Katja Vouk1, Ursula Benter1, Mayur M Amonkar2, Alessia Marocco3, Ceilidh Stapelkamp4, Sylvie Pfersch5, Laure Benjamin6. 1. a INC Research GmbH , Munich , Germany ; 2. b Novartis Pharmaceuticals Corporation , Wayne , PA , USA ; 3. c Laser Analytica , Milan , Italy ; 4. d Novartis Pharmaceuticals , London , UK ; 5. e Novartis Pharma S.A.S. , Rueil-Malmaison Cedex , France ; 6. f GlaxoSmithKline , Marly le Roi Cedex , France.
Abstract
OBJECTIVE: To estimate per-event cost and economic burden associated with managing the most common and/or severe metastatic melanoma (MM) treatment-related adverse events (AEs) in Australia, France, Germany, Italy, and the UK. METHODS: AEs associated with chemotherapy (dacarbazine, paclitaxel, fotemustine), immunotherapy (ipilimumab), and targeted therapy (vemurafenib) were identified by literature review. Medical resource use data associated with managing AEs were collected through two blinded Delphi panel cycles in each of the five countries. Published costs were used to estimate per-event costs and combined with AEs incidence, treatment usage, and MM prevalence to estimate the economic burden for each country. RESULTS: The costliest AEs were grade 3/4 events due to immunotherapy (Australia/France: colitis; UK: diarrhea) and chemotherapy (Germany/Italy: neutropenia/leukopenia). Treatment of AEs specific to chemotherapy (Australia/Germany/Italy/France: neutropenia/leukopenia) and targeted therapy (UK: squamous cell carcinoma) contributed heavily to country-specific economic burden. LIMITATIONS: Economic burden was estimated assuming that each patient experienced an AE only once. In addition, the context of settings was heterogeneous and the number of Delphi panel experts was limited. CONCLUSIONS: Management costs for MM treatment-associated AEs can be substantial. Results could be incorporated in economic models that support reimbursement dossiers. With the availability of newer treatments, establishment of a baseline measure of the economic burden of AEs will be crucial for assessing their impact on patients and regional healthcare systems.
OBJECTIVE: To estimate per-event cost and economic burden associated with managing the most common and/or severe metastatic melanoma (MM) treatment-related adverse events (AEs) in Australia, France, Germany, Italy, and the UK. METHODS: AEs associated with chemotherapy (dacarbazine, paclitaxel, fotemustine), immunotherapy (ipilimumab), and targeted therapy (vemurafenib) were identified by literature review. Medical resource use data associated with managing AEs were collected through two blinded Delphi panel cycles in each of the five countries. Published costs were used to estimate per-event costs and combined with AEs incidence, treatment usage, and MM prevalence to estimate the economic burden for each country. RESULTS: The costliest AEs were grade 3/4 events due to immunotherapy (Australia/France: colitis; UK: diarrhea) and chemotherapy (Germany/Italy: neutropenia/leukopenia). Treatment of AEs specific to chemotherapy (Australia/Germany/Italy/France: neutropenia/leukopenia) and targeted therapy (UK: squamous cell carcinoma) contributed heavily to country-specific economic burden. LIMITATIONS: Economic burden was estimated assuming that each patient experienced an AE only once. In addition, the context of settings was heterogeneous and the number of Delphi panel experts was limited. CONCLUSIONS: Management costs for MM treatment-associated AEs can be substantial. Results could be incorporated in economic models that support reimbursement dossiers. With the availability of newer treatments, establishment of a baseline measure of the economic burden of AEs will be crucial for assessing their impact on patients and regional healthcare systems.
Entities:
Keywords:
Adverse events; Australia; Cost burden; Direct medical costs; Europe; Medical resource utilization; Metastatic melanoma
Authors: William Wong; Yeun Mi Yim; Ashley Kim; Martin Cloutier; Marjolaine Gauthier-Loiselle; Patrick Gagnon-Sanschagrin; Annie Guerin Journal: PLoS One Date: 2018-04-13 Impact factor: 3.240