ABSTRACT
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.
ABSTRACT
PURPOSE: A comprehensive return on investment (ROI) calculator was developed to evaluate the monetary and nonmonetary benefits of an artificial intelligence (AI)-powered radiology diagnostic imaging platform to inform decision makers interested in adopting AI. METHODS: A calculator was constructed to calculate comparative costs, estimated revenues, and quantify the clinical value of using an AI platform compared with no use of AI in radiology workflows of a US hospital over a 5-year time horizon. Parameters were determined on the basis of expert interviews and a literature review. Scenario and deterministic sensitivity analyses were conducted to evaluate calculator drivers. RESULTS: In the calculator, the introduction of an AI platform into the hospital radiology workflow resulted in labor time reductions and delivery of an ROI of 451% over a 5-year period. The ROI was increased to 791% when radiologist time savings were considered. Time savings for radiologists included more than 15 8-hour working days of waiting time, 78 days in triage time, 10 days in reading time, and 41 days in reporting time. Using the platform also provided revenue benefits for the hospital in bringing in patients for clinically beneficial follow-up scans, hospitalizations, and treatment procedures. Results were sensitive to the time horizon, health center setting, and number of scans performed. Among those, the most influential outcome was the number of additional necessary treatments performed because of AI identification of patients. CONCLUSIONS: The authors demonstrate a substantial 5-year ROI of implementing an AI platform in a stroke management-accredited hospital. The ROI calculator may be useful for decision makers evaluating AI-powered radiology platforms.
ABSTRACT
BACKGROUND: In the recent Evolut Low Risk randomized trial, transcatheter aortic valve implantation (TAVI) was shown to be non-inferior to surgery (SAVR) regarding the composite end point of all-cause mortality or disabling stroke at 24 months. AIMS: To evaluate the cost-effectiveness of self-expandable TAVI in low-risk patients, using the French healthcare system as the basis for analysis. METHODS: Mortality, health-related quality of life, and clinical event rates through two-year follow-up were derived from trial data (N = 725 TAVI and N = 678 SAVR; mean age: 73.9 years; mean STS-PROM: 1.9%). Cost inputs were based on real-world data for TAVI and SAVR procedures in the French healthcare system. Costs and effectiveness as quality-adjusted life years (QALYs) were projected to lifetime via a decision-analytic model under assumption of no mortality difference beyond two years. The discounted incremental cost-effectiveness ratio (ICER) was evaluated against a willingness-to-pay threshold of 50,000 per QALY gained. Deterministic and probabilistic sensitivity analyses were conducted, including assumptions about differential long-term survival. RESULTS: For the base case, mean survival was 13.69 vs 13.56 (+ 0.13) years for TAVI and SAVR, respectively. Discounted QALYs were 9.34 vs. 9.21 (+ 0.13) and discounted lifetime costs 52,267 vs. 51,433 (+ 833), resulting in a lifetime ICER of 6368 per QALY gained. In probabilistic sensitivity analysis, TAVI was found dominant or cost-effective in 74.4% of samples. CONCLUSION: TAVI in patients at low surgical risk is a cost-effective alternative to SAVR in the French healthcare system. Longer follow-up data will help increase the accuracy of lifetime survival projections.
