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Record W2153901281 · doi:10.1093/jpepsy/jsn031

A Systematic Review of Randomized Controlled Trials Examining Psychological Interventions for Needle-related Procedural Pain and Distress in Children and Adolescents: An Abbreviated Cochrane Review

2008· review· en· W2153901281 on OpenAlexafffund
Lindsay S Uman, Christine T. Chambers, Patrick J. McGrath, Steve Kisely

Bibliographic record

VenueJournal of Pediatric Psychology · 2008
Typereview
Languageen
FieldMedicine
TopicPediatric Pain Management Techniques
Canadian institutionsDalhousie University
FundersDalhousie UniversityCanada Research ChairsNova Scotia Health Research FoundationInternational Association for the Study of Pain
KeywordsPsychological interventionRandomized controlled trialObservational studyDistractionDistressCognitive behavioral therapyClinical psychologySystematic reviewMedicineHypnosisCognitionMEDLINEPhysical therapyPsychologyPsychiatryAlternative medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: To report the results of a systematic review of randomized controlled trials (RCTs) of psychological interventions for children and adolescents undergoing needle-related procedures. METHODS: A variety of cognitive-behavioral psychological interventions for managing procedural pain and distress in children and adolescents between 2 and 19 years of age were examined. Outcome measures included pain and distress as assessed by self-report, observer report, behavioral/observational measures, and physiological correlates. RESULTS: Twenty-eight trials met the criteria for inclusion in the review and provided the data necessary for pooling the results. Together, the trials included 1,039 participants in treatment conditions and 951 in control conditions. The largest effect sizes for treatment improvement over control conditions were found for distraction, combined cognitive-behavioral interventions, and hypnosis, with promising but limited evidence for several other psychological interventions. CONCLUSIONS: Recommendations for conducting future RCTs are provided, and particular attention to the quality of trial design and reporting is highlighted.

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)0.014
metaresearch head score (Gemma)0.063
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.014
Threshold uncertainty score0.076

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.063
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0140.010
Bibliometrics0.0110.012
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0020.002
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.076
GPT teacher head0.448
Teacher spread0.373 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations270
Published2008
Admission routes2
Has abstractyes

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