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Record W93233987 · doi:10.1093/pch/17.8.432

A qualitative study of predelivery counselling for extreme prematurity

2012· article· en· W93233987 on OpenAlexafffund
Elizabeth Young, Ellen Tsai, Anne O’Riordan

Bibliographic record

VenuePaediatrics & Child Health · 2012
Typearticle
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsQueen's UniversitySt. Michael's Hospital
FundersQueen's University
KeywordsMedicineNursingObstetricsPsychologyPediatrics

Abstract

fetched live from OpenAlex

OBJECTIVE: To ascertain from parents of neonates born before 27 weeks' gestational age how to improve predelivery counselling for delivery room resuscitation. METHODS: Qualitative ethnographic study using semistructured, face-to-face interviews of 10 families. Data were analyzed using a constant comparative method. RESULTS: Parents had no previous knowledge about prematurity. They would have preferred prioritized information during predelivery counselling focused on the immediate risks to their child. Resuscitation wishes were inconsistently sought. Opportunities for repeat discussions involving both parents were often missed. Parents agreed that the opportunity to explicitly state resuscitation wishes should be offered. Additional materials, such as pamphlets or videos, would improve counselling. CONCLUSIONS: Information about prematurity should be offered when the pregnancy is deemed high risk, with repeat counselling opportunities for both parents to discuss options. Once the decision is made to resuscitate, parents want the neonatal team to convey a message of hope and compassion.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.427
Threshold uncertainty score0.728

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
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 science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.144
GPT teacher head0.451
Teacher spread0.308 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations35
Published2012
Admission routes2
Has abstractyes

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