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Record W2582887500 · doi:10.1177/0193945917690124

Factors Affecting Korean Neonatal Infant Pain Care: Translation and Validation of Three Instruments

2017· article· en· W2582887500 on OpenAlexaff
Haeyoung Min, Catherine Vincent, Alicia K. Matthews, Linda L. McCreary, Chang Gyu Park, Margot Latimer

Bibliographic record

VenueWestern Journal of Nursing Research · 2017
Typearticle
Languageen
FieldMedicine
TopicPediatric Pain Management Techniques
Canadian institutionsDalhousie University
Fundersnot available
KeywordsMedicineNeonatal nursingPediatricsNeonatal intensive care unit

Abstract

fetched live from OpenAlex

This study aimed to translate three English-language instruments-Pain Knowledge and Use (PKU), Collaboration and Satisfaction About Care Decisions (CSACD), and Environmental Complexity Scale (ECS)-into Korean and evaluate the equivalence of the instrument versions. Three Korean translators and two senior reviewers translated the instruments' 56 items using a committee approach. Eight Korean experts evaluated the cultural relevance of the translated instruments using a content validity index (CVI), and 12 Korean neonatal nurses were interviewed to assess their understanding of items. In an expert panel review, the item-CVI was less than 0.78 for 14 items. Based on cognitive interviews, four items were found to be unsuitable in Korea. Based on expert panel review and cognitive interviews, unsuitable items were modified or deleted. In another expert panel review, the scale-CVI was 1.00 for the final instruments. The findings support the validity of the Korean-language PKU, CSACD, and ECS for research application.

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)0.004
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.341
Threshold uncertainty score0.289

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
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 head0.150
GPT teacher head0.427
Teacher spread0.276 · 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

Citations5
Published2017
Admission routes1
Has abstractyes

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