Literature Collection

Background Prescription opioid use and related harms have dramatically increased in many countries. Objective To investigate pharmacists' preparedness and confidence to intervene when concerned about supplying prescription opioids and strategies used when concerned about supplying these opioids. Setting Online survey among a representative sample of Australian community pharmacists. Method Pharmacists completed an online survey about their concerns, comfort and strategies used when supplying prescription opioids. Correlates of comfort to intervene and active intervention strategies were explored using multivariable ordered logistic regression and adjusted odd ratios (aOR) and 95% confidence intervals were reported. Main outcome measures Comfort to intervene when concerned about supplying prescription opioids and pharmacists' discussing these concerns with the patient, and the prescriber. Results Most pharmacists were concerned about supplying prescription opioids to patients in the past week. Being female [adjusted odds ratio (aOR) 0.63; 95% confidence interval (CI) 0.47-0.85] was associated with reduced comfort, while practicing within a large chain pharmacy (aOR 1.52, 95% CI 1.08-2.15) was associated with greater comfort to intervene when concerned about prescription opioid supply. Pharmacists practicing in rural areas were significantly less likely than those in capital cities to discuss concerns with patients (aOR 0.66, 95% CI 0.45-0.97). Post-graduate education about substance use disorders was associated with increased likelihood of discussing concerns with patients (aOR 1.54, 95% CI 1.12-2.13). Pharmacists that indicated greater comfort in intervening when concerned about prescription opioids were more likely to discuss concerns with both patients and prescribers. Females were significantly more likely to discuss concerns with prescribers (aOR 1.67, 95% CI 1.22-2.29), whereas years of practice reduced the odds of discussing concerns with prescribers (aOR 0.98, 95% CI 0.97-0.99). Conclusion Considering specific factors such as gender and years of practice to help target pharmacist training may lead to increased comfort in discussing concerns related to prescription opioids, which in turn may improve communication with prescribers and patients.

The Helping End Addictions Long Term (HEALing) Communities Study (HCS) seeks to significantly reduce overdose deaths in 67 highly impacted communities in Kentucky (KY), Massachusetts (MA), New York (NY), and Ohio (OH) by implementing evidence-based practices (EBPs) to reduce overdose deaths. The Opioid-overdose Reduction Continuum of Care Approach (ORCCA) organizes EBP strategies under three menus: Overdose Education and Naloxone Distribution (OEND), Medication Treatment for Opioid Use Disorder (MOUD), and Safer Prescribing and Dispensing Practices (SPDP). The ORCCA sets requirements for strategy selection but allows flexibility to address community needs. This paper describes and compiles strategy selection and examines two hypotheses: 1) OEND selections will differ significantly between communities with higher versus lower opioid-involved overdose deaths; 2) MOUD selections will differ significantly between urban versus rural settings. METHODS: Wave 1 communities (n = 33) provided data on EBP strategy selections. Selections were recorded as a combination of EBP menu, sector (behavioral health, criminal justice, and healthcare), and venue (e.g., jail, drug court, etc.); target medication(s) were recorded for MOUD strategies. Strategy counts and proportions were calculated overall and by site (KY, MA, NY, OH), setting (rural/urban), and opioid-involved overdose deaths (high/low). RESULTS: Strategy selection exceeded ORCCA requirements across all 33 communities, with OEND strategies accounting for more (40.8%) than MOUD (35.1%), or SPDP (24.1%) strategies. Site-adjusted differences were not significant for either hypothesis related to OEND or MOUD strategy selection. CONCLUSIONS: HCS communities selected strategies from the ORCCA menu well beyond minimum requirements using a flexible approach to address unique needs.