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Record W2158241324 · doi:10.1177/107484002237515

A Multisite Study of Health Professionals’ Perceptions and Practices of Family-Centered Care

2002· article· en· W2158241324 on OpenAlexaff
Beth S. Bruce, Nicole Létourneau, Judith A. Ritchie, Sylvie Larocque, Christine Dennis, M. Ruth Elliott

Bibliographic record

VenueJournal of Family Nursing · 2002
Typearticle
Languageen
FieldHealth Professions
TopicFamily and Patient Care in Intensive Care Units
Canadian institutionsLaurentian UniversityMcGill University Health CentreUniversity of AlbertaIzaak Walton Killam Health Centre
Fundersnot available
KeywordsPerceptionDilemmaHealth professionalsNursingFamily centered careHealth carePsychologyFamily healthMedicinePolitical science

Abstract

fetched live from OpenAlex

Family-centered care (FCC) has been promoted as the optimal philosophy for children and families in their interactions with health professionals. Furthermore, FCC is a health care delivery model that seeks to fully involve families in the care of children through an approach that is respectful and supportive. This multisite survey was undertaken to determine the differences in health professionals’ perceptions and practices of FCC and to examine factors that influence those perceptions and practices. Findings revealed that although advances have been made in recognizing the key elements of FCC, difficulties remain in implementing these elements. The “dilemma of helping,” the potential lack of interprofessional collaboration, the design of the health care delivery system, as well as the potential lack of continuing education and mentoring programs are proposed as explanations for these findings.

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)0.006
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.012
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.018
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.276
GPT teacher head0.499
Teacher spread0.222 · 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 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

Citations120
Published2002
Admission routes1
Has abstractyes

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