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Record W1525481820 · doi:10.1093/pch/11.4.209

Routine vital signs not so routine: Next question? When does it matter?

2006· article· en· W1525481820 on OpenAlexaff
David McGillivray

Bibliographic record

VenuePaediatrics & Child Health · 2006
Typearticle
Languageen
FieldMedicine
TopicEmergency and Acute Care Studies
Canadian institutionsMontreal Children's Hospital
Fundersnot available
KeywordsVital signsMedicineIntensive care medicineSurgery

Abstract

fetched live from OpenAlex

Vital signs at triage are under close scrutiny these days. It makes for interesting reading because vital signs measurement has always been believed to be an essential component of paediatric patient triage in the emergency department. Throughout our training, we are continually told that vital signs are the bread and butter of patient assessment. Despite the perceived importance of vital signs, Gravel et al, in this issue of Paediatrics & Child Health (pages 211–215), show us clearly that “routine vital signs” are not necessarily routine in a large paediatric tertiary care centre. Similar findings have been reported in other studies, as acknowledged by the authors, and I suspect their results are generalizable to many more paediatric and general emergency departments across North America. New information shown by Gravel et al is that whether vital signs are taken at triage may not be based on issues related to the patient. They have shown that the presence or absence of vital signs data varies significantly based on the time of presentation to the emergency department: vital signs data are less likely to be documented for patients arriving during evening shifts. The absence of vital signs data did not appear to correlate with increased emergency waiting times to triage. It is hard to know whether nurses changed their standard triage routine on the basis of a visual knowledge of the number of patients waiting to be triaged and then abbreviated their routine, or whether there were other factors, such as increased nurse experience on the evening shifts. What the paper does not tell us is whether there were consequences to not documenting vital signs data for these children. Cooper et al (1) discussed the effect of vital signs data on triage decisions in a population of 14,285 patients, including 1050 children younger than two years. In that study, vital signs measurements taken on the same patient after the patient had been triaged without vital signs measurements changed the triage assignment in 11.4% of patients. Triage assignment was more likely to be changed to a more severe category than to a less severe category. The ultimate dispositions (eg, admission to hospital) showed a stronger correlation with the revised triage category than with the initial triage category. Salk et al (2) examined the influence of vital signs data on triage assignment. They found that vital signs data changed triage assignment in 5.7% of patients, again showing a tendency to change to a more severe category. Their result, however, was not significant. A special concern with paediatric vital signs, obtained at triage, is their accuracy. Many vital signs are now measured electronically with the exception of respiratory rate. Most of the electronic equipment, such as the automated blood pressure and heart rate monitor, work very well in critically ill adult or paediatric patients who lay very still due to their illness. They do not work well in the uncooperative but conscious paediatric patient at triage. Measuring an accurate respiratory rate is often very difficult, as is shown in a study by Lovett et al (3), in which neither clinical assessment nor an electronic monitor gave an accurate respiratory rate at triage. Poor accuracy of vital signs measurements has the potential to lead to misclassification of the patient's triage category and to unnecessary investigations. This may be worse than if no vital signs had been measured. There are many things in medicine that we do as a part of a routine. Sometimes, when things become routine, we may miss the significance or importance of the measurement. As with most things, it is always valuable to re-evaluate dogma and make sure that what we do makes a positive difference for the well-being of the patients. Vital signs at triage are a good place to start. When assessing the value of vital signs measurements at triage, we need to use the same rigour that we use to evaluate other diagnostic tests. Tests must be practical, reproducible, responsive to change, valid, discriminatory and have good interobserver agreement. We need to look at the sensitivity, specificity and likelihood ratios of tests to determine whether they will be useful in helping the triage nurse sort out which patients are likely to have a significant medical or surgical problem. In times of decreasing resources, both financial and human, we cannot afford to do unnecessary procedures or tests. We need to consider the harm done by false-negative and false-positive results. At this time, it remains unclear whether all patients arriving at triage need a complete set of measurements of the five paediatric vital signs (heart rate, respiratory rate, temperature, blood pressure and oxygen saturation). The difficult scientific challenge is to determine who needs what vital signs measured and who does not based on the potential clinical impact on the patient. We will always need a dose of common sense and experience to help us make these decisions as we sit in front of the patient.

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)0.016
metaresearch head score (Gemma)0.171
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 score0.016
Threshold uncertainty score0.084

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.171
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0020.006
Scholarly communication0.0060.010
Open science0.0020.002
Research integrity0.0120.013
Insufficient payload (model declined to judge)0.0160.008

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 head0.011
GPT teacher head0.283
Teacher spread0.271 · 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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Citations6
Published2006
Admission routes1
Has abstractyes

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