Psychosocial Distress of Patients with Psoriasis: Protocol for an Assessment of Care Needs and the Development of a Supportive Intervention
Bibliographic record
Abstract
BACKGROUND: Psoriasis is a chronic inflammatory disease that is often associated with a number of somatic and mental comorbidity. Patients with psoriasis show an increased risk of depression and (social) anxiety. OBJECTIVE: The aims of this study are 1) to explore the psychosocial distress of patients with psoriasis and to assess their care needs; and 2) to develop a supportive intervention based on the prior results. METHODS: A multi-stage design with four phases combining quantitative and qualitative methodology will be used and conducted in two centers. 1) A scoping review and focus groups will be used to design a questionnaire to assess the psychosocial distress and care needs of the patients. 2) The questionnaire developed in phase 1 will be used in a cross-sectional survey to assess the extent of psychosocial distress and supportive care needs in 400 patients with psoriasis. 3) A systematic review and meta-analysis will be conducted to identify psychosocial and psychoeducational interventions for patients with psoriasis and to describe their effectiveness. 4) Based on the results of the phases 2 and 3 a manualized supportive intervention will be developed and the feasibility and acceptance of the intervention will be assessed. RESULTS: Currently, phase 1 of the project has been completed and the recruitment for phase 2 has been started. The systematic review and meta-analysis of phase 3 are conducted simultaneously to phase 2 and results are expected soon. Phase 4 has not been started yet. CONCLUSIONS: The expected results of this study will show the extent of psychosocial distress of patients with psoriasis in Germany and supplement previous research with findings about the supportive care needs of this patient group. Moreover, the developed intervention will help to address the psychosocial support needs of patients with psoriasis. Research shows that psychosocial support is strongly needed.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".