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Record W1987910861 · doi:10.2147/oaem.s43621

Characteristics of patients and families who make early return visits to the pediatric emergency department

2013· article· en· W1987910861 on OpenAlexaffabout
Samina Ali, Logue, Spiers, Richard Newton, Lander

Bibliographic record

VenueOpen Access Emergency Medicine · 2013
Typearticle
Languageen
FieldMedicine
TopicEmergency and Acute Care Studies
Canadian institutionsAlberta Health ServicesWomen and Children’s Health Research InstituteUniversity of Alberta
Fundersnot available
KeywordsEmergency departmentMedicineMedical emergencyEmergency medicineFamily medicinePsychiatry

Abstract

fetched live from OpenAlex

OBJECTIVES: The primary objective of this study was to identify reasons why parents make early return visits, within 72 hours of discharge from a tertiary care pediatric emergency department (PED). A secondary objective was to investigate associated demographic and diagnostic variables. METHODS: A survey was conducted with a convenience sample of parents of children returning to the PED within 72 hours of discharge. A chart review was also completed for consented survey participants. Recruitment occurred from September 2005 to August 2006 at the Stollery Children's Hospital, Edmonton, Alberta, Canada. RESULTS: A total of 264 parents were approached to participate. Overall, 231 surveys were returned and 212 (92%) charts were reviewed. The overall rate of early return during the study period was 5.4%. More than half of parents stated that they returned because their child's condition worsened and many parents (66.7%) reported feeling stressed. Patients were typically under 6 years of age (67.4%), and most frequently diagnosed with infectious diseases (38.0%). Patients triaged with the Canadian Emergency Department Triage and Acuity Scale (CTAS) as CTAS 2 (emergent) for initial visits were more likely to be admitted on return, regardless of age (P < 0.001). CONCLUSION: Variables associated with early returns included young age, diagnosis, triage acuity, and parental stress. Future variable definition should include a deeper exploration of modifiable factors such as parental stress and patient education. These next steps may help direct interventions and resources to address needs in this group and possibly pre-empt the need to return.

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 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 score0.186
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
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 head0.036
GPT teacher head0.355
Teacher spread0.320 · 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

Citations17
Published2013
Admission routes2
Has abstractyes

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