Scleroderma Patient-centered Intervention Network—Scleroderma Support group Leader EDucation (SPIN-SSLED) program: non-randomised feasibility trial
Bibliographic record
Abstract
OBJECTIVES: The Scleroderma Patient-centered Intervention Network-Scleroderma Support group Leader EDucation (SPIN-SSLED) Programme was designed to improve confidence and self-efficacy and to reduce burden for support group leaders. Objectives were to (1) evaluate feasibility of programme delivery, including required resources, management issues and scientific aspects (eg, performance of outcome measures) and (2) assess user satisfaction and identify any modifications needed to improve programme content or delivery based on participant feedback. DESIGN: Non-randomised feasibility trial. SETTING: North American patient organisations. PARTICIPANTS: Current support group leaders or potential new leaders referred by patient organisations. INTERVENTION: The programme included 13 modules delivered live via videoconference over 3 months (April to July 2018) in 60 to 90 min sessions. OUTCOME MEASURES: (1) Elements of feasibility, including enrolment and consent procedures, percentage of referred group leaders who consented to participate, session attendance and technical support requirements; (2) programme usability, understandability, organisation and clarity; (3) leader satisfaction with the programme and (4) planned trial outcome measures, including support group leader self-efficacy, burnout, emotional distress and physical function. RESULTS: All 12 referred potential participants consented to enrol, and 10 were included in two training groups of five participants each. Participants attended 95% of sessions. Required technical support was minimal, and videoconferencing technology functioned well. Overall programme satisfaction rating was 9.4/10. Mean item rating on the eight items of the Client Satisfaction Questionnaire-8 was 3.83 (1=low satisfaction; 4=high satisfaction). Pre-post scores on the Scleroderma Support Group Leader Self-efficacy Scale increased by 1.7 SDs (large effect); scores on burnout, emotional distress and physical function improved by 0.44, 0.38 and 0.45 SDs (moderate effects). CONCLUSION: The SPIN-SSLED Programme was feasibly delivered, including management, resource and scientific aspects. Participant satisfaction was high. The programme is ready to be tested in a full-scale randomised controlled trial. TRIAL REGISTRATION NUMBER: NCT03508661.
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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 | 0.007 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.018 | 0.002 |
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".