Evidence map›Paper›PMID 37674765›Full record

ArticleCureus2023

Interpretation and Misinterpretation of Medical Abbreviations Found in Patient Medical Records: A Cross-Sectional Survey.

Dineth C Jayatilake, Samson O Oyibo

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. "No BLT": The Rise and Risk of Acronyms in the Medical Record.HEC forum : an interdisciplinary journal on hospitals' ethical and legal issues · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Dineth C JayatilakeGeneral Medicine, Peterborough City Hospital, Peterborough, GBR.
Samson O OyiboDiabetes and Endocrinology, Peterborough City Hospital, Peterborough, GBR.
Peterborough City Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction  Medical abbreviations are used in patient medical records across all departments within the hospital setting and upon discharge. Abbreviations can have more than one contradictory or ambiguous definition, which can result in errors in communication due to misunderstanding or misinterpretation. Modern patient care is multidisciplinary, so there should be no room for ambiguity in patient medical records. Therefore, the aim of this survey was to assess individual interpretations and misinterpretations of a list of medical abbreviations found in patient medical records, and thereby increase awareness of the growing use of non-standard abbreviations.  Materials and methods  In this cross-sectional survey, anonymized questionnaires containing a list of 20 abbreviations were given to a convenience sample of consultant physicians, doctors-in-training, and nurses, all of whom are involved in the day-to-day use of patient medical records. Volunteers were asked to define each abbreviation in full. A provided definition was either the intended definition (given a score of one) or completely different in terms of text and meaning (alternative definition). The intended definitions, alternative definitions, and number of abbreviations that were defined by at least 50% of volunteers were collated. Abbreviations that had more than 50% of volunteers providing the intended definition, were regarded as "generally accepted" abbreviations. Volunteers were assured that this was not a test of knowledge and that questionnaires were completely anonymized.  Results  In total, 46 volunteers completed questionnaires. Volunteers consisted of 15 nurses, 15 doctors-in-training, and 16 consultant physicians. The number of volunteers who provided the intended definition for each abbreviation ranged from zero to 87%, depending on the abbreviation. Only four out of 20 abbreviations (20%) had more than 50% of volunteers providing the intended definition and thus regarded as "generally accepted". The maximum score achieved among the volunteers was 12 out of 20 (60%), and the minimum score achieved was 2 out of 20 (10%). The overall mean score achieved by the volunteers was 6.39 out of 20 (32%). Only one-quarter of the volunteers achieved a score above 50%. Additionally, 75% of the abbreviations had one or more (one to seven) alternative definitions.  Conclusions  This survey demonstrated that non-standard medical abbreviations used in patient medical records were being misunderstood or misinterpreted. A majority of abbreviations were not recognized among user groups. Additionally, three-quarters of abbreviations had one or more alternative definitions. Healthcare institutions should encourage the reporting of errors arising from the usage of abbreviations, and introduce initiatives to discourage the use of non-standard abbreviations in patient medical records.

Indexed as

alternative definitionsambiguitycross-sectional surveyinterpretationmedical abbreviationsmedical errorsmultidisciplinary teampatient medical records

Identifiers

PMID37674765
PMCPMC10479966
OpenAlexW4386448382

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.