Journal of market access & health policy最新文献

Introduction: Primary immune thrombocytopenia is a rare autoimmune disease characterised by a decreased platelet count resulting in an increased risk of bleeding events and even life-threatening haemorrhages. Thrombopoietin receptor agonists (TPO-RAs) are the standard of care second-line therapy for adult patients with chronic immune thrombocytopenia. The first TPO-RAs approved and reimbursed in Italy, eltrombopag and romiplostim, while effective, pose some issues in terms of safety (e.g., hepatotoxicity) or general management (e.g., dietary restrictions). Avatrombopag, an effective and well-tolerated TPO-RA, was recently granted reimbursement. Methods: A 3-year (2023-2025) budget impact analysis (BIA) was conducted to estimate its impact on the Italian National Health Service (NHS). Two scenarios were compared, of which one represents the current situation, without avatrombopag, and the other provides for an increasing market share of avatrombopag (up to 26.6%). Results: BIA shows that the increase in the use of avatrombopag correlates with savings for NHS: in the first year, saving would be €1,300,564, increasing to €2,774,210 in the third year, for a total of €6,083,231 over the 3-year period. The sensitivity analysis confirmed these savings in the scenario with avatrombopag. Conclusions: Based on this BIA, the introduction and reimbursement of avatrombopag is an efficient and advantageous choice for the Italian NHS.

Background: Delandistrogene moxeparvovec (SRP-9001) is an investigational gene therapy that may delay progression of Duchenne muscular dystrophy (DMD), a severe, rare neuromuscular disease caused by DMD gene mutations. Early cost-effectiveness analyses are important to help contextualize the value of gene therapies for reimbursement decision making. Objective: To determine the potential value of delandistrogene moxeparvovec using a cost-effectiveness analysis. Study design: A simulation calculated lifetime costs and equal value of life years gained (evLYG). Inputs included extrapolated clinical trial results and published utilities/costs. As a market price for delandistrogene moxeparvovec has not been established, threshold analyses established maximum treatment costs as they align with value, including varying willingness-to-pay up to $500,000, accounting for severity/rarity. Setting: USA, healthcare system perspective Patients: Boys with DMD Intervention: Delandistrogene moxeparvovec plus standard of care (SoC; corticosteroids) versus SoC alone Main outcome measure: Maximum treatment costs at a given willingness-to-pay threshold Results: Delandistrogene moxeparvovec added 10.30 discounted (26.40 undiscounted) evLYs. The maximum treatment cost was approximately $5 M, assuming $500,000/evLYG. Varying the benefit discount rate to account for the single administration increased the estimated value to #$5M, assuming $500,000/evLYG. Conclusion: In this early economic model, delandistrogene moxeparvovec increases evLYs versus SoC and begins to inform its potential value from a healthcare perspective.

Introduction: The Indian healthcare system is evolving towards better healthcare implementation and coverage. However, even today, the health-care system faces several challenges, a few of which are yet to be addressed. The present review is aimed to delineate the past and present healthcare scenarios in India, health-care policies, and other initiatives for achieving universal health coverage (UHC).

Methods: A literature search was done on various government databases, websites, and PubMed for obtaining data and statistics on healthcare funding, health insurance schemes, healthcare budget allocations, categories of medical expenses, government policies, and health technology assessment (HTA) in India.

Results: The available data indicates 37.2% of the total population is covered by any health insurance of which 78% are covered by public insurance companies. Around 30% of the total health expenditure is borne by the public sector, and there is high out-of-pocket (OOP) expenditure on healthcare.

Discussion: Several new health policies and schemes, an increase in 2021 budget for healthcare by 137%, vaccination drives, augmenting manufacturing of medical devices, special training packages, Artificial Intelligence/Machine Learning (AI/ML)-based standard treatment workflow systems to ensure proper treatment and clinical decision-making have been initiated by the government for improving healthcare funding, equity, and access.

Background: The evidence base of tisagenlecleucel is uncertain.

Objective: To evaluate the cost-effectiveness of tisagenlecleucel. To conduct expected value of perfect information (EVPI) and partial EVPI (EVPPI) analyses.

Study design: A three-state partitioned survival model. A short-term decision tree partitioned patients in the tisagenlecleucel arm according to infusion status. Survival was extrapolated to 5 years; general population mortality with a standardised mortality ratio was then applied. EVPI and EVPPI were scaled up to population according to the incidence of the decision.

Setting: Irish healthcare payer.

Participants: Patients with relapsed/refractory diffuse large B-cell lymphoma (R/R DLBCL).

Interventions: Tisagenlecleucel versus Salvage Chemotherapy (with or without haematopoietic stem cell transplant).

Main outcome measure: Incremental cost-effectiveness ratio (ICER). Population EVPI and EVPPI.

Results: At list prices, the ICER was €119,509 per quality-adjusted life year (QALY) (incremental costs €218,092; incremental QALYs 1.82). Probability of cost-effectiveness, at a €45,000 per QALY threshold, was 0%. Population EVPI was €0.00. Population EVPI, at the price of tisagenlecleucel that reduced the ICER to €45,000 per QALY, was €3,989,438. Here, survival analysis had the highest population EVPPI (€1,128,053).

Conclusion: Tisagenlecleucel is not cost-effective, versus salvage chemotherapy (with or without haematopoietic stem cell transplant), for R/R DLBCL in Ireland. At list prices, further research to decrease decision uncertainty may not be of value.

Background: Clinician's choice of hypoallergenic formulas in the first-line management of cow's milk protein allergy (CMPA) should be informed by evidence on clinical efficacy and cost-effectiveness.

Objective: We compare the cost-effectiveness of amino acid-based formula (AAF), extensively hydrolyzed casein formula with Lactobacillus rhamnosus Gorbach Goldin (EHCF+LGG), extensively hydrolyzed whey formula (EHWF), and rice hydrolyzed formula (RHF) in non-breastfed children in France.

Methods: Immunotolerance and atopic manifestations' prevalence were based on a prospective non-randomized study with a 36-month follow-up. Resource utilization was sourced from a survey of French clinicians, and unit costs were based on national data. Costs and health consequences were discounted at 2.5% annually. Results were reported using the Collective and French National Health Insurance perspectives.

Results: Children receiving EHCF+LGG were predicted to require less healthcare resources, given their reduced prevalence of CMPA symptoms at 3 years. In the base case, EHCF+LGG led to savings of at least €674 per child compared to AAF, EHWF, and RHF at 3 years, from both perspectives. Nutrition had the highest economic burden in CMPA, driven by hypoallergenic formulas and dietetic replacements costs. Results were robust to one-way and probabilistic sensitivity analyses.

Conclusions: EHCF+LGG was associated with more symptom-free time, higher immune tolerance, and lower costs.

Involvement of all relevant stakeholders will be of utmost importance for the success of the developing EU HTA harmonization process. A multi-step procedure was applied to develop a survey across stakeholders/collaborators within the EU HTA framework to assess their current level of involvement, determine their suggested future role, identify challenges to contribution, and highlight efficient ways to fulfilling their role. The 'key' stakeholder groups identified and covered by this research included: patients', clinicians', regulatory, and Health Technology Developer representatives. The survey was circulated to a wide expert audience including all relevant stakeholder groups in order to determine self-perception by the 'key' stakeholders regarding involvement in the HTA process (self-rating), and in a second, slightly modified version of the questionnaire, to determine the perception of 'key' stakeholder involvement by HTA bodies, payers, and policymakers (external rating). Predefined analyses were conducted on the submitted responses. Fifty-four responses were received (patients 9; clinicians: 8; regulators: 4; HTDs 14; HTA bodies: 7; Payers: 5; policymakers 3; others 4). The mean self-perceived involvement score was consistently lower for each of the 'key' stakeholder groups than the respective external ratings. Based on the qualitative insights generated in the survey, a RACI Chart (Responsible/Accountable/Consulted/Informed) was developed for each of the stakeholder groups to determine their roles and involvement in the current EU HTA process. Our findings suggest extensive effort and a distinct research agenda are required to ensure adequate involvement of the key stakeholder groups in the evolving EU HTA process.

Objectives: In this paper, we outline and compare pharmaceutical pricing and reimbursement policies for in-patent prescription medicines in three Maghreb countries, Algeria, Morocco, and Tunisia, and explore possible improvements in their pricing and reimbursement systems.

Methods: The evidence informing this study comes from both an extensive literature review and a primary data collection from experts in the three studied countries.

Key findings: Twenty-six local experts where interviewed Intervieweesincluded ministry officials, representatives of national regulatory authorities, health insurance organizations, pharmaceutical procurement departments and agencies, academics, private pharmaceutical-sector actors, and associations. Results show that External Reference Pricing (ERP) is the dominant pricing method for in-patent medicines in the studied countries. Value-based pricing through Health Technology Assessment (HTA) is a new concept, recently used in Tunisia to help the reimbursement decision of some in-patent medicines but not yet used in the pricing of innovative medicines in the studied countries. Reimbursement decision is mainly based on negotiations set on Internal Reference Pricing (IRP).

Conclusion: Whereas each country has its specific regulations, there are many similarities in the pricing and reimbursement policies of in-patent medicines in Algeria, Morocco, and Tunisia. The ERP was found to be the dominant method to inform pricing and reimbursement decisions of in-patent medicines. Countries in the region can focus on the development of explicit value assessment systems and minimize their dependence on ERP over the longer-term. In this context, HTA will rely on local assessment of the evidence.

Purpose: The success of reverse total shoulder arthroplasty (RTSA) has expanded its use for a broader range of shoulder indications worldwide. Evidence regarding the relative efficacy and long-term safety of medical technologies used in RTSA is subjected to rigorous assessment. Nonetheless, substantial challenges impede market access for innovative shoulder implant technologies for RTSA in Australia, resulting in delayed patient access.

Approach: This paper addresses the key challenges associated with generating evidence for the health technology assessments of innovative medical technologies for RTSA that are required for access to the Australian market. The transition to value-based care requires establishing a benchmarking reference that incorporates patient-reported outcome measures (PROMs) and combines revision outcomes with additional clinical outcomes to increase patient cohort sizes. Establishing the benchmark would require agreement on the outcome measures to be collected for each indication, and investment in reporting patient-reported outcomes for RTSA to the national orthopaedic registry.

Implications for practice: The need for increased flexibility in developing evidence for health technology assessment of RTSA medical technologies is required. Optimised approaches for benchmarking RTSA require extensive stakeholder discussions, including the agreement on evidence requirements and follow-up periods, selection of clinical outcomes, as well as pre-operative and post-operative PROMs as a value assessment.

Background: Copay cards are intended to mitigate patient out-of-pocket (OOP) expenses. This qualitative, exploratory focus group study aimed to capture patient perceptions of copay cards and copay adjustment programs (CAPs; insurers' accumulator and maximizer policies), which redirect the copay card utilization benefits intended for patients' OOP expenses.

Methods: Patients with chronic conditions were recruited through Janssen's Patient Engagement Research Council program. They completed a survey and attended a live virtual session to provide feedback on copay cards.

Results: Among 33 participants (median age, 49 years [range, 24-78]), the most frequent conditions were cardiovascular-metabolic disease and inflammatory bowel disease. Patients associated copay cards with lessening financial burden, improving general and mental health, and enabling medication adherence. An impact on medication adherence was identified by 10 (63%) White and nine (100%) Black respondents. Some patients were unaware of CAPs despite having encountered them; they recommended greater copay card education and transparency about CAPs.

Conclusion: Patients relied on copay cards to help afford their prescribed medication OOP expenses and maintain medication adherence. Use of CAPs may increase patient OOP expenses. Patients would benefit from awareness programs and industry - healthcare provider partnerships that facilitate and ensure access to copay cards.

Introduction: Prolonged Hospital Length of Stay (PLOS) is an indicator of deteriorated efficiency in Quality of Care. One goal of public health management is to reduce PLOS by identifying its most relevant predictors. The objective of this study is to explore Machine Learning (ML) models that best predict PLOS.

Methods: Our dataset was collected from the French Medico-Administrative database (PMSI) as a retrospective cohort study of all discharges in the year 2015 from a large university hospital in France (APHM). The study outcomes were LOS transformed into a binary variable (long vs. short LOS) according to the 90^th percentile (14 days). Logistic regression (LR), classification and regression trees (CART), random forest (RF), gradient boosting (GB) and neural networks (NN) were applied to the collected data. The predictive performance of the models was evaluated using the area under the ROC curve (AUC).

Results: Our analysis included 73,182 hospitalizations, of which 7,341 (10.0%) led to PLOS. The GB classifier was the most performant model with the highest AUC (0.810), superior to all the other models (all p-values <0.0001). The performance of the RF, GB and NN models (AUC ranged from 0.808 to 0.810) was superior to that of the LR model (AUC = 0.795); all p-values <0.0001. In contrast, LR was superior to CART (AUC = 0.786), p < 0.0001. The variable most predictive of the PLOS was the destination of the patient after hospitalization to other institutions. The typical clinical profile of these patients (17.5% of the sample) was the elderly patient, admitted in emergency, for a trauma, a neurological or a cardiovascular pathology, more often institutionalized, with more comorbidities notably mental health problems, dementia and hemiplegia.

Discussion: The integration of ML, particularly the GB algorithm, may be useful for health-care professionals and bed managers to better identify patients at risk of PLOS. These findings underscore the need to strengthen hospitals through targeted allocation to meet the needs of an aging population.