Lending an Ear: iPeer2Peer plus Teens Taking Charge online self-management to empower adolescents with arthritis in Ireland: protocol for a pilot randomised controlled trial
Bibliographic record
Abstract
INTRODUCTION: Juvenile idiopathic arthritis (JIA) negatively affects adolescents' everyday activities. To address the need for innovative, effective, convenient, low-cost psychosocial self-management programmes, we developed an Irish version of Canadian Teens Taking Charge (TTC) and integrated it with Skype-based peer support iPeer2Peer (iP2P). OBJECTIVES: To explore the feasibility and preliminary outcome impact (effectiveness) of an integrated iP2P and Irish TTC, via three-arm (treatment as usual, TTC and iP2P-TTC) pilot randomised controlled trial (RCT); and determine feasibility and sample size for a full RCT. To ensure active involvement of adolescents with JIA via a Young Person Advisory Panel and examine how participants experienced the study. Finally, to see if TTC and iP2P with TTC reduce costs for families. METHODS AND ANALYSIS: Recruitment of 60 families will be ongoing until July 2019, via healthcare professionals and support groups. Analysis will consist of single-blinded (outcome assessment), three-arm pilot RCT, using online questionnaires, with assessments at baseline (T1), after intervention (T2) and 3 months post-intervention (T3). The primary outcomes on feasibility with comparisons of TTC and iP2P-TTC on fidelity, acceptability and satisfaction, engagement and degrees of tailoring. The secondary outcomes will be self-management and self-efficacy and a range of health-related quality-of-life factors, pain indicators and costs.Participants from the intervention groups will be invited to share their perspectives on the process in semistructured interviews. Quantitative data will be analysed using SPSS V.21 and the audio-taped and transcribed qualitative data will be analysed using qualitative content analysis. DISSEMINATION: Via journal articles, conference presentations, co-delivered by key stakeholders when possible, launch of accessible, effective and sustainable Internet self-management and peer support for Irish adolescents with JIA. TRIAL REGISTRATION NUMBER: ISRCTN13535901; Pre-results.
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 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 | 0.036 | 0.031 |
| Meta-epidemiology (narrow) | 0.005 | 0.003 |
| Meta-epidemiology (broad) | 0.009 | 0.006 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.006 | 0.008 |
| Insufficient payload (model declined to judge) | 0.079 | 0.011 |
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".