The Determination of Diabetes Utilities, Costs, and Effects Model: A Cost-Utility Tool Using Patient-Level Microsimulation to Evaluate Sensor-Based Glucose Monitoring Systems in Type 1 and Type 2 Diabetes: Comparative Validation.

OBJECTIVES: To assess the accuracy and validity of the Determination of Diabetes Utilities, Costs, and Effects (DEDUCE) model, a Microsoft-Excel-based tool for evaluating diabetes interventions for type 1 and type 2 diabetes. METHODS: The DEDUCE model is a patient-level microsimulation, with complications predicted based on the Sheffield and Risk Equations for Complications Of type 2 diabetes models for type 1 and type 2 diabetes, respectively. For this tool to be useful, it must be validated to ensure that its complication predictions are accurate. Internal, external, and cross-validation was assessed by populating the DEDUCE model with the baseline characteristics and treatment effects reported in clinical trials used in the Fourth, Fifth, and Ninth Mount Hood Diabetes Challenges. Results from the DEDUCE model were evaluated against clinical results and previously validated models via mean absolute percentage error or percentage error. RESULTS: The DEDUCE model performed favorably, predicting key outcomes, including cardiovascular disease in type 1 diabetes and all-cause mortality in type 2 diabetes. The model performed well against other models. In the Mount Hood 9 Challenge comparison, error was below the mean reported from comparator models for several outcomes, particularly for hazard ratios. CONCLUSIONS: The DEDUCE model predicts diabetes-related complications from trials and studies well when compared with previously validated models. The model may serve as a useful tool for evaluating the cost-effectiveness of diabetes technologies.

Generalized pustular psoriasis: A nationwide population-based study using the National Health Data System in France.

BACKGROUND: GPP is a rare, chronic, neutrophilic skin disease, with limited real-world data characterizing patients with flares and the impact of flares on disease progression and morbidity. OBJECTIVE: Describe the clinical characteristics of patients with GPP, comorbidities, disease epidemiology and frequency and severity of flares, and compare patients with GPP with a matched severe psoriasis population. METHODS: In this population-based real-world cohort study an algorithm was developed to identify patients with GPP flares. Three cohorts were identified using the Système National des Données de Santé (SNDS) database covering almost the entire French population; a prevalent cohort (2010-2018), an incident cohort (2012-2015). A severe psoriasis cohort was compared with the GPP incident cohort using propensity score matching. RESULTS: The prevalent and incident cohorts comprised 4195 and 1842 patients, respectively. In both cohorts, mean age was 58 years; 53% were male. Comorbidities were significantly more common in the incident cohort versus matched psoriasis cohort, respectively, including hypertension (44% vs. 26%), ischaemic heart disease (26% vs. 18%) and hyperlipidaemia (25% vs. 15%). In the incident cohort, the flare rate was 0.1 flares/person-year and 0.4 flares/person-year among the 569 out of 1842 patients hospitalized with flares. These patients had a mean (±SD) stay of 11.6 ± 10.4 days; 25% were admitted to the intensive care unit. In 2017, the cumulative incidence and cumulative GPP age-sex standardized prevalence were 7.1 and 45.2 per million, respectively. CONCLUSIONS: Patients with GPP had a distinct comorbidity profile compared to patients with severe psoriasis, and GPP flares were associated with long hospitalizations.

Using Real-World Data in the Health Technology Assessment of Pharmaceuticals: Strengths, Difficulties, and a Pragmatic Way Forward.

In the past decade, there have been increasing calls for greater use of real-world evidence (RWE) and data (RWD), with the explicit goal of enabling faster provision of effective medicines to patients in need. The push for decision makers to accept RWE is especially noticeable in the pursuit of regulatory approval, but RWE, particularly when used to estimate the relative effectiveness of interventions, is not always readily accepted by agencies responsible for reimbursement and pricing of new pharmaceuticals and, to a varying degree, is not accepted across jurisdictions. This lack of trust hampers the use of RWE despite a very large and growing literature base on the principles of how RWE should be used. In this article, we suggest an important part of the explanation of why this situation has arisen and make suggestions for its alleviation. Given that problems commonly arise that are particular to the question being asked and the data sources being used, general guidance on the principles of how to use RWD cannot cover all eventualities. Therefore, we are suggesting the creation of an archive, or repository, to record uses of RWD in support of decisions by funding bodies or their advisors. This article introduces a proposed, structured classification of decision types using RWE, around which evidence can be assembled in a curated source (RWD/RWE taxonomy) and thus facilitate judgments on when evidence is "good enough." This article is part of a series in a special issue of this journal that looks at the barriers to optimal use of RWE in health technology assessment and how to overcome them. We begin significantly to populate our "taxonomy" with examples in an accompanying article. We also propose recommendations for international standards of evaluating the acceptability of RWD governance practices.

The Real-World Evidence Workstream in EUreccA 2025: How the Task Was Addressed.

This is one of a series of articles that consider the barriers to optimal use of real-world evidence (RWE) in health technology assessment (HTA) as well as ways to overcome them. The work was carried out as part of EUreccA 2025 (European Initiative for New Reimbursement and Access Approaches 2025), in particular with the RWE workstream embodied within that collaboration. The starting premises of this workstream were as follows: (1) the acceptance of RWE by HTA agencies and payers in the assessment of drugs is suboptimal and variable between jurisdictions, and (2) if that were not the case, the path of new pharmaceuticals to patients could be quicker and less expensive. Elsewhere in this issue we set out the conclusions we had reached in the EUreccA RWE workstream. In this article, we set out the methodology used to conduct the totality of the EureccA 2025 RWE workstream effort, which led us to those conclusions. The main results, strengths, and limitations of the individual parts are discussed further in separate articles in this supplement. Through scoping work, we generated 4 key topics within which to identify and address the barriers to optimal RWE use in HTA. Through pragmatic literature searches, stakeholder engagement, and case studies, we suggest ways in which the problems identified may be addressed as a contribution to progress in this area.

Across-Country Variations of Real-World Data and Evidence for Drugs: A 5-European-Country Study.

OBJECTIVES: This study aimed to describe the role of real-world data (RWD) and real-world evidence (RWE) in health technology assessment (HTA) in 5 European countries and to identify the hurdles to the acceptance of RWE and suggest directions toward its more effective use. METHODS: Authors from France, Germany, Italy, and Sweden used a common template to extract evidence. For England, the Cancer Drugs Fund was described and analyzed as a particular model for the use of RWD to provide evidence for coverage decisions and managed entry agreements. RESULTS: In all countries except Germany, HTA bodies acknowledged the relevance of RWD/RWE to address postlaunch uncertainties. In Germany, evidence from randomized controlled trials remains the gold standard, and evidence based on RWD is generally rejected. Multiple sources of RWD exist, but the quality, the immediate relevance of existing sources, and their interoperability limit their adaptation to the specifics of a given drug. This leads to skepticism about the validity of the evidence. Timing is also a key issue: the production of evidence may not be synchronized with the HTA and pricing bodies' agendas. The Cancer Drugs Fund case emphasizes that a strong partnership among all stakeholders and a pragmatic use of existing data, alongside clinical evidence provided by companies, are key success factors. CONCLUSIONS: A continuous investment in national health information systems is a key issue for providing valid RWE. Processes and aids to guide the acceptability and usage of RWE derived from pairing between sources and questions are essential.

Data Governance for Real-World Data Management: A Proposal for a Checklist to Support Decision Making.

OBJECTIVES: Real-world data (RWD) and real-world evidence (RWE) can provide extensive information on healthcare for use in health technology assessment and decision making. Nevertheless, there is a lack of consensus surrounding the appropriate data governance (DG) practices for RWD/RWE. Data sharing is also a large concern, especially considering evolving data protection regulations. Our objective is to propose recommendations for international standards of evaluating the acceptability of RWD governance practices. METHODS: After reviewing the literature, we created a checklist targeting DG practices for RWD/RWE. We then carried out a 3-round Delphi panel, including European policy makers, health technology assessment experts, and hospital managers. The consensus for each statement was measured and the checklist adjusted accordingly. RESULTS: The literature review identified the main topics regarding RWD/RWE DG practices: data privacy and security, data management and linkage, data access management, and the generation and use of RWE. Members of the Delphi panel (21 experts/25 invited) were presented a total of 24 statements related to each of the topics. Experts demonstrated a progressive level of consensus and importance ratings in all topics and to most statements. We suggest a refined checklist in which the statements rated less important or with less consensus have been removed. CONCLUSIONS: This study suggests how the DG of RWD/RWE could be qualitatively evaluated. We propose checklists that could be used by all RWD/RWE users to help ensure the quality and integrity of RWD/RWE governance and complement data protection law.

Structure and Content of a Taxonomy to Support the Use of Real-World Evidence by Health Technology Assessment Practitioners and Healthcare Decision Makers.

This is one of a series of articles that consider the barriers to optimal use of real-world evidence (RWE) in health technology assessment and how to overcome them. The work was performed as part of EUreccA 2025, in particular with the RWE workstream embodied within that collaboration. Elsewhere in this issue we described the reasoning and process that led us to develop practical tools to support RWE use, including this taxonomy and explained the methods used to do so. The taxonomy classifies questions that are typically addressed using real-world data in health technology assessment and the data sources typically used to address these questions. In this article, we describe the taxonomy itself. For as many of the pairings as possible, we have provided links to advice and methods on how to address the associated question using those data. We have also provided links to examples of RWE use in practical decision making to answer the questions posed. Our work is not complete, but we believe it is sufficient to demonstrate the value of such a taxonomy and information source if it is completed and curated as a "wiki" by the community that would use it.

How are health technology assessment bodies responding to the assessment challenges posed by cell and gene therapy?

BACKGROUND: The aims of this research were to provide a better understanding of the specific evidence needs for assessment of clinical and cost-effectiveness of cell and gene therapies, and to explore the extent that the relevant categories of evidence are considered in health technology assessment (HTA) processes. METHODS: A targeted literature review was conducted to identify the specific categories of evidence relevant to the assessment of these therapies. Forty-six HTA reports for 9 products in 10 cell and gene therapy indications across 8 jurisdictions were analysed to determine the extent to which various items of evidence were considered. RESULTS: The items to which the HTA bodies reacted positively were: treatment was for a rare disease or serious condition, lack of alternative therapies, evidence indicating substantial health gains, and when alternative payment models could be agreed. The items to which they reacted negatively were: use of unvalidated surrogate endpoints, single arm trials without an adequately matched alternative therapy, inadequate reporting of adverse consequences and risks, short length of follow-up in clinical trials, extrapolating to long-term outcomes, and uncertainty around the economic estimates. CONCLUSIONS: The consideration by HTA bodies of evidence relating to the particular features of cell and gene therapies is variable. Several suggestions are made for addressing the assessment challenges posed by these therapies. Jurisdictions conducting HTAs of these therapies can consider whether these suggestions could be incorporated within their existing approach through strengthening deliberative decision-making or performing additional analyses.

Cost-Effectiveness Analysis of SAPIEN 3 Transcatheter Aortic Valve Implantation Procedure Compared With Surgery in Patients With Severe Aortic Stenosis at Low Risk of Surgical Mortality in France.

OBJECTIVES: The clinical and cost-saving benefits of transcatheter aortic valve implantation (TAVI) over surgical aortic valve replacement (SAVR) in patients with severe aortic stenosis who are at high or intermediate risk of surgical mortality are supported by a growing evidence base. The PARTNER 3 trial (Placement of AoRTic TraNscathetER Valve Trial) demonstrated clinical benefits with SAPIEN 3 TAVI compared with SAVR in selected patients at low risk of surgical mortality. This study uses PARTNER 3 outcomes in combination with a French national hospital claim database to inform a cost-utility model and examine the cost implications of TAVI over SAVR in a low-risk population. METHODS: A 2-stage cost-utility analysis was developed to estimate changes in both direct healthcare costs and health-related quality of life using TAVI with SAPIEN 3 compared with SAVR. Early adverse events associated with TAVI were captured using the PARTNER 3 data set. These data fed into a Markov model that captured longer-term outcomes of patients, after TAVI or SAVR intervention. RESULTS: TAVI with SAPIEN 3 offers meaningful benefits over SAVR in providing both cost saving (€12 742 per patient) and generating greater quality-adjusted life-years (0.89 per patient). These results are robust with TAVI with SAPIEN 3 remaining dominant across several scenarios and deterministic and probabilistic sensitivity analyses. CONCLUSIONS: This model demonstrated that TAVI with SAPIEN 3 was dominant compared with SAVR in the treatment of patients with severe symptomatic aortic stenosis who are at low risk of surgical mortality. These findings should help policy makers in developing informed approaches to intervention selection for this patient population.

Facilitating [corrected] More Efficient Negotiations for Innovative Therapies: A Value-Based Negotiation Framework.

OBJECTIVES: An increasing number of innovative therapies (e.g., gene- and cell-based treatments) have been developed in the past 20 years. Despite the significant clinical potential of these therapies, access delays may arise because of differing perspectives of manufacturers and payers regarding issues such as the value of the product, clinical and financial uncertainties, and sustainability.Managed entry agreements (MEAs) can enable access to treatments that would not be reimbursed by conventional methods because of such concerns. However, although MEA typologies exist, there is currently no structured process to come to agreements on MEAs, which can be difficult to decide upon and implement.To facilitate more structured MEA negotiations, we propose a conceptual "value-based negotiation framework" with corresponding application tools. METHODS: The framework was developed based on an iterative process of scientific literature review and expert input. RESULTS: The framework aims to (i) systematically identify and prioritize manufacturer and payer concerns about a new treatment, and (ii) select a mutually acceptable combination of MEA terms that can best address priority concerns, with the lowest possible implementation burden. CONCLUSIONS: The proposed framework will be tested in practice, and is a step toward supporting payers and manufacturers to engage in more structured, transparent negotiations to balance the needs of both sides, and enabling quicker, more transparent MEA negotiations and patient access to innovative products.

Value of a QALY for France: A New Approach to Propose Acceptable Reference Values.

OBJECTIVE: France has included health economic assessment (HEA) as an official criterion for innovative drug pricing since 2013. Until now, no cost-effectiveness threshold (CET) has been officially proposed to qualify incremental cost-effectiveness ratios (ICERs). Although the French health authorities have publicly expressed the need for such reference values, previous initiatives to determine these have failed. The study aims to propose a locally adapted method for estimating a preference-based value for a quality-adjusted life-year (QALY) based on a rational approach to public policy choices in France. METHODS: We used the official French value of statistical life (VSL) of €3 million (USD 3.25 million), proposed in 2013 by the French General Commission on Strategy and Prediction. We first estimated the value of life-year (VoLY) by age category according to life expectancy and official discounts recommended for HEA in France. We then estimated a value of statistical QALY (VSQ) by weighting VoLYs with demographic data and French EQ-5D-3L tariffs. RESULTS: The estimated average VoLYs and VSQs were €120 185 (USD 130 000) and €147 093 (USD 159 022), respectively, assuming a discount rate of 2.5% and €166 205 (USD 179 681) and €201 398 (USD 217 728), respectively, assuming a discount rate of 4.5%. CONCLUSION: Assuming that, as in other public domains, equity in access to healthcare across all disease areas and between all users is desirable, we propose an estimate of VSQ that is consistent with this goal. Our estimates of €147 093 (USD 179,681) to €201 398 (USD 217 728) should be perceived as breakeven costs for a QALY rather than a market access threshold. Such VSQs could be used as reference values for ICERs in HEA in France.

Health related quality of life in patients with community-acquired pneumococcal pneumonia in France.

BACKGROUND: Community Acquired Pneumococcal Pneumonia is a lung infection that causes serious health problems and can lead to complications and death. The aim of this study was to observe and analyze health related quality of life after a hospital episode for patients with community acquired pneumococcal pneumonia in France. METHODS: A total of 524 individuals were enrolled prospectively in the study and were followed for 12 months after hospital discharge. Presence of streptococcus pneumoniae was confirmed by microbiological sampling. Quality of life was reported at four different points of time with the EQ-5D-3 L health states using the French reference tariff. Complete data on all four periods was available for 269 patients. We used descriptive and econometric analysis to assess quality of life over time during follow-up, and to identify factors that impact the utility indexes and their evolution through time. We used Tobit panel data estimators to deal with the bounded nature of utility values. RESULTS: Average age of patients was 63 and 55% of patients were men. Negative predictors of quality of life were the severity of the initial event, history of pneumonia, smokers, age and being male. On average, quality of life improved in the first 6 months after discharge and stabilized beyond. At month 1, mean utility index was 0.53 (SD: 0.34) for men and 0.45 (SD: 0.34) for women, versus mean of 0.69 (SD: 0.33) and 0.70 (SD: 0.35) at Month 12. "Usual activities" was the dimension the most impacted by the disease episode. Utilities for men were significantly higher than for women, although male patients were more severe. Individuals over 85 years old did not improve quality of life during follow-up, and quality of life did not improve or deteriorated for 34% of patients. We found that length of hospital stay was negatively correlated with quality of life immediately after discharge. CONCLUSION: This study provides with evidence that quality of life after an episode of community acquired pneumococcal pneumonia improves overall until the sixth month after hospital discharge, but older patients with previous history of pneumonia may not experience health gains after the initial episode.

Effectiveness of Montelukast on asthma control in infants: methodology of a French claims data study.

BACKGROUND: This pilot study, conducted on a 1/97th representative sample of French claims data, prepared a project to assess the effectiveness of Montelukast (MTL-4) as add-on therapy for asthma in infants (6-24 months) compared to inhaled corticosteroids (ICS), based on real-world data. Due to the very recent opening of French claims data for effectiveness research, and the complex structure of this data source, we first tested the feasibility of identifying infants with asthma and outcome criteria, and the ability to perform relevant comparisons. METHODS: We identified a cohort of infants with uncontrolled asthma and receiving ≥2 consecutive dispensations of any respiratory drug (R03 ATC classification) during a 6-month period. Uncontrolled asthma was identified either from exacerbations or from markers of acute loss of asthma control; date of occurrence of an event (exacerbation and/or acute loss of asthma control) was defined as index date. The study groups comprised infants receiving MTL-4 +/- ICS (MTL-4 group) or ICS without MTL-4 (ICS group) at index date. These two groups were matched on gender, age, quarter of index date, therapy before index date, past asthma-related hospitalization (ever), and were followed for 6 months. The outcome was the rate of infants with uncontrolled asthma, defined as above. RESULTS: This pilot cohort study included 1,149 infants with asthma (mean age 14.1 months, 64% boys). Of these, 51 and 768 were assigned to the MTL-4 and ICS groups, respectively. Uncontrolled asthma occurred in 78.8% and 78.4% of infants in these groups, respectively (oral corticosteroids were dispensed to 49% and 61%, respectively). Assessment of uncontrolled asthma, exposure to MTL-4 and ICS, and occurrence of outcomes were achieved. For the development of matching criteria, we defined a new marker of severity (therapeutic typologies). CONCLUSION: These data support the feasibility of the final project, to be conducted on claims data from the whole French population. We also showed that, with appropriate methodology and by using valid criteria, French claims data are an adequate resource for conducting comparative effectiveness studies in pediatric asthma. Finally, the algorithm used to identify infants with asthma could be applied to other studies using claims data.

A budget impact analysis of a digital monitoring solution in patients treated with oral anticancer agents: a medico-economic analysis of the randomized phase 3 CAPRI trial.

BACKGROUND/OBJECTIVES: Remote patient monitoring (RPM) has demonstrated numerous benefits in cancer care, including improved quality of life, overall survival, and reduced medical resource use. This study presents a budget impact analysis of a nurse navigator-led RPM program, based on the CAPRI trial, from the perspective of the French national health insurance (NHI). The study aimed to assess the impact of the program on medical resource utilization and costs. METHODS: Medical resource utilization data were collected from both medico-administrative sources and patient-reported questionnaires. Costs were calculated by applying unit costs to resource utilization and estimating the average monthly cost per patient. Sensitivity analyses were conducted to explore different perspectives and varying resource consumption. RESULTS: The analysis included 559 cancer patients participating in the CAPRI program. From the NHI perspective, the program resulted in average savings of €377 per patient over the 4.58-month follow-up period, mainly due to reduced hospitalizations. The all-payers perspective yielded even greater savings of €504 per patient. Sensitivity analyses supported the robustness of the findings. CONCLUSION: The budget impact analysis demonstrated that the CAPRI RPM program was associated with cost savings from the perspective of the NHI. The program's positive impact on reducing hospitalizations outweighed the additional costs associated with remote monitoring. These findings highlight the potential economic benefits of implementing RPM programs in cancer care. Further research is warranted to assess the long-term cost-effectiveness and scalability of such programs in the real-world settings.

Reduced rate of hospitalizations for acute diabetes events before and after FreeStyle Libre® system initiation in some people with type 2 diabetes on insulin-secretagogue oral drug therapy without insulin in France.

Objective Glycemic management in people with type 2 diabetes (T2DM) on insulin-secretagogues regimens without insulin is of importance, as this group still represent a significant proportion of patients. Risks for acute diabetes events (ADEs), including diabetic ketoacidosis (DKA) or hypoglycemia, using insulin-secretagogue drugs are well established. Few studies have suggested that continuous glucose monitoring (CGM) could be useful for monitoring glucose dynamics associated with the use of such therapies. To document this point an exploratory analysis was conducted in a group of individuals with non-insulin treated T2DM in France who are managed with oral insulin-secretagogues and initiating the FreeStyle Libre® glucose monitoring system (FSL). Methods A retrospective study of the French national SNDS reimbursement claims database (≈66 million French people) was conducted to identify people with T2DM on oral insulin-secretagogues and receiving a first reimbursement of FSL between 01/08/2017 to 31/12/2018. The analysis included data for the 12 months before, and up to 24 months after FSL initiation. Hospitalizations for diabetes-related acute events were identified using ICD-10 codes as main or related diagnosis, for: hypoglycemic events; DKA events; comas; and hyperglycemia-related admissions. Results 1,272 people with T2DM on insulin-secretagogues without insulin initiated FSL during the selection period. Of these, 7.15% had at least one hospitalization for any ADE in the year before FSL initiation, compared to 2.52% at 12 months and 2.83% at 24 months following FSL initiation. Reductions in ADEs were driven by -73% fewer admissions for ADEs related to diabetic ketoacidosis (DKA) or other hyperglycemia-related events. These patterns of reduced ADEs persisted after 2 years. Conclusions This study suggests the value of the FSL system in reducing ADEs in some people with T2DM in France being treated with insulin-secretagogues without insulin. Characteristics of these patients remain to be documented.

Public Health Impact and Cost-Effectiveness Analysis of 4-Component Meningococcal Serotype B Vaccination for Infants in France.

BACKGROUND AND OBJECTIVES: In France, meningococcal serogroup B (MenB) is the most common serogroup causing invasive meningococcal disease (IMD) in infants and young children. Our objective was to illustrate the impact of model choices on health outcomes and the cost-effectiveness of infant vaccination with the multicomponent meningococcal serogroup B vaccine (4CMenB) versus no vaccine in France. METHODS: A previously published dynamic transmission-based cost-effectiveness model was adapted for the French context using updated, French-specific demographic, epidemiological, and cost data. IMD incidence and long-term sequelae were derived through analysis of French healthcare and surveillance databases. A collective perspective over a 100-year time horizon was adopted, with a discount rate of 2.5%, reduced to 1.5% after the first 30 years. Deterministic and probabilistic sensitivity and scenario analyses were performed. RESULTS: In the base case analysis, infant vaccination with 4CMenB avoided 3101 MenB IMD cases in infants aged < 1 year (- 54%) and 6845 cases in all age groups (- 21%). The estimated incremental cost-effectiveness ratio was €316,272/quality-adjusted life-year (QALY) but was highly sensitive to the types of sequelae included, MenB incidence, vaccine effectiveness parameters, and consideration of life-expectancy in IMD survivors (range: €65,272/QALY to €493,218/QALY). CONCLUSIONS: Using economic models compliant with French methodology guidelines, 4CMenB does not seem cost-effective; however, results are sensitive to model choices and 4CMenB immunization is an effective strategy to prevent MenB IMD cases and to improve quality of life and economic burden associated with MenB IMD treatment, especially with regard to long-term sequelae.

Invasive meningococcal disease (IMD) is rare but can lead to lifelong disabilities and death. It is caused by a type of bacteria called Neisseria meningitidis. IMD is most common in infants and young children, and in this group it is mostly caused by Neisseria serogroup B bacteria. We analyzed the number of IMD cases caused by serogroup B in France, as well as sequelae (long-time effects of the disease), using data from national healthcare databases. The most common sequelae observed were epilepsy, severe neurological disorders, and anxiety, occurring in approximately 5% of patients. We then calculated the costs and benefits of the multicomponent meningococcal serogroup B vaccine (4CMenB) vaccine for infants and young children in France. The results showed that 4CMenB vaccination can reduce the number of IMD cases due to serogroup B by 3101 cases (− 54%) in infants under 1 year and by 6845 cases (− 21%) in all age groups. Over 100 years, vaccination could prevent over 2000 cases of IMD that result in disabilities and 438 deaths. The estimated cost-effectiveness ratio was high. However, costs per health benefit gained decreased when focusing on long-term health benefits. In France, there is no threshold for the cost-effectiveness ratio and the French Health Authority has included 4CMenB in its vaccination schedule. This recommendation reflects results from our study, which highlights the considerable burden on families and patients, mostly because of IMD-related disabilities. Early vaccination is a good way to protect infants and young children against this serious disease.

Respiratory syncytial virus-related hospital stays in adults in France from 2012 to 2021: A national hospital database study.

BACKGROUND: Respiratory syncytial virus (RSV) causes lower respiratory tract infections (LRTI) that may lead to hospitalization or death. The present study aimed to assess the burden of RSV infections in hospitalized adults. METHODS: RSV-related hospitalizations were identified from the nationwide hospital claims database in France (PMSI) from 2012 to 2021 using ICD-10 codes J12.1, J20.5, J21.0 or B97.4, and outcomes assessment focused on 2016-2020. In-hospital outcomes included length of stay, need for intensive care (ICU) and in-hospital all-cause mortality. Post-discharge outcomes included 30-day readmission for decompensation, 90-day RSV-related readmission, and 30 and 60-day in-hospital mortality. RESULTS: A cumulated number of 17 483 RSV-related stays were identified representing a rate of 72.0 cases per million stays. The outcomes assessment included 12,987 patients: 55.8 % were females and the mean age was 74.1 ± 16.4 years, with 57 % ≥ 75 years. Most of patients (78.6 %) had at least one comorbidity, mainly chronic respiratory (56.3 %) and cardiovascular diseases (41.3 %), or diabetes (23.5 %). A co-infection was found in 22.4 %, primarily bacterial (12 %). The mean length of stay was 12.3 ± 13.1 days. Overall, 10.9 % were admitted to an ICU and in-hospital mortality was 7.3 %. In-hospital outcomes were higher in cases of co-infection. Among 12 033 patients alive at discharge from the index stay, 6.5 % were readmitted with RSV within 90 days, 8.1 % for decompensation within 30 days, and 5.6 % died within 60-day. CONCLUSION: This study demonstrated the high burden of RSV infections in older adults and those with chronic conditions, and the need for preventive strategies.

Modeling of the impact on health outcomes of the use of dabigatran in patients with atrial fibrillation.

BACKGROUND: Atrial fibrillation (AF) is the main direct cause of stroke. Prevention by anticoagulation or antithrombotic treatment is required, vitamin K antagonists (VKAs) and aspirin being the main agents. Dabigatran etexilate is a novel oral direct thrombin inhibitor. The RE-LY study demonstrated that in patients with AF, the rates of stroke and systemic embolism were similar (at a dose of 110 mg) or lower (at a dose of 150 mg) than those observed in patients treated with warfarin, a VKA. The aim of the present study was to estimate, through modeling, the number of severe events avoided with dabigatran at dosages of 110 mg (D110) or 150 mg (D150) twice daily compared to warfarin, when prescribed in the French population for patients with AF who meet the inclusion criteria of the Randomized Evaluation of Long-Term Anticoagulant Therapy (RE-LY) study. METHODS: We used a decision tree type model to simulate the outcome at 5 years in a cohort of patients eligible for treatment with dabigatran. We compared 3 hypothetical cohorts: all AF patients are treated with D110, D150 and warfarin. Based on the probabilities of occurrence of the different outcomes observed in the RE-LY study and in the Dijon Stroke Registry, we simulated for each year during 5 years the evolution of the 3 cohorts. The model allows to simulate a prevalent cohort of 461,392 patients at year zero, with a follow-up of 5 years ('constant prevalence model'), and it can also take into account incident patients during 5 years ('dynamic prevalence model'). The different events taken into account were: major hemorrhages (excluding hemorrhagic strokes), myocardial infarctions, hemorrhagic strokes, ischemic strokes, recurrence of strokes (without differentiating the mechanism) or deaths. RESULTS: Considering the constant prevalence model, the use of D110 instead of warfarin for the whole target population in France would permit to avoid 10,012 events and to save 18,879 years of life in a period of 5 years. These figures are 13,484 and 27,736 for D150 instead of warfarin. Considering the dynamic prevalence model, the use of D110 for the whole target population in France would permit to avoid 13,620 events and to save 22,674 years of life in a period of 5 years. These figures are 18,186 and 33,091 for D150. CONCLUSION: The use of dabigatran would lead to a significant reduction of strokes and deaths attributable to AF in France.

Performance-based risk-sharing arrangements-good practices for design, implementation, and evaluation: report of the ISPOR good practices for performance-based risk-sharing arrangements task force.

There is a significant and growing interest among both payers and producers of medical products for agreements that involve a "pay-for-performance" or "risk-sharing" element. These payment schemes-called "performance-based risk-sharing arrangements" (PBRSAs)-involve a plan by which the performance of the product is tracked in a defined patient population over a specified period of time and the amount or level of reimbursement is based on the health and cost outcomes achieved. There has always been considerable uncertainty at product launch about the ultimate real-world clinical and economic performance of new products, but this appears to have increased in recent years. PBRSAs represent one mechanism for reducing this uncertainty through greater investment in evidence collection while a technology is used within a health care system. The objective of this Task Force report was to set out the standards that should be applied to "good practices"-both research and operational-in the use of a PBRSA, encompassing questions around the desirability, design, implementation, and evaluation of such an arrangement. This report provides practical recommendations for the development and application of state-of-the-art methods to be used when considering, using, or reviewing PBRSAs. Key findings and recommendations include the following. Additional evidence collection is costly, and there are numerous barriers to establishing viable and cost-effective PBRSAs: negotiation, monitoring, and evaluation costs can be substantial. For good research practice in PBRSAs, it is critical to match the appropriate study and research design to the uncertainties being addressed. Good governance processes are also essential. The information generated as part of PBRSAs has public good aspects, bringing ethical and professional obligations, which need to be considered from a policy perspective. The societal desirability of a particular PBRSA is fundamentally an issue as to whether the cost of additional data collection is justified by the benefits of improved resource allocation decisions afforded by the additional evidence generated and the accompanying reduction in uncertainty. The ex post evaluation of a PBRSA should, however, be a multidimensional exercise that assesses many aspects, including not only the impact on long-term cost-effectiveness and whether appropriate evidence was generated but also process indicators, such as whether and how the evidence was used in coverage or reimbursement decisions, whether budget and time were appropriate, and whether the governance arrangements worked well. There is an important gap in the literature of structured ex post evaluation of PBRSAs. As an innovation in and of themselves, PBRSAs should also be evaluated from a long-run societal perspective in terms of their impact on dynamic efficiency (eliciting the optimal amount of innovation).