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Record W6903294402 · doi:10.11575/prism/47843

Therapeutic Cuddling in Critically Ill Kids: THE ChICKs Studies

2024· other· en· W6903294402 on OpenAlexaboutno aff

Bibliographic record

VenueOpen MIND · 2024
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsCritically illIntervention (counseling)Pediatric intensive care unitCritical illnessSedationEpidemiologyIntensive care

Abstract

fetched live from OpenAlex

Pain, agitation, delirium, and analgosedation exposure, consequences of pediatric critical illness, are associated with negative sequelae including increased mortality, length of stay, anxiety, post-traumatic stress disorder, impaired neuro-cognitive development, and reduced health-related quality of life, among others. Therapeutic cuddling is a potential intervention to address pediatric intensive care unit (PICU) pain, agitation, delirium, and analgosedation exposure. It involves physical contact such as cuddling, snuggling, or hugging, between a caregiver and child. Despite evidence of benefit in critically ill neonates and hospitalized and healthy children, there is a paucity of literature in critically ill children. The aim of this dissertation was to understand the current state of PICU pain, agitation, and sedation, and inform the development and evaluation of therapeutic cuddling as a potential intervention to address these consequences of pediatric critical illness. To achieve this, theory and methodology from implementation science, knowledge translation, and epidemiology were employed. In the first manuscript, we conducted a systematic review of the prevalence of pain, agitation, and sedation in PICUs. We found variability in measurement, conceptualization, and reporting, with prevalence estimates of 45-82% for pain, 2-42% for agitation, and 9-62% for oversedation. The second manuscript is a secondary analysis of five point-prevalence studies on early acute rehabilitation (PARK-PICU studies) aimed at describing the prevalence of therapeutic cuddling and potential safety events in PICUs from North America, South America, Europe, and Australasia. Multilevel multivariable logistic regression identified patient-level variables associated with therapeutic cuddling. The prevalence of therapeutic cuddling was 37.4%, and the prevalence of potential safety events was 2.8%. The third manuscript is a mixed methods cross-sectional survey based on the Theoretical Domains Framework administered to healthcare professionals in Canadian PICUs aimed at understanding important barriers and facilitators to therapeutic cuddling. Identified barriers included beliefs about risk and safety, staffing, and lack of prioritization of therapeutic cuddling. The most important facilitator was family participation. The results of these three manuscripts address knowledge gaps related to the prevalence of pain, agitation, and sedation and the current state of therapeutic cuddling in critically ill children. Together these provide a foundation for the development and evaluation of therapeutic cuddling as a potential intervention to address PICU pain, agitation, and analgosedation exposure.

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)0.024
metaresearch head score (Gemma)0.108
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.024
Threshold uncertainty score0.128

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0240.108
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.006
Bibliometrics0.0060.008
Science and technology studies0.0010.001
Scholarly communication0.0040.003
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.106
GPT teacher head0.413
Teacher spread0.307 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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