Abstract
Aim: This study evaluated real-world healthcare resource utilization (HCRU), direct costs, and overall survival (OS) of patients who were Medicare beneficiaries and were newly diagnosed with myelofibrosis (MF) who filled ≥1 prescription of ruxolitinib versus those who did not. Patients and Methods: This was a study of the US Medicare fee-for-service database. Beneficiaries were aged ≥65 years with an MF diagnosis (index) between January 1, 2012 − December 31, 2017. Data were summarized descriptively. OS was estimated using Kaplan-Meier analysis. Results: Patients with ≥1 prescription fill of ruxolitinib (n = 2,787) had lower mean rates (per patient per month [PPPM]) versus patients who did not fill a prescription for ruxolitinib (n = 7,262) for hospitalizations (0.16 vs 0.32), length of inpatient stay (0.16 vs 2.44 days), emergency department visits (0.10 vs 0.14), physician office visits (4.68 vs 6.25), skilled nursing facility stays (0.02 vs 0.12), home health/durable medical equipment services (0.32 vs 0.47), and hospice visits (0.30 vs 1.70). Monthly medical costs were numerically lower in patients who had ≥1 fill of ruxolitinib versus those who did not fill a prescription for ruxolitinib ($6,553 vs $12,929), largely driven by inpatient costs ($3,428 vs $6,689). Pharmacy costs were $10,065 and $987 in patients who filled versus did not fill ≥1 prescription for ruxolitinib, respectively; total PPPM all-cause healthcare costs were $16,618 and $13,916, respectively. The median OS was 37.5 and 18.7 months for the cohorts of patients who filled versus did not fill ≥1 prescription for ruxolitinib, respectively (hazard ratio = 0.63, 95% CI = 0.59 − 0.67). Conclusions: Ruxolitinib is associated with reduced HCRU and direct costs of medical care in addition to increased survival, suggesting it to be a cost-effective advance for patients with MF.
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Gerds, A. T., Yu, J., Shah, A., Xi, A., Kumar, S., Scherber, R., & Parasuraman, S. (2023). Ruxolitinib for myelofibrosis in elderly non-transplant patients: healthcare resource utilization and costs. Journal of Medical Economics, 26(1), 843–849. https://doi.org/10.1080/13696998.2023.2224017
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