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Record W2804466149 · doi:10.1093/pch/pxy054.013

PREPAREDNESS OF CANADIAN PHYSICIAN OFFICES FOR PAEDIATRIC EMERGENCIES

2018· article· en· W2804466149 on OpenAlexaffabout
Anushka Weeraratne, Dayae Jeong, Suhrata Verma, Marina Atalla, Mohammed Hassan-Ali, April Kam

Bibliographic record

VenuePaediatrics & Child Health · 2018
Typearticle
Languageen
FieldMedicine
TopicEmergency and Acute Care Studies
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicinePreparednessFamily medicineMedical emergencyEmergency departmentCross-sectional studyIncidence (geometry)Emergency medicineNursing

Abstract

fetched live from OpenAlex

Abstract BACKGROUND Studies in the US have demonstrated that many primary care staff and offices are inadequately prepared for paediatric emergencies. Although the Canadian Paediatric Society (CPS) recently reaffirmed their “Guidelines for Paediatric Emergency Equipment and Supplies for a Physician’s Office”, no evaluation has been made regarding the impact of publishing these recommendations, or on the state of preparedness for paediatric emergencies in family physician offices. OBJECTIVES The aim of this study was to evaluate awareness of and adherence of family physicians in Ontario to the CPS guidelines on preparedness for paediatric emergencies. DESIGN/METHODS We conducted a province-wide, cross-sectional survey of 749 randomly selected family physicians. Participants were asked to complete a 14-question survey regarding clinic characteristics, incidence of paediatric emergencies, and preparedness of the clinic in the case of a paediatric emergency. Ethics approval was obtained from the regional Ethics Review Board. RESULTS 94 physicians responded to our survey (response rate of 13.1%). 68.1% of respondents reported seeing more than 10 children per week, and 59.6% and had experienced at least one paediatric emergency in the past year. The proportion of physicians reporting paediatric emergencies within the last year increased with the number of children seen - 37.9% of physicians who saw fewer than 10 children per week reported an emergency, compared to 100.0% of those who saw more than 40 children per week. Only 4.3% respondents reported that they were unaware of the CPS guidelines on paediatric emergency preparedness. Although 85.1% of respondents were aware of the guidelines, only 10.6% of respondents had read them. Of the physicians who were aware of but had not read the guidelines, 2.5% engaged in mock code sessions, 27.8% were up-to-date on Paediatric Advanced Life Support (PALS), 1.3% had written protocols outlining safe transport of children to hospitals, and 41.8% stocked half or more of the recommended supplies. In comparison, of the physicians who had read the guidelines, 20.0% engaged in mock code sessions, 50.0% were up-to-date on PALS, 10.0% had written protocols, and 70.0% stocked half or more of the recommended supplies. CONCLUSION A large proportion of respondents had experienced at least one paediatric emergency in the past year, but were overall underprepared. There was a discrepancy between physicians who were aware of the CPS guidelines on emergency preparedness (85.1%), and those who have actually read them (10.6%), though offices with the latter were more adherent to the guidelines’ recommendations. It will be important for CPS to consider how to further advocate for paediatric emergency preparedness in clinics that see children regularly.

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)0.002
metaresearch head score (Gemma)0.011
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 score0.086
Threshold uncertainty score0.173

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.023
GPT teacher head0.301
Teacher spread0.278 · 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
Published2018
Admission routes2
Has abstractyes

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