Literature DB >> 21459778

Use of abbreviations by healthcare professionals: what is the way forward?

S Sinha1, F McDermott, G Srinivas, P W J Houghton.   

Abstract

OBJECTIVE: To assess the understanding of commonly used abbreviations in the medical records among healthcare professionals.
METHODS: A selection of abbreviations from surgical inpatient admissions (gathered over a 10 day period in October 2008), in the form of a standard questionnaire, was shown to different members of a multidisciplinary team to examine interpretation and knowledge.
RESULTS: 209 questionnaires were analysed. The average correct response was 43%. Foundation Year 1 (F1) doctors scored the highest with 57% correct responses, whereas dieticians fared worst (20% correct). Among different abbreviations, NAD (91%) and SCBU (93%) were most often correctly answered, whereas CIC (3%) and STS (0.5%) were the most incorrectly answered. Certain abbreviations which are mostly used by nurses (eg, OTT) achieved a 75% correct response by them compared to only 11% by F1 and 10% by F2 doctors (p<0.001). Similarly, abbreviations such as COBH (p=0.025) and LUTS (p<0.001), although mostly correctly answered by junior doctors, were very poorly answered by nurses.
CONCLUSION: The majority of healthcare professionals have a very poor knowledge of commonly used abbreviations. Use of unambiguous and approved list of abbreviations is suggested in order to ensure good communication in patient care.

Entities:  

Mesh:

Year:  2011        PMID: 21459778     DOI: 10.1136/pgmj.2010.097394

Source DB:  PubMed          Journal:  Postgrad Med J        ISSN: 0032-5473            Impact factor:   2.401


  4 in total

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Authors:  E Chohda; S Doddi; S Sundaramoorthy; R N Manton; A Ahad; A Sinha; H Khawaja
Journal:  G Chir       Date:  2015 Nov-Dec

2.  Consenting operative orthopaedic trauma patients: challenges and solutions.

Authors:  Amin Kheiran; Purnajyoti Banerjee; Philip Stott
Journal:  ISRN Surg       Date:  2014-02-06

3.  Use of abbreviations in consent forms for orthopaedic surgery: A pilot study.

Authors:  M Noah H Khan; Hassan Shafiq; Muhammad Waqas Ilyas; Muhammad Hamzah Jamshed; Ammal Imran Qureshi; Basharat Ghafoor Khan; Neshat Anjum
Journal:  Ann Med Surg (Lond)       Date:  2021-10-15

4.  Disambiguating Clinical Abbreviations Using a One-Fits-All Classifier Based on Deep Learning Techniques.

Authors:  Areej Jaber; Paloma Martínez
Journal:  Methods Inf Med       Date:  2022-02-01       Impact factor: 1.800

  4 in total

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