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.

Link to article at PubMed

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.

J Am Coll Cardiol. 2013 May 22;

Authors: Lin FY, Dunning AM, Narula J, Shaw LJ, Gransar H, Berman DS, Min JK

Abstract
OBJECTIVE: 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 non-invasive 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 one 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: 100 physicians used the AUC-DST for 472 patients (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 seconds to determine appropriateness category that, by American College of Cardiology AUC were 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 to the last 2 months, appropriate tests increased from 49% to 61% (p=0.02), while 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.

PMID: 23707319 [PubMed - as supplied by publisher]

Leave a Reply

Your email address will not be published.