Measuring the Impact of <scp>MyLupusGuide</scp> in Canada: Results of a Randomized Controlled Study
Bibliographic record
Abstract
OBJECTIVE: This study was undertaken to assess the effects of a web-based program, MyLupusGuide, developed to facilitate self-management in systemic lupus erythematosus (SLE). METHODS: In this randomized controlled online study, participants received either immediate access to the MyLupusGuide site or delayed access starting on month 3. The primary outcome was the patient activation measure (PAM) score. Secondary outcomes included measurements of health status, self-efficacy, coping, perceived patient-physician relationship, and medication adherence. Outcomes were measured at the baseline visit and at the 3-month and 6-month follow-up visits. We used linear mixed modeling to compare PAM scores between the 2 groups at months 3 and 6. RESULTS: There were 541 participants included in this study. The mean ± SE age was 50 ± 14 years; 93% were female and 74% were White. The mean ± SE disease duration was 17 ± 12 years, and 56% visited MyLupusGuide at least once. The baseline mean ± SE PAM score was 61.2 ± 13, with 36% scoring low for perceived self-management skills. After 3 months of exposure to MyLupusGuide, there were no differences in terms of PAM scores between groups. In exploratory analyses, we found significant improvement in PAM scores in those who had low PAM scores at baseline and in male individuals. We observed significant improvements in self-efficacy before and after access to MyLupusGuide and delayed improvements at month 6 compared to month 3 in terms of mental health and emotional coping. CONCLUSION: MyLupusGuide increases self-efficacy but not patient activation. A total of 56% of participants visited the MyLupusGuide site during the study period. Individuals with lupus need support to become activated toward self-management behaviors.
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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 | 0.005 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".