Association between cannabis laws and opioid prescriptions among privately insured adults in the US.

We examine the association between opioid prescription patterns in privately insured adults and changes in state cannabis laws among five age groups (18-25, 26-35 36-45, 46-55 and 56-64 years). Using the 2016 Clinformatics Data Mart, a nationwide commercial health insurance database, we performed a cross-sectional analysis of two types of opioid prescribing (>30-day and >90-day prescriptions) among all adults aged 18-64 based on the stringency of cannabis laws. We found a significant interaction between age and cannabis law on opioid prescriptions. Age-stratified multilevel multivariable analyses showed lower opioid prescription rates in the four younger age groups only in states with medical cannabis laws, when considering both >30 day and >90 day opioid use [>30 day adjusted odds ratio (aOR) = 0.56, in 18-25, aOR = 0.67 in 26-35, aOR = 0.67 in 36-45, and aOR = 0.76 in 46-54 years; >90 day aOR = 0.56, in 18-25, aOR = 0.68 in 26-35, aOR = 0.69 in 36-45, and aOR = 0.77 in 46-54 years, P < 0.0001 for all]. This association was not significant in the oldest age group of 55-64 years. There was no significant association between opioid prescriptions and other categories of cannabis laws (recreational use and decriminalization) in any of the age groups studied.

Effect of Retail Clinic Use on Continuity of Care Among Medicare Beneficiaries.

PURPOSE: We examined the relationship between retail clinic use and primary care physician (PCP) continuity among Medicare enrollees in the Houston metropolitan area. METHODS: We identified retail clinic providers in the study area using a 2015 health care provider database. Medicare claims data from enrollees who received care from retail clinics in 2015 were compared with propensity score-matched sample of enrollees who received no care from retail clinics. RESULTS: There were 2.32 retail clinic visits per 1000 beneficiaries in a month. Approximately 1.3% of Medicare beneficiaries used retail clinics. Retail clinic users were more likely to be aged 65 to 74 years, female, White, and Medicaid ineligible. In multivariable analyses with adjustments for covariates, significant predictors of retail clinic use included having ≥3 chronic conditions (Odds Ratio [OR], 1.53 vs no condition), living within 1 mile of a retail clinic (OR, 2.44 vs living ≥5 miles), and having no PCP (OR, 1.11 vs having PCP). Compared with propensity-matched controls, among enrollees with an identified PCP, likelihood of seeing their PCP (OR, 0.82; 95% CI, 0.73 to 0.93) and continuity of care was lower (0.75 ± 0.33 vs 0.80 ± 0.31) if they had retail clinic visits. CONCLUSIONS: Retail clinic use was lower in the elderly population compared with the previously published rate in the younger populations. The lower rate of continuity of care observed among retail clinic users is concerning, especially for those with chronic medical conditions.