Real-world experience of OnabotulinumtoxinA treatment in female patients with chronic migraine: a qualitative study using in-depth interviews
Bibliographic record
Abstract
BACKGROUND: Chronic migraine (CM) causes great disability and affects an individual's quality of life. OnabotulinumtoxinA (OBT-A, Botox®) was the first prophylactic treatment specifically indicated for CM. The aim of this study was to describe the experiences of women with CM treated with OBT-A. MATERIALS AND METHODS: The study design is a qualitative descriptive study. A purposeful sampling of 30 women (mean age, 42.7; standard deviation, 10.6) who had received at least two administrations of OBT-A for CM (PREEMPT protocol) was performed. Data collection included in-depth interviews and researchers' field notes. A thematic analysis was carried out according to qualitative research guidelines. RESULTS: Five themes were identified: (a) A long way to go before Botox®, (b) First time hearing about the treatment and its expectations, (c) The administration of Botox®, (d) Treatment effects, and (e) Follow-up. Patients described a long history of treatment failures prior to the start of OBT-A treatment. Information about this migraine treatment came from the neurologist; following the information, patients had high expectations, including unrealistic expectations regarding the onset and duration of effect. They acknowledged fear of the injections and some discomfort due to the procedure. With treatment, participants reported better migraine control and an improvement in their quality of life. Follow-up had some barriers, such as delayed appointments for subsequent doses, but also strengths, such as effectiveness and few side effects. CONCLUSIONS: Qualitative research offers insight into how patients with CM experience treatment with OBT-A. Our results highlight some relevant aspects that should be considered when providing OBT-A treatment.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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".