Evaluation of an Opioid Overdose Composite Risk Score Cutoff in Active Duty Military Service Members.

OBJECTIVE: To evaluate the current cutoff score and a recalibrated adaptation of the Veterans Health Administration (VHA) Risk Index for Serious Prescription Opioid-Induced Respiratory Depression or Overdose (RIOSORD) in active duty service members. DESIGN: Retrospective case-control. SETTING: Military Health System. SUBJECTS: Active duty service members dispensed ≥ 1 opioid prescription between January 1, 2018, and December 31, 2019. METHODS: Service members with a documented opioid overdose were matched 1:10 to controls. An active duty-specific (AD) RIOSORD was constructed using the VHA RIOSORD components. Analyses examined the risk stratification and predictive characteristics of two RIOSORD versions (VHA and AD). RESULTS: Cases (n = 95) were matched with 950 controls. Only 6 of the original 17 elements were retained in the AD RIOSORD. Long-acting or extended-release opioid prescriptions, antidepressant prescriptions, hospitalization, and emergency department visits were associated with overdose events. The VHA RIOSORD had fair performance (C-statistic 0.77, 95% CI 0.75, 0.79), while the AD RIOSORD did not demonstrate statistically significant performance improvement (C-statistic 0.78, 95% CI, 0.77, 0.80). The DoD selected cut point (VHA RIOSORD > 32) only identified 22 of 95 ORD outcomes (Sensitivity 0.23), while an AD-specific cut point (AD RIOSORD > 16) correctly identified 53 of 95 adverse events (Sensitivity 0.56). CONCLUSIONS: Results highlight the need to continually recalibrate predictive models and to consider multiple measures of performance. Although both models had similar overall performance with respect to the C-statistic, an AD-specific index threshold improves sensitivity. The calibrated AD RIOSORD does not represent an end-state, but a bridge to a future model developed on a wider range of patient variables, taking into consideration features that capture both care received, and care that was not received.

Persistent Opioid Use After Combat Injury and Subsequent Long-term Risk of Abuse: A Retrospective Cohort Study.

OBJECTIVE: To determine whether persistent opioid use after injury is associated with subsequent long-term development of clinically recognized opioid abuse. SUMMARY BACKGROUND DATA: Opioid abuse is an epidemic in the United States and trauma can initiate persistent use; however, it remains unclear whether persistent opioid use contributes to the subsequent development of opioid abuse. The care of combat casualties by the Departments of Defense and Veterans Affairs uniquely allows investigation of this long-term outcome. METHODS: This retrospective cohort study randomly selected 10,000 battle-injured United States military personnel. We excluded patients who died during initial hospitalization or within 180 days of discharge, had a preinjury opioid abuse diagnosis, or had missing data in a preselected variable. We defined persistent opioid use as filling an opioid prescription 3 to 6 months after discharge and recorded clinically recognized opioid abuse using relevant diagnosis codes. RESULTS: After exclusion, 9284 subjects were analyzed, 2167 (23.3%) of whom developed persistent opioid use. During a median follow-up time of 8 years, 631 (6.8%) patients developed clinically recognized opioid abuse with a median time to diagnosis of 3 years. Injury severity and discharge opioid prescription amount were associated with persistent opioid use after trauma. After adjusting for patient and injury-specific factors, persistent opioid use was associated with the long-term development of clinically recognized opioid abuse (adjusted hazard ratio, 2.39; 95% confidence interval, 1.99-2.86). CONCLUSIONS: Nearly a quarter of patients filled an opioid prescription 3 to 6 months after discharge, and this persistent use was associated with long-term development of opioid abuse.

Effect of Pharmacist Email Alerts on Concurrent Prescribing of Opioids and Benzodiazepines by Prescribers and Primary Care Managers: A Randomized Clinical Trial.

Importance: Policy makers have sought to discourage concurrent prescribing of opioids and benzodiazepines (coprescribing) because it is associated with overdose. Email alerts sent by pharmacists may reduce coprescribing, but this intervention lacks randomized evidence. Objective: To investigate whether pharmacist emails to practitioners caring for patients who recently received opioids and benzodiazepines reduce coprescribing of these medications. Design, Setting, and Participants: Randomized clinical trial (intention to treat) conducted in 2019-2021 of patients and their practitioners (prescribers and primary care managers) in the National Capital Region of the Military Health System. Participants were 2237 patients who were recently coprescribed opioids and benzodiazepines. These patients had 789 practitioners eligible for emails. Interventions: Patients were randomized to email alerts to their practitioners or as-usual care. Clinical pharmacists sent the email alert. Messages were standardized and designed to facilitate coordination between practitioners, increase awareness of guidelines, and provide action steps and resources. Main Outcomes and Measures: The primary outcomes were patients' days received of opioids, benzodiazepines, and concurrent opioids and benzodiazepines during the 90 days following enrollment evaluated using 1-sided hypothesis tests. Secondary outcomes included total prescribing of opioids and benzodiazepines by patients' practitioners, including to patients outside the study, to test for broader outcomes on their prescribing. Results: Of 2237 patients, 1187 were assigned to treatment and 1050 to control; 1275 (57%) were women. Patients received a mean (SD) of 31 (44) days of opioids and 33 (34) days of benzodiazepines in the 90 days before enrollment. There were no detected differences in the primary end points, including patients' receipt of opioids (adjusted difference, 1.1 days; 95% CI, -∞ to 3.0; P = .81), benzodiazepines (adjusted difference, -0.6 days; 95% CI, -∞ to 1.4; P = .30), and opioids and benzodiazepines together (adjusted difference, -0.1 days; 95% CI, -∞ to 0.7; P = .41). Of 789 practitioners, 429 were considered the treatment group, 325 were considered controls, and 35 were excluded. There were no detected differences in practitioners' total prescribing of opioids, benzodiazepines, or both drug classes together. Conclusions and Relevance: In this randomized clinical trial of pharmacist emails to practitioners, email alerts failed to detectably reduce coprescribing, highlighting the value of alternative approaches. Combining randomization with quality improvement activities may help stakeholders seeking evidence-based interventions to encourage guideline-concordant care. Trial Registration: ClinicalTrials.gov Identifier: NCT03887247.