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Record W4386989246 · doi:10.1093/pch/pxad055.013

13 “Don’t Want to Be in the Room? Never. Can’t Be in the Room? Yes”: A Mixed Methods Analysis of Barriers and Facilitators to Parental Presence at the Bedside in a Paediatric Intensive Care Unit

2023· article· en· W4386989246 on OpenAlexaboutno aff
Emily Poole, Molly Ryan, Janet Curran, Jennifer Foster

Bibliographic record

VenuePaediatrics & Child Health · 2023
Typearticle
Languageen
FieldHealth Professions
TopicFamily and Patient Care in Intensive Care Units
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)MedicineDemographicsFamily medicinePsychologyNursing

Abstract

fetched live from OpenAlex

Abstract Background Though a paediatric intensive care unit (PICU) admission is overwhelming for families, bedside parental presence improves child comfort, reduces parental anxiety, and enables family engagement. Previous research has focused on parental presence during events (rounds, resuscitation, and procedures), but little is known about factors influencing parental presence at their child’s bedside for routine PICU care. Objectives To identify factors that parents perceive as impacting their capability, opportunity, and motivation to be at the bedside in PICU, and explore parental perceptions about the quality and value of time spent at the bedside. Design/Methods This mixed methods study used semi-structured interviews based on the Theoretical Domains Framework (TDF). Participants were parents of children admitted to a Canadian PICU. Participants completed a demographics form and the Medical Term Recognition Test (METER) to assess health literacy. Interviews were coded independently by two researchers using a directed content approach based on the TDF. Once consensus was reached, themes and subthemes were identified inductively within each domain to generate barriers and enablers. Factors were examined for trends based on dichotomized demographics. Results Fourteen primary caregivers participated in 11 interviews. Participants were 8 mothers and 6 fathers, of children with both planned (n=4) and unplanned (n=7) admissions. METER scores ranged from 4 to 40, with a mean of 31. Seventy-six barriers and enablers were identified within 13 domains. Factors were most commonly in the ‘environmental context and resources’ domain (n=13) and included “comfortable and functional physical environment”, “medicalization of the child”, and “PICU technology”. Parents emphasized the importance of self-care which, although requiring parents to leave the bedside, allowed them to be fully engaged when they were present. A ubiquitous factor was “maintenance of the parent role”. Parents felt responsible to be present, but recognized alterations in the parental role while in PICU. Parents who were <25 years old, fathers, or those who had first and unplanned PICU admissions identified relatively fewer skills and capabilities supporting their presence. Multiple factors, particularly in the domains of social influence and environmental context, are potentially modifiable to better support parental presence and engagement at the bedside. Conclusion Parents perceive multiple factors influencing their capability, opportunity, and drive to be present with their critically ill child in PICU, some of which are amenable to direct intervention by healthcare professionals and hospital policy. Healthcare professionals may maximize parental engagement by attempting to optimize quality, rather than quantity, of time at the bedside.

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)0.036
metaresearch head score (Gemma)0.035
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.036
Threshold uncertainty score0.190

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0360.035
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0040.004
Science and technology studies0.0030.002
Scholarly communication0.0030.002
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.066
GPT teacher head0.405
Teacher spread0.339 · 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 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

Citations0
Published2023
Admission routes1
Has abstractyes

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