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Record W2109936125 · doi:10.1300/j010v44n04_05

Mothers of Very Preterm Infants

2007· article· en· W2109936125 on OpenAlexaffabout
Michèle Preyde

Bibliographic record

VenueSocial Work in Health Care · 2007
Typearticle
Languageen
FieldMedicine
TopicInfant Development and Preterm Care
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsMedicinePediatricsPsychology

Abstract

fetched live from OpenAlex

This study was part of a larger study in which an individual, peer-support intervention for mothers of very preterm infants was evaluated. In the present study, ratings by mothers who received the culturally sensitive intervention were compared with ratings from a control group on their experience of the preterm birth, and the quality of their social support. Additionally, mothers who received the intervention also rated their comfort with social interactions in general, and with their support giver, as well as the qualities (e.g., supportive, friendly) of the support giver. The intervention was delivered in a metropolitan city in Canada with a considerably diverse population, for example, 41% spoke a mother tongue other than one of the two official languages (English and French) and 37% were a visible minority. Mothers with a preterm infant in the neonatal intensive care unit who agreed to participate were matched on language, culture, ethnicity, and characteristics of their infant to a volunteer, trained support giver with experience of preterm birth. Results indicated that the intervention helped mothers to feel more confident in their parenting, understand the medical condition of their infants, and experience greater quality of their listening support than control mothers. Intervention mothers also reported comfort interacting with people in general, and especially with the support giver. This study confirms and extends social support theory: Generic social support may be beneficial for caregivers of ill patients; however, specialized support appears to be particularly important for mothers of very preterm infants. Implications for clinical practice are discussed.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.205
Threshold uncertainty score0.406

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 science0.0000.000
Research integrity0.0000.000
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 head0.016
GPT teacher head0.322
Teacher spread0.306 · 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 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
Published2007
Admission routes2
Has abstractyes

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