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Record W7097375393

MATERNAL SKIN-TO-SKIN CONTACT FACILITATORS AND BARRIERS Registered Nurses ’ Perceptions about Facilitators and Barriers to Maternal Skin to Skin

2015· article· en· W7097375393 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldHealth Professions
TopicNeonatal skin health care
Canadian institutionsnot available
Fundersnot available
KeywordsTheory of planned behaviorNormativePerceptionHealth careMultivariate analysisQualitative researchPerceived controlObstetric nursing
DOInot available

Abstract

fetched live from OpenAlex

It is recommended that all new mothers experience skin-to-skin contact (SSC) with their newborns immediately after birth. However, SSC is not commonly practiced after cesarean deliveries. To understand facilitators and barriers regarding SSC in the operating room (OR), a descriptive online and paper survey was conducted with 68 Registered Nurses from four hospitals in Ontario. The theory of planned behavior framed the study. Nurses had positive attitudes, and believed most health care team members supported SSC in the OR, but were uncertain about their control over the behavior. Nurses who had practiced the behavior in the past had more positive attitudinal and normative beliefs, and perceived some barriers as less difficult. Attitude and past behavior were the only significant multivariate predictors of intention to practice SSC in the future. Results suggest that shifting attitude and supporting more experience with the practice may increase nurses ’ implementation of SSC in the OR.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.067
Threshold uncertainty score0.133

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
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 head0.039
GPT teacher head0.384
Teacher spread0.345 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2015
Admission routes1
Has abstractyes

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