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Full-Text Articles in Medicine and Health Sciences
The Use Of Primary Care Electronic Health Records For Research: Lipid Medications And Mortality In Elderly Patients, Adam J. Hodgkins, Judy Mullan, Darren J. Mayne, Andrew D. Bonney
The Use Of Primary Care Electronic Health Records For Research: Lipid Medications And Mortality In Elderly Patients, Adam J. Hodgkins, Judy Mullan, Darren J. Mayne, Andrew D. Bonney
Illawarra Health and Medical Research Institute
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. Survival analysis with Cox regression was used to calculate hazard ratios, which were adjusted for confounders. There was no significant difference in all-cause mortality among …
Cross-Sectional Study Of Area-Level Disadvantage And Glycaemic-Related Risk In Community Health Service Users In The Southern.Iml Research (Simlr) Cohort, Roger Cross, Andrew D. Bonney, Darren J. Mayne, Kathryn M. Weston
Cross-Sectional Study Of Area-Level Disadvantage And Glycaemic-Related Risk In Community Health Service Users In The Southern.Iml Research (Simlr) Cohort, Roger Cross, Andrew D. Bonney, Darren J. Mayne, Kathryn M. Weston
Faculty of Science, Medicine and Health - Papers: part A
Objectives. The aim of the present study was to determine the association between area-level socioeconomic disadvantage and glycaemic-related risk in health service users in the Illawarra-Shoalhaven region of New South Wales, Australia. Methods. HbA1c values recorded between 2010 and 2012 for non-pregnant individuals aged 18 years were extracted from the Southern.IML Research (SIMLR) database. Individuals were assigned quintiles of the Socioeconomic Indices for Australia (SEIFA) Index of Relative Socioeconomic Disadvantage (IRSD) according to their Statistical Area 1 of residence. Glycaemic risk categories were defined as HbA1c 5.0-5.99% (lowest risk), 6.0-7.49% (intermediate risk) and 7.5% (highest risk). Logistic regression models were …