MétaCan
Menu
Back to cohort
Record W2122008385 · doi:10.1093/jpepsy/jsj065

Online Psychological Treatment for Pediatric Recurrent Pain: A Randomized Evaluation

2005· article· en· W2122008385 on OpenAlexafffund
Carrie L. Hicks, Carl L. von Baeyer, Patrick J. McGrath

Bibliographic record

VenueJournal of Pediatric Psychology · 2005
Typearticle
Languageen
FieldMedicine
TopicPediatric Pain Management Techniques
Canadian institutionsIzaak Walton Killam Health CentreDalhousie UniversityUniversity of SaskatchewanPrince Albert Grand Council
FundersUniversity of SaskatchewanCanadian Pain SocietyInternational Association for the Study of Pain
KeywordsQuality of life (healthcare)Physical therapyMedicineRandomized controlled trialTreatment and control groupsInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: To evaluate the efficacy of a distance treatment delivered through Internet and telephone for pediatric recurrent pain. METHODS: Forty-seven participants (9-16 years of age) were randomly assigned to either an Internet-based treatment or a standard medical care waitlist. Treatment employed a Web-based manual for children and parents with weekly therapist contact by telephone or e-mail. At 1- and 3-month follow-ups, participants were assessed on the outcome variables of pain and quality of life. A 50% reduction in diary pain scores was considered clinically significant. RESULTS: Significant between-group differences were found: 71 and 72% of the treatment group achieved clinically significant improvement at the 1- and 3-month follow-ups, respectively, whereas only 19 and 14% of the control group achieved the criterion. No significant differences were found on the quality of life variable. CONCLUSIONS: Distance methods have considerable potential for making effective treatments more accessible with lower associated costs.

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)0.002
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: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0120.001

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 head0.095
GPT teacher head0.445
Teacher spread0.350 · 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 designRandomized trial
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

Citations218
Published2005
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Pediatric PsychologySame topicPediatric Pain Management TechniquesFrench-language works237,207