首页> 外文期刊>Journal of the American College of Cardiology >Impact of an automated multimodality point-of-order decision support tool on rates of appropriate testing and clinical decision making for individuals with suspected coronary artery disease: A prospective multicenter study
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Impact of an automated multimodality point-of-order decision support tool on rates of appropriate testing and clinical decision making for individuals with suspected coronary artery disease: A prospective multicenter study

机译:自动化多层秩序决策支持工具对具有疑似冠状动脉疾病的个体的适当测试和临床决策率的影响:一个未来的多中心研究

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Objectives This study sought to evaluate the impact of a multimodality-appropriate use criteria decision support tool (AUC-DST) on rates of appropriate testing and clinical decision making. Background AUC have been developed to guide utilization of noninvasive imaging for individuals with suspected coronary artery disease (CAD). The effect of a point-of-order AUC-DST on rates of appropriateness and clinical decision making has not been examined. Methods We performed a prospective multicenter cohort study evaluating physicians who ordered CAD imaging tests for consecutive patients insured by 1 large private payer. During an 8-month study period, each study site was granted exemption from prior authorization requirements by radiology benefits managers. An AUC-DST was employed to determine appropriateness ratings for myocardial perfusion scintigraphy (MPS), stress echocardiography (STE), or coronary computed tomographic angiography (CCTA), as well as intended downstream testing and therapy. Results One hundred physicians used the AUC-DST for 472 patients (age 55.6 ± 9.6 years, 61% male, 52% prior known CAD) over 8 months for MPS (72%), STE (24%), and CCTA (5%). The AUC-DST required an average of 137 ± 360 s to determine the appropriateness category that, by American College of Cardiology AUC, was considered appropriate in 241 (51%), uncertain in 96 (20%), inappropriate in 85 (18%), and not addressed in 50 (11%). For tests ordered in the first 2 months compared with the last 2 months, appropriate tests increased from 49% to 61% (p = 0.02), whereas inappropriate tests decreased from 22% to 6% (p < 0.001). During this period, intended changes in medical therapy increased from 11% to 32% (p = 0.001). Conclusions A point-of-order AUC-DST enabled rapid determination of test appropriateness for CAD evaluation and was associated with increased and decreased testing for appropriate and inappropriate indications, respectively. These changes in test ordering were associated with greater intended changes in post-test medical therapy.
机译:目的本研究试图评估多层性适当的使用标准决策支持工具(AUC-DST)对适当测试和临床决策的率的影响。背景技术已经开发出AUC以指导利用疑似冠状动脉疾病(CAD)的个体的非侵入性成像。尚未检查订单点AUC-DST对适​​当性和临床决策率的影响。方法我们进行了一项潜在的多中心队列研究评估医生,这些医生订购了由1个大型私人付款人投保的连续患者的CAD成像测试。在8个月的研究期间,每个学习网站被放射学福利管理人员获得了先前授权要求的豁免。使用AUC-DST来确定心肌灌注闪烁(MPS),应激超声心动图(STE)或冠状动脉的断层血管造影(CCTA)以及预期下游测试和治疗的适当性评级。结果百年医师使用AUC-DST为472名患者(55.6±9.6岁,61%雄性,52%先前已知的CAD)对于MPS(72%),STE(24%)和CCTA(5%)(5%) )。 AUC-DST的平均需要137±360秒,以确定拟合类别,由美国心脏病学院AUC,在241(51%)中被认为是合适的,96(20%)不确定,不恰当于85(18%) ),并未在50(11%)中讨论。对于在前2个月订购的测试与过去2个月相比,适当的测试从49%增加到61%(P = 0.02),而不适当的试验从22%降至6%(P <0.001)。在此期间,医疗疗法的预期变化从11%增加到32%(p = 0.001)。结论能够快速测定CAD评价的测试适当性快速测定,并分别增加和减少对适当和不恰当的指标的测试。这些测试排序的变化与测试后医疗治疗的更大预期变化有关。

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