AuBuchon James P, Fung Mark, Whitaker Barbee, Malasky Jacquelyn
Puget Sound Blood Center, Seattle, Washington.
Transfusion. 2014 Aug;54(8):2077-83. doi: 10.1111/trf.12620. Epub 2014 Mar 28.
The utility of a hemovigilance system depends on appropriate, reproducible application of system definitions. This is even more important when submissions are not reviewed by an adjudicating body. We sought to determine how participants would code adverse reactions at institutions that had or had not received training on the application of definitions used in the CDC's National Healthcare Safety Network Hemovigilance Module (HVM).
Facilities that were (11) or were not (11) submitting adverse reaction data to the HVM reviewed 36 hypothetical cases containing elements of 37 case definitions from 12 different diagnostic groups. Respondents were required to determine the type of adverse event, if any, and assign a case definition (diagnostic probability), severity, and imputability using the January 2013 HVM Surveillance Protocol definitions. Those submitting HVM data had access to an instructional slide set prepared by CDC using similar hypothetical cases. Concordance with expert analysis was determined for the two groups of respondents.
The frequencies of agreement with the expert assessment were not different according to prior training exposure in any of the diagnostic groups, and results were totaled across both groups. Response accuracy varied by type of categorization (adverse event type, 72.1%; match with case definition, 76.5%; severity, 69.6%; imputablity, 64.4%) and by type of adverse event.
Despite delineated definitions, considerable variability in responses was seen, and this was not reduced by the available training. This degree of inconsistency in application of the surveillance definitions could degrade the utility of comparative reports.
血液警戒系统的效用取决于系统定义的恰当、可重复应用。当提交内容未经裁决机构审核时,这一点更为重要。我们试图确定在已接受或未接受过关于美国疾病控制与预防中心国家医疗安全网络血液警戒模块(HVM)所使用定义应用培训的机构中,参与者会如何对不良反应进行编码。
向HVM提交不良反应数据的机构(11个)和未提交的机构(11个)对36个假设病例进行了审查,这些病例包含来自12个不同诊断组的37个病例定义的要素。要求受访者确定不良事件的类型(如有),并使用2013年1月的HVM监测协议定义来指定病例定义(诊断概率)、严重程度和可归因性。那些提交HVM数据的机构可以获取由疾病预防控制中心使用类似假设病例编制的教学幻灯片集。确定了两组受访者与专家分析的一致性。
在任何诊断组中,根据先前的培训接触情况,与专家评估的一致频率并无差异,且两组的结果进行了汇总。应答准确性因分类类型(不良事件类型,72.1%;与病例定义匹配,76.5%;严重程度,69.6%;可归因性,64.4%)和不良事件类型而异。
尽管有明确的定义,但应答中仍存在相当大的变异性,且现有培训并未减少这种变异性。监测定义应用中的这种不一致程度可能会降低比较报告的效用。