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British syringe label ‘standards’ are an accident waiting to happen

2000· letter· en· W2037025268 on OpenAlexaboutno aff
Craig S. Webster, Alan Merry

Bibliographic record

VenueAnaesthesia · 2000
Typeletter
Languageen
FieldHealth Professions
TopicPatient Safety and Medication Errors
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHarmSyringeCoding (social sciences)Task (project management)Accident (philosophy)CognitionClass (philosophy)Risk analysis (engineering)Computer scienceArtificial intelligencePsychiatrySocial psychologyPsychologyEpistemology

Abstract

fetched live from OpenAlex

We agree with Dr Radhakrishna that a consistent colour standard is required for user-applied syringe labels (Anaesthesia 1999; 54: 963–8). Colour is a powerful psychological cue [1–3], which can facilitate the identification of drugs. Some have argued that the use of colour reduces the likelihood that the label will be read. It should be emphasised that colour used correctly is a supplement to, rather than a substitute for, this important task. If colour coding is applied by class of drug, the label must still be read in order to identify the specific drug within the class. The use of more than one type of cognitive cue (colour and text) provides multiple opportunities to trap potential errors before they occur. Such an approach is consistent with the safety principles of complex-systems theory developed in the nuclear and aviation industries – an approach which anaesthesia is increasingly adopting in an effort to avoid anaesthetic error and iatrogenic harm [4–7]. However, if colour is to be used, a consistent colour standard for drugs is very important. The situation described by Radhakrishna in Britain, with contradictory label systems used in different hospitals and even within the same hospital, is clearly an accident waiting to happen. Faults like these in organisations are called latent errors and we know from an extensive literature in other fields that their existence guarantees that it will only be a matter of time until errors are made because of them [2–8]. In fact, it is very likely that such errors have already happened. As Radhakrishna states, consistent colour-code standards already exist in Australia, New Zealand and the USA [9, 10], and all of these use the same set of colours for drug classes. An identical colour standard also exists in Canada [11]. However, it seems that the colours used in Britain differ from the colour standards used in these countries. This creates a further problem for overseas anaesthetists coming to work in Britain and for British anaesthetists working overseas. Radhakrishna suggests that it may take sometime before a consistent colour standard can be adopted in Britain and that in the interim British anaesthetists should stop using colour as a cue in syringe identification. This seems counter-productive, however, as the use of colour is currently widespread in Britain and can be a valuable aid to safety. The simplest solution would be for Britain to adopt the colour standard used in the above mentioned countries. The transition involved in the adoption of any internationally consistent standard may carry logistical difficulties and some risk. With respect to user-applied syringe labels, however, the safety benefits would be considerable while the risk is likely to be no more than continuing with the status quo. We suggest that the best approach would be for anaesthetists to move to a consistent British standard as soon as possible.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.053
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.020
Threshold uncertainty score0.060

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.053
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0050.007
Scholarly communication0.0050.007
Open science0.0020.002
Research integrity0.0180.023
Insufficient payload (model declined to judge)0.0180.011

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.075
GPT teacher head0.398
Teacher spread0.323 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations20
Published2000
Admission routes1
Has abstractyes

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