Department of Medicine, Weill Cornell Medical College, New York, NY, USA.
J Am Coll Cardiol. 2013 Jul 23;62(4):308-16. doi: 10.1016/j.jacc.2013.04.059. Epub 2013 May 22.
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.
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.
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.
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).
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.
本研究旨在评估多模态适宜性使用标准决策支持工具(AUC-DST)对适宜性检测率和临床决策的影响。
AUC 被开发用于指导疑似冠心病(CAD)患者的非侵入性影像学检查的使用。尚未研究订单前 AUC-DST 对适宜性和临床决策的影响。
我们进行了一项前瞻性多中心队列研究,评估了为 1 家大型私人支付者承保的连续患者进行 CAD 成像检查的医生。在 8 个月的研究期间,每个研究地点都获得了放射学福利管理人员免除事先授权要求的豁免。使用 AUC-DST 来确定心肌灌注闪烁显像(MPS)、应激超声心动图(STE)或冠状动脉计算机断层血管造影(CCTA)的适宜性评分,以及预期的下游检测和治疗。
100 名医生在 8 个月内为 472 名患者(年龄 55.6±9.6 岁,61%为男性,52%有先前已知的 CAD)使用 AUC-DST 进行 MPS(72%)、STE(24%)和 CCTA(5%)。AUC-DST 平均需要 137±360 秒来确定适宜类别,根据美国心脏病学会 AUC,被认为适宜的有 241 例(51%)、不确定的有 96 例(20%)、不适宜的有 85 例(18%)和未解决的有 50 例(11%)。与前 2 个月相比,后 2 个月适宜的检测增加了 22%,从 49%增加到 61%(p=0.02),而不适宜的检测减少了 11%,从 22%减少到 6%(p<0.001)。在此期间,预期的医疗治疗变化从 11%增加到 32%(p=0.001)。
订单前 AUC-DST 能够快速确定 CAD 评估的检测适宜性,分别与适宜和不适宜适应症的检测增加和减少相关。这些检测顺序的变化与检测后医疗治疗的更大变化意图相关。