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Record W2768043377 · doi:10.1590/0034-7167-2016-0072

Family interview guide: strategy to develop skills in novice nurses

2017· article· en· W2768043377 on OpenAlexaff
Larissa Guanaes dos Santos, Andréia Cascaes Cruz, Francine Fernandes Pires Mekitarian, Margareth Ângelo

Bibliographic record

VenueRevista Brasileira de Enfermagem · 2017
Typearticle
Languageen
FieldHealth Professions
TopicFamily and Patient Care in Intensive Care Units
Canadian institutionsChild, Adolescent and Family Mental Health
Fundersnot available
KeywordsGenogramNursingPsychologyExploratory researchPerceptionMedical educationMedicine

Abstract

fetched live from OpenAlex

OBJECTIVE: describe the skills of nurses to conduct family interviews based on the Family Care Guide for Nursing Clinical Practice. METHOD: exploratory case study that analyzed the content of 16 guides applied to a child emergency service by a novice nurse from the family nursing area. RESULTS: the records indicated the presence of perceptual, conceptual, and executive skills required to conduct family interviews, in particular skills for the development of genograms, therapeutic relationships, and actions to fulfill family needs. FINAL CONSIDERATIONS: the Family Care Guide for Nursing Clinical Practice is a useful tool to guide the training processes, promote the development of family interview skills in novice nurses, and allow the cognitive consolidation of essential elements of patient- and family-centered care.

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)0.001
metaresearch head score (Gemma)0.013
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.116
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.002

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 head0.167
GPT teacher head0.464
Teacher spread0.297 · 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.

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

Citations8
Published2017
Admission routes1
Has abstractyes

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