A Psychosocial Support Website From the British Association of Dermatologists for People Living With a Skin Condition: Mixed Methods Evaluation
Bibliographic record
Abstract
Background There is a lack of psychological support for individuals with skin conditions, and few low-intensity self-help interventions are available. Objective This study aimed to test the acceptability and usability of a support website and its embedded self-help resources. Methods A mixed methods approach was utilized. A total of 583 participants (426 with a skin condition, 97 relatives and friends, and 60 dermatology professionals) viewed the British Association of Dermatologist’s SkinSupport website and then completed a survey about their well-being and the usability of the website. A comparison group comprising 816 participants also completed the well-being measures. In total, 37 participants (19 living with a skin condition, and the relatives and friends of individuals with a skin condition, and 18 dermatology professionals) viewed the SkinSupport website and then took part in focus groups. Participants were recruited via social media, professional networks, and volunteer lists. Data from the survey were analyzed using descriptive and inferential statistics and qualitative content analysis. Results Both quantitative and qualitative responses suggest that the SkinSupport website was viewed positively by both patients and health professionals. Overall, 79.8% (417/523) of individuals with a skin condition, and the relatives and friends of individuals with a skin condition, said that they would use the website again; and 86.7% (52/60) of dermatology professionals said that they would recommend the site to somebody with a skin condition. Qualitative responses related to the website fell into 4 key themes: (1) appearance, (2) use and navigation, (3) information, and (4) areas for development. Conclusions The SkinSupport website was considered acceptable and usable. A range of areas requiring modification were identified. The website provides a useful resource that patients can access freely. Given the lack of services available to patients with skin conditions, health care professionals could routinely inform patients of this resource at assessment.
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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 | 0.001 |
| 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) | 0.001 | 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".