Effectiveness of an online self-management tool, OPERAS (an On-demand Program to EmpoweR Active Self-management), for people with rheumatoid arthritis: a research protocol
Bibliographic record
Abstract
BACKGROUND: Active self-management is a process where patients are fully engaged in managing their health in daily life by having access to contextualized health data and tailored guidance to support a healthy lifestyle. This study aims to determine whether an e-health intervention that incorporates symptom/disease activity monitoring and physical activity counselling can improve self-management ability in patients with rheumatoid arthritis (RA). METHODS: The 'Empowering active self-management of arthritis: Raising the bar with OPERAS (an On-demand Program to EmpoweR Active Self-management)' project is a randomized controlled trial that uses a delayed control design. One hundred thirty-four participants with RA will be randomly assigned to start the intervention either immediately (immediate group) or 6 months later (delayed group). The intervention involves (1) use of a Fitbit-compatible web app to record and monitor their RA disease activity, symptoms, and time spent on physical activity and a Fitbit; (2) group education and individual counselling by a physiotherapist (PT); and (3) six phone calls with a PT. The primary outcome measure is self-management ability measured by the Patient Activation Measure. Secondary outcome measures include disease status, fatigue, pain, depressive symptoms, and characteristics of habitual behavior and also time spent in physical activity and sedentary activity with a wearable multi-sensor device (SenseWear Mini). After the 6-month intervention, we will interview a sample of participants to examine their experiences with the intervention. DISCUSSION: The results of this study will help to determine whether this technology-enhanced self-management intervention improves self-management ability and health outcomes for people living with RA. A limitation of this study is that participants will need to self-report their symptoms, disease status, and treatment use through questionnaires on the OPERAS web app. The user-friendly interface, reminder emails from the research staff, and tailored guidance from PTs will encourage participants to actively engage with the app. TRIAL REGISTRATION: Date of last update in ClinicalTrials.gov: January 2, 2019. ClinicalTrials.gov Identifier: NCT03404245.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".