Doris Chen1, Hriday P Bhambhvani2, Jason Hom3, Megan Mahoney1, Max Wintermark4, Christopher Sharp1, John Ratliff5, Yi-Ren Chen5. 1. Division of Primary Care and Population Health, Department of Medicine, Stanford University School of Medicine, Stanford, California, USA. 2. School of Medicine, Stanford University School of Medicine, Stanford, California, USA. Electronic address: hriday@stanford.edu. 3. Division of Hospital Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, California, USA. 4. Department of Radiology, Stanford University School of Medicine, Stanford, California, USA. 5. Department of Neurosurgery, Stanford University School of Medicine, Stanford, California, USA.
Abstract
OBJECTIVES: To assess the effectiveness of a clinical decision support tool consisting of an electronic medical record best practice alert (BPA) on the frequency of lumbar imaging in patients with acute low back pain in the ambulatory care setting, and to explore why providers order imaging outside of clinical guidelines. METHODS: On March 23, 2016, we implemented a BPA pop-up alert that informed the ordering physician of the Choosing Wisely recommendation to not order imaging within the first 6 weeks of low back pain in the absence of red flags. We calculated imaging rates 1 year before and after implementation of the BPA. To override the BPA, providers could ignore the alert or explain their rationale for ordering imaging using either preset options or a free-text submission. We tracked preset options and manually reviewed 125 free-text submissions. RESULTS: Significant decreases in both total imaging rate (9.6% decrease; P = 0.02) and magnetic resonance imaging rate (14.9% decrease; P < 0.01) were observed after implementation of the BPA. No change was found in the rates of X-ray or computed tomography scan orders. Almost two-thirds (64%) of the providers used preset options in overriding the BPA, and 36% of the providers entered a free-text submission. Among those providers using a free-text submission, 56% entered a non-guideline-supported rationale. CONCLUSIONS: The present study demonstrates the effectiveness of a simple, low-cost clinical decision support tool in reducing imaging rates for patients with acute low back pain. We also identify reasons why providers order imaging outside of clinical guidelines.
OBJECTIVES: To assess the effectiveness of a clinical decision support tool consisting of an electronic medical record best practice alert (BPA) on the frequency of lumbar imaging in patients with acute low back pain in the ambulatory care setting, and to explore why providers order imaging outside of clinical guidelines. METHODS: On March 23, 2016, we implemented a BPA pop-up alert that informed the ordering physician of the Choosing Wisely recommendation to not order imaging within the first 6 weeks of low back pain in the absence of red flags. We calculated imaging rates 1 year before and after implementation of the BPA. To override the BPA, providers could ignore the alert or explain their rationale for ordering imaging using either preset options or a free-text submission. We tracked preset options and manually reviewed 125 free-text submissions. RESULTS: Significant decreases in both total imaging rate (9.6% decrease; P = 0.02) and magnetic resonance imaging rate (14.9% decrease; P < 0.01) were observed after implementation of the BPA. No change was found in the rates of X-ray or computed tomography scan orders. Almost two-thirds (64%) of the providers used preset options in overriding the BPA, and 36% of the providers entered a free-text submission. Among those providers using a free-text submission, 56% entered a non-guideline-supported rationale. CONCLUSIONS: The present study demonstrates the effectiveness of a simple, low-cost clinical decision support tool in reducing imaging rates for patients with acute low back pain. We also identify reasons why providers order imaging outside of clinical guidelines.
Authors: Amanda Hall; Helen Richmond; Andrea Pike; Rebecca Lawrence; Holly Etchegary; Michelle Swab; Jacqueline Y Thompson; Charlotte Albury; Jill Hayden; Andrea M Patey; James Matthews Journal: Implement Sci Date: 2021-07-02 Impact factor: 7.327
Authors: Jacob K Greenberg; Ayodamola Otun; Zoher Ghogawala; Po-Yin Yen; Camilo A Molina; David D Limbrick; Randi E Foraker; Michael P Kelly; Wilson Z Ray Journal: Global Spine J Date: 2021-05-11