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Record W2059971540 · doi:10.1089/tmj.2011.0150

Exploring Therapeutic Alliance with an Internet-Based Self-Management Program with Brief Telephone Support for Youth with Arthritis: A Pilot Study

2012· article· en· W2059971540 on OpenAlexafffund
Meghan White, Jennifer Stinson, Patricia Lingley‐Pottie, Patrick J. McGrath, Navreet Gill, Abi Vijenthira

Bibliographic record

VenueTelemedicine Journal and e-Health · 2012
Typearticle
Languageen
FieldPsychology
TopicDigital Mental Health Interventions
Canadian institutionsIzaak Walton Killam Health CentreSickKids FoundationUniversity of TorontoDalhousie UniversityHospital for Sick ChildrenInstitute for Clinical Evaluative Sciences
FundersCanadian Arthritis NetworkInstitute of Musculoskeletal Health and ArthritisCanadian Institutes of Health ResearchArthritis SocietyCanadian Child Health Clinician Scientist Program
KeywordsAllianceMedicineTelephone interviewPhysical therapyScale (ratio)PsychologyClinical psychology

Abstract

fetched live from OpenAlex

Findings from a pilot study are presented exploring therapeutic alliance between adolescent juvenile idiopathic arthritis patients and a trained nonprofessional health coach during the feasibility testing of a 12-week self-management program delivered online with brief telephone support. Therapeutic alliance was measured using the Working Alliance Inventory Client Scale (WAI-C), and qualitative information about the experience was gathered using the Distance Experience Questionnaire. WAI-C scores were found to be comparable to previously published pediatric face-to-face data and pediatric distance treatment data. Therapeutic alliance scores were also found to be correlated with improved treatment outcomes (decreased reported pain).

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.844
Threshold uncertainty score0.837

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.163
GPT teacher head0.394
Teacher spread0.231 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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

Citations30
Published2012
Admission routes2
Has abstractyes

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