After European Medicines Agency (EMA) approval, national pricing and reimbursement procedures are necessary to guarantee access to drugs, based on the willingness to pay and the recognition of therapeutic value. These can result in delays in drug availability for patients, even for those with important unfmet needs for whom it may be necessary and ethical to ensure access. The objective of this study was to evaluate the use of ruxolitinib for patients with graft-versus-host disease (GvHD) after EMA approval at the University Hospital of Catania. We analysed data about the use of ruxolitinib in patients with GvHD, describing their basic characteristics, their outcomes and the cost of the treatment. In the reference period, 24 ruxolitinib treatments were started according to the Summary of Product Characteristic. The average treatment duration was 10 months. Twenty patients showed a response, maintained over time, with no adverse reactions. The total expenditure amounts to EUR 963,424. The use of ruxolitinib in a real population confirms its role in an important therapeutic need. The quantification of costs requires a reflection on the sustainability of early access to medicines authorised by the EMA for serious diseases and in the absence of therapeutic alternatives.

UNASSIGNED: We propose a framework to assess the value of pharmaceutical innovations, with explicit clinical and methodological parameters, based on the therapeutic value and health needs.
UNASSIGNED: The study was based on the adaptation of health technology assessment methods documented in the literature, which was applied to a sample of oncological drugs. Difficulties and issues during the application of those tools were identified and addressed to develop a new framework with new and revised domains and clear classification criterion for each domain. Scores were assigned to each level and domain according to their relevance to generate the final score of innovativeness.
UNASSIGNED: The Pharmaceutical Innovation Index (PII) includes four domains, two related to clinical and social dimensions - Therapeutic Need and Added Therapeutic Value - and other two about methodological features - Study Design and Quality (risk of bias). The scores combined after assigned to each domain results Index of the Innovativeness of the medicines represents the degree of pharmaceutical innovation.
UNASSIGNED: This work proposes a transparent methodology with well-defined criteria and script; the algorithm developed with authors\' weightings and criteria may be switched to best adjust to other applications, perspective or clinical indications, while keeping the transparency and objectiveness.

OBJECTIVE: To illustrate the financial consequences of implementing different managed entry agreements (managed entry agreements for the Dutch healthcare system for autologous gene therapy atidarsagene autotemcel [Libmeldy]), while also providing a first systematic guidance on how to construct managed entry agreements to aid future reimbursement decision making and create patient access to high-cost, one-off potentially curative therapies.
METHODS: Three payment models were compared: (1) an arbitrary 60% price discount, (2) an outcome-based spread payment with discounts, and (3) an outcome-based spread payment linked to a willingness to pay model with discounts. Financial consequences were estimated for full responders (A), patients responding according to the predicted clinical pathway presented in health technology assessment reports (B), and unstable responders (C). The associated costs for an average patient during the time frame of the payment agreement, the total budget impact, and associated benefits expressed in quality-adjusted life-years of the patient population were calculated.
RESULTS: When patients responded according to the predicted clinical pathway presented in health technology assessment reports (scenario B), implementing outcome-based reimbursement models (models 2 and 3) had lower associated budget impacts while gaining similar benefits compared with the discount (scenario 1, €8.9 million to €6.6 million vs €9.2 million). In the case of unstable responders (scenario C), costs for payers are lower in the outcome-based scenarios (€4.1 million and €3.0 million, scenario 2C and 3C, respectively) compared with implementing the discount (€9.2 million, scenario 1C).
CONCLUSIONS: Outcome-based models can mitigate the financial risk of reimbursing atidarsagene autotemcel. This can be considerably beneficial over simple discounts when clinical performance was similar to or worse than predicted.

OBJECTIVE: In France, decisions for pricing and reimbursement for medicinal products are based on appraisals performed by the National authority for health (Haute Autorité de Santé (HAS)). During the appraisal process, additional real-world evidence can be requested as \"Post-Registration Studies\" (PRS) when there are uncertainties in evidence that could be resolved by additional data collection. To facilitate PRS planning, a retrospective exploratory analysis was conducted to identify the characteristics of medicinal products associated with a PRS request.
METHODS: This analysis encompassed all appraisals finalized between January 1, 2016 and December 31, 2021 and compared products for which the appraisal led to a PRS request with those that did not.
RESULTS: Six hundred positive opinions for reimbursement were identified, with a PRS request present in 17 percent (n = 103) of cases. The independent characteristics associated with a PRS request were a mild or moderate clinical benefit score, a major to moderate or minor clinical added value score, previous availability under an early access program, and certain therapeutic areas (neurology, pulmonology, and endocrinology). These findings suggest two different profiles of PRS requests: (i) products for which there is uncertainty in the size of the clinical benefit and (ii) innovative products for which a substantial benefit is expected but uncertainties persist.
CONCLUSIONS: These results will assist health technology developers to better anticipate data generation to promptly address uncertainties identified by HAS. It may also help HAS and other assessment agencies to work together to improve postlaunch evidence generation according to the characteristics of the medicinal products.

BACKGROUND: Health technology assessment (HTA) plays a vital role in healthcare decision-making globally, necessitating the identification of key factors impacting evaluation outcomes due to the significant workload faced by HTA agencies.
OBJECTIVE: The aim of this study was to predict the approval status of evaluations conducted by the Brazilian Committee for Health Technology Incorporation (CONITEC) using natural language processing (NLP).
METHODS: Data encompassing CONITEC\'s official report summaries from 2012 to 2022. Textual data was tokenized for NLP analysis. Least Absolute Shrinkage and Selection Operator, logistic regression, support vector machine, random forest, neural network, and extreme gradient boosting (XGBoost), were evaluated for accuracy, area under the receiver operating characteristic curve (ROC AUC) score, precision, and recall. Cluster analysis using the k-modes algorithm categorized entries into two clusters (approved, rejected).
RESULTS: The neural network model exhibited the highest accuracy metrics (precision at 0.815, accuracy at 0.769, ROC AUC at 0.871, and recall at 0.746), followed by XGBoost model. The lexical analysis uncovered linguistic markers, like references to international HTA agencies\' experiences and government as demandant, potentially influencing CONITEC\'s decisions. Cluster and XGBoost analyses emphasized that approved evaluations mainly concerned drug assessments, often government-initiated, while non-approved ones frequently evaluated drugs, with the industry as the requester.
CONCLUSIONS: NLP model can predict health technology incorporation outcomes, opening avenues for future research using HTA reports from other agencies. This model has the potential to enhance HTA system efficiency by offering initial insights and decision-making criteria, thereby benefiting healthcare experts.

Aim: This study aimed to improve comparative effectiveness estimates and discuss challenges encountered through the application of Bayesian borrowing (BB) methods to augment an external control arm (ECA) constructed from real-world data (RWD) using historical clinical trial data in first-line non-small-cell lung cancer (NSCLC). Materials & methods: An ECA for a randomized controlled trial (RCT) in first-line NSCLC was constructed using ConcertAI Patient360™ to assess chemotherapy with or without cetuximab, in the bevacizumab-inappropriate subpopulation. Cardinality matching was used to match patient characteristics between the treatment arm (cetuximab + chemotherapy) and ECA. Overall survival (OS) was assessed as the primary outcome using Cox proportional hazards (PH). BB was conducted using a static power prior under a Weibull PH parameterization with borrowing weights from 0.0 to 1.0 and augmentation of the ECA from a historical control trial. Results: The constructed ECA yielded a higher overall survival (OS) hazard ratio (HR) (HR = 1.53; 95% CI: 1.21-1.93) than observed in the matched population of the RCT (HR = 0.91; 95% CI: 0.73-1.13). The OS HR decreased through the incorporation of BB (HR = 1.30; 95% CI: 1.08-1.54, borrowing weight = 1.0). BB was applied to augment the RCT control arm via a historical control which improved the precision of the observed HR estimate (1.03; 95% CI: 0.86-1.22, borrowing weight = 1.0), in comparison to the matched population of the RCT alone. Conclusion: In this study, the RWD ECA was unable to successfully replicate the OS estimates from the matched population of the selected RCT. The inability to replicate could be due to unmeasured confounding and variations in time-periods, follow-up and subsequent therapy. Despite these findings, we demonstrate how BB can improve precision of comparative effectiveness estimates, potentially aid as a bias assessment tool and mitigate challenges of traditional methods when appropriate external data sources are available.

OBJECTIVE: Assessing the value of tumor-agnostic drugs (TAD) is challenging given the potential variability in treatment effects, trials with small sample sizes, different standards of care (SoC), and lack of comparative data from single-arm basket trials. Our study developed and applied novel methods to assess the value of pembrolizumab compared with SoC to inform coverage decisions.
METHODS: We developed a partitioned survival model to evaluate the cost-utility of pembrolizumab for previously treated patients with 8 advanced or metastatic microsatellite instability-high or mismatch repair-deficient cancers from a US commercial payer perspective. Efficacy of pembrolizumab was based on data from trials directly or with adjustment using Bayesian hierarchical models. Eight chemotherapy-based external control arms were constructed from the TriNetX electronic health record databases. Tumor-specific health-state utility values were applied. All costs were adjusted to 2022 US dollars.
RESULTS: At a lifetime horizon, pembrolizumab was associated with increased effectiveness compared with chemotherapies in colorectal (quality-adjusted life years [QALYs]: +0.64, life years [LYs]: +0.64), endometrial (QALYs: +3.79, LYs: +5.47), and small intestine cancers (QALYs: +1.73, LYs: +2.48), but not for patients with metastatic gastric, cholangiocarcinoma, pancreatic, ovarian, and brain cancers. Incremental cost-effectiveness ratios varied substantially across tumor types. Pembrolizumab was found to be cost-effective in treating colorectal and endometrial cancers (incremental cost-effectiveness ratios: $121 967 and $139 257, respectively), and not cost-effective for other assessed cancers at a $150 000 willingness-to-pay/QALY threshold, compared with SoC chemotherapies.
CONCLUSIONS: The cost-effectiveness of TADs can vary by cancers. Using analytic tools such as external controls and Bayesian hierarchical models can tackle several challenges in assessing the value of TADs and uncertainties from basket trials.

BACKGROUND: Treatment switching in randomised controlled trials (RCTs) is a problem for health technology assessment when substantial proportions of patients switch onto effective treatments that would not be available in standard clinical practice. Often statistical methods are used to adjust for switching: these can be applied in different ways, and performance has been assessed in simulation studies, but not in real-world case studies. We assessed the performance of adjustment methods described in National Institute for Health and Care Excellence Decision Support Unit Technical Support Document 16, applying them to an RCT comparing panitumumab to best supportive care (BSC) in colorectal cancer, in which 76% of patients randomised to BSC switched onto panitumumab. The RCT resulted in intention-to-treat hazard ratios (HR) for overall survival (OS) of 1.00 (95% confidence interval [CI] 0.82-1.22) for all patients, and 0.99 (95% CI 0.75-1.29) for patients with wild-type KRAS (Kirsten rat sarcoma virus).
METHODS: We tested several applications of inverse probability of censoring weights (IPCW), rank preserving structural failure time models (RPSFTM) and simple and complex two-stage estimation (TSE) to estimate treatment effects that would have been observed if BSC patients had not switched onto panitumumab. To assess the performance of these analyses we ascertained the true effectiveness of panitumumab based on: (i) subsequent RCTs of panitumumab that disallowed treatment switching; (ii) studies of cetuximab that disallowed treatment switching, (iii) analyses demonstrating that only patients with wild-type KRAS benefit from panitumumab. These sources suggest the true OS HR for panitumumab is 0.76-0.77 (95% CI 0.60-0.98) for all patients, and 0.55-0.73 (95% CI 0.41-0.93) for patients with wild-type KRAS.
RESULTS: Some applications of IPCW and TSE provided treatment effect estimates that closely matched the point-estimates and CIs of the expected truths. However, other applications produced estimates towards the boundaries of the expected truths, with some TSE applications producing estimates that lay outside the expected true confidence intervals. The RPSFTM performed relatively poorly, with all applications providing treatment effect estimates close to 1, often with extremely wide confidence intervals.
CONCLUSIONS: Adjustment analyses may provide unreliable results. How each method is applied must be scrutinised to assess reliability.

UNASSIGNED: Health technology assessment (HTA) is globally recognised as an important tool to guide evidence-based decision-making. However, heterogeneity in methods limits the use of any such evidence. The current research was undertaken to develop a set of standards for conduct of economic evaluations for HTA in India, referred to as the Indian Reference Case.
UNASSIGNED: Development of the reference case comprised of a four-step process: (i) review of existing international HTA guidelines; (ii) systematic review of economic evaluations for three countries to assess adherence with pre-existing country-specific HTA guidelines; (iii) empirical analysis to assess the impact of alternate assumptions for key principles of economic evaluation on the results of cost-effectiveness analysis; (iv) stakeholder consultations to assess appropriateness of the recommendations. Based on the inferences drawn from the first three processes, a preliminary draft of the reference case was developed, which was finalised based on stakeholder consultations.
UNASSIGNED: The Indian Reference Case provides twelve recommendations on eleven key principles of economic evaluation: decision problem, comparator, perspective, source of effectiveness evidence, measure of costs, health outcomes, time-horizon, discounting, heterogeneity, uncertainty analysis and equity analysis, and for presentation of results. The recommendations are user-friendly and have scope to allow for context-specific flexibility.
UNASSIGNED: The Indian Reference Case is expected to provide guidance in planning, conducting, and reporting of economic evaluations. It is anticipated that adherence to the Reference Case would increase the quality and policy utilisation of future evaluations. However, with advancement in the field of health economics efforts aimed at refining the Indian Reference Case would be needed.
UNASSIGNED: This research received no specific grant from any funding agency, commercial, or not-for-profit sectors. The research was undertaken as part of doctoral thesis of Sharma D, who received scholarship from the Indian Council of Medical Research (ICMR), New Delhi, India.

UNASSIGNED: Symptomatic severe aortic stenosis is a congenital or acquired aortic valve disease that occurs when the aortic valve of the heart narrows. It represents the most common valvular disease in adults and generally has a degenerative nature. Transcatheter aortic valve implantation (TAVI), due to its non-invasive approach, has become the standard treatment in patients who are ineligible to surgery or at high surgical risk, and it is also increasingly being performed in patients at intermediate to low surgical risk. The aim is to analyze the heterogeneity and explore the limitations of current health technology assessments (HTAs) on TAVI.
UNASSIGNED: For the purpose of this analysis, a review of the literature based on manual research was performed. A population, intervention, comparators, and outcome (PICO) model was used to gather the HTA reports assessing TAVI in the treatment of patients affected by symptomatic severe aortic valve stenosis at low surgical risk. Furthermore, a manual search has been developed to also include assessments from the Haute Autorité de Santé.
UNASSIGNED: At the end of the investigation, a certain degree of heterogeneity in the evidence factored and in the recommendations on the technology has emerged. Relative to the clinical domains, the main drivers for the disparity are found in the type of evidence considered and in the use or not of the grading of recommendations, assessment, development, and evaluation (GRADE) methodology to evaluate the quality of the clinical evidence included. Another element concerns the chosen device generation assessed within the evaluation. In order to perform the economic evaluation, a cost-utility analysis and a budget impact model were developed. Despite some elements of heterogeneity, the economic assessments demonstrate a favorable or dominant cost-effectiveness profile for TAVI compared with surgical aortic valve replacement (SAVR).
UNASSIGNED: Despite the presence of heterogeneity elements both in clinical and economic domains, HTA agencies reached the same recommendations on the use of TAVI. It emerged the need for a centralized vision on the \"strong\" domains, which means giving up freedom to local bodies to adapt to their context on the \"soft\" ones. This approach could have the potential to strengthen the role of HTA in Europe by ensuring faster decision-making and equity of access to health innovations and reduce the heterogeneity in the assessment methods.