Literature DB >> 26224188

General practitioner understanding of abbreviations used in hospital discharge letters.

Mark Chemali1, Emily J Hibbert2, Adrian Sheen3.   

Abstract

OBJECTIVES: To determine the incidence of abbreviation use in electronic hospital discharge letters (eDLs) and general practitioner understanding of abbreviations used in eDLsDesign, setting and participants: Retrospective audit of abbreviation use in 200 sequential eDLs was conducted at Nepean Hospital, Sydney, a tertiary referral centre, from 18 December to 31 December 2012. The 15 most commonly used abbreviations and five clinically important abbreviations were identified from the audit. A survey questionnaire using these abbreviations in context was then mailed to 240 GPs in the area covered by the Nepean Blue Mountains Local Health District to determine their understanding of these abbreviations. MAIN OUTCOME MEASURES: Number of abbreviations and frequency of their use in eDLs, and GPs' understanding of abbreviations used in the survey.
RESULTS: 321 abbreviations were identified in the eDL audit; 48.6% were used only once. Fifty five per cent of GPs (132) responded to the survey. No individual abbreviation was correctly interpreted by all GPs. Six abbreviations were misinterpreted by more than a quarter of GPs. These were SNT (soft non-tender), TTE (transthoracic echocardiogram), EST (exercise stress test), NKDA (no known drug allergies), CTPA (computed tomography pulmonary angiogram), ORIF (open reduction and internal fixation). These abbreviations were interpreted incorrectly by 47.0% (62), 33.3% (44), 33.3% (44) 32.6% (43), 31.1% (41) and 28.0% (37) of GPs, respectively.
CONCLUSION: Abbreviations used in hospital eDLs are not well understood by the GPs who receive them. This has potential to adversely affect patient care in the transition from hospital to community care.

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Year:  2015        PMID: 26224188     DOI: 10.5694/mja15.00224

Source DB:  PubMed          Journal:  Med J Aust        ISSN: 0025-729X            Impact factor:   7.738


  3 in total

1.  Structure, content, unsafe abbreviations, and completeness of discharge summaries: A retrospective analysis in a University Hospital in Austria.

Authors:  Christine Maria Schwarz; Magdalena Hoffmann; Christian Smolle; Michael Eiber; Bianca Stoiser; Gudrun Pregartner; Lars-Peter Kamolz; Gerald Sendlhofer
Journal:  J Eval Clin Pract       Date:  2021-01-09       Impact factor: 2.336

2.  Attitudes of physicians towards target groups and content of the discharge summary: a cross-sectional analysis in Styria, Austria.

Authors:  Magdalena Hoffmann; Christine Maria Schwarz; Gudrun Pregartner; Maximilian Weinrauch; Lydia Jantscher; Lars Kamolz; Gernot Brunner; Gerald Sendlhofer
Journal:  BMJ Open       Date:  2019-12-17       Impact factor: 2.692

3.  A deep database of medical abbreviations and acronyms for natural language processing.

Authors:  Lisa Grossman Liu; Raymond H Grossman; Elliot G Mitchell; Chunhua Weng; Karthik Natarajan; George Hripcsak; David K Vawdrey
Journal:  Sci Data       Date:  2021-06-02       Impact factor: 6.444

  3 in total

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