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Record W4409086207 · doi:10.1016/j.pedhc.2025.03.002

Defining Priorities for Canadian PICU Family Presence Policies Under Changing Contexts: A Qualitative Focus Group Study

2025· article· en· W4409086207 on OpenAlexfundaboutno aff
Karla D. Krewulak, Jennifer Foster, Laurie A. Lee, Molly Ryan, Dana Rhyno, Violetta Reznikov, Daniel Garros, Jamie A. Seabrook, Janet Curran, Corey Slumkoski, Martha Walls, Kirsten M. Fiest

Bibliographic record

VenueJournal of Pediatric Health Care · 2025
Typearticle
Languageen
FieldHealth Professions
TopicFamily and Patient Care in Intensive Care Units
Canadian institutionsnot available
FundersCanadian Institutes of Health ResearchIWK Health CentreGroupe canadien de recherche en soins intensifsInstitute for Work and Health
KeywordsFocus groupTransparency (behavior)SiblingPandemicQualitative researchBaseline (sea)NursingPolitical scienceMedicineFamily medicinePsychologyPublic relationsBusinessCoronavirus disease 2019 (COVID-19)SociologyDevelopmental psychologyDisease

Abstract

fetched live from OpenAlex

INTRODUCTION: Recognizing the importance of parental presence for seriously ill children's well-being, many pediatric intensive care units (PICUs) have adopted policies encouraging family presence. However, PICU family presence policies remain varied, with gaps in policy development and implementation across Canadian hospitals. We aimed to determine patient, family, clinician, and policymaker-identified priorities for family presence policies under baseline and emergency (e.g., pandemics, disease outbreaks) contexts. METHODS: Between January and August 2023, we conducted focus groups with PICU youth, families, clinicians, and policymakers. Using the Theoretical Domains Framework (TDF) and inductive analysis, we explored key themes. RESULTS: Seven focus groups included youth (n = 4), family members (n = 7), clinicians (n = 14), and policymakers (n = 4). Nearly all TDF domains were significant, leading to three primary categories: policy development (e.g., transparency, adaptability), implementation (e.g., communication, roles), and future lessons. DISCUSSION: Key priorities included bedside access for two people, sibling presence, and flexible, equitable policies developed with diverse community engagement.

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)0.002
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.240
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.086
GPT teacher head0.468
Teacher spread0.381 · 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 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

Citations1
Published2025
Admission routes2
Has abstractyes

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