Cost-effectiveness of alternative NTRK testing strategies in cancer patients followed by histology-independent therapy with entrectinib: an analysis of three European countries.

Aim: To explore variations in the cost-effectiveness of entrectinib across different testing strategies and settings. Methods: Four testing strategies where adult cancer patients received entrectinib if they tested positive for NTRK gene fusions compared with 'no testing' and standard of care (SoC) for all patients were evaluated. Results: Immunohistochemistry for all patients followed by RNA-based next-generation sequencing after a positive result was the optimal strategy in all included countries. However, the incremental net monetary benefit compared with SoC was negative in all countries, ranging between international euros (int€) -206 and -404. In a subgroup analysis with only NTRK-positive patients, the incremental net monetary benefit was int€ 8405 in England, int€ -53,088 in Hungary and int€ 54,372 in The Netherlands. Conclusion: Using the cost-effectiveness thresholds recommended by national guidelines, none of the testing strategies were cost-effective compared with no testing. The implementation of entrectinib is unlikely to become cost-effective in Hungary, due to the large cost difference between the entrectinib and SoC arms, while there might be more potential in England and The Netherlands.

Histology-independent pharmaceuticals are a new phenomenon in cancer care. Most chemotherapies are prescribed based on the tumor's (primary) location, while histology-independent therapies are prescribed based on genetic markers in the tumor DNA. In this study, the added value of the histology-independent treatment entrectinib, which is aimed at cancer patients with so-called NTRK gene fusions, was investigated. Because these patients must be identified before they can be given entrectinib, various strategies for diagnostic testing were considered. An economic model was programmed to gain insight into the costs and health outcomes associated with the different testing strategies. The same analysis was done for three different countries (England, Hungary and The Netherlands) using local data. In all three countries, the health gains from receiving entrectinib may be large for patients with NTRK gene fusions. However, treatment with entrectinib was also much more expensive than standard-care treatment, especially in Hungary. In each of the three countries, all evaluated testing strategies were found to offer a negative net benefit to society (i.e., a net loss). This may be partially explained by the fact that NTRK gene fusions are rare, meaning that a large group of cancer patients has to receive (costly) testing while, subsequently, only a few patients enjoy the benefit of switching to a treatment that is more effective for them (i.e., entrectinib). Nonetheless, in England and Hungary, even if the most accurate test was provided for free, the net benefit to society of implementing entrectinib remained negative. Further changes, such as a reduction in the price of entrectinib, may therefore be needed.

Cost-effectiveness of genetic-based screening strategies for maturity-onset diabetes of the young.

Maturity-onset diabetes of the young (MODY) is often misdiagnosed as Type I or II diabetes. This study was designed to assess the cost-effectiveness of MODY screening strategies in Hungary, which included a recent genetic test compared with no routine screening for MODY. A simulation model that combined a decision tree and an individual-level Markov model was constructed to assess the costs per quality-adjusted life year of screening strategies. Stratifying patients based on age and insulin treatment followed by a risk assessment questionnaire, a laboratory test and genetic testing was the most cost-effective strategy, saving EUR 12 and generating 0.0047 quality-adjusted life years gained per screened patient. This screening strategy could be considered for reimbursement, especially in countries with limited resources.

Lessons learned from the application of the HEcoPerMed guidance to three modeling case studies.

Background: The HEcoPerMed consortium developed a methodological guidance for the harmonization and improvement of economic evaluations in personalized medicine. Materials & methods: In three therapeutic areas, health economic models were developed to scrutinize the recommendations of the guidance. Results: Altogether, 20 of the 23 recommendations of the guidance were addressed by the models. Seven recommendations were applied in all studies, six in two of the studies and seven in one of the studies. Recommendations with an essential role on the final conclusions of the analyses were identified in each study. Conclusion: The guidance was found to be best used as a tool to identify and prioritize issues, verify solutions and justify decisions during the economic analysis of personalized interventions.

Cost-effectiveness of extended DPYD testing before fluoropyrimidine chemotherapy in metastatic breast cancer in the UK.

The aim of this study was to evaluate the cost-effectiveness of ToxNav©, a multivariant genetic test, to screen for DPYD followed by personalized chemotherapy dosing for metastatic breast cancer in the UK compared with no testing followed by standard dose, standard of care. In the main analysis, ToxNav was dominant over standard of care, producing 0.19 additional quality-adjusted life years and savings of £78,000 per patient over a lifetime. The mean additional quality-adjusted life years per person from 1000 simulations was 0.23 savings (95% CI: 0.22-0.24) at £99,000 (95% CI: £95-102,000). Varying input parameters independently by range of 20% was unlikely to change the results in the main analysis. The probabilistic sensitivity analysis showed ~97% probability of the ToxNav strategy to be dominant.

Cost-effectiveness and budget impact analysis of screening strategies for maturity-onset diabetes of the young in three European countries.

Background: Correct diagnosis of maturity-onset diabetes of the young (MODY), which is often misdiagnosed as Type 1 or 2 diabetes, is important for providing appropriate treatment. Materials & Methods: A diabetes model was adapted to Hungary, the Netherlands, and the UK to analyse the cost-effectiveness and budget impact of different screening strategies for MODY with 20 years time horizon. Results: Compared with no screening, screening with the MODY calculator then genetic testing is considered cost-effective with respect to each country's willingness to pay threshold. The addition of autoantibody testing dominated the no screening strategy. The budget impact of the strategies ranges between 0.001 and 0.025% of annual public healthcare spending. Conclusion: The analysed strategies are considered good value for money with potential cost savings in the long term.

Budget impact and transferability of cost-effectiveness of DPYD testing in metastatic breast cancer in three health systems.

The cost-effectiveness and budget impact of introducing extended DPYD testing prior to fluoropyrimidine-based chemotherapy in metastatic breast cancer patients in the UK, The Netherlands and Hungary were examined. DPYD testing with ToxNav© was cost-effective in all three countries. In the UK and The Netherlands, the ToxNav strategy led to more quality-adjusted life years and fewer costs to the health systems compared with no genetic testing and standard dosing of capecitabine/5-fluorouracil. In Hungary, the ToxNav strategy produced more quality-adjusted life years at a higher cost compared with no testing and standard dose. The ToxNav strategy was found to offer budget savings in the UK and in The Netherlands, while in Hungary it resulted in additional budget costs.

Financial incentives to promote personalized medicine in Europe: an overview and guidance for implementation.

The implementation of adequate financing and reimbursement of personalized medicine (PM) in Europe is still turbulent. The views and experience of stakeholders about barriers in financing and reimbursing PM and potential solutions were elicited and supplemented with literature findings to draft a set of recommendations. Key recommendations to overcome the barriers for adequately financing and reimbursing PM in different healthcare systems in Europe included the provision of legal foundations and establishment of large pan-European databases, use of financial-based agreements and regulation of transparency of prices and reimbursement, and creating a business-friendly environment and attractive market for innovation. The recommendations could be used by health authorities for designing a sequence of policy steps to ensure the timely access to beneficial PM.

Systematic literature review of the epidemiology of glycogen storage disease type 1a.

Glycogen storage disease (GSD) type 1a is an inherited autosomal recessive metabolic disease caused by a deficiency in glucose-6-phosphatase activity. The objectives of this research were to systematically review the published literature on the epidemiology of GSD 1a and to assess the performance of reported epidemiology measures in a simulation model. In this systematic literature review 2,539 record titles and abstracts were screened. Of these, only 11 studies contained relevant data on GSD 1a disease epidemiology. Reported disease frequency ranged from 0.085/100,000 to 10.3/100,000 newborns when considering all the GSD literature. When this was narrowed to GSD 1 and GSD 1a, the range was tightened to 0.25-3.02/100,000 and 0.085-4.9/100,000 newborns, respectively. Most of the identified studies counted the number of diagnoses in a defined period and related to the number of births in the same (Dx method) or different time period (DoB method). The simulation model results indicate that in most of the situations, the Dx method provides a closer estimate to the true disease incidence than the DoB method. Despite the scarcity of epidemiology data, the results of this systematic review strongly support that GSD 1a and its parent disease groups (GSD and GSD 1) are rare diseases.

Cost-Effectiveness Analysis of Treating Patients With NTRK-Positive Cancer With the Histology-Independent Therapy Entrectinib.

OBJECTIVES: This study tackles several challenges of evaluating histology-independent treatments using entrectinib as an example. Histology-independent treatments are provided based on genetic marker(s) of tumors, regardless of the tumor type. We evaluated the lifetime cost-effectiveness of testing all patients for NTRK fusions and treating the positive cases with entrectinib compared with no testing and standard of care (SoC) for all patients. METHODS: The health economic model consisted of a decision tree reflecting the NTRK testing phase followed by a microsimulation model reflecting treatment with either entrectinib or SoC. Efficacy of entrectinib was based on data from basket trials, whereas historical data from NTRK-negative patients were corrected for the prognostic value of NTRK fusions to model SoC. RESULTS: "Testing" (testing for NTRK fusions, with subsequent entrectinib treatment in NTRK-positive patients and SoC in NTRK-negative patients) had higher per-patient quality-adjusted life-years (QALYs) and costs than "No testing" (SoC for all patients), with a difference of 0.0043 and €732, respectively. This corresponded to an incremental cost-effectiveness ratio (ICER) of €169 957/QALY and, using a cost-effectiveness threshold of €80 000/QALY, an incremental net monetary benefit of -€388. When excluding the costs of genetic testing for NTRK fusions, the ICER was reduced to €36 290/QALY and the incremental net monetary benefit increased to €188. CONCLUSIONS: When treatment requires the identification of a genetic marker, the associated costs and effects need to be accounted for. Because of the low prevalence of NTRK fusions, the number needed-to-test to identify patients eligible for entrectinib is large. Excluding the testing phase reduces the ICER substantially.

Systematic literature review of health economic models developed for multiple myeloma to support future analyses.

AIMS: The goal of this study was to review the economic evaluations of health technologies in multiple myeloma (MM) and provide guidance and recommendations for future health economic analyses. MATERIALS AND METHODS: A systemic literature review (SLR) was conducted on original economic assessment studies and structured review papers focusing on the studies in MM. The search was limited to English language papers published from 1 January 2000 onwards. Publications not applying any type of modelling methodology to describe disease progression and patient pathways over a specific time horizon were excluded. RESULTS: A total of 2,643 publications were initially identified, of which 148 were eligible to be included in the full-text review phase. From these, 49 publications were included in the final analysis. Most published health economic analyses supported by models came from high-income countries. Evaluations from middle-income countries were rarely published. Diagnostic technologies were rarely modelled and integrated care had not been modelled. Very few models investigated MM treatments from a societal perspective and there was a relative lack of evaluations regarding minimal residual disease (MRD). LIMITATIONS: Limitations of the publications included differences between trial populations and modelled populations, justification of methods, lack of confounder analyses, and small trial populations. Limitations of our study included the infeasibility of comparing MM economic evaluations due to the significant variance in modelled therapeutic lines and indications, and the relative scarcity of published economic evaluations from non-high-income countries. CONCLUSIONS: As published economic models lacked many of the elements of the complex and heterogeneous patient pathways in MM and they focused on single decision problems, a thorough, open-source economic whole disease modelling framework is needed to assess the economic value of a wide range of technologies across countries with various income levels with a more detailed view on MM, by including patient-centric and societal aspects.

Patient and Caregiver Experience Decision Factors in Treatment Decision Making: Results of a Systematic Literature Review of Multiple Myeloma Decision Aids.

OBJECTIVES: Decision-aids (DAs) may facilitate shared decision-making for patients and caregivers, by providing evidence-based information to assist healthcare professionals, patients, and caregivers in making choices about aspects of care, and/or highlighting decision factors to discuss with the potential of altering the treatment decision. These decision factors may not be well integrated in DAs. METHODS: A systematic literature review was conducted in the field of multiple myeloma (MM) on peer-reviewed publications, extended with a gray literature search. Data on whether and how patient and caregiver experience elements, other than survival and physical quality of life, were mentioned as decision factors in the identified MM DAs were extracted and analyzed qualitatively. RESULTS: Seventy MM DAs were found and analyzed; 51% of DAs mentioned any patient non-routinely assessed experience decision factors and only 17% mentioned any caregiver-related information. One hundred and forty potential decision factors were extracted, deduplicated and categorized into the following categories: 1) financial, 2) mode of administration / transportation issues, 3) personal beliefs and values, 4) emotional and social quality of life, 5) other medical information, 6) availability of social support, 7) caregiver burden. None of the DAs presented a comprehensive framework on all seven categories of decision factors being consider when mapping patient and caregiver experience value elements in MM. CONCLUSIONS: Based on available DAs, we recommend a set of patient and caregiver experience decision factors that have the potential to affect treatment choices of patients with MM, which should be included in DAs, including MM clinical guidelines.

Beyond medicines' barriers: exploring the true cost of multiple myeloma.

AIM: The goal of this research was to quantify and qualify all the costs associated with multiple myeloma (MM) from a healthcare and societal perspective and to highlight certain costs that are often underestimated. MATERIALS AND METHODS: The study used a mixed methods approach that consisted of three phases: a systemic literature review (SLR), a virtual roundtable discussion based on the results of the SLR, and an online survey. RESULTS: In total, 4321 records were identified by literature and snowball searches. After applying the eligibility criteria, 49 articles were included in the narrative summary. As combination treatments have become the mainstay of MM treatment, drug costs have become the most important component of the total healthcare costs. Collected evidence suggests that optimizing treatment pathways, besides prolonging patient survival and maintaining quality of life, has the potential to generate cost savings for all stakeholders (payers and patients). Improved patient access to new therapies that can improve outcomes may reduce the "financial toxicity" of MM by decreasing patients' and caregivers' productivity loss due to better prognosis and it also has the potential of reducing patients' direct health care payments. LIMITATIONS: Heterogeneity of research objectives of included studies, costing methods, and applied measurement units limited the comparability of cost data between studies. Data for more than half of the world's population, including China, Russia, the Middle East, and Africa were not investigated. CONCLUSION: While treatment costs are burdensome for healthcare systems, it is only one of several items that make up the True Cost of MM. Understanding these burdens is one way to argue for optimized treatment pathways and improve patient outcomes by tearing down access barriers.

Financing and Reimbursement Models for Personalised Medicine: A Systematic Review to Identify Current Models and Future Options.

BACKGROUND: The number of healthcare interventions described as 'personalised medicine' (PM) is increasing rapidly. As healthcare systems struggle to decide whether to fund PM innovations, it is unclear what models for financing and reimbursement are appropriate to apply in this context. OBJECTIVE: To review financing and reimbursement models for PM, summarise their key characteristics, and describe whether they can influence the development and uptake of PM. METHODS: A literature review was conducted in Medline, Embase, Web of Science, and Econlit to identify studies published in English between 2009 and 2021, and reviews published before 2009. Grey literature was identified through Google Scholar, Google and subject-specific webpages. Articles that described financing and reimbursement of PM, and financing of non-PM were included. Data were extracted and synthesised narratively to report on the models, as well as facilitators, incentives, barriers and disincentives that could influence PM development and uptake. RESULTS: One hundred and fifty-three papers were included. Research and development of PM was financed through both public and private sources and reimbursed largely through traditional models such as single fees, Diagnosis-Related Groups, and bundled payments. Financial-based reimbursement, including rebates and price-volume agreements, was mainly applied to targeted therapies. Performance-based reimbursement was identified mainly for gene and targeted therapies, and some companion diagnostics. Gene therapy manufacturers offered outcome-based rebates for treatment failure for interventions including Luxturna®, Kymriah®, Yescarta®, Zynteglo®, Zolgensma® and Strimvelis®, and coverage with evidence development for Kymriah® and Yescarta®. Targeted testing with OncotypeDX® was granted value-based reimbursement through initial coverage with evidence development. The main barriers and disincentives to PM financing and reimbursement were the lack of strong links between stakeholders and the lack of demonstrable benefit and value of PM. CONCLUSIONS: Public-private financing agreements and performance-based reimbursement models could help facilitate the development and uptake of PM interventions with proven clinical benefit.

The Net Benefit of Personalized Medicine: A Systematic Literature Review and Regression Analysis.

OBJECTIVES: Amidst conflicting expectations about the benefits of personalized medicine (PM) and the potentially high implementation costs, we reviewed the available evidence on the cost-effectiveness of PM relative to non-PM. METHODS: We conducted a systematic literature review of economic evaluations of PM and extracted data, including incremental quality-adjusted life-years (ΔQALYs) and incremental costs (Δcosts). ΔQALYs and Δcosts were combined with estimates of national cost-effectiveness thresholds to calculate incremental net monetary benefit (ΔNMB). Regression analyses were performed with these variables as dependent variables and PM intervention characteristics as independent variables. Random intercepts were used to cluster studies according to country. RESULTS: Of 4774 studies reviewed, 128 were selected, providing cost-effectiveness data for 279 PM interventions. Most studies were set in the United States (48%) and the United Kingdom (16%) and adopted a healthcare perspective (82%). Cancer treatments (60%) and pharmaceutical interventions (72%) occurred frequently. Prognostic tests (19%) and tests to identify (non)responders (37%) were least and most common, respectively. Industry sponsorship occurred in 32%. Median ΔQALYs, Δcosts, and ΔNMB per individual were 0.03, Int$575, and Int$18, respectively. We found large heterogeneity in cost-effectiveness. Regression analysis showed that gene therapies were associated with higher ΔQALYs than other interventions. PM interventions for neoplasms brought higher ΔNMB than PM interventions for other conditions. Nonetheless, average ΔNMB in the 'neoplasm' group was found to be negative. CONCLUSIONS: PM brings improvements in health but often at a high cost, resulting in 0 to negative ΔNMB on average. Pricing policies may be needed to reduce the costs of interventions with negative ΔNMB.

Criteria and Scoring Functions Used in Multi-criteria Decision Analysis and Value Frameworks for the Assessment of Rare Disease Therapies: A Systematic Literature Review.

BACKGROUND: Traditionally, the economic value of health technologies is assessed with cost-effectiveness (CE) and budget impact (BI) analyses. However, the evaluation of rare disease therapies often considers novel value criteria. Multi-criteria decision analysis (MCDA) is a promising tool in the assessment of value criteria that typically cannot be captured with traditional approaches. OBJECTIVES: The objective of this research was to investigate the criteria and scoring functions applied in value frameworks and MCDA tools relevant to the evaluation of rare disease therapies. The aim was to gain a better understanding of the domains and measurement of commonly referenced novel value criteria. METHODS: A systematic literature review was performed covering the period from 2013 to 2019. MCDA or value framework articles and structured review papers on orphan-drug-specific MCDA articles were reviewed. Information sources included MEDLINE, Embase, Scopus, and 26 other gray literature sources. A descriptive review of identified criteria and scoring functions was performed, with special focus on "novel" value criteria that are traditionally not considered in CE or BI analyses. RESULTS: In total, 15 relevant value frameworks and MCDA tools were identified. These studies included a large number (n = 56) of individual value criteria. The most commonly included novel criteria were unmet medical need, severity of disease, and reduction in uncertainty. The identified scoring functions (measurement methods) for novel criteria were highly heterogeneous and tailored. Standardized scoring functions were not observed. Additionally, the studies did not provide their rationale for choosing a specific scoring function for a criterion. CONCLUSIONS: MCDA is a promising tool to include novel value criteria into the health technology assessment of therapies for rare diseases. To support the development of a transparent and justified evaluation process, scoring functions should be further investigated.

Guidance for the Harmonisation and Improvement of Economic Evaluations of Personalised Medicine.

OBJECTIVE: The objective of this study was to develop guidance contributing to improved consistency and quality in economic evaluations of personalised medicine (PM), given current ambiguity about how to measure the value of PM as well as considerable variation in the methodology and reporting in economic evaluations of PM. METHODS: A targeted literature review of methodological papers was performed for an overview of modelling challenges in PM. Expert interviews were held to discuss best modelling practice. A systematic literature review of economic evaluations of PM was conducted to gain insight into current modelling practice. The findings were synthesised and used to develop a set of draft recommendations. The draft recommendations were discussed at a stakeholder workshop and subsequently finalised. RESULTS: Twenty-two methodological papers were identified. Some argued that the challenges in modelling PM can be addressed within existing methodological frameworks, others disagreed. Eighteen experts were interviewed. They believed large uncertainty to be a key concern. Out of 195 economic evaluations of PM identified, 56% addressed none of the identified modelling challenges. A set of 23 recommendations was developed. Eight recommendations focus on the modelling of test-treatment pathways. The use of non-randomised controlled trial data is discouraged but several recommendations are provided in case randomised controlled trial data are unavailable. The parameterisation of structural uncertainty is recommended. Other recommendations consider perspective and discounting; premature survival data; additional value elements; patient and clinician compliance; and managed entry agreements. CONCLUSIONS: This study provides a comprehensive list of recommendations to modellers of PM and to evaluators and reviewers of PM models.

Association between transplant glomerulopathy and graft outcomes following kidney transplantation: A meta-analysis.

Transplant glomerulopathy (TG), a morphological lesion associated with confluent mechanisms of endothelial injury of renal allografts, may provide a viable predictor of graft failure. This systematic literature review and meta-analysis were performed according to the PRISMA statement to examine evidence describing the association between TG and graft loss or failure and time to these events. The literature review was conducted using the Scopus, EBSCO, and Cochrane Library search engines. Hazard ratios, median survival times, and 95% confidence intervals (CIs) were estimated to evaluate graft survival in the total population and prespecified subgroups. Meta-regression analysis assessed heterogeneity. Twenty-one publications comprising 6,783 patients were eligible for data extraction and inclusion in the meta-analysis. Studies were highly heterogeneous (I2 = 67.3%). The combined hazard ratio of graft loss or failure from random-effects meta-analysis was 3.11 (95% CI 2.44-3.96) in patients with TG compared with those without. Median graft survival in patients with TG was 3.25 (95% CI 0.94-11.21) years-15 years shorter than in those without TG (18.82 [95% CI 10.03-35.32] years). The effect of time from transplantation to biopsy on graft outcomes did not reach statistical significance (p = 0.116). TG was associated with a threefold increase in the risk of graft loss or failure and a 15-year loss in graft survival, indicating viability as a surrogate measure for both clinical practice and studies designed to prevent or reverse antibody-mediated rejection.

Systematic literature review and meta-analysis on the epidemiology of methylmalonic acidemia (MMA) with a focus on MMA caused by methylmalonyl-CoA mutase (mut) deficiency.

Methylmalonic acidemia/aciduria (MMA) is a genetically heterogeneous group of inherited metabolic disorders biochemically characterized by the accumulation of methylmalonic acid. Isolated MMA is primarily caused by the deficiency of methylmalonyl-CoA mutase (MMA mut; EC 5.4.99.2). A systematic literature review and a meta-analysis were undertaken to assess and compile published epidemiological data on MMA with a focus on the MMA mut subtype (OMIM #251000). Of the 1114 identified records, 227 papers were assessed for eligibility in full text, 48 articles reported on disease epidemiology, and 39 articles were included into the quantitative synthesis. Implementation of newborn screening in various countries has allowed for the estimation of birth prevalence of MMA and its isolated form. Meta-analysis pooled point estimates of MMA (all types) detection rates were 0.79, 1.12, 1.22 and 6.04 per 100,000 newborns in Asia-Pacific, Europe, North America and the Middle East and North Africa (MENA) regions, respectively. The detection rate of isolated MMA was < 1 per 100,000 newborns in all regions with the exception of MENA where it approached 6 per 100,000 newborns. Few studies published data on the epidemiology of MMA mut, therefore no meta-analysis could have been performed on this subtype. Most of the identified papers reported birth prevalence estimates below 1 per 100,000 newborns for MMA mut. The systematic literature review clearly demonstrates that MMA and its subtypes are ultra-rare disorders.

Systematic literature review and meta-analysis on the epidemiology of propionic acidemia.

Propionic acidemia (PA, OMIM #606054) is a serious, life-threatening, inherited, metabolic disorder caused by the deficiency of the mitochondrial enzyme propionyl-coenzyme A (CoA) carboxylase (EC 6.4.1.3). The primary objective of this study was to conduct a systematic literature review and meta-analysis on the epidemiology of PA. The literature search was performed covering Medline, Embase, Cochrane Database of Systematic Reviews, CRD Database, Academic Search Complete, CINAHL and PROSPERO databases. Websites of rare disease organizations were also searched for eligible studies. Of the 2338 identified records, 188 articles were assessed for eligibility in full text, 43 articles reported on disease epidemiology, and 31 studies were included into the quantitative synthesis. Due to the rarity of PA, broadly targeted population-based prevalence studies are not available. Nonetheless, implementation of newborn screening programs has allowed the estimation of the birth prevalence data of PA across multiple geographic regions. The pooled point estimates indicated detection rates of 0.29; 0.33; 0.33 and 4.24 in the Asia-Pacific, Europe, North America and the Middle East and North Africa (MENA) regions, respectively. Our systematic literature review and meta-analysis confirm that PA is an ultra-rare disorder, with similar detection rates across all regions with the exception of the MENA region where the disease, similar to other inherited metabolic disorders, is more frequent.

The European challenges of funding orphan medicinal products.

BACKGROUND: Funding of orphan medicinal products (OMPs) is an increasing challenge in the European Union (EU). OBJECTIVES: To identify the different methods for public funding of OMPs in order to map the availability for rare disease patients, as well as to compare the public expenditures on OMPs in 8 EU member states. METHODS: Information on the reimbursement status of 83 OMPs was collected in 8 countries by distinguishing standard and special reimbursements. In two consecutive years, the total public expenditures on OMPs were calculated by using annual EUR exchange rates. Annual total public expenditures were calculated per capita, and as a proportion of GDP, total public pharmaceutical and healthcare budgets. Differences between countries were compared by calculating the deviations from the average spending of countries. RESULTS: In 2015 29.4-92.8% of the 83 OMPs were available with any kind of public reimbursement in participant countries including special reimbursement on an individual basis. In Austria, Belgium and France more OMPs were accessible for patients with public reimbursement than in Bulgaria, Czech Republic, Hungary and Poland. Standard reimbursement through retail pharmacies and/or hospitals was applied from 0 to 41% of OMPs. The average annual total public expenditure ranged between 1.4-23.5 €/capita in 2013 and 2014. Higher income countries spent more OMPs in absolute terms. Participant countries spent 0.018-0.066% of their GDPs on funding OMPs. Average expenditures on OMPs were ranged between 2.25-6.51% of the public pharmaceutical budget, and 0.44-0.96% of public healthcare expenditures. CONCLUSIONS: Standard and special reimbursement techniques play different roles in participant countries. The number of accessible OMPs indicated an equity gap between Eastern and Western Europe. The spending on OMPs as a proportion of GDP, public pharmaceutical and healthcare expenditure was not higher in lower income countries, which indicates substantial differences in patient access to OMPs in favour of higher-income countries. Equity in access for patients with rare diseases is an important policy objective in each member state of the EU; however, equity in access should be harmonized at the European level.