<b>A Canadian online survey to evaluate awareness and treatment satisfaction in individuals with moderate to severe plaque psoriasis</b>
Bibliographic record
Abstract
BACKGROUND: Psoriasis is a chronic inflammatory disease associated with comorbidities and decreased quality of life. This survey is aimed to better understand the impact of disease on Canadian patients, and to examine awareness and use of available treatment options. METHODS: An online survey was conducted using a consumer panel. Eligible subjects reported diagnoses of psoriasis and moderate/severe/very severe plaque psoriasis within the past 5 years, and either: psoriasis covering ≥ 3% of body surface area; psoriasis on a sensitive area, or current use of systemic and/or phototherapy or light therapy for psoriasis. RESULTS: A total of 514 panelists completed the survey; 65% reported current moderate/severe/very severe psoriasis. Awareness of available treatment options ranged from 98% for prescription topical agents to 75% for photo/light therapy, and < 50% for prescription oral (49%) or injectable (35%) medications. A total of 92% of respondents had been treated with and 61% were currently taking prescription topical agents. Photo/light therapy had been used by 38% and was currently used by 7% of respondents. Prescribed oral medication had been taken by 25% and was currently used by 8%. Few subjects had been treated with injectables in the past (10%) or currently (5%). Overall, 24% of respondents were very satisfied with their current treatment. A total of 63% of respondents taking injectables were very satisfied, compared with 38% of those taking prescribed oral medication and 21% of those receiving photo/light therapy.Conclusions Most respondents with moderate to severe psoriasis were unaware of all treatment options; systemic treatments were not commonly utilized. Treatment satisfaction rates were low, highlighting the need to ensure greater patient education on and use of available therapeutic options.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".