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Record W2153912814 · doi:10.1093/jpepsy/25.2.117

Brief Clinical Report: Procedural Pain and Anxiety Management With Mother and Sibling as Co-therapists

2000· article· en· W2153912814 on OpenAlexaff
Maru Barrera

Bibliographic record

VenueJournal of Pediatric Psychology · 2000
Typearticle
Languageen
FieldMedicine
TopicPediatric Pain Management Techniques
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsSiblingAnxietyPsychological interventionIntervention (counseling)Context (archaeology)DistressPsychologyClinical psychologyCognitionMedicineDevelopmental psychologyPsychiatry

Abstract

fetched live from OpenAlex

OBJECTIVE: To describe a multidimensional family-focused intervention for pain and anxiety management during port-access with a Spanish-speaking preschool child being treated for acute lymphoblastic leukemia, using the patient's mother and one sibling as co-therapists. METHODS: Assessment procedures included interviews with mother, sibling, and primary nurse and behavioral observations during port-access, and during a medical examination. Intervention consisted of two training and two "in-vivo" sessions, using behavioral and cognitive behavioral techniques. RESULTS: Physical resistance was eliminated and anxiety responses reduced during port-access sessions. Maternal anxiety and sibling distress were also reduced. CONCLUSIONS: This case study illustrates an empirically supported child and family focused in the clinical care context and highlights cultural factors that may influence the success of such interventions.

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)0.000
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.020
GPT teacher head0.374
Teacher spread0.353 · 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 designCase report
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

Citations45
Published2000
Admission routes1
Has abstractyes

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