title: A validated logistic regression model to identify coronary heart disease patients within primary care databases in the United kingdom.
abstract: We established the optimal search strategy for identifying coronary heart disease (CHD) patients within the Electronic Patient Record (EPR) of 'paperless' family practices in the UK. Multiple logistic regression modelling (MLRM) and Receiver Operating Characteristic (ROC) curves were used to develop the query. The selected search strategy was validated at 2 additional paperless family practices.
authors.affiliation: Fisher Medical Centre Research unit, Skipton, UK.
authors.forename: K
authors.initials: K
authors.lastname: Thiru
authors.forename: P
authors.initials: P
authors.lastname: Donnan
authors.forename: F
authors.initials: F
authors.lastname: Sullivan
mesh_terms: D000328:Adult; D000367:Age Factors; D003327:Coronary Disease / Q000145:classification*; D019992:Databases as Topic; D005260:Female; D006801:Humans; D016247:Information Storage and Retrieval / Q000379:methods*; D016015:Logistic Models; D008297:Male; D016347:Medical Records Systems, Computerized; D011320:Primary Health Care; D012372:ROC Curve; D012042:Registries; D012737:Sex Factors; D006113:United Kingdom; D018875:Vocabulary, Controlled