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Objectives To assess whether implementation of the Strengthen Opioid Misuse Prevention (STOP) Act was associated with an increase in the percentage of opioid prescriptions written for 7 days or fewer among patients with acute or postsurgical musculoskeletal conditions. Design An interrupted time-series study was conducted to determine the change in duration of opioid prescriptions associated with the STOP Act. Setting Data were extracted from the electronic health record of a large health care system in North Carolina. Subjects Patients presenting from 2016 to 2020 with an acute musculoskeletal injury and the clinicians treating them were included in an interrupted time-series study (n  = 12 839). Methods Trends were assessed over time, including the change in trend associated with implementation of the STOP Act, for the percentage of prescriptions written for ≤7 days. Results Among patients with acute musculoskeletal injury, less than 30% of prescriptions were written for ≤7 days in January of 2016; by December of 2020, almost 90% of prescriptions were written for ≤7 days. Prescriptions written for ≤7 days increased 17.7% after the STOP Act was implemented (P  < .001), after adjustment for the existing trend. Conclusions These results demonstrate significant potential for legislation to influence opioid prescribing behavior. [ABSTRACT FROM AUTHOR]

Background and Objectives: Posttraumatic stress disorder (PTSD) is associated with higher rates of chronic pain and increased risk of developing Opioid use disorder. This paper evaluates the impact of PRIMUM, an electronic health record‐embedded (EHR) clinical decision support intervention on opioid prescribing patterns for patients with diagnosis of PTSD. Methods: Inpatient, emergency department (ED), urgent care, and outpatient encounters with ICD‐10 codes F43.1 (PTSD), F43.10 (PTSD, unspecified), F43.11 (PTSD, acute), and F43.12 (PTSD, chronic) at Atrium Health between 1/1/2016 and 12/29/2018 were included in the study. Results: A total of 3121 patients with a diagnosis of PTSD were seen in 37,443 encounters during the study period. Ten percent (n = 3761) of the encounters resulted in prescriptions for opioids and PRIMUM alerts were triggered in 1488 of these encounters. These alerts resulted in "decision influenced" for 17% of patients (n = 255) or no prescriptions for opioids or benzodiazepines for 5.8% (n = 86). The majority of the prescriptions were below 50 Morphine milligram equivalents (MME)/day, but there were 570 (15.5%) prescriptions for doses of 50–90 MME and 721 (19.6%) prescriptions for >90 MME/day. Discussion and Conclusion: The PRIMUM alert system helps improve patient safety. PRIMUM affected clinician decisions 17% of the time, and the effect was greater in patients with opioid overdose history and those presenting for early refills. Scientific Significance: The effectiveness of clinical support interventions for opioid prescribing for patients with PTSD has not been documented previously. Our findings provide novel evidence that the EHR can be used to improve patient safety among patients with PTSD in the context of substance use. [ABSTRACT FROM AUTHOR]

Objectives: Addiction and overdose related to prescription drugs continues to be a leading cause of morbidity and mortality in the United States. We aimed to characterize the prescribing of opioids and benzodiazepines to patients who had previously presented with an opioid or benzodiazepine overdose. Methods: This was a retrospective chart review of patients who were prescribed an opioid or benzodiazepine in a 1-month time-period in 2015 (May) and had a previous presentation for opioid or benzodiazepine overdose at a large healthcare system. Results: We identified 60,129 prescribing encounters for opioids and/or benzodiazepines, 543 of which involved a patient with a previous opioid or benzodiazepine overdose. There were 404 unique patients in this cohort, with 97 having more than 1 visit including a prescription opioid and/or benzodiazepine. A majority of prescriptions (54.1%) were to patients with an overdose within the 2 years of the documented prescribing encounter. Prescribing in the outpatient clinical setting represented half (49.9%) of encounters, whereas emergency department prescribing was responsible for nearly a third (31.5%). Conclusions: In conclusion, prescribing of opioids and benzodiazepines occurs across multiple locations in a large health care system to patients with a previous overdose. Risk factors, such as previous overdose should be highlighted through clinical decision support tools in the medical record to help prescribers identify patients at higher risk and to mobilize resources for this patient population. Prescribers need further education on factors that place their patients at risk for opioid use disorder and on alternative therapies to opioids and benzodiazepines. [ABSTRACT FROM AUTHOR]

Opioids are commonly prescribed for the management of acute orthopedic trauma pain, including nonoperative distal radius fractures. This prospective study aimed to determine if a clinical decision support intervention influenced prescribing decisions for patients with known risk factors. We sought to quantify frequency of opioid prescriptions for acute nonoperative distal radius fractures treated. We performed a prospective study at one large health care system. Utilizing umbrella code S52.5, we identified all distal radius fractures treated nonoperatively, and the encounters were merged with the Prescription Reporting with Immediate Medication Mapping (PRIMUM) database to identify encounters with opioid prescriptions and patients with risk factors for opioid use disorder. We used multivariable logistic regression to determine patient characteristics associated with the prescription of an opioid. Among encounters that triggered the PRIMUM alert, we calculated the percentage of encounters where the PRIMUM alert influenced the prescribing decision. Of 2984 encounters, 1244 (41.7%) included an opioid prescription. Age increment is a significant factor to more likely receive opioid prescriptions (p < 0.0001) after adjusting for other factors. Among encounters where the physician received an alert, those that triggered the alert for early refill were more likely to influence physicians' opioid prescribing when compared with other risk factors (p = 0.0088). Over 90% of patients (106/118) continued to receive an opioid medication despite having a known risk factor for abuse. Additionally, we found older patients were more likely to be prescribed opioids for nonoperatively managed distal radius fractures. [ABSTRACT FROM AUTHOR]

Background: Prescription narcotic overdoses and abuse have reached alarming numbers. To address this epidemic, integrated clinical decision support within the electronic medical record (EMR) to impact prescribing behavior was developed and tested.Methods: A multidisciplinary Expert Panel identified risk factors for misuse, abuse, or diversion of opioids or benzodiazepines through literature reviews and consensus building for inclusion in a rule within the EMR. We ran the rule "silently" to test the rule and collect baseline data.Results: Five criteria were programmed to trigger the alert; based on data collected during a "silent" phase, thresholds for triggers were modified. The alert would have fired in 21.75 % of prescribing encounters (1.30 % of all encounters; n = 9998), suggesting the alert will have a low prescriber burden yet capture a significant number of at-risk patients.Conclusions: While the use of the EMR to provide clinical decision support is not new, utilizing it to develop and test an intervention is novel. We successfully built an alert system to address narcotic prescribing by providing critical, objective information at the point of care. The silent phase data were useful to appropriately tune the alert and obtain support for widespread implementation. Future healthcare initiatives can utilize similar methodology to collect data prospectively via the electronic medical record to inform the development, delivery, and evaluation of interventions. [ABSTRACT FROM AUTHOR]