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DATA PRESENTATION

Danish Fetal Medicinee Database

DATABASE

Primary variables


Beta-hCG MoM

Birth data

Birth weight

Child's CPR No.

Congenital malformations

Date of last menstruation

Estimated due date

Ethnicity

Fetal age

Fetal age

Hormonal stimulation

Manner of conception

Mother's age

Mother's BMI

Mother's CPR No.

Mother's height

Mother's weight

PappA MoM

Pre/postnatal chromosome analysis

Pregnancy - complications

Prenatal information

Risk assessment

Singleton pregnancy

Smoking

Spontaneous pregnancy

Spontaneous/provoked abortion


Introduction

The Danish Fetal Medicine Database (FØTO) is a clinical quality database and covers all pregnant women in Denmark who have been scanned as part of pregnancy care in Denmark. Data is reported from four sources: Astraia, Medical Birth Registry, the National Patient Register and the Banish Central Cytogenetic Register.

The aim of FØTO is to monitor and assure the quality of prenatal screening for the most frequent chromosomal disorders such as Down's syndrome and prenatal diagnosis of congenital malformations. Data on foetal growth is also monitored and this is used to monitor and do quality assurance on prenatal identification of children with impaired growth.

Since January 2008, all departments in Denmark that carry out first trimester scans have been uniformly entering the data used in the FØTO database, and have used the same reference curves for biometrics and the same cut-off for the provision of invasive diagnostics. Accordingly, the FØTO database contains national data since 1 January 2008, despite the fact that data was not been collected in the common database before the spring of 2011.

More details

Abbreviation
FØTO
Type
Nationwide clinical quality database
Purpose
Clinical quality

Collection Period

Collection Period
Coverage
Nationwide
Population
The population consists of pregnant women in Denmark who has been scanned at an obstetric department at a public hospital. MFR also provides data on birth outcomes for all births in Denmark and LPR provides data on all spontaneous and induced abortions in the country, i.e. this data also shows women who have not been scanned
Database Categories

Application requirements

The Regional Clinical Quality Databases

Data about clinical quality are collected with the purpose of monitoring and raising the quality of patient treatment in the Danish health-care system. These data can, as well as all other public registers, be made accessible for research projects based on systematic protocols and approved according to the relevant legislations.

Applying for access to data from a regional clinical database requires a list of demands to be obtained. A project description should be attached containing a description of the project explaining the rationale, purpose, methods, budget, publication plan etc.

Furthermore, The Danish Data Protection Agency must approve the project.

Application process

  • Apply via research access (Danish: forskeradgang), an online application system
  • Submit the protocol to The Danish Clinical Registries (RKKP)
  • RKKP registers the application
  • The application is forwarded to the relevant clinical database
  • Potential dialog about adjustment to the protocol
  • Approval and extradition of data (expected 6 months after application)

 

Legislation

The Regional clinical quality databases subject to rules for treatment of personal data, that should secure high quality of patient treatment in Denmark. These legislations include The Act on Processing of Personal Data (Danish: Persondataloven) and The Danish Act of Health (Danish: Sundhedloven). These legislations ensure that data access is limited to relevant purposes.

Contact information

Data owner
The Capital Region of Denmark
Contact data owner
Regionsgården 
Kongens vænge 2
3400 Hillerød
Website - data owner
bit.ly/regionh-english
Data administrator
The Danish Clinical Registries (RKKP)
Contact data administrator
Sofia Møller Kyndesen
T: 20 35 64 26
E: SOFKYN@rkkp.dk
Website - data administrator
bit.ly/dansk-foetalmedicinsk-database