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INTRODUCTION: The conect4children (c4c) consortium was setup to facilitate the development of new drugs and therapies for paediatric populations and address key challenges associated with paediatric clinical trials. Two of the major adopting principles for c4c were academia-industry partnership and data harmonisation and interoperability through common eCRF definitions. To understand the challenges arising out of these principles, the c4c team at Newcastle University conducted semi-structured interviews with four c4c industry partners. METHODS: Each partner was asked 10 questions about the data standards used in their company, management and maintenance of data dictionaries, how they dealt with paediatric-specific issues, major knowledge gaps and how academia could aid in bridging these gaps. Thematic analysis was performed to identify patterns in their answers. RESULTS: All companies use the Clinical Data Interchange Standards Consortium (CDISC) standards but face problems when certain terminology is not included in CDISC (e.g., paediatric-specific terminologies). All companies were committed to interoperability and had strict policies about how additional terminology could be added to their dictionaries. Three of the four companies maintained a single dictionary but also had lighter versions for specific usage. The two major knowledge gaps identified from the interviews were handling of non-CDISC terminology and maintenance of normal lab ranges in dictionaries. DISCUSSION: To address these gaps, c4c has been working on a four-point plan including the development of a cross-cutting paediatric dictionary and a paediatric user guide in collaboration with CDISC.
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Desenvolvimento de Medicamentos , Parcerias Público-Privadas , Criança , Humanos , Pesquisa Qualitativa , Ensaios Clínicos como AssuntoRESUMO
Public health relies on technologies to produce and analyse data, as well as effectively develop and implement policies and practices. An example is the public health practice of epidemiology, which relies on computational technology to monitor the health status of populations, identify disadvantaged or at risk population groups and thereby inform health policy and priority setting. Critical to achieving health improvements for the underserved population of people living with rare diseases is early diagnosis and best care. In the rare diseases field, the vast majority of diseases are caused by destructive but previously difficult to identify protein-coding gene mutations. The reduction in cost of genetic testing and advances in the clinical use of genome sequencing, data science and imaging are converging to provide more precise understandings of the 'person-time-place' triad. That is: who is affected (people); when the disease is occurring (time); and where the disease is occurring (place). Consequently we are witnessing a paradigm shift in public health policy and practice towards 'precision public health'.Patient and stakeholder engagement has informed the need for a national public health policy framework for rare diseases. The engagement approach in different countries has produced highly comparable outcomes and objectives. Knowledge and experience sharing across the international rare diseases networks and partnerships has informed the development of the Western Australian Rare Diseases Strategic Framework 2015-2018 (RD Framework) and Australian government health briefings on the need for a National plan.The RD Framework is guiding the translation of genomic and other technologies into the Western Australian health system, leading to greater precision in diagnostic pathways and care, and is an example of how a precision public health framework can improve health outcomes for the rare diseases population.Five vignettes are used to illustrate how policy decisions provide the scaffolding for translation of new genomics knowledge, and catalyze transformative change in delivery of clinical services. The vignettes presented here are from an Australian perspective and are not intended to be comprehensive, but rather to provide insights into how a new and emerging 'precision public health' paradigm can improve the experiences of patients living with rare diseases, their caregivers and families.The conclusion is that genomic public health is informed by the individual and family needs, and the population health imperatives of an early and accurate diagnosis; which is the portal to best practice care. Knowledge sharing is critical for public health policy development and improving the lives of people living with rare diseases.
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Genômica/métodos , Política de Saúde , Medicina de Precisão , Saúde Pública , Doenças Raras/terapia , Predisposição Genética para Doença , Genômica/organização & administração , Política de Saúde/legislação & jurisprudência , Humanos , Fenótipo , Formulação de Políticas , Valor Preditivo dos Testes , Prognóstico , Desenvolvimento de Programas , Avaliação de Programas e Projetos de Saúde , Saúde Pública/legislação & jurisprudência , Doenças Raras/diagnóstico , Doenças Raras/epidemiologia , Doenças Raras/genéticaRESUMO
Notwithstanding two decades of policy and legislation in Europe, aimed to foster research and development in rare conditions, only 5-6% of rare diseases have dedicated treatments. Given with the huge number of conditions classed as rare (which is increasing all the time), this equates to major unmet need for patients (over 30 million in the EU alone). Worryingly, the pace of Research and Innovation in Europe is lagging behind other regions of the world, and a seismic shift in the way in which research is planned and delivered is required, in order to remain competitive and-most importantly-bring meaningful, disease-altering treatments to those who desperately need them. The European Reference Networks (ERNs), launched in 2017, hold major potential to alleviate many of these challenges, and more, but only if adequately supported (financially, technically, and via robust policies and infrastructure) to realise that potential: and even then, only if able to forge robust collaborations harnessing the expertise, resources, knowledge and data of all stakeholders involved in rare disease, including Industry. To-date, however, ERN-Industry interactions have been largely limited, for a range of reasons (concerning barriers both tangible and perceived). This Position Statement analyses these barriers, and explains how Together4RD is seeking to move the needle here, by learning from case studies, exploring frameworks for collaboration, and launching pilots to explore how best to plan and deliver multistakeholder interactions addressing real research needs.
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Doenças Raras , Humanos , Europa (Continente)RESUMO
Addressing the many challenges posed by rare diseases to patients, families, and society at large demands a specific national (as well as transnational) focus. Historically, the practice of elaborating and adopting national plans and strategies for rare diseases, following a request from the European Commission in 2009, has been an essential means of ensuring this focus, with 25 European Member States having adopted a plan or strategy at some stage. However, from the vantage point of late 2020, there are signs that momentum and commitment to the development, implementation, and renewal of national plans is waning, in some cases. In this article, we examine the status quo and explore the trend for national plans and strategies to expire without clear commitments or timelines for replacement. We also examine the factors and institutions which supported the initial drive towards the adoption of national plans and strategies in Europe and consider the very different climate in which the next generation of national policies may-or may not-be shaped.
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Biopharmaceutical industry R&D, and indeed other life sciences R&D such as biomedical, environmental, agricultural and food production, is becoming increasingly data-driven and can significantly improve its efficiency and effectiveness by implementing the FAIR (findable, accessible, interoperable, reusable) guiding principles for scientific data management and stewardship. By so doing, the plethora of new and powerful analytical tools such as artificial intelligence and machine learning will be able, automatically and at scale, to access the data from which they learn, and on which they thrive. FAIR is a fundamental enabler for digital transformation.
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Gerenciamento de Dados , Indústria Farmacêutica , Produtos Biológicos , Pesquisa BiomédicaRESUMO
Joint Actions are successful initiatives from the European Commission (EC) that have helped to raise awareness and to bring significant benefit to those suffering from a rare disease (RD). In this paper, we will focus on the activities developed by the EUCERD Joint Action (EJA) and by the Orphanet Joint Action ("Orphanet Europe"). EUCERD Joint Action was co-funded by the EC and the Member States between 2012 and 2015 to help to define the activities and policies in the field of RD and foster exchange of experiences amongst Member States. This project is the continuation of previous efforts to turn RD a priority in the EC Health Programmes. "Orphanet Europe" was a Joint Action co-funded by INSERM, the French Directorate General for Health and the EC to address the need for a common portal that would gather the most update information regarding RD. This need was identified in the European Commission report "Rare Diseases: Europe's challenge" and in the Recommendation of the Council for a European RD portal. These joint actions have supported the policy development work of the European Commission, through the support of their committees for rare diseases. In this paper, the authors aim to raise awareness of the work done by the EUCERD Joint Action on behalf of the rare disease community and the policies established.
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União Europeia , Política Pública , Doenças Raras , Coleta de Dados , Europa (Continente) , Testes Genéticos , Humanos , Sistema de RegistrosRESUMO
As the availability of genetic tests has grown rapidly during the last decade along with the increasing knowledge of the genetic background of rare inherited diseases, sending DNA samples to another country for analysis has become more of a routine than an exception in clinical diagnostics. Nonetheless, few studies of cross-border genetic testing of rare diseases in the European Union (EU) have been carried out, and data about the challenges and problems related to cross-border testing are lacking. The purpose of this study was to investigate the experiences of the molecular genetic laboratories and the clinical genetics units concerning the cross-border genetic testing of rare diseases in the Member States of the EU. Data were collected using web-based questionnaires and phone interviews targeted at laboratories and clinical units registered with the Orphanet database. The specific aims were to clarify the volume, quality and challenges of cross-border genetic testing. The results revealed, for example, that the variability of the required documentation creates confusion and, unexpectedly, sample dispatch was considered a major problem in cross-border testing. In addition, the differences between countries regarding the reimbursement and authorization policies of cross-border testing were significant, thus confirming the pre-existing assumption about unequal access to genetic testing in the different Member States. To facilitate and organize cross-border testing, common practices need to be created at the level of the EU, and follow-up studies are needed to monitor their effects.
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Emigração e Imigração/legislação & jurisprudência , Testes Genéticos/legislação & jurisprudência , Cooperação Internacional , Doenças Raras/genética , Bases de Dados de Ácidos Nucleicos/organização & administração , União Europeia , Humanos , Doenças Raras/diagnósticoRESUMO
BACKGROUND: In the past few years there has been a political imperative driving the creation of European Reference Networks as these are considered a promising way to achieve equity in access to the most up to date medical care across Europe. The right to equity in the access to care was established by the directive of the European Parliament and of the Council on the application of patients' rights in cross-border healthcare. The particular situation for Rare Diseases whereby sharing of expertise can be regarded as especially valuable, as well as the work that is already in place in the networking of Rare Diseases experts means that Rare Diseases are considered excellent models for the development of European Reference Networks. DISCUSSION: To be effective, a Rare Disease network should be based on the common effort of different stakeholders and be built on what is present in the community. European Reference Networks are an excellent model to overcome some of the specificities of rare diseases: scarcity of patients, resources and expertise. European Reference Networks with broad scope will allow the rare disease community the possibility of reaching a larger number of patients and more diversified rare diseases. The practical value of grouping rare diseases in broad networks is well demonstrated in different grouping systems present in Europe (EURORDIS grouping of diseases, "Les filières de santé maladies rares", Orphanet classification and the UK Research Model). In this paper the authors, partners of EUCERD Joint Action, address some of the questions that surround the establishment of European Reference Networks. We will focus on how Rare Diseases could be efficiently grouped in order to constitute European Reference Networks and how they might be structured to allow each and every disease to benefit from networking.