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dc.contributor.authorLid, Torgeir Giljeen_US
dc.contributor.authorEide, Geir Egilen_US
dc.contributor.authorDalen, Ingvilden_US
dc.contributor.authorMeland, Eivinden_US
dc.PublishedScandinavian Journal of Primary Health Care 2016, 34(3):215-223eng
dc.description.abstractObjective: To explore whether information regarding potentially alcohol-related health incidents recorded in electronic patient records might aid in earlier identification of alcohol use disorders. Design: We extracted potentially alcohol-related information in electronic patient records and tested if alcohol-related diagnoses, prescriptions of codeine, tramadol, ethylmorphine, and benzodiazepines; elevated levels of gamma-glutamyl-transferase (GGT), and mean cell volume (MCV); and new sick leave certificates predicted specific alcohol use disorder. Setting: Nine general practitioner surgeries with varying size and stability. Subjects: Totally 20,764 patients with active electronic patient record until data gathering and with a history of at least four years without a specific alcohol use disorder after turning 18 years of age. Methods: The Cox proportional hazard analysis with time-dependent covariates of potential accumulated risks over the previous four years. Main outcome measures: Time from inclusion until the first specific alcohol use disorder, defined by either an alcohol specific diagnostic code or a text fragment documenting an alcohol problem. Results: In the unadjusted and adjusted Cox-regression with time-dependent covariates all variables were highly significant with adjusted hazard ratios ranging from 1.25 to 3.50. Addictive drugs, sick leaves, GGT, MCV and International Classification for Primary Care version 2 (ICPC-2), and International Classification of Diseases version 10 (ICD-10) diagnoses were analyzed. Elevated GGT and MCV, ICD-10-diagnoses, and gender demonstrated the highest hazard ratios. Conclusions: Many frequent health problems are potential predictors of an increased risk or vulnerability for alcohol use disorders. However, due to the modest hazard ratios, we were unable to establish a clinically useful tool.en_US
dc.publisherTaylor & Franciseng
dc.rightsAttribution CC BY-NCeng
dc.subjectAlcohol-related disorderseng
dc.subjectcomputerized patient recordseng
dc.subjectearly diagnosiseng
dc.subjectGeneral practiceeng
dc.titleCan routine information from electronic patient records predict a future diagnosis of alcohol use disorder?en_US
dc.typePeer reviewed
dc.typeJournal article
dc.rights.holderCopyright 2016 The Author(s)

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