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Objective:To compare differences in healthcare resource utilization (HcRU) over time between Medicare beneficiaries with and without Parkinson’s disease (PD).Methods:This retrospective observational study utilized the Chronic Conditions Data Warehouse (5% Medicare sample) between 2005 and 2015. In a propensity-score matched (age, sex, race, and comorbidity adjusted) sample of beneficiaries with and without PD, we examined all-cause HcRU due to inpatient admissions, emergency department (ED) admissions, skilled nursing facility (SNF) admissions, healthcare provider encounters, neurologist visits, rehabilitation service visits, and non-PD medication fills. Relative to beneficiaries without PD, we reported adjusted incidence rate ratios (IRR) and 95% confidence intervals (CI) for beneficiaries with PD using generalized linear models (GLM) with log link and negative binomial variance functions.Results:A total of 467,064 Medicare enrollees (unmatched sample) met the inclusion criteria. Of these, 3.3% had PD. In the matched sample and relative to beneficiaries without PD, beneficiaries with PD displayed higher rates of inpatient admissions (IRR: 1.29; 95% CI: 1.24, 1.34), ED admissions (IRR: 1.31; 95% CI: 1.27, 1.34); SNF admissions (IRR: 2.00; 95% CI: 1.92, 2.09), healthcare provider encounters (IRR: 1.18; 95% CI: 1.16, 1.20), neurologist visits (IRR: 5.57; 95% CI: 5.35, 5.78), rehabilitation service visits (IRR: 1.47; 95% CI: 1.41, 1.53), and non-PD medication fills (IRR: 1.10, 95% CI: 1.08, 1.11) over time.Conclusion:These results reflect patterns of medical care among Medicare beneficiaries with PD. The findings can help clinicians, payers, and policymakers make evidence-based decisions for the allocation of scarce healthcare resources for PD management.Classification of evidence:This study provides Class II evidence that Medicare beneficiaries with PD use more health care resources than matched controls without PD.

Background Little is known about benzodiazepine and opioid-benzodiazepine co-dispensing patterns among pregnant women. Understanding these patterns is necessary to mitigate high-risk medication use during pregnancy. Our objective in this analysis was to evaluate opioid and benzodiazepine dispensing and co-dispensing patterns among commercially insured pregnant women in the United States. Methods This retrospective study used a 10% random sample of commercially insured enrollees from the IQVIA™ Adjudicated Health Plan Claims Data from 2007 to 2015. The study included women (12–55 years of age) with completed pregnancies who had continuous medical and prescription drug coverage from 3 months prior to the date of conception through 3 months post-delivery. We estimated the prevalence of opioid and benzodiazepine dispensing and co-dispensing before, during, and after pregnancy, and evaluated trends in dispensing patterns across the study period (2007–2015) using Cochrane-Armitage tests. Chi-square tests were used to examine differences in demographic and clinical characteristics by dispensing and co-dispensing patterns. Among women that received an opioid or benzodiazepine during pregnancy, logistic regression models were used to quantify the association between sample characteristics and dispensing patterns (co-dispensing vs single dispensing). Results Of 168,025 pregnant women that met our inclusion criteria, 10.1% received at least one opioid and 2.0% received at least one benzodiazepine during pregnancy, while 0.5% were co-dispensed these drugs. During the study period (2007 vs 2015), prevalence of opioid dispensing during pregnancy decreased from 11.2 to 8.6% (p <  0.01); while benzodiazepine dispensing increased from 1.3 to 2.9% (p <  0.01), and the prevalence of co-dispensing, while low and stable, increased slightly from 0.39 to 0.44% (p <  0.01). Older age, a higher comorbidity burden, pain diagnosis, anxiety diagnosis, and alcohol, tobacco, and drug use disorders, were all associated with an increased odds of co-dispensing during pregnancy. Conclusions This study provides evidence that while opioid dispensing during pregnancy has decreased in the past decade, benzodiazepine dispensing has increased. The prevalence of opioid-benzodiazepine co-dispensing was rare and remained fairly stable during our study period. Those co-dispensed both drugs had a higher prevalence of adverse birth outcomes. Further research to establish the potentially causal relationship between opioid and benzodiazepine co-dispensing and adverse birth outcomes should be undertaken.

Our goal was to examine the association between mental health disorders (MHD) and subsequent risk of opioid use among commercially insured youth and adults (aged 14-64 years) with comorbid chronic noncancer pain (CNCP) conditions. We conducted a retrospective cohort study using IQVIA Health Plan Claims database from January 1, 2006, to December 31, 2015. Chronic noncancer pain was defined as any diagnosis of back, head, neck, arthritis, or chronic pain (index date). Mental health disorders were assessed in the 12 months before the index pain diagnosis. Based on days supply (none, acute, and chronic) and average daily dose (none, low, medium, and high), we constructed a 7-level categorical dependent measure of opioid use. We estimated the overall prevalence of MHD and opioid receipt. Among those with CNCP, multinomial logistic regression (AOR; 95 confidence interval) was used to estimate the association of MHD with opioid receipt. Among 879,815 individuals diagnosed with CNCP, 143,923 (16.4%) had comorbid MHD. Chronic/high-dose use of opioids was more common among those with CNCP and MHD compared to those with only CNCP. After adjusting for demographic and clinical factors, individuals with comorbid CNCP and MHD were significantly more likely to be prescribed opioids compared to those with only CNCP conditions. This effect varied by average daily dose and days supply: acute/low dose (1.08; 1.07-1.08); chronic/low dose (1.49; 1.49-1.50); acute/medium dose (1.07; 1.07-1.08); chronic/medium dose (1.61; 1.61-1.62); acute/high dose (1.03; 1.02-1.03); and chronic/high dose (1.53; 1.53-1.54). In individuals with CNCP, having a MHD was a strong predictor of prescription opioid use, particularly chronic use.