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1.
BMJ Open ; 14(5): e082339, 2024 May 30.
Article in English | MEDLINE | ID: mdl-38816043

ABSTRACT

OBJECTIVE: To evaluate co-prescribing of sedatives hypnotics and opioids. DESIGN: Retrospective study evaluating the association of patient characteristics and comorbidities with coprescribing. SETTING AND PARTICIPANTS: Using the national Merative MarketScan Database between 2005 and 2018, we identified patients who received an incident sedative prescription with or without subsequent, incident opioid prescriptions within a year of the sedative prescription in the USA. OUTCOME MEASURES: Coprescription of sedative-hypnotics and opioids. RESULTS: A total of 2 632 622 patients (mean (SD) age, 43.2 (12.34) years; 1 297 356 (62.5%) female) received incident prescriptions for sedatives over the course of the study period. The largest proportion of sedative prescribing included benzodiazepines (71.1%); however, z-drugs (19.9%) and barbiturates (9%) were also common. About 557 845 (21.2%) patients with incident sedatives also received incident opioid prescriptions. About 59.2% of these coprescribed patients received opioids coprescription on the same day. Multivariate logistic regression findings showed that individuals with a comorbidity index score of 1, 2 or ≥3 (aOR 1.19 (95% CI 1.17 to 1.21), 1.17 (95% C 1.14 to 1.19) and 1.25 (95% C 1.2 to 1.31)) and substance use disorder (1.21 (95% C 1.19 to 1.23)) were more likely to be coprescribed opioids and sedatives. The likelihood of receiving both opioid and sedative prescriptions was lower for female patients (aOR 0.93; 95% CI 0.92 to 0.94), and those receiving a barbiturate (aOR 0.3; 95% CI 0.29 to 0.31) or z-drugs (aOR 0.67; 95% CI 0.66 to 0.68) prescriptions at the index date. CONCLUSIONS: Coprescription of sedatives with opioids was associated with the presence of comorbidities and substance use disorder, gender and types of sedatives prescribed at the index date. Additionally, more than half of the coprescribing occurred on the same day which warrants further evaluation of current prescribing and dispensing best practice guidelines.


Subject(s)
Analgesics, Opioid , Hypnotics and Sedatives , Humans , Hypnotics and Sedatives/therapeutic use , Female , Male , Analgesics, Opioid/therapeutic use , Retrospective Studies , Adult , Middle Aged , United States/epidemiology , Practice Patterns, Physicians'/statistics & numerical data , Drug Prescriptions/statistics & numerical data , Comorbidity , Benzodiazepines/therapeutic use , Logistic Models
2.
Int J Drug Policy ; 116: 104045, 2023 06.
Article in English | MEDLINE | ID: mdl-37156066

ABSTRACT

BACKGROUND: Unused opioid medication in the home increases risk of medication diversion, misuse, and unintended harm. The United States Federal Food and Drug Administration is currently considering the implementation of a risk evaluation and mitigation strategy (REMS) program that would require US pharmacists to provide drug disposal products with opioid prescriptions. Still, little is known about consumer preference for drug disposal method. The objective of this study was to identify product and program characteristics associated with consumer preference for at-home drug disposal products. METHODS: A 2x2x3x3 full-factorial design was employed to text-based vignettes representing opioid analgesic disposal scenarios. Each vignette varied on four characteristics: product cost (free vs paid), ease of use (a mail back envelope, bringing medication to a takeback site, and an at-home drug deactivation pouch), potential environmental impact (incineration), and point of access (pharmacy, community organization, and prescriber). Of the 36 possible vignettes, 12 were removed as they represented a non-realistic combination of vignette characteristics. The remaining 24 were administered to a panel of patients with controlled-substance use in the past six-months. Decision tree modeling and general linear mixed (GLM) models were used sequentially to identify product characteristics associated with patient drug preferences RESULTS: A total of 1,006 participants completed all vignette drug disposal scenarios. Regression tree analysis found that the most important predictor of use was cost followed by ease of access and product design. GLM showed that takeback programs offered at a pharmacy were the most preferred disposal option followed by at-home products (mailed envelope or deactivation system) dispensed with the prescription. CONCLUSION: Programs that provide disposal resources directly to the patient at no cost with their prescription are likely to optimize willingness to dispose. Findings support the FDA's plan for a REMS program requiring pharmacies to distribute mail-back envelopes to patients when dispensed opioids.


Subject(s)
Community Pharmacy Services , Pharmacists , Humans , Analgesics, Opioid , Point-of-Care Systems , Decision Trees
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