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I have no personal or financial interests to declare
I have no financial support from an industry source at the current presentation.
대한혈액학회 Korean Society of Hematology
COI disclosureName of author : María del Mar Mañú Pereira
The Rare Anaemia Disorders European Epidemiological Platform
www.eurobloodnet.eu/radeep
Dr. María del Mar Mañú PereiraERN-EuroBloodNet Scientific DirectorUniversity Hospital Vall d’HebrónBarcelona - Spain
What is ERN-EuroBloodNet?
Member Sate nº HCPBelgium 5
Bulgaria 2
Cyprus 1
Czech Republic 1
Germany 4
Spain 1
France 12
Ireland 1
Italy 21
Lithuania 1
The Netherlands 6
Poland 1
Portugal 3
Sweden 1
United Kingdom 6
Members 66
Co-funded by the Health Programme of the European Union
ERN-EuroBloodNetresults from a joint effort of many pieces
ERN-EuroBloodNet is a collaborative network of 66 healthcare providers (HCPs) in 15 MS that brings together individuals and institutions committed to improving healthcare services in Rare Hematological Diseases
Oncological diseases HubCoordinated by Prof P. FenauxAP-HP, Hôpital St Louis, Paris
Non -oncological diseases HubCoordinated by Prof B. GulbisCUB-Hôpital Erasme, Brussels
•Myeloid malignancies•Lymphoid malignancies
• Rare red blood cell defects • Bone marrow failures and rare haematopoietic disorders• Rare bleeding-coagulation disorders and related diseases• Haemochromatosis and rare hereditary iron metabolism disorders
Oncological diseases coordinators:
• Myeloid malignancies
23 HCPs from 9 MS
P. Fenaux (France)
U. Platzbecker (Germany)
S. Wintrich (UK) - ePAG
• Lymphoid malignancies
22 HCPs from 10 MS
A. Engert (Germany)
C. Thieblemont (France)
P. Aumont (France) -ePAG
Non-Oncological diseases:
• Rare Red blood cell defects
36 HCPs from 12 MS
B. Gulbis (Belgium)
N. Cappellini (Italy)
L. Brunetta (Italy) - ePAG
• Bone marrow failures
20 HCPs from 8 MS
A. Iolascon (Italy)
R. Peffault (France)
M. Piggin (UK)
• Rare bleeding-coagulation disorders
35 HCPs from 10 MS
M. Makris (UK)
F. Peyvandi (Italy)
A. Bok (UK) - ePAG
• HH and and hereditary iron metabolism disorders
15 HCPs from 6 MS
G. Porto (Portugal)
D. Swinkels (The Netherlands)
ERN-EuroBloodNet – Disease coverage and coordinators
Objectives and Transversal Fields of Action (TFAs)
Improvement in clinical patient management
Improve equal access to highly specialized healthcare delivery for RHD
Promote best practices in prevention, diagnosis and safe clinical care
Disseminate cutting-edge knowledge and facilitate continuing medical education in the field of RHD
Provide inter-professional consultation by sharing of expertise and safe exchange of clinical information
Foster European cooperation in highly specialized procedures for diagnosis, innovative treatments and research
Objectives and Transversal Fields of Action (TFAs)
Improvement in clinical patient management
Cross-border health
Best practices
Clinical trials and research
Continuing medicaleducation
Telemedicine
Objectives and Transversal Fields of Action (TFAs)
Improvement in clinical patient management
Cross-border health
Best practices
Clinical trials and research
Continuing medicaleducation
Mapping of services for best clinical care
Availability of Highly specialized procedures
Model for cross border referral system
Assessment of guidelines
Task force on TaxonomyEQAS
Public database of reliable guidelines
Identification of educational gaps, with EHA and ESH
Short fellowships of health professionals
Telemedicine
Clinical Patient Management System
Mapping of CTs
Sponsoring of CTs
Systematic retrieval for international ca
European epidemiological surveillance
RADeep, the Rare Anaemia Disorders European Epidemiological Platform, is a joint venture conceived in the core of ERN-EuroBloodNet, as an umbrella for both new and already existing European patients’ registries in rare anaemias
Why RADeep?
RADeep’s Principle is to maximize public benefit from data on RAs opened-up through the platform with the only restriction needed to guarantee patient’s rights and confidentiality in agreement with EU regulations for cross-border sharing of personal data
RADeep general objective is to engage clinical research to improve the delivery of best healthcare
For patients with RAs, to map at the European levelo Demographyo Survival rateo Diagnosis methodso Main clinical manifestationso Treatments
Benefits
possibility to share and pool data, essential for RAsreach critical numbers
perform studies, researchknowledge generation (evidence)
better healthcare for RAs patients
Why RADeep?
Coordination and Steering Committee: Policy and Data Access committee Data quality and interoperability Harmonization including Common Data Set Technical platform and safeguards for secure Exchange of data International collaborations and long-term sustainability
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Disease specific Scientific Committee:- Deployment of disease specific RADeep arm- Address disease specific needs- Expansion of RA - Common Data Set- Gathering of Data- Clinical and Policy reports
Implementation of RADeep
Registries
Medical centres
Patients
Providers of data
Users of data
Researchers
Medical centres
Patients
Industry
Policy makersRADeep is built in line with the EC-Joint Research Centre European Platform on RD registration
https://eu-rd-platform.jrc.ec.europa.eu/
Implementation of RADeep
Data Access Committee
Pooling of expertsInvolvement of stakeholders
Outreach of the Registry: target groupsInternational collaborations & sustainability
RADeep in the context of the ERNs and the EC Program for RDs
Point of information
RADeep in the context of the ERNs and the EC Program for RDs
RADeep in the context of the ERNs and the EC Program for RDs
New General Data Protection RegulationPersonal Data:
• Data containing any identifiers that make possible to find out who the subjects are, including codes orpseudonyms.
• Data and/or factors that in tandem allow the re-identification of data subject, although by indirect means.
Sharing of Personal Data (for both clinical practice and research):• Informed consent is required
• Have to be done with the appropriate safeguards ----- pseudonymisation tool
RADeep in the context of the ERNs and the EC Program for RDs
RD-Registries using EUPID are supported in being GDPR-compliant
Why EUPID?
EUPID has been designed to facilitate secondary use of datasets in Biomedical Research and Healthcare by addressing the following major requirements:o prevent duplicate registration of patients
o avoid creating a transparent universal patient ID but
o provide distinct pseudonyms for patients in different contexts
o keep a protected link between the different pseudonyms in the background
o which supports creating merged, datasets for secondary use
o preserve the possibility for re-identification by a trusted third party
RADeep in the context of the ERNs and the EC Program for RDs
Data provider: Medical centre or national registryGenerates the pseudonymKeep locally the link betweenpseudonym and personal data
Trusty Third Party
RADeep in the context of the ERNs and the EC Program for RDs
Pseudonym
RA - Diseasespecific Data Set
RA-Common Data Set92 items
38 Mandatory51 Optional
RD-CommonData Set16 items
RADeep specific objectives and Common Data Set
RA – Rare Anaemias
RD – Rare Diseases
Primary objective
Assessment of prevalence and incidence of RAs in Europe:
o What is the prevalence/incidence of the disease?
o Is it changing over time?
o Where are the patients?
Secondary objectives
Assessment of survival
Main clinical manifestations
Treatments
o How severe is the disease?
RADeep specific objectives and Common Data Set
• Information about the status of the patient and geographical location for
prevalence studies and survival (Date of birth, gender, patient status, country,
medical centre)
RA-CDS based on:o EU-RD Platform / French RD Registry
o Belgium SCD Registry / French THAL & PKD Registry / Spanish SCD &THAL Registry / Italian initiatives for THAL and CDA / German
registry for SCD / American registry for SCD/ UK Registry for SCD and THAL
o 92 ítems - 38 Mandatory – 23 to be updated
- 51 Optional – 38 to be updated
- 3 automatically generated
RADeep specific objectives and Common Data Set
• Information to appreciate methods used for diagnosis and to calculate
diagnosis delay and diagnosis wavering (Clinical and genetic diagnosis, onset, first symptoms)
• Hematological parameters
• Serological data: Rate of infections
• Clinical manifestations (Neonatal manifestations, Iron overload, cholelithiasis, splenomegaly, heart disease, endocrine complications)
• Treatments (Blood transfusion requirement and annual transfusion information; chelation; splenectomy; HSTC; use of specific
treatment)
• Assessment of inclusion in CT protocols
Data provider: Medical centre or national registryGenerates the pseudonymKeep locally the link betweenpseudonym and personal data
TTP
Pseudonym
RADeep in the context of the ERNs and the EC Program for RDs
Data provider: Medical centre or national registryGenerates the pseudonymKeep locally the link betweenpseudonym and personal data
TTP
Pseudonym
Aggregated DataNo personal Data
RADeep in the context of the ERNs and the EC Program for RDs
Web-based RADeep platform – mySQLServer in Cyprus – Data storage in Cyprus
Entering data in RADeep
- Manually entering of data in RADeep
o Data Managers in Medical centres with high number of patients
- Users / Accounts password protected
o Define levels of access (read, edit, specific items..)
Extracting data from RADeep
- A set of predefined “Queries” implemented by RADeep (no limit)
- Export data in:
- Excel
- Multiple CSV files
- Import multiple CSV files in a local Data Base (DB)
- RADeep guidance for constructing the local DB “in line” ----- Server at the national level
Data provider: Medical centre
RADeep - IT Platform solution
Web-based RADeep platform – mySQLServer in Cyprus – Data storage in Cyprus
Entering data in RADeep
- Manually entering of data in RADeep
o Data Managers in Medical centres with high number of patients
- Users / Accounts password protected
o Define levels of access (read, edit, specific items..)
Extracting data from RADeep
- A set of predefined “Queries” implemented by RADeep (no limit)
- Export data in:
- Excel
- Multiple CSV files
- Import multiple CSV files in a local Data Base (DB)
- RADeep guidance for constructing the local DB “in line” ----- Server at the national level
Data provider: Medical centre
Supporting a) the existing registries becoming interoperable and b) the setting up of new registries
RADeep - IT Platform solution
Web-based RADeep platform – mySQLServer in Cyprus – Data storage in Cyprus
Entering data in RADeep
- Manually entering of data in RADeep
o Data Managers in Medical centres with high number of patients
- Users / Accounts password protected
o Define levels of access (read, edit, specific items..)
- Pseudonym
o Personal Data only at the local level
Extracting data from RADeep
- A set of predefined “Queries” implemented by RADeep (no limit)
- Permission to access National individual Data – Agreement required
- Export data in:
- Excel
- Multiple CSV files
- Import multiple CSV files in a local Data Base (DB)
- RADeep guidance for constructing the local DB “in line” ----- Server at the national level
National Registry (New registries or without specific software in place)
Supporting a) the existing registries becoming interoperable and b) the setting up of new registries
RADeep - IT Platform solution
Web-based RADeep platform – mySQLServer in Cyprus – Data storage in Cyprus
Entering data in RADeep
- Individual Data
- Manually entered by Data managers or Semi-automatically transfer of data (need to analyse case
per case)
Extracting data from RADeep
- A set of predefined “Queries” implemented by RADeep (no limit)
- Export data in:
- Excel
- Multiple CSV files
- Import multiple CSV files in a local Data Base (DB)
- RADeep guidance for constructing the local DB “in line” ----- Server at the national level
National Registry (With specific software in place)
Supporting a) the existing registries becoming interoperable
RADeep - IT Platform solution
RADeep - Policy
Challenge:
RADeep dissemination and long-term sustainability
Action plan:
Involvement of many parties• Support the development of National / Regional / Local registries• Proposal to help gathering the data (data managers)• Proposal to link existing registries to RADeep
RADeep is partially co-financed by pharmaceutical companies HOWEVERindustry will not have access to personal data allowing patients’identification, but only to pseudoanonymous and/or aggregated(statistical) data, following the same established policy for the transfer ofdata to other third parties.
Property remains ALWAYS in RADeep members (coordinators and dataproviders) regulated by specific legal contracts
RADeep - Policy
1. RADeep answers to the EC request to ERNs for working on EU Platforms for registry of patients affected
by RDs
2. RADeep Policy is established in line with EU-RD Platform and is GDPR-compliant
3. Providers of information and users of information are identified and transparent rules for data sharing
have been developed
4. Pseudonymisation constitutes an appropiate measure for achieving data protection through Technology
5. Comprehensive common data set has been established based on real examples of existint registries and
in agreement with RADeep’s primary and secondary objectives
6. RADeep offers a technical solution with appropiate safeguards GDPR-compliant for:
o Development of European registries i.e. PKD, CDA, HSt
o Support the integration of existing National registries i.e. SCD, THAL and the creation of new ones
by giving guidance
Messages
Work together is better than alone