Aims: This study serves as an exemplar to demonstrate the scalability of a research approach using survival analysis applied to general practice electronic health record data from multiple sites. Collection of these data, the subsequent analysis, and the preparation of practice-specific reports were performed using a bespoke distributed data collection and analysis software tool.
Background: Statins are a very commonly prescribed medication, yet there is a paucity of evidence for their benefits in older patients.
Background And Objectives: General practice electronic health records (EHRs) are a rich source of primary care data that can be used for important research. The aim of this qualitative study was to analyse the attitudes of Australian general practitioners (GPs) to the use of data extracted from primary care EHRs for clinical research.
Method: Semi-structured interviews were conducted with 13 Australian GPs.
General practice electronic health record (EHR) data have significant potential for clinical research. This study demonstrates the feasibility of utilising longitudinal EHR data analysis to address clinically relevant outcomes and uses the relationship between lipid medication prescription and all-cause mortality in the elderly as an exemplar for the validity of this methodology. EHR data were analysed to describe the association of lipid medication use, non-use or cessation with all-cause mortality in patients aged ≥75 years.
View Article and Find Full Text PDFPurpose: An emerging body of research involves observational studies in which survival analysis is applied to data obtained from primary care electronic health records (EHRs). This systematic review of these studies examined the utility of using this approach.
Method: An electronic literature search of the Scopus, PubMed, Web of Science, CINAHL, and Cochrane databases was conducted.