An Internet-based Self-management Program with Telephone Support for Adolescents with Arthritis: A Pilot Randomized Controlled Trial
Bibliographic record
Abstract
OBJECTIVE: To determine the feasibility of a 12-week Internet-based self-management program of disease-specific information, self-management strategies, and social support with telephone support for youth with juvenile idiopathic arthritis (JIA) and their parents, aimed at reducing physical and emotional symptoms and improving health-related quality of life (HRQOL). METHODS: A nonblind pilot randomized controlled trial (NCT01011179) was conducted to test the feasibility of the "Teens Taking Charge: Managing Arthritis Online" Internet intervention across 4 tertiary-level centers in Canada. Participants were 46 adolescents with JIA, ages 12 to 18 years, and 1 parent for each participant, who were randomized to the control arm (n = 24) or the Internet intervention (n = 22). RESULTS: The 2 groups were comparable on demographic and disease-related variables and treatment expectation at baseline. Attrition rates were 18.1% and 20.8%, respectively, from experimental and control groups. Ninety-one percent of participants randomized to the experimental group completed all 12 online modules and weekly phone calls with a coach in an average of 14.7 weeks (SD 2.1). The control group completed 90% of weekly attention-control phone calls. The Internet treatment was rated as acceptable by all youth and their parents. In posttreatment the experimental group had significantly higher knowledge (p < 0.001, effect size 1.32) and lower average weekly pain intensity (p = 0.03, effect size 0.78). There were no significant group differences in HRQOL, self-efficacy, adherence, and stress posttreatment. CONCLUSION: Findings support the feasibility (acceptability, compliance, and user satisfaction) and initial efficacy of Internet delivery of a self-management program for improving disease-specific knowledge and reducing pain in youth with JIA.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".