Cost-Effectiveness of PET Directed Versus Combined Modality Therapy for Early-Stage Favorable Hodgkin's Lymphoma.

INTRODUCTION: The standard of care for early-stage Hodgkin Lymphoma (HL) is combined modality therapy (CMT) consisting of chemotherapy and involved site radiation therapy (ISRT). Recent treatment de-escalation trials have assessed the impact of omitting radiation with the use of positron emission tomography (PET) and have suggested a detriment in progression free survival (PFS) for patients who do not receive radiation therapy (RT) but similar overall survival. The purpose of this study was to compare the cost-effectiveness of PET-directed therapy versus standard of care CMT. METHODS: This study used a cost-effectiveness Markov model simulating 5 year outcomes for 1 million patients with early-stage HL treated with either PET-directed therapy consisting of 2 cycles of ABVD chemotherapy ± ISRT or CMT consisting of 2 cycles of ABVD + ISRT. Patients progressed to no evidence of disease, progression of disease (PD), or death. Patients with PD underwent salvage therapy with high dose chemotherapy and stem cell transplant (HDC-SCT). The primary outcome measured was the incremental cost-effectiveness ratio. Deterministic sensitivity analyses were performed. RESULTS: We found that PET-directed therapy and CMT strategies were associated with costs of $47,362 and $41,167, respectively. The CMT strategy was equally as effective as the PET-directed therapy strategy with QALYs of 3.4. On 1-way sensitivity analyses, the model was most sensitive to CMT and HDC-SCT costs. Two-way sensitivity analyses showed the model was sensitive to the relative costs of these treatments. CONCLUSION: For patients with early-stage HL, CMT is the cost-effective strategy as compared with PET-directed therapy.

Opioid prescription patterns among radiation oncologists in the United States.

BACKGROUND: Radiation oncologists (ROs) play an important role in managing cancer pain; however, their opioid prescribing patterns remain poorly described. METHODS: The 2016 Medicare Physician Compare National Downloadable and the 2016 Medicare Part D Prescriber Data files were cross-linked to identify RO-written opioid prescriptions. RESULTS: Of 4,627 identified ROs, 1,360 (29.3%) wrote >10 opioid prescriptions. The average number of opioid prescriptions written was significantly (P ≤ .05) associated with the following RO characteristics: sex [13.1 ± 36.5 male vs 7.5 ± 16.9 female]; years since medical school graduation [4.5 ± 11.5 1-10 years vs 12.6 ± 26.0 11-24 years vs 13.3 ± 40.9 ≥25 years]; practice size [15.5 ± 44.6 size ≤10 vs 13.3 ± 25.9 size 11-49 vs 8.5 ± 12.7 size 50-99 vs 8.8 ± 26.9 size ≥100]; Medicare Physician Quality Reporting System (PQRS) participation [12.6 ± 31.8 yes vs 7.0 ± 35.4 no]; and practice location [17.4 ± 47.0 South vs 10.6 ± 29.4 Midwest vs 8.1 ± 13.9 West vs 6.9 ± 15.2 Northeast]. On multivariable regression modeling, male sex (RR 1.29, 95% CI 1.22-1.35, P < .001), ≥25 years since graduation (RR 0.78, 95% CI 0.64-0.70, 1-10 years vs ≥25 years; RR 1.00, 95% CI 0.96 - 1.04, 11-24 years vs ≥25 years; P < .001), practice size <10 members (RR 1.51, CI 1.44-1.59, ≤10 vs ≥100 members, RR 1.27, CI 1.20-1.34, 10-49 vs ≥100 members, RR 0.86, CI 0.80-0.92, 50-99 vs ≥100 members, P < .001), PQRS participation (RR 1.12, CI 1.04-1.19, P < .002), and Southern location (RR 0.67, CI 0.64-0.70, Midwest vs South; RR 0.39, CI 0.37-0.41, Northeast vs South; RR 0.43, CI 0.41-0.46, West vs South; P < .001) were predictive of higher opioid prescription rates. CONCLUSIONS: Factors associated with increased number of RO-written opioid prescriptions were male sex, ≥25 years since graduation, group practice <10, PQRS participation, and Southern location. Additional research is required to establish optimal opioid prescribing practices for ROs.