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Using general practice data for chronic disease prevalence: the impact of record linkage on estimation accuracy

Richard J Varhol1, Crystal Man Ying Lee2,3, Sean Randall3

  • 1School of Population Health, Curtin University, Perth, WA, Australia. rvarhol@curtin.edu.au.

BMC Medical Informatics and Decision Making
|November 4, 2025
PubMed
Summary

Linking patient records across general practices improves chronic disease prevalence estimates. Restricting analyses to active patients overestimates disease burden, impacting healthcare planning and resource allocation.

Keywords:
Condition completenessConsistency of reportingData fragmentationData linkageElectronic health recordsGeneral practicePrimary care

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