Literature DB >> 30396361

The European challenges of funding orphan medicinal products.

Márta Szegedi1, Tamás Zelei2,3, Francis Arickx4, Anna Bucsics5, Emanuelle Cohn-Zanchetta6, Jurij Fürst7, Maria Kamusheva8, Pawel Kawalec9, Guenka Petrova8, Juraj Slaby10, Ewa Stawowczyk9, Milan Vocelka10, Ingrid Zechmeister-Koss11, Zoltán Kaló2,3, Mária Judit Molnár12.   

Abstract

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.

Entities:  

Keywords:  Equity; European Union; Funding; Orphan medicinal products; Patient access; Reimbursement

Mesh:

Year:  2018        PMID: 30396361      PMCID: PMC6219168          DOI: 10.1186/s13023-018-0927-y

Source DB:  PubMed          Journal:  Orphanet J Rare Dis        ISSN: 1750-1172            Impact factor:   4.123


Background

Prior to public reimbursement of pharmaceuticals and medical devices, cost-effectiveness and budget impact are increasingly applied evaluation criteria alongside other conditions. Pharmaceutical manufacturers tend to increase prices of truly innovative new medicines. Reacting to the increasing health expenditures more and more third-party payers tend to rationalize their expenditures by implementing cost-effectiveness criterion. There is significant tension between manufacturers and payers in judging the economically justifiable price and this tension is even more expressive in case of orphan medicinal products (OMPs) for patients with rare diseases [1, 2]. A developed and morally matured society should judge the value of therapeutic improvements without taking into account the rarity of diseases or the opportunity cost of public spending on new medicines. Objective decision-making for public reimbursement has to be based on clinical, economic and social criteria, considering the appropriateness and uncertainty of evidence [3-7]. Internationally accepted definitions for rare diseases (RDs) and for OMPs have not been harmonised yet, but based on the prevalence of diseases different approaches tend to be quite similar. According to the current definition of the European Union (EU), the RDs are mostly inherited life-threatening or chronically debilitating diseases, which affect fewer than 5 out of 10,000 people. Approximately, 5–8000 RDs and ailments have been diagnosed by the medical science [8]. OMPs are indicated for the diagnosis, treatment or prevention of life-threatening or very serious conditions of patients with RDs [9]. The purpose of the legislation was to determine the qualitative criteria of orphan designation. Furthermore, the Regulation (EC) No. 141/2000 describes the incentives for research, development, and marketing authorization of medicines/methods intended for diagnostics, treatment or prevention of RDs [10]. European (or other international) inventories for OMPs are available on the European Medicines Agency (EMA) website and official European public assessment reports (EPAR) [11]. Orphanet is a reference portal for information on RDs and OMPs for all audiences. On this website, the orphan designations, as well as the OMPs authorized by different procedures from various countries (i.e. EU, Japan, and USA) are listed with related and relevant information [12]. Usually, the prices of OMPs are significantly higher than pharmaceutical prices in common diseases. Health economic evaluation of OMPs is complicated due to difficulties in selecting policy relevant comparators, wide confidence intervals of efficacy parameters and serious adverse events, the lack of hard clinical endpoints in clinical trials and uncertainty in patient numbers and resource utilisation and treatment costs per patient. It is difficult to measure the efficacy and cost-effectiveness of OMPs; however, several proposals address this challenge [13-15]. From another point of view, the willingness to pay for one unit of health gain might be different for technologies in RDs; therefore, implementation of transparent criteria for pricing and reimbursement is a big challenge [16-18]. In almost all EU countries, regulators, payers and healthcare providers should make additional efforts to improve the accessibility of patients with RDs to OMPs by special policy interventions and agreements [19, 20]. However, unaffordable prices and increasing expenditure on OMPs challenge the sustainability of healthcare funding in all countries [21]. Previous studies concluded that external price referencing system prevented lower-income Central and Eastern European (CEE) countries from implementing value based pharmaceutical prices [22]. While the public healthcare budgets in lower-income countries are significantly lower, relatively higher OM prices induce greater burden to reimburse these medicines in CEE [23, 24]. Our objective was to draw a map on the economic burden of 83 medicines with designated OM status in 2015 by EMA in 8 EU countries with different economic status and population size, including Austria, Belgium, Bulgaria, Czech Republic, France, Hungary, Poland and Slovenia. We investigated two aspects of patient access in countries with different economic status, the availability of OMPs with public reimbursement in 2015, and the public expenditure on OMPs in 2013 and 2014. We analysed whether public reimbursement is an increased challenge for lower-income countries.

Methods

We found 83 medicines based on the list OMPs published at the Orphanet website and validated the list based on the pharmaceutical database of EMA [25, 26]. Competent authorities or institutes in the 8 participant countries were contacted to provide reimbursement status of these OMPs with specific details on the applied reimbursement technique in 2015. We intended to collect data from 8 countries with various population size and different geographical and economic status across the EU. We evaluated reimbursement status in five categories, including (1) standard reimbursement through both retail pharmacies and hospitals; (2) standard reimbursement through retail pharmacies; (3) standard reimbursement in hospitals only; (4) special patient level reimbursement that is not automated based on patient eligibility but on individual requests; and (5) no public reimbursement. The qualitative (reimbursement techniques) and quantitative data (total public expenditures - pharmaceutical and healthcare budgets) were provided by the national public administration bodies summarized in Table 1. Demographic and economic data (size of population, exchange rates, GDP) was obtained from the Eurostat website as the footnotes of the tables show. Austrian demographic data was not available in the Eurostat database, the source was the OECD website.
Table 1

The sources of the data per Member State

AustriaFederation of Austrian Social Insurance Institutions(Hauptverband der österreichischen Sozialversicherungsträger)
BelgiumNational Institute for Health and Disability Insurance of Belgium(Institut National d’Assurance Maladie-Invalidité / Rijksinstituut voor ziekte-en invaliditeitsverzekering, INAMI / RIZIV)
BulgariaNational Health Insurance Fund (NHIF)National Council on Prices and Reimbursement of Medicinal Products (NCPR)
Czech RepublicState Institute for Drug Control(Státní ústav pro kontrolu léčiv, SUKL)
FranceFrench National Authority for Health(Haute Autorité de Sante, HAS)
HungaryNational Health Insurance Fund Administration of Hungary(Országos Egészségbiztosítási Pénztár, OEP)
PolandNational Health Fund (Narodowy Fundusz Zdrowia), Ministry of Health (Ministerstwo Zdrowia)
SloveniaHealth Insurance Institute of Slovenia(Zavod za zdravstveno zavarovanje Slovenije, ZZZS)
The sources of the data per Member State We also collected country level data on public OM spending in 2013 and 2014. Annual average total public expenditures in 2013–14 were calculated per capita, and as a proportion of GDP, total public pharmaceutical and healthcare budgets. We converted spending to Euros by applying the annual currency exchange rates based on Eurostat data. We compared public expenditure on ten specific OMPs per 100.000 inhabitants in 2013 and 2014. We intended to select a representative sample of OMPs based on different attributes as field of the indication, existing therapeutic alternative, relative effectiveness (potentially curative/non-curative treatment), rarity (orphan/ ultra-orphan status) and cost commitment, as the Table 2 shows. A heterogeneous group of OMPs was collected, including idursulfase for mucopolysaccharidosis type II., rifunamide for Lennox–Gastaut syndrome, romiplostim for idiopathic thrombocytopenic purpura, trabectedin for sarcomas and ovarian neoplasms, nelarabine for special types of leukaemia or lymphoma, sildenafil for pulmonary hypertension, alglucosidase alfa for glycogen storage disease type II, icatibant for inadequate or non-functioning C1-Inhibitor protein and sapropterin for phenylketonurias, and eculizumab for paroxysmal nocturnal haemoglobinuria or for atypical haemolytic uremic syndrome.
Table 2

The attributes for selection of 10 Orphan Medicinal Products

Field of the indicationaOther therapeutic alternative(s)?aClinical/Relative Effectiveness (potentially curative/non-curative treatment)aRarity (orphan/ ultra-orphan status)aCost commitmentb
Alglucosidase alfaGlycogen storage disease type IINoIncremental (non-curative)UOMedium
EculizumabParoxysmal nocturnal haemoglobinuria or for atypical haemolytic uremic syndromeNoMajor (non-curative)OHigh
IcatibantHereditary angioedemaYesMajor (non-curative)OMedium
IdursulfaseMucopolysaccharido-sis type IINoIncremental (non-curative)UOHigh
NelarabineSpecial types of leukaemia or lymphomaNoCurativeOMedium
RufinamideLennox–Gastaut syndromeYesMajor (non-curative)OLow
RomiplostimIdiopathic thrombocytopenic purpuraNoCurativeOMedium
SapropterinPhenylketonuriaYesMajor (non-curative)OLow
SildenafilPulmonary hypertensionNoMajor (non-curative)OLow
TrabectedinSarcomas and ovarian neoplasmsNoIncremental (non-curative)OHigh

Abbreviations: O Orphan Medicinal Product, UO Ultra-orphan medicinal product

Sources: a The European public assessment reports (EPAR) for human medicines published by the European Medicines Agency (EMA) http://www.ema.europa.eu/ema/

bNational Health Insurance Fund Administration of Hungary (Országos Egészségbiztosítási Pénztár, OEP)

The attributes for selection of 10 Orphan Medicinal Products Abbreviations: O Orphan Medicinal Product, UO Ultra-orphan medicinal product Sources: a The European public assessment reports (EPAR) for human medicines published by the European Medicines Agency (EMA) http://www.ema.europa.eu/ema/ bNational Health Insurance Fund Administration of Hungary (Országos Egészségbiztosítási Pénztár, OEP)

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 individual basis (see Fig. 1). The standard reimbursement listing was ranged from 0 to 41%.
Fig. 1

Reimbursement Status of Orphan Medicines in 8 EU Member States in 2015

Reimbursement Status of Orphan Medicines in 8 EU Member States in 2015 Within the standard reimbursement techniques we distinguished reimbursement for outpatient care through retail pharmacies or inpatient care through hospitals. Patients in Austria and France had over 90% access rate to OMPs, in Bulgaria and Poland patients had access to less than 30% of the 83 OMPs. The details of public reimbursement status of OMPs in 2015 are presented in the Additional file 1. Data on public expenditure of OMPs was not accessible in France. In the 7 participant countries total public expenditures on OMPs were increased from 1.13–21.95 €/capita (mean: 7.36 €/capita) in 2013 to 1.69–25.04 €/capita (mean: 8.66 €/capita) in 2014. The average spending per capita in 2013–14 was ranged between1.41–23.50 € (mean: 8.63 €/capita). The absolute spending per capita showed 16.7 fold differences between countries with the highest and lowest spending. However, it should be noted that no data were available on hospital expenditure of OMPs from Austria and Bulgaria. Results are summarized in Table 3.
Table 3

The Total Public Expenditure on OMPs in Euro per Capita in 7 EU Countries in 2013 and 2014

AustrialBelgiumBulgariamCzech RepublicnHungaryPolandSlovenia
2013
 Total public expenditure on OMPs in local currency98,600,000 €a245,000,000 €b16,201,220 BGNc1,100,000,000 CZKd9,577,605,323 HUFe212,725,536 PLNf16,893,308 €g
 Eurostat exchange rate - annual data (/1 €)1.96 BGNh25.98 CZKh296.87 HUFh4.20 PLNh
 Total public expenditure on OMPs in €98,600,000245,000,0008266,00042,340,00032,262,00050,649,00016,893,000
 Size of population8,500,000j11,161,642i7,284,552i10,516,125i9,908,798i38,062,535i2,058,821i
 Total public expenditure on OMPs in €/capita11.6021.951.134.033.261.338.21
2014
 Total public expenditure on OMPs in local currency109,800,000 €a280,000,000 €b23,967,183 BGNc1,400,000,000 CZKo12,501,994,171 HUFe348,368,792PLNf19,853,716 €g
 Eurostat exchange rate - annual data (/1 €)1.96 BGNh27.54 CZKh308.71 HUFh4.18 PLNh
 Total public expenditure on OMPs in €109,800,000280,000,00012,228,00050,835,00040,496,00083,342,00019,854,000
 Size of population8,500,000k11,180,840i7,245,677i10,512,419i9,877,365i38,017,856ii2,061,085
 Total public expenditure on OMPs in €/capita12.9225.041.694.844.102.199.63
 Average of total expenditure on OMP in €/capita in 2013 and 201412.2623.501.414.433.681.768.92

Sources: a Federation of Austrian Social Insurance Institutions (Hauptverband der österreichischen Sozialversicherungsträger)

bNational Institute for Health and Disability Insurance of Belgium (Institut National d'Assurance Maladie-Invalidité / Rijksinstituut voor ziekte-en invaliditeitsverzekering, INAMI / RIZIV)

cNational Health Insurance Fund of Bulgaria, National Council on Prices and Reimbursement of Medicinal Products

dState Institute for Drug Control (Státní ústav pro kontrolu léčiv, SUKL)

e National Health Insurance Fund Administration of Hungary (Országos Egészségbiztosítási Pénztár, OEP)

fNational Health Fund (Narodowy Fundusz Zdrowia), Ministry of Health (Ministerstwo Zdrowia)

g Health Insurance Institute of Slovenia (Zavod za zdravstveno zavarovanje Slovenije, ZZZS)

h http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=ert_bil_eur_a&lang=en

ihttp://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=demo_gind&lang=en

jAustrian data was not available on Eurostat database, the source: https://data.oecd.org/pop/population.htm

kAustrian data was not available on Eurostat or OECD database, the calculated number was taken from the previous year

lOrphan drug expenditure in hospitals not included

mThese data was based on 10 OMs reimbursed by National Health Insurance Fund

nAdditional drugs were identified which held orphan designation until 2013/14 with significant costs (Glivec, Ilaris, Ventavis)

oData was not available at time of data request; this number assumes same total expenditure on public healthcare as in year 2013

The Total Public Expenditure on OMPs in Euro per Capita in 7 EU Countries in 2013 and 2014 Sources: a Federation of Austrian Social Insurance Institutions (Hauptverband der österreichischen Sozialversicherungsträger) bNational Institute for Health and Disability Insurance of Belgium (Institut National d'Assurance Maladie-Invalidité / Rijksinstituut voor ziekte-en invaliditeitsverzekering, INAMI / RIZIV) cNational Health Insurance Fund of Bulgaria, National Council on Prices and Reimbursement of Medicinal Products dState Institute for Drug Control (Státní ústav pro kontrolu léčiv, SUKL) e National Health Insurance Fund Administration of Hungary (Országos Egészségbiztosítási Pénztár, OEP) fNational Health Fund (Narodowy Fundusz Zdrowia), Ministry of Health (Ministerstwo Zdrowia) g Health Insurance Institute of Slovenia (Zavod za zdravstveno zavarovanje Slovenije, ZZZS) h http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=ert_bil_eur_a&lang=en ihttp://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=demo_gind&lang=en jAustrian data was not available on Eurostat database, the source: https://data.oecd.org/pop/population.htm kAustrian data was not available on Eurostat or OECD database, the calculated number was taken from the previous year lOrphan drug expenditure in hospitals not included mThese data was based on 10 OMs reimbursed by National Health Insurance Fund nAdditional drugs were identified which held orphan designation until 2013/14 with significant costs (Glivec, Ilaris, Ventavis) oData was not available at time of data request; this number assumes same total expenditure on public healthcare as in year 2013 As the Table 4 shows, average expenditures on OMPs ranged between 2.25–6.51% of the public pharmaceutical budget, and 0.44–0.96% of public healthcare expenditures in 2013–14. No data was available for Austria and Bulgaria.
Table 4

Total Public Expenditure on OMPs in 2013 and 2014 compared to GDP, Total Pharmaceutical and Healthcare Budget

AustriacBelgiumBulgariaCzech RepublicHungaryPolandSlovenia
2013
 Total public expenditures on OMPs (thousand €)98,600a245,000a8266a42,340a32,262a50,649a16,893a
 Total GDP (thousand €)322,539,200b391,712,000b42,011,500b157,741,600b101,483,300b394,721,100b35,917,100b
 Total public expenditures on OMPs in proportion of GDP (%)0.03%0.06%0.02%0.03%0.03%0.01%0.05%
 % of total pharmaceutical expenditures3.74% e6.18% f3.07% g2.00% h3.42% i1.95% j4.65% k
 % of total healthcare expendituresNA0.91% fNA0.4% h0.53% i0.34% j0.74% k
 Total pharmaceutical expenditures (thousand €) (calculated)2,636,3643,964,401269,2482,117,013943,3322,597,381363,297
 Total healthcare expenditures (thousand €) (calculated)NA26,923,077NA10,585,0656,087,16114,896,7462,282,879
2014
 Total public expenditures on OMPs (thousand €) (Growth compared to 2013, %)109,800 (+ 11.4%)a280,000 (+ 14.3%)a12,228 (+ 47.9%)a50,835 (+ 20.1%)a40,498 (+ 25.5%)a83,341 (+ 64.5%)a19,854 (+ 17.5%)a
 Total GDP (thousand €)330,417,600b400,805,000b42,762,200b166,964,100b104,953,300b410,989,700b37,332,400b
 Total public expenditures on OMPs in proportion of GDP (%)0.03%0.07%0.03%0.03%0.04%0.02%0.05%
 % of total pharmaceutical expenditures3.94%e6.84% f4.15% g2.50% h4.25% i3.2% j5.47% k
 % of total healthcare expendituresNA1.01% fNA0.60% h0.66% i0.54% j0.84% k
 Total pharmaceutical expenditures (thousand €) (calculated)2,786,8024,093,567294,6542,033,406952,8832,604,432362,956
 Total healthcare expenditures (thousand €) (calculated)NA27,722,772NA8,472,5256,135,99015,433,6702,363,538
Total public expenditures on OMPs in proportion of GDP (%) in 20130.03%0.06%0.02%0.03%0.03%0.01%0.05%
Total public expenditures on OMPs in proportion of GDP (%) in 20140.03%0.07%0.03%0.03%0.04%0.02%0.05%
Average0.03%0.07%0.02%0.03%0.04%0.02%0.05%
Total public expenditure on OMPs as a proportion of total public pharmaceutical expenditures in 20133.74%6.18%3.07%2.00%3.42%1.95%4.65%
Total public expenditure on OMPs as a proportion of total public pharmaceutical expenditures in 20143.94%6.84%4.15%2.50%d4.25%3.20%5.47%
Average3.84%6.51%3.61%2.25%3.84%2.58%5.06%
Total public expenditure on OMPs as a proportion of total public healthcare expenditures in 2013NA0.91%NA0.40%0.53%0.34%0.74%
Total public expenditure on OMPs as a proportion of total public healthcare expenditures in 2014NA1.01%NA0.60%d0.66%0.54%0.84%
AverageNA0.96%NA0.50%0.60%0.44%0.79%

Sources: a Data was given from Table 1

bhttp://ec.europa.eu/eurostat/tgm/refreshTableAction.do?tab=table&plugin=1&pcode=tec00001&language=en

cOrphan drug expenditure in hospitals not included

dData was not available at time of data request. this number assumes same total expenditure on public healthcare as in year 2013

eFederation of Austrian Social Insurance Institutions (Hauptverband der österreichischen Sozialversicherungsträger)

fNational Institute for Health and Disability Insurance of Belgium (Institut National d'Assurance Maladie-Invalidité / Rijksinstituut voor ziekte-en invaliditeitsverzekering, INAMI / RIZIV)

gNational Health Insurance Fund of Bulgaria, National Council on Prices and Reimbursement of Medicinal Products

hState Institute for Drug Control (Státní ústav pro kontrolu léčiv, SUKL)

iNational Health Insurance Fund Administration of Hungary (Országos Egészségbiztosítási Pénztár, OEP)

jNational Health Fund (Narodowy Fundusz Zdrowia), Ministry of Health (Ministerstwo Zdrowia)

kHealth Insurance Institute of Slovenia (Zavod za zdravstveno zavarovanje Slovenije, ZZZS)

Total Public Expenditure on OMPs in 2013 and 2014 compared to GDP, Total Pharmaceutical and Healthcare Budget Sources: a Data was given from Table 1 bhttp://ec.europa.eu/eurostat/tgm/refreshTableAction.do?tab=table&plugin=1&pcode=tec00001&language=en cOrphan drug expenditure in hospitals not included dData was not available at time of data request. this number assumes same total expenditure on public healthcare as in year 2013 eFederation of Austrian Social Insurance Institutions (Hauptverband der österreichischen Sozialversicherungsträger) fNational Institute for Health and Disability Insurance of Belgium (Institut National d'Assurance Maladie-Invalidité / Rijksinstituut voor ziekte-en invaliditeitsverzekering, INAMI / RIZIV) gNational Health Insurance Fund of Bulgaria, National Council on Prices and Reimbursement of Medicinal Products hState Institute for Drug Control (Státní ústav pro kontrolu léčiv, SUKL) iNational Health Insurance Fund Administration of Hungary (Országos Egészségbiztosítási Pénztár, OEP) jNational Health Fund (Narodowy Fundusz Zdrowia), Ministry of Health (Ministerstwo Zdrowia) kHealth Insurance Institute of Slovenia (Zavod za zdravstveno zavarovanje Slovenije, ZZZS) Data on the public expenditure of the 10 selected OMPs in different therapeutic areas were not available in France and Austria. Compared to the average spending of participant countries, Belgium and Slovenia had significantly higher spending, whilst spending in Bulgaria and Poland was far below the average. (See Table 5.)
Table 5

Public Spending on 10 Selected Orphan Medicinal Products in 6 EU Countries in 2013–14

Average spending per 100,000 inhabitants in 2013–14Ratio of spending compared to the average of 6 countries
Belgium281,878 €2,15
Bulgaria34,586 €0,26
Czech Republic115,187 €0,88
Hungary83,097 €0,63
Poland51,591 €0,39
Slovenia219,926 €1,68
Public Spending on 10 Selected Orphan Medicinal Products in 6 EU Countries in 2013–14 We made a similar calculation for those three OMPs that were accessible for patients with public reimbursement in the countries in 2013–14 (see Table 6). According to the Hungarian regulation, financial data of some OMPs among the indicators were allowed to published only as summarized amounts, therefore we were not able to separate the annual total expenditures of these OMPs, thus we had to ignore the Hungarian data.
Table 6

Public Spending on 3 Orphan Medicinal Products with Reimbursement in 5 EU Countries in 2013–14

Average spending per 100,000 inhabitants in 2013–14Ratio of spending compared to the average of 5 countries
Belgium94,744 €1,39
Bulgaria33,387 €0,49
Czech Republic80,526 €1,18
Poland51,565 €0,76
Slovenia80,699 €1,18
Public Spending on 3 Orphan Medicinal Products with Reimbursement in 5 EU Countries in 2013–14 Based on the ratio of country specific spending compared to the average spending of participant countries (see Table 5 and Table 6) similar tendency can be observed; wealthier countries spend more per capita on ODs than lower-income countries.

Discussion

According to our data, accessibility to OMPs is associated with the economic status of the member state (MS) [22, 27]. In Austria, Belgium and France more OMPs were accessible for patients with public reimbursement than in Bulgaria, Czech Republic, Hungary, and Poland indicating an equity gap between Eastern and Western Europe. Slovenia was in between Western-European and CEE countries. The reimbursement categories of OMPs are related to different decision criteria. Although market access criteria of OMPs with standard reimbursement listing through retail pharmacies may not be as strong as criteria for pharmaceuticals in common diseases, OMPs with such reimbursement status at least go through a centralised evaluation procedure and price negotiation in the MSs. Evaluation criteria and price negotiation for OMPs with standard reimbursement in hospitals only may be less sophisticated in some countries compared to OMPs on the outpatient reimbursement list. In Belgium and France other than standard reimbursement techniques do not exist. Special individual reimbursement might be available only for children (< 18 years) in Bulgaria. However, the application of special reimbursement for individual patients cannot be associated with the economic status of participant countries. There are substantial differences in the total public expenditure on OMPs per capita in participant countries. The absolute spending is clearly associated with the economic status of countries. If we assume a narrow price corridor across countries due to the widely used external price referencing system, confidential discounts, unequal spending translates to inequity in access to OMPs. Interestingly, the spending on OMPs as a proportion of GDP, public pharmaceutical and healthcare expenditure was not higher in lower-income countries compared to those with higher-income, which also indicates substantial differences in patient access to OMPs in favour of higher-income countries. However, we must emphasize that utilisation of OMPs highly depends on many other factors, including the prevalence of RDs or the availability of diagnostic facilities. European collaboration is a crucial need to improve equal access to OMPs across the European Union. Regarding the registration and health technology assessment step, existing networks, initiatives and proposals - such EUnetHTA [28]; EU proposal on HTA [29] - have a predominant role to exchange and collect information, and summarize knowledge in order to create one therapeutic, scientific compilation report to support the centralized procedure of the marketing authorization; and to facilitate the decision-making process with semi-qualitative transparent value matrix as the MOCA project recommended or with the framework provided by the multi-criteria decision analysis model [30]. It should maintain bilateral connections for the national HTA authorities - to participate in the information summarization and to provide a well-informed basis for the national assessment procedure [31, 32]. The central regulatory body should require and provide the compilation report accessible at the time of marketing authorization and towards, as well as the permanent mapping and announcement of unmet needs of MSs. The generalizability of the findings may be limited due to several reasons. First of all, it should be emphasized that the orphan status of medicines is flexible and can change over time. We have not evaluated the availability of other funding channels, including early access programs, donations, and compassionate use. Finally, we did not have access to all of the data in every participant country.

Conclusions

European policymakers pay special attention to positively discriminate patients with rare diseases. There are international policy tools to facilitate the research and development of orphan medicinal products, and payers in some countries may apply special criteria to approve the reimbursement of OMPs. Consequently we can state that equity in OM access for patients with rare diseases is an important policy objective in each member state of the European Union. However, our study indicates serious inequity in access across EU member states, which requires additional research and consequently harmonised policy actions at the European level. Our research could not prove that the public funding of OMPs would be a greater burden to the lower-income countries, mainly because these countries manage the sustainability of public healthcare funding by limiting patient access to high cost therapies. The Map for Funding Orphan Medicinal Products in 8 EU Member States in 2015. (DOCX 63 kb)
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Journal:  Appl Health Econ Health Policy       Date:  2010       Impact factor: 2.561

6.  Haemophilia care in Europe - a survey of 35 countries.

Authors:  B O'Mahony; D Noone; P L F Giangrande; L Prihodova
Journal:  Haemophilia       Date:  2013-04-04       Impact factor: 4.287

7.  Paying for the Orphan Drug System: break or bend? Is it time for a new evaluation system for payers in Europe to take account of new rare disease treatments?

Authors:  Wills Hughes-Wilson; Ana Palma; Ad Schuurman; Steven Simoens
Journal:  Orphanet J Rare Dis       Date:  2012-09-26       Impact factor: 4.123

8.  Pricing and reimbursement of orphan drugs: the need for more transparency.

Authors:  Steven Simoens
Journal:  Orphanet J Rare Dis       Date:  2011-06-17       Impact factor: 4.123

Review 9.  Systematic review on the evaluation criteria of orphan medicines in Central and Eastern European countries.

Authors:  Tamás Zelei; Mária J Molnár; Márta Szegedi; Zoltán Kaló
Journal:  Orphanet J Rare Dis       Date:  2016-06-04       Impact factor: 4.123

10.  Recommendations from the European Working Group for Value Assessment and Funding Processes in Rare Diseases (ORPH-VAL).

Authors:  Lieven Annemans; Ségolène Aymé; Yann Le Cam; Karen Facey; Penilla Gunther; Elena Nicod; Michele Reni; Jean-Louis Roux; Michael Schlander; David Taylor; Carlo Tomino; Josep Torrent-Farnell; Sheela Upadhyaya; Adam Hutchings; Lugdivine Le Dez
Journal:  Orphanet J Rare Dis       Date:  2017-03-10       Impact factor: 4.123

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  11 in total

Review 1.  [Orphan drugs from the perspective of the Drug Commission of the German Medical Association : Opportunities and challenges].

Authors:  Wolf-Dieter Ludwig
Journal:  Internist (Berl)       Date:  2019-04       Impact factor: 0.743

2.  Public spending on orphan medicines: a review of the literature.

Authors:  Margit Gombocz; Sabine Vogler
Journal:  J Pharm Policy Pract       Date:  2020-10-13

Review 3.  How to Value Orphan Drugs? A Review of European Value Assessment Frameworks.

Authors:  Alessandra Blonda; Yvonne Denier; Isabelle Huys; Steven Simoens
Journal:  Front Pharmacol       Date:  2021-05-12       Impact factor: 5.810

4.  Reimbursement Legislations and Decision Making for Orphan Drugs in Central and Eastern European Countries.

Authors:  Krzysztof Piotr Malinowski; Paweł Kawalec; Wojciech Trąbka; Marcin Czech; Guenka Petrova; Manoela Manova; Alexandra Savova; Pero Draganić; Lenka Vostalová; Juraj Slabý; Agnes Männik; Kristóf Márky; Zinta Rugaja; Jolanta Gulbinovic; Tomas Tesar; Marian Sorin Paveliu
Journal:  Front Pharmacol       Date:  2019-05-08       Impact factor: 5.810

5.  Role of patients associations in connective tissue calcifiying diseases: a position statement from EuroSoftCalc.Net group.

Authors:  Maria García-Fernández; Ludovic Martin; Pedro Valdivielso; Marta Jacinto; Guillemette Devernois; Jorge Laplana
Journal:  Orphanet J Rare Dis       Date:  2021-02-08       Impact factor: 4.123

Review 6.  Methodological Quality Assessment of Budget Impact Analyses for Orphan Drugs: A Systematic Review.

Authors:  Khadidja Abdallah; Isabelle Huys; Kathleen Claes; Steven Simoens
Journal:  Front Pharmacol       Date:  2021-04-21       Impact factor: 5.810

7.  The Awareness of Rare Diseases Among Medical Students and Practicing Physicians in the Republic of Kazakhstan. An Exploratory Study.

Authors:  Dariusz Walkowiak; Kamila Bokayeva; Alua Miraleyeva; Jan Domaradzki
Journal:  Front Public Health       Date:  2022-04-08

8.  How Can We Optimize the Value Assessment and Appraisal of Orphan Drugs for Reimbursement Purposes? A Qualitative Interview Study Across European Countries.

Authors:  Alessandra Blonda; Yvonne Denier; Isabelle Huys; Pawel Kawalec; Steven Simoens
Journal:  Front Pharmacol       Date:  2022-07-19       Impact factor: 5.988

9.  Pharmacotherapeutic Patterns and Patients' Access to Pharmacotherapy for Some Rare Diseases in Bulgaria - A Pilot Comparative Study.

Authors:  Maria Kamusheva; Maria Dimitrova; Konstantin Tachkov; Guenka Petrova; Zornitsa Mitkova
Journal:  Front Pharmacol       Date:  2021-07-19       Impact factor: 5.810

10.  Should Hungary Pay More for a QALY Gain than Higher-Income Western European Countries?

Authors:  Sándor Kovács; Bertalan Németh; Dalma Erdősi; Valentin Brodszky; Imre Boncz; Zoltán Kaló; Antal Zemplényi
Journal:  Appl Health Econ Health Policy       Date:  2022-01-18       Impact factor: 3.686

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