Assessing the suitability of general practice electronic health records for clinical prediction model development: a data quality assessment
Sharmala Thuraisingam, Patty Chondros, Michelle M Dowsey, Tim Spelman, Stephanie Garies, Peter F Choong, Jane Gunn, Jo-Anne Manski-Nankervis
BMC MEDICAL INFORMATICS AND DECISION MAKING | BMC | Published : 2021
BACKGROUND: The use of general practice electronic health records (EHRs) for research purposes is in its infancy in Australia. Given these data were collected for clinical purposes, questions remain around data quality and whether these data are suitable for use in prediction model development. In this study we assess the quality of data recorded in 201,462 patient EHRs from 483 Australian general practices to determine its usefulness in the development of a clinical prediction model for total knee replacement (TKR) surgery in patients with osteoarthritis (OA). METHODS: Variables to be used in model development were assessed for completeness and plausibility. Accuracy for the outcome and com..View full abstract
Related Projects (2)
The researchers gratefully acknowledge the RACGP Foundation and HCF Research Foundation for their support of this project and Centre for Research Excellence in Total Joint Replacement.