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Record W2171532961 · doi:10.1503/cmaj.1031817

Patients who leave the pediatric emergency department without being seen: a case-control study

2005· article· en· W2171532961 on OpenAlexafffundvenueabout
Ran D. Goldman

Bibliographic record

VenueCanadian Medical Association Journal · 2005
Typearticle
Languageen
FieldMedicine
TopicEmergency and Acute Care Studies
Canadian institutionsSickKids FoundationHospital for Sick Children
FundersHospital for Sick ChildrenUniversity of TorontoInstitute for Clinical Evaluative Sciences
KeywordsMedicineEmergency departmentTriagePediatricsMedical diagnosisMedical recordFamily medicineEmergency medicinePsychiatrySurgery

Abstract

fetched live from OpenAlex

BACKGROUND: Children who visit pediatric emergency departments (EDs) and leave before being seen by a physician may present with particular health problems and may be at risk for preventable health outcomes. We compared children who left without being seen with those who stayed and were seen by a pediatrician, and followed all of the study subjects after they left the ED. METHODS: We asked all parents of children who visited the ED between July 1 and Oct. 31, 2002, to participate. Parents were interviewed by a trained ED research assistant. We abstracted data from the ED medical records. We used the Canadian Emergency Department Triage and Acuity Scale (CTAS) to measure the acuity of the illness or injury. Each child who left without being seen was matched with 2 children who had been seen by selecting the next patients on an alphabetical list by day, sex and age (within 1 year). We did follow-up interviews with parents within 96 hours of the visit to determine the reason for leaving and any treatment and diagnoses received subsequent to the ED visit. RESULTS: Of the 11 087 children seen in the ED during the study period, 289 (3%) left without being seen. Of the 289, the families of 158 (56%) consented to participate in the study and met the study criteria. The case and control groups thus consisted of 158 and 316 children respectively. Of the children who left without being seen, 24 (15%) were triaged as "urgent," and none had a CTAS score of less than 3. A total of 99 children (63%) who left were taken by their families elsewhere for further medical care, compared with 89 (28%) of those who stayed. Waiting too long and resolution of symptoms accounted for 92 (58%) and 59 (37%) of the premature departures respectively. One child who left without being seen was subsequently admitted to hospital. Multivariate analysis showed that, after adjustment for time of arrival and time to reach the ED, children who left without being seen had lower acuity than those who stayed (odds ratio [OR] 4.0, 95% confidence interval [CI] 2.2-7.2) and were more likely to register in the ED between midnight and 4 am (OR 5.9, 95% CI 2.8- 12.5). Children in the premature departure group were also more likely to be taken elsewhere for follow-up care (unadjusted OR 4.3, 95% CI 2.9-6.4). INTERPRETATION: Children who left the ED without being seen had lower acuity levels and were more likely to be taken elsewhere for follow-up care than children who stayed. Most of those who left did so because the wait was too long or their symptoms resolved.

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

Direct model labels (unvalidated)

Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.

Model armCategoriesStudy designConfidence
gemmano category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationallow
gptno category
Domain: not available · Genre: Empirical
About the Canadian research system: no · About a Canadian topic: no
Observationalhigh
models agreeAgreement compares identical category sets and study designs across arms.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.006
GPT teacher head0.254
Teacher spread0.248 · 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

Labeled directly by 2 models reading the full record.

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

Citations73
Published2005
Admission routes4
Has abstractyes

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