OBJECTIVES: Patient-reported outcome (PRO) measures provide patients and clinicians with a tool to assess physical, social, and psychological functioning. Individual and aggregated data can inform treatment decision making and aid patient management. Existing PRO measures for psoriasis typically do not fully capture either impact on emotional wellbeing or coping behaviours, including modifiable behaviours associated with poor health outcomes and comorbid disease. The aim of this study was to develop content for a new PRO for the clinical management of psoriasis. METHODS: Patients with chronic plaque psoriasis were identified and recruited through two psoriasis-specific clinics.  Content was developed and iteratively refined through: a) in-depth qualitative, face-to-face interviews (n=30) using a semi-structured interview guide and analyzed using NVivo; b) development of a conceptual model and draft items with an expert panel; and  c) cognitive debriefing of draft items, response scale, and recall period to determine understanding and relevance to patients (n=8). RESULTS: Qualitative analysis revealed seven main domains of concern to patients with psoriasis including symptoms and impact on negative wellbeing, positive wellbeing, daily activities, illness beliefs, treatment beliefs, and coping techniques. A conceptual model is presented, postulating relationships between concepts identified by patients. An initial bank of 97 items was developed; cognitive debriefing revealed that most items were deemed relevant to psoriasis experience and could be accurately recalled over a 14-day time period. Six items were deleted through redundancy, lack of relevance, or poor understanding. A 91-item bank across six sub-scales remained.  CONCLUSIONS: The new measure, PROMPT, was derived from patient-reported experience and demonstrates initial face and content validity in a plaque psoriasis patient population. Further confirmation and refinement of items, scales, and scoring structure is planned through a large-scale quantitative study using Rasch techniques.