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Record W2331291798 · doi:10.1097/pec.0000000000000392

Factors Influencing the Decision to Attend a Pediatric Emergency Department for Nonemergent Complaints

2015· article· en· W2331291798 on OpenAlexaffabout
V. Smith, Majd Mustafa, Eric Grafstein, Quynh Doan

Bibliographic record

VenuePediatric Emergency Care · 2015
Typearticle
Languageen
FieldMedicine
TopicEmergency and Acute Care Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineTriageReferralEmergency departmentConfidence intervalHealth careFamily medicinePediatric emergency medicineCross-sectional studyEmergency medicineMedical emergencyPediatricsNursingEmergency physician

Abstract

fetched live from OpenAlex

OBJECTIVE: The objective of this study was to explore the factors associated with parents' decisions to bring their children to the pediatric emergency department (PED) for nonemergent concerns. METHODS: We conducted a cross-sectional survey at a tertiary-care, pediatric referral center emergency department. We surveyed caregivers of children triaged to low-acuity levels using the Pediatric Canadian Triage and Acuity Scale. We used descriptive statistics to report the proportion of patients who have a primary care physician, who attempted to contact any health care providers prior to coming to the PED, and other factors surrounding the decision to come to the PED. RESULTS: We approached 340 families, of which 300 were enrolled (uptake rate, 88.2%). We found that 32% (95% confidence interval, 0.26-0.37) attempted to contact another health care provider prior to coming to the PED, and 59% (95% confidence interval, 0.48-0.69) of those respondents were specifically instructed to come to the PED. The top 3 reasons for coming to the British Columbia Children's Hospital PED were (1) that it specializes in children, (2) child has medical issues previously managed at the same hospital, and (3) closest location to patient. CONCLUSIONS: Despite the majority of patients having a primary care physician, less than half of them actually contacted these providers (or another health care provider) before presenting to the PED for their nonurgent illness or injury. Of these, nearly two thirds were specifically instructed to come to the PED by the health care provider in the community.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.152
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.056
GPT teacher head0.338
Teacher spread0.282 · 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 teacher head, not a consensus.

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

Citations37
Published2015
Admission routes2
Has abstractyes

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