The cost-effectiveness of tumor-treating fields therapy in patients with newly diagnosed glioblastoma.

BACKGROUND: There is strong concern about the costs associated with adding tumor-treating fields (TTF) therapy to standard first-line treatment for glioblastoma (GBM). Hence, we aimed to determine the cost-effectiveness of TTF therapy for the treatment of newly diagnosed patients with GBM. METHODS: We developed a 3-health-state Markov model. The perspective was that of the French Health Insurance, and the horizon was lifetime. We calculated the transition probabilities from the survival parameters reported in the EF-14 trial. The main outcome measure was incremental effectiveness expressed as life-years gained (LYG). Input costs were derived from the literature. We calculated the incremental cost-effectiveness ratio (ICER) expressed as cost/LYG. We used 1-way deterministic and probabilistic sensitivity analysis to evaluate the model uncertainty. RESULTS: In the base-case analysis, adding TTF therapy to standard of care resulted in increases of life expectancy of 4.08 months (0.34 LYG) and €185 476 per patient. The ICER was €549 909/LYG. The discounted ICER was €596 411/LYG. Parameters with the most influence on ICER were the cost of TTF therapy, followed equally by overall survival and progression-free survival in both arms. The probabilistic sensitivity analysis showed a 95% confidence interval of the ICER of €447 017/LYG to €745 805/LYG with 0% chance to be cost-effective at a threshold of €100 000/LYG. CONCLUSION: The ICER of TTF therapy at first-line treatment is far beyond conventional thresholds due to the prohibitive announced cost of the device. Strong price regulation by health authorities could make this technology more affordable and consequently accessible to patients.

Cost-effectiveness of memantine in moderate and severe Alzheimer's disease in Norway.

BACKGROUND: The cost-effectiveness of memantine for the treatment of moderate and severe Alzheimer's disease has been assessed in several European countries. Objective of the study was to assess it in Norwegian settings. METHODS: This cost-utility analysis used a Markov modelling approach to simulate the evolution of patients until their need for full-time care (FTC) over a 5-year period. FTC was defined as a patient becoming either dependent or institutionalised. Transition probabilities were estimated using a newly developed predictive equation of time to FTC. Health resource use and utilities were obtained from the Scandinavian Study of Cost and Quality of Life in Alzheimer's Disease study, and mortality was obtained from the Oslo study. Memantine efficacy was based on a meta-analysis of six large trials. The model compared memantine with its alternative in this population, that is no pharmacological treatment or background therapy with acetylcholinesterase inhibitors. The model underwent extensive sensitivity analyses. RESULTS: In Norway, memantine was found to delay the need for FTC by 4.4 weeks compared with standard care and was associated with increased quality-adjusted life years. Memantine was the dominant strategy with cost savings of €3739 (30 041 NOK) per patient. The probability of being the dominant strategy was 98.8%. This result was confirmed across multiple sensitivity analyses. CONCLUSIONS: The model suggests that memantine prolongs time to FTC for no additional cost to the healthcare system and society. It can be regarded as a cost-effective choice in the management of moderate and severe Alzheimer's disease.

Cost effectiveness of memantine in Alzheimer's disease in the UK.

OBJECTIVE: This analysis assesses the cost-effectiveness of memantine for the treatment of moderate-to-severe Alzheimer's disease (AD) in the UK. METHODS: This cost-utility analysis was based on a Markov model. The model simulated 5-year progress of patients with AD until they need full-time care (FTC), defined as a patient becoming either dependent or institutionalised. Transition probabilities were based on a predictive equation, derived from the London and South-East Region epidemiological study. Resource use, utilities and mortality were obtained from the same study. Memantine efficacy was based on a meta-analysis of six large trials. The model compared memantine to its alternative in the UK, i.e. no pharmacological treatment or background therapy with acetylcholinesterase inhibitors. RESULTS: Memantine was found to delay the need to FTC by 6 weeks compared with current practice in the UK. It was associated with increased quality-adjusted life-years and cost savings to the healthcare system (probability of this outcome was 96%). The projections were made assuming that benefits from the 6-month treatment were sustained over time, which is regarded as the main limitation. The model underwent extensive sensitivity analyses, which confirmed the base-case findings. CONCLUSIONS: The model suggests that memantine delays the need for FTC and decreases cost. It can be regarded as a cost-effective choice in the management of moderate and severe AD.

Predicting time to full-time care in AD: a new model.

OBJECTIVE: To develop a model to predict the length of time before patients with Alzheimer's disease (AD) of varying severity require full-time care (FTC). METHODS: A predictive model (equation) of time to FTC (defined as being institutionalised or dependent) was developed based on the London and South-East Region (LASER-AD) epidemiological study using a discrete time representation of the Cox continuous time proportional hazards model and complementary log-log specification. RESULTS: Of the 117 pre-FTC patients, 68 (58.1%) patients progressed to FTC during the 54-month follow-up period. Analysis of potential predictors showed that baseline cognitive state, impairment of activities of daily living (ADL) and neuropsychiatric symptoms were strong predictors of time to FTC. In addition, the rate of cognitive and ADL decline predicted time to FTC. The final model predicted 88.2% of observations. CONCLUSION: The model simulates and predicts progression of pre-FTC AD patients until the need for FTC based on assessments for cognitive, functional and behavioural domains. The main application of the model is to assess the cost effectiveness of AD therapies as potential adjuncts to a background AD treatment including disease-modifying treatments. The applicability of the predictive model to a specific setting should be carefully assessed, i.e. the patient population being examined should have similar characteristics as patients in the LASER-AD cohort.