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Record W2965340197 · doi:10.1111/jpc.14543

Clinical skills should be prized

2019· article· en· W2965340197 on OpenAlexaboutno aff
David Isaacs

Bibliographic record

VenueJournal of Paediatrics and Child Health · 2019
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsnot available
Fundersnot available
KeywordsMedicinePallorCapillary refillPhysical examinationVital signsBronchiolitisIntensive care medicineAsthmaAppropriate Use CriteriaPediatricsSurgeryPsychiatryBlood pressureInternal medicine

Abstract

fetched live from OpenAlex

Clinical experience has been defined, tongue-in-cheek, as ‘making the same mistakes with increasing confidence over an impressive number of years’.1 There is a wealth of difference, however, between unexamined clinical experience and clinical acumen. For example, when assessing a febrile child for serious infection, the history and the clinical signs and symptoms are the most reliable tools available.2 Despite my expressed scepticism about our over-reliance on numbers generated by laboratory tests,3 the value of the clinical assessment can be augmented by urinalysis and inflammatory markers,2 but this does not detract from the message that there is no substitute for good clinical skills (Fig. 1). More mistakes are made by not asking (poor history) and not looking (poor examination) than by not knowing. When faced with an acutely ill child, we have to make a quick assessment about the severity of illness and the need for immediate intervention. The great Canadian physician William Osler (1849–1919) said: ‘There is no more difficult art to acquire than the art of observation’. We know about the emergency ABC of airways, breathing and circulation, but there is also an ABC of observation that begins at first sight. We should immediately assess the child's level of alertness and activity and his or her breathing and their colour (pallor or cyanosis), as well as their circulation (cold peripheries, poor capillary return). Cyanosis is a sinister sign in asthma, bronchiolitis and infant pertussis, necessitating urgent assessment, oxygen, admission and emergency monitoring and treatment. The vital signs are not given that name for nothing: always feel the pulse and beware the child with marked tachycardia. Dyspnoea, tachypnoea and apnoea are all worrying signs. Hypovolaemic children maintain their blood pressure within the normal range by vasoconstriction until near circulatory collapse, so a normal blood pressure is not necessarily reassuring. Never be afraid to ask for help. If in any doubt, consult with a senior colleague (or if you are the senior colleague, consult with a colleague whose opinion you value). The junior doctor who does not ask for help is in danger of missing an ill child. The senior doctor who does not help or, worse, reprimands a junior doctor for asking for help is a fool. Having decided on a course of action, be open to the possibility that you are wrong. There is no place for arrogance and overconfidence in clinical medicine.4 All clinicians, no matter how experienced, occasionally make mistakes. They get diagnoses wrong and underestimate or overestimate the severity of an illness. The important thing is to have the humility to recognise one's fallibility and the open-mindedness to consider alternate diagnoses.4 A word of advice: because we need to rapidly assess a child who is acutely ill, we sometimes make the mistake of jumping to conclusions based on superficial information when it would be better to take time to gather more information. This is particularly true for children with a disability. When examining, in the FRACP clinical examination, I was asked to assess the gait of J, a teenager with prominent chorea. To my shame, it took me 5 min to realise J was intellectually normal. The first three of four candidates all made the same initial mistake but did not realise their error. In frustration, and perhaps out of guilt, I asked the third candidate: ‘What do you think of J's intellectual capacity?’ The candidate said: ‘He's clearly intellectually impaired’. ‘What is your evidence for that statement?’ Pause. ‘Oh. He did do everything I asked’. ‘Well, maybe you would like to ask him a question’. The candidate asked J how he was going at school. ‘Dux of the school’, said J. I did not fail the candidate, whose neurological examination had been reasonable, but I hope he learned the same lesson I had just learned – not to jump to superficial judgements. I am glad to say the final candidate of the day talked immediately to J as if he understood her every word. We passed her with flying colours (she did get the diagnosis right, too). American clinicians have bemoaned the loss of clinical skills due to over-reliance on tests.5 I witnessed this first hand when two young US junior doctors visited our department recently. Their academic knowledge was superb, but when I took them to see a child with pneumonia, they both missed lower lobe consolidation by auscultating the chest without lifting the child's vest. When I pointed this out, they said they were never taught to examine children's chests, just to interpret chest X-rays. Australian and British paediatricians are highly valued in the USA for their clinical skills. We can and should value our clinical skills and hone them through clinical practice. My thanks to Henry Kilham and Ken Nunn for helpful advice.

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)0.014
metaresearch head score (Gemma)0.091
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 score0.104
Threshold uncertainty score0.348

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.091
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.001
Science and technology studies0.0060.009
Scholarly communication0.0160.010
Open science0.0020.018
Research integrity0.0080.015
Insufficient payload (model declined to judge)0.1040.065

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 head0.029
GPT teacher head0.408
Teacher spread0.379 · 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".

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Citations2
Published2019
Admission routes1
Has abstractyes

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