Kwak Y G, Choi J Y, Yoo H M, Lee S-O, Kim H B, Han S H, Choi H J, Kim S R, Kim T H, Chun H K, Koo H-S
Department of Internal Medicine, Inje University Ilsan Paik Hospital, Goyang, South Korea.
Department of Internal Medicine, Yonsei University College of Medicine, Seoul, South Korea.
J Hosp Infect. 2017 Aug;96(4):377-384. doi: 10.1016/j.jhin.2017.04.003. Epub 2017 Apr 8.
National surveillance data should be validated to identify methodological problems within the surveillance programme and data quality issues.
To test the validity of healthcare-associated infection (HAI) rate data from the Korean National Healthcare-associated Infections Surveillance System (KONIS).
Records from intensive care units of 12 (14.8%) of 81 participating hospitals for January-March 2014 were examined. The validation team reviewed 406 medical records of 110 patients with 114 reported HAIs - including 34 urinary tract infections (UTIs), 57 bloodstream infections (BSIs) and 23 cases of pneumonia (PNEU) - and 296 patients with no reported HAIs during one-day visits conducted in August and September 2014. The reviewers' diagnosis of HAI was regarded as the reference standard; in ambiguous cases, the KONIS Steering Committee confirmed the diagnosis of HAI.
Sensitivity values for UTIs, BSIs and PNEU were 85.3%, 74.0% and 66.7%, and specificity values were 98.7%, 99.1% and 98.7%, respectively. Positive predictive values were 85.3%, 94.7% and 78.3%, and negative predictive values were 98.7%, 94.6% and 97.7%, respectively. Sensitivity for PNEU was lower than that for UTIs and BSIs. The hospitals participating in KONIS infrequently reported conditions that were not HAIs. Sensitivity for BSIs was lower in this study than in KONIS validation studies conducted in 2008 and 2010.
KONIS data are generally reliable; however, sensitivity for BSIs exhibited a decrease. This study shows the need for ongoing validation and continuous training of surveillance personnel to maintain the accuracy of surveillance data.
国家监测数据应进行验证,以识别监测计划中的方法问题和数据质量问题。
检验韩国国家医疗相关感染监测系统(KONIS)中医疗相关感染(HAI)率数据的有效性。
检查了2014年1月至3月期间81家参与医院中12家(14.8%)重症监护病房的记录。验证团队在2014年8月和9月进行的为期一天的访视中,审查了110例报告有114例HAI的患者的406份病历——包括34例尿路感染(UTI)、57例血流感染(BSI)和23例肺炎(PNEU)——以及296例未报告HAI的患者的病历。审查人员对HAI的诊断被视为参考标准;在存在歧义的病例中,KONIS指导委员会确认HAI的诊断。
UTI、BSI和PNEU的敏感性值分别为85.3%、74.0%和66.7%,特异性值分别为98.7%、99.1%和98.7%。阳性预测值分别为85.3%、94.7%和78.3%,阴性预测值分别为98.7%、94.6%和97.7%。PNEU的敏感性低于UTI和BSI。参与KONIS的医院很少报告非HAI的情况。本研究中BSI的敏感性低于2008年和2010年进行的KONIS验证研究。
KONIS数据总体可靠;然而,BSI的敏感性有所下降。本研究表明需要持续进行验证并对监测人员进行持续培训,以保持监测数据的准确性。