Scott G Weiner1, Karen M Sherritt2, Zoe Tseng3, Jaya Tripathi4. 1. Department of Emergency Medicine, Brigham and Women's Hospital, 75 Francis Street, NH-226, Boston, MA 02115, United States. Electronic address: sweiner@bwh.harvard.edu. 2. Department of Medicine, The Phyllis Jen Center for Primary Care, Brigham and Women's Hospital, 75 Francis Street, Boston, MA 02115, United States. Electronic address: ksherritt@bwh.harvard.edu. 3. Department of Medicine, Brigham and Women's Hospital, 272 Centre Street, Newton, MA 02458, United States. Electronic address: ztseng@bwh.harvard.edu. 4. MITRE Corporation, 202 Burlington Road, Bedford, MA 01730, United States. Electronic address: jtripathi@mitre.org.
Abstract
OBJECTIVES: Prescription drug monitoring programs (PDMPs) are state-based databases that contain information about controlled substance prescriptions dispensed by pharmacies. Many states now mandate PDMP use by prescribers, despite unclear effectiveness. We hypothesize that it is possible to improve the interpretability, and hence effectiveness, of PDMPs by enhancing them. METHODS: This was a real-time simulation of an enhanced PDMP. Fifty practicing physicians (25 primary care, 25 emergency medicine) were randomized to see three cases with a standard profile or an enhanced profile that included graphical representation of prescriptions and identified risky prescribing patterns. After a two-month washout period, participants were placed in the opposite group. RESULTS: Physicians presented with the enhanced profile were more likely to correctly identify patients with multiple providers (97.0% vs. 85.8%, p = 0.002), overlapping opioid and benzodiazepine prescriptions (94.7% vs. 87.5%, p = 0.03), overlapping opioid prescriptions (89.5% vs. 70.8%, p < 0.01), high daily dosages of opioids (99.2% vs. 25.0%, p = 0.02), and traveling to distant pharmacies (79.7% vs. 2.5%, p < 0.01). There was no difference in interpretation time for the three cases (standard profile 657.3 s vs. enhanced profile 686.3 s, p = 0.31). CONCLUSIONS: A simulated PDMP with graphical displays and interpretation of findings was, for this cohort of emergency physicians and primary care physicians, associated with an increased ability to determine high-risk features on PDMP profiles.
OBJECTIVES: Prescription drug monitoring programs (PDMPs) are state-based databases that contain information about controlled substance prescriptions dispensed by pharmacies. Many states now mandate PDMP use by prescribers, despite unclear effectiveness. We hypothesize that it is possible to improve the interpretability, and hence effectiveness, of PDMPs by enhancing them. METHODS: This was a real-time simulation of an enhanced PDMP. Fifty practicing physicians (25 primary care, 25 emergency medicine) were randomized to see three cases with a standard profile or an enhanced profile that included graphical representation of prescriptions and identified risky prescribing patterns. After a two-month washout period, participants were placed in the opposite group. RESULTS: Physicians presented with the enhanced profile were more likely to correctly identify patients with multiple providers (97.0% vs. 85.8%, p = 0.002), overlapping opioid and benzodiazepine prescriptions (94.7% vs. 87.5%, p = 0.03), overlapping opioid prescriptions (89.5% vs. 70.8%, p < 0.01), high daily dosages of opioids (99.2% vs. 25.0%, p = 0.02), and traveling to distant pharmacies (79.7% vs. 2.5%, p < 0.01). There was no difference in interpretation time for the three cases (standard profile 657.3 s vs. enhanced profile 686.3 s, p = 0.31). CONCLUSIONS: A simulated PDMP with graphical displays and interpretation of findings was, for this cohort of emergency physicians and primary care physicians, associated with an increased ability to determine high-risk features on PDMP profiles.
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