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Record W4414716399 · doi:10.1016/j.aucc.2025.101440

Identifying barriers and facilitators to therapeutic cuddling in the paediatric intensive care unit: A survey guided by the theoretical domains framework

2025· article· en· W4414716399 on OpenAlexafffund
Laurie A. Lee, Karla D. Krewulak, Elaine Gilfoyle, Karen Choong, Katie O’Hearn, Mark Todd, Jennifer Foster, Kathryn A. Birnie, Christopher J. Doig, Nicole Létourneau, Kirsten M. Fiest

Bibliographic record

VenueAustralian Critical Care · 2025
Typearticle
Languageen
FieldMedicine
TopicPediatric Pain Management Techniques
Canadian institutionsHospital for Sick ChildrenDalhousie UniversityUniversity of TorontoChildren's Hospital of Eastern OntarioUniversity of CalgaryMcMaster UniversityAlberta Health ServicesAlberta Children's Hospital
FundersGroupe canadien de recherche en soins intensifs
KeywordsFacilitatorCritically illIntensive carePaediatric intensive care unitKey (lock)

Abstract

fetched live from OpenAlex

OBJECTIVE: The objective of this study was to describe barriers and facilitators to paediatric intensive care unit (PICU) therapeutic cuddling (TC) perceived by healthcare professionals (HCPs). BACKGROUND: TC is a potential intervention to prevent/manage pain, agitation, delirium, and analgosedation exposure in PICUs. However, it is not widely practiced. Given the complexity of TC in critically ill children, PICU HCPs' perspectives of barriers and facilitators are essential to inform implementation and evaluation. METHODS: A cross-sectional survey, guided by the Theoretical Domains Framework, was administered to PICU HCPs between December 2023 and July 2024. Items were asked based on age groups of patients (<1, 1-2, 3-4, 5-8, 9-12, and >12 years) and severity of illness. Nominal data were summarised using frequencies (percentage) based on the number of responses received per item. Subgroup analyses were conducted for professions with five or more respondents for items related to professional role and TC. Free-text responses were analysed utilising inductive and deductive content analysis. RESULTS: Respondents (n = 228) were predominantly women (88.6%), nurses (60.1%), physicians (17.1%), or respiratory therapists (11.8%). Most respondents (67.9%-86.4% depending on patient age group) agreed it was possible to provide TC to all PICU patients. However, respondents reported rarely (4.3%-52.6%) or never (0.5%-35.6%) observing/participating in TC, depending on child age group, with a larger proportion reporting rarely or never as age group increased. Potential determinants affecting the implementation of TC in PICUs were identified for all 14 domains of the Theoretical Domains Framework. Concerns about patient safety, staffing, and lack of supportive unit culture were identified as key barriers. Family engagement and partnership and beliefs about positive consequences were key facilitators. CONCLUSIONS: Most PICU HCPs believe that TC can be implemented for all critically ill children. Important barriers include concerns about safety, staffing, and lack of a cuddling-supportive culture. Leveraging patient and family engagement is a key facilitator to support implementation of this intervention.

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)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.504
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.050
GPT teacher head0.397
Teacher spread0.347 · 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

Citations0
Published2025
Admission routes2
Has abstractyes

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