Patient Preferences and Therapeutic Satisfaction with Topical Agents for Rosacea: A Survey-Based Study.
Bibliographic record
Abstract
BACKGROUND: Rosacea is a chronic inflammatory skin disorder that primarily affects the convexities of the central face. Depending on the severity and type of rosacea, physicians may prescribe interventions such as behavioral changes, laser and intense pulsed light, as well as various pharmacologic therapies, including topical agents. The impact of side effects associated with topical treatments for rosacea on patient preferences and treatment satisfaction is not well-documented. OBJECTIVE: To assess patients' concerns, treatment satisfaction, and quality of life (QOL) associated with topical treatments for rosacea. METHODS: Patients were identified for participation in a one-time survey from electronic medical records between 2010 and 2015 from the largest privately held and physician-run multispecialty group practice in Massachusetts. Patients were eligible to participate in the survey if they were aged ≥18 years and had ≥1 diagnoses of rosacea, ≥1 prescriptions for topical metronidazole gel/cream or azelaic acid gel, ≥6 months of follow-up, and an active treatment record in 2014. Treatment-related concerns and their importance were assessed using a questionnaire developed for this study. Treatment satisfaction and QOL were evaluated using the Treatment Satisfaction with Medicines Questionnaire (SATMED-Q) and the Dermatology Life Quality Index (DLQI), respectively. RESULTS: Of the 900 eligible patients surveyed, 216 (24%) responded. Among the responders, 122 reported currently using a topical rosacea treatment. The most common treatment-related concerns were efficacy (64.8%), skin dryness (18.4%), unspecified side effects (9.6%), burning sensation (8.8%), and application technique (8.0%). The treatment-related concerns that were assessed as most important by responders included efficacy (mean score 9.1, on a 10-point scale), soreness (7.6), itching (7.5), burning (7.4), and dryness (7.3). Averaged across all the responders, treatment satisfaction was rated as neutral (mean SATMED-Q score, 56.5), whereas the impact of rosacea on QOL was minimal (mean DLQI score, 2.7). Increasing dryness was significantly associated with worsening QOL, and trends toward significance were observed for increasing soreness, itching, and burning sensations. CONCLUSIONS: The survey results suggest a need for novel topical therapies for patients with rosacea that have increased efficacy and tolerability, which may improve patient satisfaction and QOL.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".