OBJECTIVES: A recent phase III trial showed that patients with advanced non-small cell lung cancer (NSCLC) whose tumors harbor specific EGFR mutations significantly benefit from first-line treatment with erlotinib compared to chemotherapy. This study sought to estimate the budget impact if coverage for EGFR testing and erlotinib as first-line therapy were provided in a hypothetical 500,000-member managed care plan. METHODS: The budget impact model was developed from a US health plan perspective to evaluate administration of the EGFR test and treatment with erlotinib for EGFR-positive patients, compared to non-targeted treatment with chemotherapy. The eligible patient population was estimated from age-stratified SEER incidence data. Clinical data were derived from key randomized controlled trials. Costs related to drug, administration, and adverse events were included. Sensitivity analyses were conducted to assess uncertainty. RESULTS: In a plan of 500,000 members, it was estimated there would be 91 newly diagnosed advanced NSCLC patients annually; 11 are expected to be EGFR-positive. Based on the testing and treatment assumptions, it was estimated that 3 patients in Scenario 1 and 6 patients in Scenario 2 receive erlotinib. Overall health plan expenditures would increase by $0.013 per member per month (PMPM). This increase is largely attributable to erlotinib drug costs, in part due to lengthened progression-free survival and treatment periods experienced in erlotinib-treated patients. EGFR testing contributes slightly, whereas adverse event costs mitigate the budget impact. The budget impact did not exceed $0.019 PMPM in sensitivity analyses. CONCLUSIONS: Coverage for targeted first-line erlotinib therapy in NSCLC likely results in a small budget impact for US health plans. The estimated impact may vary by plan, or if second-line or maintenance therapy, dose changes/interruptions, or impact on patients' quality-of-life were included.
OBJECTIVES: A recent phase III trial showed that patients with advanced non-small cell lung cancer (NSCLC) whose tumors harbor specific EGFR mutations significantly benefit from first-line treatment with erlotinib compared to chemotherapy. This study sought to estimate the budget impact if coverage for EGFR testing and erlotinib as first-line therapy were provided in a hypothetical 500,000-member managed care plan. METHODS: The budget impact model was developed from a US health plan perspective to evaluate administration of the EGFR test and treatment with erlotinib for EGFR-positive patients, compared to non-targeted treatment with chemotherapy. The eligible patient population was estimated from age-stratified SEER incidence data. Clinical data were derived from key randomized controlled trials. Costs related to drug, administration, and adverse events were included. Sensitivity analyses were conducted to assess uncertainty. RESULTS: In a plan of 500,000 members, it was estimated there would be 91 newly diagnosed advanced NSCLCpatients annually; 11 are expected to be EGFR-positive. Based on the testing and treatment assumptions, it was estimated that 3 patients in Scenario 1 and 6 patients in Scenario 2 receive erlotinib. Overall health plan expenditures would increase by $0.013 per member per month (PMPM). This increase is largely attributable to erlotinib drug costs, in part due to lengthened progression-free survival and treatment periods experienced in erlotinib-treated patients. EGFR testing contributes slightly, whereas adverse event costs mitigate the budget impact. The budget impact did not exceed $0.019 PMPM in sensitivity analyses. CONCLUSIONS: Coverage for targeted first-line erlotinib therapy in NSCLC likely results in a small budget impact for US health plans. The estimated impact may vary by plan, or if second-line or maintenance therapy, dose changes/interruptions, or impact on patients' quality-of-life were included.
Entities:
Keywords:
Budget impact; Cost; Erlotinib; Non-small cell lung cancer
Authors: Rosa A van Amerongen; Valesca P Retèl; Veerle Mh Coupé; Petra M Nederlof; Maartje J Vogel; Wim H van Harten Journal: Ecancermedicalscience Date: 2016-10-28