Opioid Prescribing Risk Factors in Nonoperative Ankle Fractures: The Impact of a Prospective Clinical Decision Support Intervention

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.

Impact of an opioid prescribing alert system on patients with posttraumatic stress disorder

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.