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Record W6964562966 · doi:10.25384/sage.c.4071758.v1

Communication in pediatric critical care

2014· other· en· W6964562966 on OpenAlexaboutno aff

Bibliographic record

VenueSage Journals Data · 2014
Typeother
Languageen
FieldEnvironmental Science
TopicEcology and biodiversity studies
Canadian institutionsnot available
Fundersnot available
KeywordsThematic analysisQualitative researchPediatric intensive care unitIdentity (music)Intensive careHealth professionalsData collection

Abstract

fetched live from OpenAlex

The aim of this investigation was to conduct a comprehensive examination of communication between parents and health care professionals (HCPs) in the pediatric intensive care unit (PICU). A secondary analysis was performed on data from 3 previous qualitative studies, which included 30 physicians, 37 nurses, and 38 parents in France and Quebec (Canada). All three studies examined a mix of cases where children either survived or died. All data referring to communication between parents (and patients when applicable) and HCPs were examined to identity themes that related to communication. Thematic categories for parents and HCPs were developed. Three interrelated dimensions of communication were identified: (1) <i>informational communication</i>, (2) <i>relational communication</i>, and (3) <i>communication and parental coping</i>. Specific themes were identified for each of these 3 dimensions in relation to <i>parental concerns</i> as well as <i>HCP concerns</i>. This investigation builds on prior research by advancing a comprehensive analysis of PICU communication that includes (a) cases where life-sustaining treatments were withdrawn or withheld as well as cases where they were maintained, (b) data from HCPs as well as parents, and (c) investigations conducted in 4 different sites. An evidence-informed conceptual framework is proposed for PICU communication between parents and HCPs. We also outline priorities for the development of practice, education, and research.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.629
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0290.002

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 head0.044
GPT teacher head0.307
Teacher spread0.262 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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
Published2014
Admission routes1
Has abstractyes

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