Objectives: Multiple studies showed positive effects of Lutetium-Octreotate (LO) treatment in neuroendocrine tumours. LO has been used in the Netherlands since the 1980s and recently received the orphan status shortly after the acquisition by Novartis. Since then, the official list price has increased sixfold. From a value-based pricing perspective, we analysed the impact of the increase in price on the incremental cost-effectiveness ratio (ICER) of LO treatment compared to optimal best supportive care, a high dose of Octreotide long-acting release (O-LAR), using the clinical data of the NETTER-1 trial.
Methods: A Markov model was developed to evaluate the costs per quality-adjusted life-year (QALY) for LO treatment compared to O-LAR from the healthcare perspective. A scenario analysis was conducted to compare the cost-effectiveness with the initial and increased price level of the LO-treatment.
Results: At the increased price level, the cost-effectiveness analysis rendered a deterministic ICER of €53,500 per QALY, while at the initial pricing, the ICER was €19,000 per QALY. The probabilistic sensitivity analysis (PSA) showed that LO had a high probability of being cost-effective at both the increased and initial price level, considering a cost-effectiveness threshold of €80,000.
Conclusions: Even at the increased price level, LO treatment can still be considered cost-effective using the applicable Dutch willingness-to-pay threshold of 80,000 euro per QALY. Considering the public scrutiny in relation to this price increase, these outcomes raise the question whether traditional cost-effectiveness methods are sufficient in fully capturing the societal acceptance of prices of new medicines.
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http://dx.doi.org/10.1007/s10198-021-01303-2 | DOI Listing |
Haemophilia
January 2025
Department of Orthopedics, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China.
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iScience
January 2025
International Institute for Applied Systems Analysis, Laxenburg, Lower Austria, Austria.
Cost reductions are essential for accelerating clean technology deployment. Because multiple factors influence costs, traditional one-factor learning models, solely relying on cumulative installed capacity as an explanatory variable, may oversimplify cost dynamics. In this study, we disentangle learning and economies of scale effects at unit and project levels and introduce a knowledge gap concept to quantify rapid technological change's impact on costs.
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January 2025
J. Mike Walker '66 Department of Mechanical Engineering, Texas A&M University College Station TX 77843 USA
This perspective work examines the current advancements in integrated CO capture and electrochemical conversion technologies, comparing the emerging methods of (1) electrochemical reactive capture (eRCC) though amine- and (bi)carbonate-mediated processes and (2) direct (flue gas) adsorptive capture and conversion (ACC) with the conventional approach of sequential carbon capture and conversion (SCCC). We initially identified and discussed a range of cell-level technological bottlenecks inherent to eRCC and ACC including, but not limited to, mass transport limitations of reactive species, limitation of dimerization, impurity effects, inadequate generation of CO to sustain industrially relevant current densities, and catalyst instabilities with respect to some eRCC electrolytes, amongst others. We followed this with stepwise perspectives on whether these are considered intrinsic challenges of the technologies - otherwise recommendations were disclosed where appropriate.
View Article and Find Full Text PDFOpen Res Eur
January 2025
Heidelberger Institut für Global Health, Universitätsklinikum Heidelberg, Heidelberg, Baden-Württemberg, 69120, Germany.
Introduction: The benefits of sharing participant-level data, including clinical or epidemiological data, genomic data, high-dimensional imaging data, or human-derived samples, from biomedical studies have been widely touted and may be taken for granted. As investments in data sharing and reuse efforts continue to grow, understanding the cost and positive and negative effects of data sharing for research participants, the general public, individual researchers, research and development, clinical practice, and public health is of growing importance. In this scoping review, we will identify and summarize existing evidence on the positive and negative impacts and costs of data sharing and how they are measured.
View Article and Find Full Text PDFJ Mark Access Health Policy
March 2025
BHF Cardiovascular Research Centre, University of Glasgow, Glasgow G12 8TA, UK;
This study illustrates the utility of a mixed-methods approach in assessing the value of an example novel technology-biosensor-integrated self-reporting arteriovenous grafts (smart AVGs). Currently in preclinical development, the device will detect arteriovenous graft stenosis (surveillance-only use case) and treat stenosis (interventional use case). The approach to value assessment adopted in this study was multifaceted, with one stage informing the next and comprised a stakeholder engagement with clinical experts to explore the device's clinical value, a cost-utility analysis (CUA) from a US Medicare perspective to estimate pricing headroom, and an investment model estimating risk-adjusted net present value analysis (rNPVs) to determine commercial viability.
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