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Record W4385466889 · doi:10.1177/23333936231186599

The Impact and Influence of Hospital Clowns on Hospitalized Children Undergoing Painful Procedures: A Mixed Methods Study

2023· article· en· W4385466889 on OpenAlexaff
Helle Nygaard Kristensen, Britt Laugesen, Jennifer Stinson, Helle Haslund‐Thomsen

Bibliographic record

VenueGlobal Qualitative Nursing Research · 2023
Typearticle
Languageen
FieldMedicine
TopicPediatric Pain Management Techniques
Canadian institutionsHospital for Sick ChildrenUniversity of Toronto
FundersAalborg UniversitetshospitalAalborg Universitet
KeywordsMedicineEmergency medicinePediatrics

Abstract

fetched live from OpenAlex

Hospital clowns are widely used in pediatric settings. However, the field of pain and pain experience in children is complex and multifaceted. Therefore, the aim of this study was to expand knowledge on the impact and influence of hospital clowns on 4 to 15-year-old children's experiences of managing painful procedures and conditions. A convergent mixed method study was conducted integrating findings from three individual studies: a prospective non-blinded study and two focused ethnographic studies. The findings illuminated a child-clown interaction characterized by a close relationship evolving during a continuous, mutually focused attention, conceptualized as WE. This WE represent a responsive interaction between child and clown, which supported the child during the procedures, and generated three integrated findings: an age-differentiated approach; understanding the child's condition; and previous experiences as a part of the child's history. The WE approach strengthened the child's competences and ability to manage during painful procedures.

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)0.015
metaresearch head score (Gemma)0.020
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.139
Threshold uncertainty score0.988

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.020
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.003
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.059
GPT teacher head0.553
Teacher spread0.494 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

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