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Lithuanian health data reuse pathway
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Sample details

The Lithuanian health data reuse pathway is a national data infrastructure established to enable secure, centralised access to linked health and administrative records, covering approximately 3.7 million individuals from Lithuania. Participants are included passively through routine data collection from national systems such as electronic health records, health insurance claims, cancer and death registries, and social insurance databases. The cohort includes individuals of all ages and demographics, from infants to the elderly, reflecting the general population of Lithuania. The cohort is continuously updated, with new data added daily from healthcare and administrative systems.

Study design
Registry

Number of participants at first data collection

3,700,000 (participants)

Recruitment is ongoing

Age at first data collection

Varied (participants)

Participant year of birth

Varied (participants)

Participant sex
All

Representative sample at baseline?
The Lithuanian population.

Sample features

All ages
Population-based sample
Dataset details

Country

Lithuania

Year of first data collection

2022

Primary Institutions

Ministry of Health of the Republic of Lithuania (Lietuvos Respublikos sveikatos apsaugos ministerija)

State Data Agency (Valstybinė duomenų agentūra)

Links
No website available

Profile paper DOI

doi.org/10.1093/ije/dyaf118

Funders

No funding information available

Ongoing?
Yes

Data types collected

neuroImagingData
mentalHealthData
dataLinkage
Quantitative data collection
  • Secondary data
Qualitative data collection
  • None
Neuroimaging data collection
  • Computerized tomography (CT)
  • Electroencephalography (EEG)
  • Magnetic Resonance Imaging (MRI)
Linked or secondary data
  • Census data
  • Employer data
  • Healthcare data
  • Medical birth registry
  • Mortality data
  • Tax, income & benefit data
Features

Engagement

  • None
  • Keywords

    Electronic health records
    Epidemiology
    Health informatics
    Healthcare services
    Lifecourse
    Medical history
    Patient data
    Policy
    Population health
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