Assessment of the Radiology Support, Communication and Alignment Network to Reduce Medical Imaging Overutilization: A Multipractice Cohort Study
| Autor: | Nancy Fredericks, E. Kent Yucel, Christie M. Lincoln, Derek B. Boothroyd, Marc H. Willis, Max Wintermark, Judy Burleson, Victoria Y. Ding, G. Rebecca Haines, Jason Hom, Geraldine McGinty, Jacqueline A. Bello, William T. Thorwarth, Mythreyi Chatfield, Paymon Rezaii, Cynthia D. Smith, Bruce J. Hillman |
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| Rok vydání: | 2020 |
| Předmět: |
Diagnostic Imaging
medicine.medical_specialty Logistic regression Rate ratio 030218 nuclear medicine & medical imaging Cohort Studies 03 medical and health sciences symbols.namesake 0302 clinical medicine medicine Humans Radiology Nuclear Medicine and imaging Poisson regression Generalized estimating equation business.industry Communication Odds ratio Confidence interval Radiography 030220 oncology & carcinogenesis Cohort symbols Radiology business Cohort study |
| Zdroj: | Journal of the American College of Radiology. 17:597-605 |
| ISSN: | 1546-1440 |
| DOI: | 10.1016/j.jacr.2020.02.011 |
| Popis: | The aim of this study was to determine whether participation in Radiology Support, Communication and Alignment Network (R-SCAN) results in a reduction of inappropriate imaging in a wide range of real-world clinical environments.This quality improvement study used imaging data from 27 US academic and private practices that completed R-SCAN projects between January 25, 2015, and August 8, 2018. Each project consisted of baseline, educational (intervention), and posteducational phases. Baseline and posteducational imaging cases were rated as high, medium, or low value on the basis of validated ACR Appropriateness Criteria®. Four cohorts were generated: a comprehensive cohort that included all eligible practices and three topic-specific cohorts that included practices that completed projects of specific Choosing Wisely topics (pulmonary embolism, adnexal cyst, and low back pain). Changes in the proportion of high-value cases after R-SCAN intervention were assessed for each cohort using generalized estimating equation logistic regression, and changes in the number of low-value cases were analyzed using Poisson regression.Use of R-SCAN in the comprehensive cohort resulted in a greater proportion of high-value imaging cases (from 57% to 79%; odds ratio, 2.69; 95% confidence interval, 1.50-4.86; P = .001) and 345 fewer low-value cases after intervention (incidence rate ratio, 0.45; 95% confidence interval, 0.29-0.70; P.001). Similar changes in proportion of high-value cases and number of low-value cases were found for the pulmonary embolism, adnexal cyst, and low back pain cohorts.R-SCAN participation was associated with a reduced likelihood of inappropriate imaging and is thus a promising tool to enhance the quality of patient care and promote wise use of health care resources. |
| Databáze: | OpenAIRE |
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