The economic burden of Parkinson disease among Medicare beneficiaries.

BACKGROUND: The progressive nature of Parkinson disease (PD), together with a lack of curative treatments, contributes to its economic burden. OBJECTIVE: To estimate the longitudinal incremental costs attributable to PD among Medicare beneficiaries. METHODS: In this retrospective cohort study, we used data from the Chronic Conditions Data Warehouse to identify Medicare beneficiaries with and without PD-related claims identified from 2006 to 2014 with follow-up until 2015. We grouped PD cases and controls based on their survival profiles using a grouping algorithm that used the following baseline measures: age, race, sex, and comorbidity. We identified 3 survival groups and used them to stratify the descriptive annual cost estimates in the 9 years after the index date. We estimated the incremental 1-, 3-, and 5-year costs of PD using generalized linear models (GLM) that controlled for baseline factors. RESULTS: We identified 27,394 cases and controls who were grouped into 3 survival groups. The mean age of the full study sample was 73 years. No material differences were found in the incremental cost of PD across the survival groups. Based on the multivariable GLM, the 1-year incremental cost of PD was $9,625 (95% CI, $9,054-$10,197). The 3-year incremental cost of PD was $20,832 (95% CI, $19,390-$22,274). The 5-year incremental cost of PD was $27,466 (95% CI, 25,088-$29,844). CONCLUSIONS: Among Medicare beneficiaries, PD is associated with excess costs compared with controls. We did not identify substantial differences in the incremental cost of PD across the survival groups. DISCLOSURES:This study was funded by Pfizer Inc. The funding agreement did not impact the authors' independence in designing the study, collecting the data, interpreting the data, writing the manuscript, and submitting the manuscript for publication. Dr Onukwugha reports grants from Pfizer Inc for the conduct of this study and is an employee of University of Maryland, Baltimore, which received financial support from Pfizer Inc in connection with the development of this manuscript; Dr Shulman reports research funding from Pfizer Inc related to the current work, is an employee of University of Maryland, Baltimore, which received financial support from Pfizer Inc in connection with the development of this manuscript, and reports research funding from the NIH, The Rosalyn Newman Foundation, and the Eugenia and Michael Brin family unrelated to the current work and royalties from Oxford University Press and Johns Hopkins University Press; Ms Myers and Dr Alvir are employees and stockholders of Pfizer Inc; Dr Gray was an employee and stockholder of Pfizer Inc at the time of analysis.

Discharges against medical advice and 30-day healthcare costs: an analysis of commercially insured adults.

Aim: Prior literature detailing the consequences of a discharge against medical advice (DAMA) has not focused on costs. We examine costs following a DAMA. Materials & methods: This retrospective cohort study utilized the IQVIA PharMetrics® Plus database to identify adults hospitalized during 2007-2015. We compared 30-day postdischarge healthcare costs between matched DAMA and routinely discharged groups. Results: Thirty-day healthcare costs for the DAMA group were US$1078 (95% CI: US$434-1730) higher, driven by inpatient readmissions (US$979; 95% CI: US$415-1543) and emergency department visits (US$79; 95% CI: US$56-102). Costs due to prescription drug fills were lower in the DAMA group. Conclusion: A DAMA was associated with higher 30-day postdischarge healthcare costs compared with routine discharges.

Health Care Resource Utilization Associated With Parkinson Disease Among Medicare Beneficiaries.

OBJECTIVE: To compare differences in health care resource utilization (HcRU) over time between Medicare beneficiaries with and without Parkinson disease (PD). METHODS: This retrospective observational study used 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, health care provider encounters, neurologist visits, rehabilitation service visits, and non-PD medication fills. Relative to beneficiaries without PD, we reported adjusted incidence rate ratios (IRRs) and 95% confidence intervals (CIs) for beneficiaries with PD using generalized linear models 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), health care 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 policy makers make evidence-based decisions for the allocation of scarce health care 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.

Opioid and benzodiazepine dispensing and co-dispensing patterns among commercially insured pregnant women in the United States, 2007-2015.

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.

Healthcare Resource Utilization Following a Discharge Against Medical Advice: An Analysis of Commercially Insured Adults.

BACKGROUND: A discharge against medical advice (DAMA) is associated with adverse health outcomes. Its association with postdischarge healthcare resource utilization (HcRU) outside an inpatient setting is unknown. This information can help us understand how a DAMA may affect healthcare-seeking behavior following a hospital stay. We evaluated the relationship between a DAMA and 30-day postdischarge HcRU. METHODS: This retrospective cohort study uses a 10% random sample of enrollees in the IQVIA PharMetrics® Plus database. We included individuals aged 18 to 64 years with an inpatient admission during 2007-2015 and continuous insurance coverage. We defined comparison groups as DAMA and routine discharge. Both groups were matched on baseline covariates. We quantified the association between a DAMA and 30-day HcRU, as well as 90-day for sensitivity analysis, with use of generalized linear models for binary outcomes (inpatient readmissions, emergency department [ED] visits) and count outcomes (physician office visits, nonphysician outpatient encounters, prescription drug fills). RESULTS: Of the 457,530 individuals in the unmatched sample, 2,245 (0.5%) had a DAMA. In the matched sample, a DAMA was positively associated with an ED visit (adjusted odds ratio, 2.28; 95% confidence interval, 1.90-2.72) but not with an inpatient readmission. There were no differences between groups based on the count outcomes. A DAMA was positively associated with 90-day HcRU (ie, inpatient readmission, ED visit, and prescription drug fills). CONCLUSION: The relationship between a DAMA and HcRU varied with the HcRU category and postdischarge time interval. This examination of HcRU in the inpatient and outpatient settings provides important information about outcomes following a DAMA.

Chronic non-cancer pain and its association with healthcare use and costs among individuals with obstructive sleep apnea.

Aim: To evaluate the impact of chronic non-cancer pain (CNCP) on healthcare use and costs among individuals diagnosed with obstructive sleep apnea (OSA). Materials & methods: Using the IQVIA PharMetrics® Plus database, we identified individuals (18-64 years old) during 2007-2014, divided into two groups: OSA + CNCP versus OSA-only. Generalized linear models were used to analyze binary and count outcomes. Results: Relative to OSA-only controls, OSA + CNCP cases had increased odds for inpatient and emergency department visits and higher rates for physician office visits, non-physician outpatient visits, and prescription drug fills. Relative to controls, direct healthcare costs for cases were higher, primarily driven by inpatient and non-physician outpatient visit costs. Conclusion: Relative to OSA-only controls, OSA + CNCP cases displayed increased healthcare use and costs across all points of service.

Patterns of prescription opioid utilization among adolescents and adults with comorbid chronic pain and mental health diagnosis.

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.

Follicular lymphoma treatment patterns between 2000 and 2014: a SEER-Medicare analysis of elderly patients.

Aim: Characterize follicular lymphoma (FL) treatment patterns among elderly patients using a dataset with longer follow-up time. Materials & methods: Using the linked Surveillance, Epidemiology and End Results-Medicare data, we identified patients diagnosed with FL between 2000 and 2013 with claims data until 2014. We investigated the treatments received and assigned them to lines of treatment. Results: We identified 10,238 elderly patients. Over a 4.7-year median follow-up, 78% of the patients received at least first-line treatment. Fewer individuals received second-line (47%) and third-line (30%) treatments. RCHOP (rituximab, cyclophosphamide, doxorubicin, vincristine and prednisolone), RCVP (rituximab, cyclophosphamide, vincristine and prednisolone) and rituximab monotherapy were the most common treatment regimens. Conclusion: One in five elderly patients did not receive FL-directed therapy. The most common treatment regimens were limited to RCHOP, RCVP and rituximab monotherapy.

Patient-level Factors Associated With the Initial Management of Older Adults Diagnosed With Follicular Lymphoma: A Surveillance, Epidemiology, and End Results-Medicare Analysis.

INTRODUCTION: We evaluated patient-level factors associated with the initial management of older adults diagnosed with follicular lymphoma (FL). MATERIALS AND METHODS: Using linked Surveillance, Epidemiology, and End Results-Medicare (SEER-Medicare) data; we identified 11,500 beneficiaries aged ≥ 66 years, diagnosed with FL between 2000 and 2013. A logistic regression model was used to estimate adjusted odds ratios (AORs) for factors associated with the receipt of active treatment versus watchful waiting (WW) as an initial management strategy. A multinomial logistic regression model was used to predict factors associated with receipt of specific active treatments, namely chemoimmunotherapy, rituximab monotherapy, chemotherapy, or radiation as compared with WW. RESULTS: Overall, the initial management strategies adopted were WW (49%), chemoimmunotherapy (25%), radiation (10%), rituximab monotherapy (9%), and chemotherapy (7%). In reference to WW, grade III FL (AOR, 2.21; 95% confidence interval [CI], 1.99-2.46), increasing disease stage (Stage IV AOR, 1.80; 95% CI, 1.62-2.00), and use of preventive services (AOR, 1.18; 95% CI, 1.07-1.30) were associated with increased odds of active treatment receipt. Age > 80 years (AOR, 0.79; 95% CI, 0.71-0.87), Non-Hispanic African-American race (AOR, 0.64; 95% CI, 0.50-0.80), and state buy-in coverage (AOR, 0.81; 95% CI, 0.70-0.94) were associated with decreased odds of active treatment receipt. In reference to WW, the multinomial logistic regression model displayed differences in the receipt of rituximab-based therapies by age and comorbidity burden. Non-Hispanic African-American race and state buy-in coverage were associated with decreased odds of receiving rituximab-based therapies. CONCLUSION: The present analysis identifies disparities in the initial management of older adults with FL owing to race and socioeconomic status. Future research should examine implications for subsequent treatment and health outcomes.

Costs associated with follicular lymphoma among individuals diagnosed with non-Hodgkin lymphoma: a longitudinal analysis using SEER-Medicare data.

There is limited information on the cost burden associated with follicular lymphoma (FL) and how it compares to other non-Hodgkin lymphoma (NHL) subtypes. We examined the direct medical costs associated with FL and estimated the incremental 3-year cost of FL compared to other NHL subtypes. Using the linked Surveillance, Epidemiology and End Results-Medicare dataset, we identified 16,691 NHL patients aged 66 years or older who were diagnosed with NHL between 2007 and 2013. The mean 3-year cost among the full NHL sample was $120,120 (standard error (SE) 839). The mean 3-year cost per patient was $114,443 (SE 1738) for FL and $121,402 (SE 950) for non-FL subtypes. The incremental 3-year cost of FL compared to non-FL was US$-5458 (95% confidence interval: US$-9325 to US$-1590). Longitudinally, FL was less costly than other NHL subtypes in the first year only, and became more expensive in the second and third years.

Co-use of alcohol, tobacco, and licit and illicit controlled substances among pregnant and non-pregnant women in the United States: Findings from 2006 to 2014 National Survey on Drug Use and Health (NSDUH) data.

BACKGROUND: The use, misuse and co-use of alcohol, cannabis, tobacco, and other licit and illicit controlled substances has increased in past decades leading to higher rates of morbidity, overdose, and mortality in women of reproductive age. Co-use compounds the adverse health effects of substance use compared to single-use of similar substances. Little is known about the full range of substance combinations used by pregnant and non-pregnant women. We sought to describe patterns of co-use of alcohol, tobacco, and controlled substances, and examine correlates of co-use in a nationally-representative sample of women. METHODS: Cross-sectional study using self-reported survey data from 2006 to 2014 for women ages 18-49 years (N = 160,371) in National Survey on Drug Use and Health data. We use weighted proportions and 95% confidence intervals (CI) to report differences in substance use patterns in pregnant and non-pregnant women. Multivariate logistic regression models assessed association between characteristics and type of substance use pattern. RESULTS: Prevalence of substance co-use among pregnant women is 5.1% and among non-pregnant women is 23.6%. Nearly all of the most frequent co-use patterns included alcohol, cannabis, or tobacco. Determinants of co-use among pregnant women included: younger age (18-25 years) compared to ≥ 26 years [AOR (95% CI): 1.81 (1.18, 2.80)]; and past year history of substance use [AOR 5.42 (3.59, 8.20)]. CONCLUSIONS: Co-use of several substances, including and especially of tobacco, alcohol and cannabis, persists among pregnant women in the United States. Efforts that aim to improve maternal and child health should address the complexity of substance use during pregnancy, including and beyond opioids.