IPDLN Workshop: Opportunities for cross-country comparisons of linked administrative education and health data

Anne-Marie Nybo Andersen, Siddartha Aradhya, Josephine Funck Bilsteen, Nick Bowden, Erin Early, Kathleen Falster, Martin Flatø, Rob French, Erika Hagemann, Katie Harron, Jen Keating, Mika Gissler, Rebecca Mitchell, Alicia Montgomerie, Nathan Nickell, Irene Papanicolas, Rhiannon Pilkington, Paul Romitti, Sujitha Ratnasingham, Lisa SmithersNieves Valdés, Ben Wilson

Research output: Contribution to journalMeeting abstract

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Abstract

Objectives: To understand how we can better initiate and run international collaborations to deliver tangible and impactful findings using population-wide linked health and education data.

Approach: Representatives from 14 countries (America, Australia, Canada, Chile, Denmark, England, Finland, Germany, New Zealand, Northern Ireland, Norway, Scotland, Sweden, Wales) summarised the potential for research using their linked administrative health and education data. The scope for collaboration and comparison of research findings across countries was explored.

Results: Several substantive research themes emerged, including the quantifying of differences in educational outcomes by health conditions and other early life factors, using health data to better identify and explore the special educational needs identified in educational records, using linked health and education data to identify and explore reasons for absenteeism from school.

Conclusions: The workshop showcased the primary themes for research and the data assets available within each country for comparative work. Further work is required to more robustly document the available detail within these datasets, collaboratively develop protocol templates for comparative studies, and develop pilot, proof of concept, studies.
Original languageEnglish
Article number427
Number of pages1
JournalInternational Journal of Population Data Science
Volume9
Issue number5
DOIs
Publication statusPublished - 2024
EventInternational Population Data Linkage Network Conference -
Duration: 15 Sept 202418 Sept 2024

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