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Record W4403682548 · doi:10.1093/pch/pxae067.032

33 Use of CHU Ste. Justine online resources prior to visiting the Emergency Department for less-urgent, acute febrile illness

2024· article· en· W4403682548 on OpenAlexaboutno aff
Zoe Lazaris-Brunner, Évelyne Doyon-Trottier, Ariane Boutin, Marie-France Langlet, Linda Mostefa Kara, Corinne Thériault, Nathalie Gaucher

Bibliographic record

VenuePaediatrics & Child Health · 2024
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare Systems and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsEmergency departmentMedicineMedical emergencyEmergency medicineNursing

Abstract

fetched live from OpenAlex

Abstract Background Over the past 20 years, visits to paediatric emergency departments (EDs) across Canada have steadily increased, with a higher proportion of presentations for lower acuity symptoms. Many paediatric institutions’ websites now provide information and recommendations for caregivers on common illnesses and reasons for seeing healthcare providers or going to the ED. Increasing the use of internet resources may improve health literacy and hopefully decrease ED use for lower acuity presentations like uncomplicated viral illness. Objectives The objective of this study was to assess whether caregivers presenting with children with lower acuity at triage were aware of and using the online resources provided by our paediatric institution to help with at-home management of febrile illnesses and to guide their decision to present to the ED. Design/Methods This was a cross-sectional study in a tertiary care university-affiliated paediatric ED in an urban setting. Participants were a convenience sample of caregivers of children 6 months to 17 years old with a fever 72 hours or less and triaged low acuity (Canadian Triage and Acuity Scale levels 3 to 5). Caregivers of children with underlying significant systemic illness were excluded. Consenting participants completed two questionnaires. The first questionnaire included demographic data, information on baseline internet utilisation, use of general online health information and our institutions’ website specifically, and whether use of those resources influenced their decision to present to the ED. After browsing dedicated web materials developed by our institution (“Before going to the emergency room” and “Fever”), questionnaire 2 asked for feedback on the website. Results From April to July 2023, 100 caregivers participated in the study (response rates questionnaires 1 and 2: 80% and 70%, respectively) (Table 1). Half (49%) of caregivers researched their child’s symptoms prior to coming to the ED (Table 2). Approximately one third (39%) of respondents were aware that our institution provided online information for caregivers about common symptoms and when to present to the ED. Half (51%) of caregivers who completed questionnaire 2 said they would not have come to the ED if they had read these resources prior (Table 3). Many (66%) respondents reported they would be “likely/very likely” to look up their child’s symptoms on the institutional website before going to the ED in the future. Conclusion Half of caregivers presenting to the ED for their child’s lower-acuity febrile illness conducted research on their child’s symptoms prior to visiting the ED and most were influenced in their decision to come to ED by what they found. Most caregivers were not aware that our institution had online resources available. Promotion of the institutional resources available to parents may empower parents to manage common symptoms at home and prevent ED visits for lower-acuity illness.

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)0.000
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0210.001

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 head0.114
GPT teacher head0.456
Teacher spread0.341 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations0
Published2024
Admission routes1
Has abstractyes

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