BNDMR - National Data Bank for Rare Diseases (Banque Nationale de Données Maladies Rares)

Head :
Landais Paul
Choquet Rémy

Last update : 08/17/2016 | Version : 1 | ID : 73142

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Métadonnées
Identification
General Aspects
Scientific investigator(s) (Contact)
Collaborations
Funding
Governance of the database
Additional contact
Type of database
Database objective
Population type
Dates
Size of the database
Data
Procedures
Promotion
Access
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General
Identification
Detailed name National Data Bank for Rare Diseases (Banque Nationale de Données Maladies Rares)
Sign or acronym BNDMR
CNIL registration number, number and date of CPP agreement, AFSSAPS (French Health Products Safety Agency) authorisation CNIL
General Aspects
Medical area Rare diseases
Health determinants Addictions
Climate
Genetic
Geography
Healthcare system and access to health care services
Iatrogenic
Intoxication
Lifestyle and behavior
Medicine
Nutrition
Occupation
Pollution
Social and psychosocial factors
Keywords Rare diseases, medical information, patient records, CEMARA
Scientific investigator(s) (Contact)
Name of the director Landais
Surname Paul
Phone +33 (0)4 66 68 36 30
Email paul.landais@chu-nimes.fr
Organization CHU Nimes
Name of the director Choquet
Surname Rémy
Phone +33 1 44 49 41 14
Email remy.choquet@upmc.fr remy.choquet@aphp.fr
Organization Hôpital Necker-Enfants malades
Collaborations
Funding
Funding status Public
Details DGOS (Directorate General for Care Provision)
Governance of the database
Sponsor(s) or organisation(s) responsible BNDMR
Organisation status Public
Presence of scientific or steering committees Yes
Additional contact
Main features
Type of database
Type of database Health relevant administrative databases
Database objective
Main objective This database aims to:
– Better document the patient and his/her disease
– Improve healthcare network organisation
– Make rare diseases visible and help regulatory reporting
– Better harness the potential of large national databases
– Improve research within the field
Inclusion criteria Patients from voluntary reference and specialist centres for rare diseases.
Population type
Age Newborns (birth to 28 days)
Infant (28 days to 2 years)
Early childhood (2 to 5 years)
Childhood (6 to 13 years)
Adolescence (13 to 18 years)
Adulthood (19 to 24 years)
Adulthood (25 to 44 years)
Adulthood (45 to 64 years)
Elderly (65 to 79 years)
Great age (80 years and more)
Population covered Sick population
Gender Male
Woman
Geography area National
Detail of the geography area France
Data collection
Dates
Date of first collection (YYYY or MM/YYYY) 2003 (expansion of CEMARA [CEntres MAladies RAres (Rare Disease Centres)]
Size of the database
Size of the database (number of individuals) Greater than 20 000 individuals
Details of the number of individuals 290,000 (37,000 new patients annually)
Data
Database activity Current data collection
Type of data collected Clinical data
Declarative data
Paraclinical data
Biological data
Administrative data
Clinical data (detail) Direct physical measures
Medical registration
Presence of a biobank No
Health parameters studied Health event/morbidity
Health event/mortality
Health care consumption and services
Care consumption (detail) Hospitalization
Medical/paramedical consultation
Medicines consumption
Procedures
Data collection method Innovative collection method by promoting data collection directly within the healthcare framework. National minimum data set for rare diseases – MDS. BaMaRa: secure web application interoperable with the existing hospital information system that allows data on rare diseases (patient identification, activity, diagnosis, etc.) to be entered, monitored and exploited.
Classifications used Rare diseases: suitable for various clinical situations and linked to Orphanet, OMIM, HPO, CIM10
Participant monitoring No
Links to administrative sources Yes
Linked administrative sources (detail) PMSI, SNIIRAM
Promotion and access
Promotion
Link to the document http://www.bndmr.fr/espace-documentaire/publications-scientifiques/
Access
Terms of data access (charter for data provision, format of data, availability delay) Contact the scientist in charge.
Access to aggregated data Access on specific project only
Access to individual data Access on specific project only

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