Usefulness of Cellular Text Messaging for Improving Adherence Among Adolescents and Young Adults with Systemic Lupus Erythematosus
Bibliographic record
Abstract
OBJECTIVE: In a cohort of 70 patients with childhood-onset systemic lupus erythematosus (cSLE): to determine the baseline adherence to medications and visits; to investigate the effects of cellular text messaging reminders (CTMR) on adherence to clinic visits; and to study the influence of CTMR on adherence to use of hydroxychloroquine (HCQ). METHODS: CTMR were sent to 70 patients prior to clinic visits for 14 months. A subgroup of patients were evaluated for medication adherence to HCQ: 19 patients receiving CTMR prior to each scheduled HCQ dose were compared to 22 patients randomized to standard of care education about HCQ. Visit adherence was measured using administrative databases. Pharmacy refill information, self-report of adherence, and HCQ blood levels were utilized to monitor medication adherence to HCQ. Sufficient adherence to visits or HCQ was defined as estimates > 80%. Disease activity was primarily monitored with the Systemic Lupus Erythematosus Disease Activity Index. RESULTS: At baseline, 32% of patients were sufficiently adherent to HCQ, and 81% to clinic visits. Visit adherence improved significantly by > 80% among those who were nonadherent to clinic visits at the baseline CTMR (p = 0.01). CTMR did not influence adherence to HCQ over time. CONCLUSION: Patients with cSLE were only modestly adherent to HCQ and clinic visits. CTMR may be effective for improving visit adherence among adolescents and young adults with cSLE, but it does not improve adherence to HCQ.
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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".