Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/116248
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dc.contributor.authorMorgan S, Henderson K, Tapley A, Scott J, Thomson A, Spike N,,-
dc.contributor.authorMcArthur, L.-
dc.date.issued2014-
dc.identifier.citationEducation for Primary Care, 2014; 25(3):140-148-
dc.identifier.issn1473-9879-
dc.identifier.issn1475-990X-
dc.identifier.urihttp://hdl.handle.net/2440/116248-
dc.description.abstractBackground: Previous studies have found that general practitioner (GP) trainees (registrars) see a different spectrum of clinical problems compared to trainers, including less chronic disease and more acute minor illness. Our aim was to describe the case mix of first-term Australian GP trainees. Methods: This was a cross-sectional analysis of trainee consultations. Descriptive analyses were used to report patient demographics and the number and type of problems managed. Results: Two-hundred-and-three trainees provided data on 36 182 consultations and 55 740 pr oblems. Overall, 60.7% of patients seen were female and 56.2% were new to the trainee. Trainees managed a mean of 154.1 problems per 100 encounters. Problems managed most commonly were respiratory (23.9 per 100 encounters), general/unspecified (21.8) and skin (16.4). New problems comprised 51.5% of the total, and 22.4% of problems were chronic diseases.-
dc.description.statementofresponsibilitySimon Morgan, Kim Henderson, Amanda Tapley, John Scott, Allison Thomson, Neil Spike, Lawrie McArthur, Mieke van Driel and Parker Magin-
dc.language.isoen-
dc.publisherRadcliffe Medical Press-
dc.rights© 2014 Radcliffe Publishing Limited-
dc.source.urihttp://dx.doi.org/10.1080/14739879.2014.11494264-
dc.subjectGeneral practice training; medical education; patient case-mix-
dc.titleProblems managed by Australian general practice trainees: results from the ReCEnT (Registrar Clinical Encounters in Training) study-
dc.typeJournal article-
dc.identifier.doi10.1080/14739879.2014.11494264-
pubs.publication-statusPublished-
dc.identifier.orcidMcArthur, L. [0000-0001-8493-991X]-
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