Data linkage: a powerful research tool with potential problems.

ABSTRACT:

Background

Policy makers, clinicians and researchers are demonstrating increasing interest in using data linked from multiple sources to support measurement of clinical performance and patient health outcomes. However, the utility of data linkage may be compromised by sub-optimal or incomplete linkage, leading to systematic bias. In this study, we synthesize the evidence identifying participant or population characteristics that can influence the validity and completeness of data linkage and may be associated with systematic bias in reported outcomes.

Methods

A narrative review, using structured search methods was undertaken. Key words "data linkage" and Mesh term "medical record linkage" were applied to Medline, EMBASE and CINAHL databases between 1991 and 2007. Abstract in

SUBMITTER: Bohensky MA 

PROVIDER: S-EPMC3271236 | biostudies-literature | 2010 Dec

REPOSITORIES: biostudies-literature