Adherence in Youth With Multiple Sclerosis: A Qualitative Assessment of Habit Formation, Barriers, and Facilitators
Bibliographic record
Abstract
Rates of medication nonadherence in youth with multiple sclerosis (MS) range from 10% to 60%. Qualitative studies of adherence can provide insight into children's own perspectives about barriers and facilitators to their adherence and inform future interventions. This qualitative longitudinal descriptive study included children with MS ( n = 28) participating in a randomized controlled trial focused on medication adherence ( clinicaltrials.gov : NCT02234713). Following established methods, three independent reviewers coded transcripts of motivational interviewing (MI) sessions (three interviews per subject, performed monthly over a 3-month period) for relevant themes. They were subsequently categorized using inductive content analysis. Youth described medication adherence as being dependent on the ability to build and maintain healthy habits related to medication use, including embodiment of these habits. Barriers and facilitators included remembering/forgetting, experiences with fatigue, and experiences with medication. These themes were maintained through the second and third interviews. Future research focus on barriers and facilitators to habit maintenance in this population.
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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 | 0.019 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.006 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".