Opioid Prescribing Rate for Nonoperative Distal Radius Fractures and Clinician Response to a Clinical Decision Support Alert.

BACKGROUND: Opioids are commonly prescribed for the management of acute orthopedic trauma pain, including nonoperative distal radius fractures. OBJECTIVES: 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. METHODS: 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. RESULTS: 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). CONCLUSION: 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.

Adherence to legislation limiting opioid prescription duration following musculoskeletal injury.

OBJECTIVES: North Carolina had implemented legislation (Strengthen Opioid Misuse Prevention (STOP) Act) limiting opioid prescriptions to 5 days for acute pain and 7 days for post-operative pain. This study aimed to identify patient, prescriber, and facility characteristics associated with STOP Act adherence for patients with acute or post-surgical musculoskeletal (MSK) conditions. DESIGN: A three-level hierarchical logistic regression model was used to predict odds of adherence with STOP Act duration limits, accounting for fixed and random effects at the patient, prescriber, and facility levels. SETTING: A large healthcare system in North Carolina. PATIENTS AND PARTICIPANTS: Patients (N = 6,849) presenting from 2018 to 2020 with a diagnosis of an acute MSK injury. INTERVENTIONS: The STOP Act limited the duration of opioid prescriptions in North Carolina. MAIN OUTCOME MEASURE: Prescriptions adhering to the STOP Act duration limits of 5 days (nonoperative) or 7 days (operative) were the primary outcome. RESULTS: Opioids were compliant with STOP Act duration limits in 69.3 percent of encounters, with 33 percent of variation accounted for by clinician and 29 percent by facility. Patients prescribed >1 opioid (odds ratio (OR) 0.46, 95 percent confidence interval (CI): 0.36, 0.58) had reduced odds of a compliant prescription; surgical patients had increased odds of a compliant prescription (outpatient surgery: OR 5.89, 95 percent CI: 2.43-14.29; inpatient surgery: OR 7.71, 95 percent CI: 3.04-19.56). Primary care sports medicine clinicians adhered to legislation less frequently than orthopedic surgeons (OR 0.38, 95 percent CI: 0.15, 0.97). CONCLUSIONS: Most prescriptions adhered to STOP Act legislation. Tailored interventions to improve adherence among targeted groups of prescribers, eg, those treating nonoperative injuries and sport medicine clinicians, could be useful.

Patients with glenohumeral arthritis are more likely to be prescribed opioids in the emergency department or urgent care setting.

OBJECTIVE: The objective is to quantify the rate of opioid and benzodiazepine prescribing for the diagnosis of shoulder osteoarthritis across a large healthcare system and to describe the impact of a clinical decision support intervention on prescribing patterns. DESIGN: A prospective observational study. SETTING: One large healthcare system. PATIENTS AND PARTICIPANTS: Adult patients presenting with shoulder osteoarthritis. INTERVENTIONS: A clinical decision support intervention that presents an alert to prescribers when patients meet criteria for increased risk of opioid use disorder. MAIN OUTCOME MEASURE: The percentage of patients receiving an opioid or benzodiazepine, the percentage who had at least one risk factor for misuse, and the percent of encounters in which the prescribing decision was influenced by the alert were the main outcome measures. RESULTS: A total of 5,380 outpatient encounters with a diagnosis of shoulder osteoarthritis were included. Twenty-nine percent (n = 1,548) of these encounters resulted in an opioid or benzodiazepine prescription. One-third of those who received a prescription had at least one risk factor for prescription misuse. Patients were more likely to receive opioids from the emergency department or urgent care facilities (40 percent of encounters) compared to outpatient facilities (28 percent) (p < .0001). Forty-four percent of the opioid prescriptions were for "potent opioids" (morphine milliequivalent conversion factor > 1). Of the 612 encounters triggering an alert, the prescribing decision was influenced (modified or not prescribed) in 53 encounters (8.7 percent). All but four (0.65 percent) of these encounters resulted in an opioid prescription. CONCLUSION: Despite evidence against routine opioid use for osteoarthritis, one-third of patients with a primary diagnosis of glenohumeral osteoarthritis received an opioid prescription. Of those who received a prescription, over one-third had a risk factor for opioid misuse. An electronic clinic decision support tool influenced the prescription in less than 10 percent of encounters.

Balancing Safety, Comfort, and Fall Risk: An Intervention to Limit Opioid and Benzodiazepine Prescriptions for Geriatric Patients.

Introduction: This study reports on the impact of a clinical decision support tool embedded in the electronic medical record and characterizes the demographics, prescribing patterns, and risk factors associated with opioid and benzodiazepine misuse in the older adult population. Significance: This study reports on prescribing patterns for patients ≥65 years-old who presented to Emergency Departments (ED) or Urgent Care (UC) facilities across a large healthcare system following a fall (n = 34,334 encounters; n = 25,469 patients). This system implemented a clinical decision support intervention which provides an alert when the patient has an evidence-based risk factor for prescription drug misuse; prescribers can continue, amend or cancel the prescription. Results: Of older adults presenting with a fall, 31.4% (N = 7986) received an opioid or benzodiazepine prescription. Women and younger patients (65-74) had a higher likelihood of receiving a prescription (P < .0001). 11% had ≥1 risk factor. Women were more likely to receive an early refill (P = .0002) and younger (65-74) men were more likely to have a past positive toxicology (P < .0001). A prescription was initiated in 8,591 encounters, and 946 (9.0%) triggered an alert. In 58 cases, the alert resulted in a prescription modification, and in 80 the prescription was canceled. Conclusions: Documented risk for opioid misuse in the elderly was 10% among patients presenting to the ED/UC after a fall. The dangers associated with opioid/benzodiazepine use increase with age as does fall risk. Awareness of risk factors is an important first step; more work is needed to address potentially hazardous prescriptions in this population.