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护理人员对ST段抬高型心肌梗死的识别及计算机解读的影响(RESPECT):一项随机交叉可行性研究。

The Recognition of STEMI by Paramedics and the Effect of Computer inTerpretation (RESPECT): a randomised crossover feasibility study.

作者信息

Pilbery Richard, Teare M Dawn, Goodacre Steve, Morris Francis

机构信息

Research Paramedic, Yorkshire Ambulance Service NHS Trust, Wakefield, UK.

Department of Design, Trials & Statistics, School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, UK.

出版信息

Emerg Med J. 2016 Jul;33(7):471-6. doi: 10.1136/emermed-2015-204988. Epub 2016 Feb 10.

Abstract

BACKGROUND

The appropriate management of patients with ST-segment elevation myocardial infarction (STEMI) depends on accurate interpretation of the 12-lead ECG by paramedics. Computer interpretation messages on ECGs are often provided, but the effect they exert on paramedics' decision-making is not known. The objective of this study was to assess the feasibility of using an online assessment tool, and collect pilot data, for a definitive trial to determine the effect of computer interpretation messages on paramedics' diagnosis of STEMI.

METHODS

The Recognition of STEMI by Paramedics and the Effect of Computer inTerpretation (RESPECT) feasibility study was a randomised crossover trial using a bespoke, web-based assessment tool. Participants were randomly allocated 12 of 48 ECGs, with an equal mix of correct and incorrect computer interpretation messages, and STEMI and STEMI-mimics. The nature of the responses required a cross-classified multi-level model.

RESULTS

254 paramedics consented into the study, 205 completing the first phase and 150 completing phase two. The adjusted OR for a correct paramedic interpretation, when the computer interpretation was correct (true positive for STEMI or true negative for STEMI-mimic), was 1.80 (95% CI 0.84 to 4.91) and 0.58 (95% CI 0.41 to 0.81) when the computer interpretation was incorrect (false positive for STEMI or false negative for STEMI-mimic). The intraclass correlation coefficient for correct computer interpretations was 0.33 for participants and 0.17 for ECGs, and for incorrect computer interpretations, 0.06 for participants and 0.01 for ECGs.

CONCLUSIONS

Determining the effect of computer interpretation messages using a web-based assessment tool is feasible, but the design needs to take clustered data into account. Pilot data suggest that computer messages influence paramedic interpretation, improving accuracy when correct and worsening accuracy when incorrect.

摘要

背景

ST段抬高型心肌梗死(STEMI)患者的恰当管理取决于护理人员对12导联心电图的准确解读。心电图上常提供计算机解读信息,但它们对护理人员决策的影响尚不清楚。本研究的目的是评估使用在线评估工具的可行性,并收集初步数据,以进行一项确定性试验,确定计算机解读信息对护理人员诊断STEMI的影响。

方法

护理人员对STEMI的识别及计算机解读的影响(RESPECT)可行性研究是一项使用定制的基于网络的评估工具的随机交叉试验。参与者被随机分配48份心电图中的12份,其中正确和错误的计算机解读信息、STEMI和疑似STEMI病例各占一半。所需反应的性质需要一个交叉分类的多层次模型。

结果

254名护理人员同意参与研究,205人完成第一阶段,150人完成第二阶段。当计算机解读正确时(STEMI为真阳性或疑似STEMI为真阴性),护理人员正确解读的调整后比值比为1.80(95%可信区间0.84至4.91);当计算机解读错误时(STEMI为假阳性或疑似STEMI为假阴性),调整后比值比为0.58(95%可信区间0.41至0.81)。正确的计算机解读的组内相关系数,参与者为0.33,心电图为0.17;错误的计算机解读的组内相关系数,参与者为0.06,心电图为0.01。

结论

使用基于网络的评估工具确定计算机解读信息的影响是可行的,但设计需要考虑聚类数据。初步数据表明,计算机信息会影响护理人员的解读,正确时提高准确性,错误时降低准确性。

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