Journal article

Validation of de-identified record linkage to ascertain hospital admissions in a cohort study

Alison Beauchamp, Andrew M Tonkin, Helen Kelsall, Vijaya Sundararajan, Dallas R English, Lalitha Sundaresan, Rory Wolfe, Gavin Turrell, Graham G Giles, Anna Peeters

BMC MEDICAL RESEARCH METHODOLOGY | BMC | Published : 2011

Abstract

BACKGROUND: Cohort studies can provide valuable evidence of cause and effect relationships but are subject to loss of participants over time, limiting the validity of findings. Computerised record linkage offers a passive and ongoing method of obtaining health outcomes from existing routinely collected data sources. However, the quality of record linkage is reliant upon the availability and accuracy of common identifying variables. We sought to develop and validate a method for linking a cohort study to a state-wide hospital admissions dataset with limited availability of unique identifying variables. METHODS: A sample of 2000 participants from a cohort study (n = 41 514) was linked to a sta..

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Grants

Awarded by National Health and Medical Research Council (NHMRC)


Funding Acknowledgements

This work was supported by the National Health and Medical Research Council (NHMRC) (ID No. 209057, 334032, 396414). Further infrastructure support was provided by The Cancer Council Victoria and Monash University. AB is a PhD scholar funded by the NHMRC (ID No. 465352) GT is a Senior Research Fellow funded by the NHMRC (ID No. 390109). AP is funded by a VicHealth Fellowship. HK was funded by a NHMRC Postdoctoral Fellowship (ID 384354). Cohort recruitment was funded by VicHealth and The Cancer Council Victoria.