Treatment patterns, healthcare resource utilization, and costs in Medicare patients with diffuse large B-cell lymphoma: a retrospective claims analysis (2015-2020).

AIMS: To understand treatment patterns, healthcare resource utilization (HCRU), and the economic burden of diffuse large B-cell lymphoma (DLBCL) in elderly adults in the US. MATERIALS AND METHODS: This retrospective database analysis utilized US Centers for Medicare and Medicaid Services Medicare fee-for-service administrative claims data from 2015 to 2020 to describe DLBCL patient characteristics, treatment patterns, HCRU, and costs among patients aged ≥66 years. Patients were indexed at DLBCL diagnosis and required to have continuous enrollment from 12 months pre-index until 3 months post-index. HCRU and costs (USD 2022) are reported as per-patient per-month (PPPM) estimates. RESULTS: A total of 11,893 patients received ≥1-line (L) therapy; 1,633 and 391 received ≥2 L and ≥3 L therapies, respectively. Median (Q1, Q3) age at 1 L, 2 L, and 3 L initiation, respectively, was 76 (71, 81), 77 (72, 82), and 77 (72, 82) years. The most common therapy was R-CHOP (70.9%) for 1 L and bendamustine ± rituximab for 2 L (18.7%) and 3 L (17.4%). CAR T was used by 14.8% of patients in 3 L. Overall, 39.6% (1 L), 42.1% (2 L), and 47.8% (3 L) of patients had all-cause hospitalizations. All-cause mean (median [Q1-Q3]) costs PPPM during each line were $22,060 ($20,121 [$16,676-$24,597]) in 1 L, $30,027 ($20,868 [$13,416-$31,016]) in 2 L, and $47,064 ($25,689 [$15,555-$44,149]) in 3 L, with increasing costs driven primarily by inpatient expenses. Total all-cause 3 L mean (median [Q1-Q3]) costs PPPM for patients with and without CAR T were $153,847 ($100,768 [$26,534-$253,630]) and $28,466 ($23,696 [$15,466-$39,107]), respectively. CONCLUSIONS: No clear standard of care exists in 3 L therapy for older adults with relapsed/refractory DLBCL. The economic burden of DLBCL intensifies with each progressing line of therapy, thus underscoring the need for additional therapeutic options.

The effect of cannabis policies on treatment outcomes for cannabis use among U.S. adults.

BACKGROUND: Research has explored the impact of various medical cannabis policies on substance use treatment admission in recent years, but we know little about factors related to participants' treatment engagement and outcome. To fill this gap in the existing literature, this study used national data to examine the influence of cannabis policies (decriminalized, medical, and recreational) and referral sources (criminal justice vs. voluntary) on treatment completion and length of stay. METHODS: Data came from the Treatment Episode Data Set-Discharge (2006-2017) on adults 18+ whose primary drug at treatment admission was cannabis. Difference-in-difference analyses using logistic regression examined the effect of cannabis policies on outpatient treatment completion (yes/no; n = 2,192,807) and length of stay (more/fewer than 90 days; n = 1,863,585) in those with a criminal justice or voluntary referral source. RESULTS: Cannabis policy was not associated with treatment completion in either those with a criminal justice or voluntary referral source. Compared to individuals in states where cannabis use was strictly illegal, those in states with a decriminalization policy were less likely to stay in treatment for 91+ days regardless of the referral source. CONCLUSIONS: Cannabis policy appears to have a differential effect on treatment completion versus length of stay, with policy having no impact on successful treatment completion. Specifically, we found that decriminalization policies hinder treatment engagement past 90 days. In this sense, length of stay may be a more useful measure of treatment outcome for research than treatment completion moving forward. Furthermore, our study found that neither medical nor recreational policies affected length of stay or treatment completion, regardless of referral source.