Safety Network surveillance methods were compared with those of the same risk group identified by secondary infection ICD-9-CM codes. Discordant cases identified by only coding were all rereviewed and adjusted prior to final analysis. When coding and surveillance were both negative, a sample of patients was used to estimate the proportion of false negatives in this group.
The positive predictive values (PPVs) ranged from 0.14 to 0.51 with an aggregate of 0.23, even after adjustment for additional cases detected on subsequent medical record review. The negative predictive values (NPVs) ranged from 0.91 to 1.00, with an aggregate of 0.96. The estimates of the true variance of PPVs and NPVs across surgical procedures were small (0.0129, standard error, 0.009; 0.000145, standard error, 0.00019, respectively) and could be mostly explained by variation in prevalence of surgical site infections.
Administrative coding alone appears to be a poor tool to be used as an infection control surveillance method. Its proposed use for routine HAI surveillance, public reporting of HAIs, interfacility comparisons, and nonpayment for performance should be seriously questioned.
仅使用国际疾病分类第九版临床修订本(ICD-9-CM)编码已被提议作为监测医疗保健相关感染(HAIs)的一种方法。然而,相对于公认的感染控制标准,这种方法的准确性尚不清楚。
对2005年在一家学术医疗中心接受手术或有导管相关血流感染或呼吸机相关性肺炎风险的患者进行回顾性分析。将先前通过疾病控制与预防中心的国家医疗安全网络监测方法确定为HAIs的患者与通过继发性感染ICD-9-CM编码确定的相同风险组患者进行比较。在最终分析之前,对仅通过编码识别出的不一致病例进行了重新审查和调整。当编码和监测均为阴性时,使用一部分患者样本估计该组中的假阴性比例。
即使在对后续病历审查中发现的其他病例进行调整后,阳性预测值(PPV)范围为0.14至0.51,总计为0.23。阴性预测值(NPV)范围为0.91至1.00,总计为0.96。手术过程中PPV和NPV的真实方差估计值较小(分别为0.0129,标准误0.009;0.000145,标准误0.00019),并且大部分可以通过手术部位感染患病率的变化来解释。
仅行政编码似乎是一种不适合用作感染控制监测方法的工具。其用于常规HAIs监测、HAIs公开报告、机构间比较以及绩效不支付的提议应受到严重质疑。