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Better Health for Mother & Child Inger Kristine Meder, Project Coordinator

Better Health for Mother & Child Inger Kristine Meder, Project Coordinator Lone Fredslund, Data Manager Inge Eisensee, Data Manager. This presentation covers: The Main Aim of the DNBC Types of data in the DNBC databank Data collection waves Linkage to other data sources

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Better Health for Mother & Child Inger Kristine Meder, Project Coordinator

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  1. Better Health for Mother & Child Inger Kristine Meder, Project Coordinator Lone Fredslund, Data Manager Inge Eisensee, Data Manager

  2. This presentation covers: The Main Aim of the DNBC Types of data in the DNBC databank Data collection waves Linkage to other data sources Acces/hand-out of data Data collection in the 11-year follow-up

  3. To study the short and long term health consequences of exposures during conception and early childhood  Aims:

  4. The DNBC databank comprises 4 types of data: • 1) Self-reported data on exposures and outcome. • 2) Data from existing registries • 3) Variables collected for specific purposes • 4) Data from analyses of bio material (GWAS data, etc.

  5. Self-reported data on exposures and outcome. Data from 7 data collection waves: • Pre-pregnancy medicine and vitamin supplements • 1st telephone interview during pregnancy, (3.428) • 2nd telephone interview during pregnancy, (22.755) • Food Frequency Questionnaire, gest. week 25 • 3rd telephone interview (child age 6 months) (10.036) • 4th telephone interview (child age 18 months) – (1.249) • 7-year follow-up (xxxxx) • 11-year follow-up – (starting 1st April 2010)

  6. Data collection waves

  7. 2) Data from existing registries The DNBC is a national registry, owned by the Danish National Board of Health. The DNBC is updated - on a yearly basis – with data from other Danish administrative registries • Danish National Patient Registry (LPR) • Medical Birth Registry • Civil Registration System (CPR)

  8. 2) Data from existing registries • Danish National Patient Registry (LPR) • ICD10 diagnoses • Medical Birth Registry • Date of birth, anthropometry • Civil Registration System (CPR) • Address and vital status (historical addresses) • Psychiatric registry • diagnoses • Statistics Denmark • data can be linked with variables from SD on their server

  9. Acces to Data • DNBC Data are available for all researchers (see homepage) • As long as projects do not • harm the DNBC’s reputation • are incompatibel with the overall aim. • The Management group takes no responsibility for the scientific quality of project in which they have no part. • Access to biological specimens is restricted.

  10. Data hand-out To avoid having large datasets in circulation, Scientists have access via a Citrix solution. Datasets for approved projects are placed on our server. Datasets are put together on a ”need-to-know” bases, personal identifiers are removed.

  11. Challenges • More work for DNBC data managers: external datasets must be merged with DNBC dataset • Or: if datasets come from both DNBC data and from Danish registries, sometimes problems for scientist when merging the two sets.

  12. Derived/new variables • Derived variables – how to document and perform quality control - and integrate new variables? • New external data – which procedures/quality control to establish? • Structure for organising these variables is needed.

  13. 11-year follow-up • 11-year follow-up is due to start medio April 2010. • Demonstrate Inquisite questionnaire to mothers and children.

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