Treatment Goals for Psoriasis as Measured by Patient Benefit Index: Results of a National Psoriasis Foundation Survey

根据患者获益指数衡量的银屑病治疗目标:美国国家银屑病基金会调查结果

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Abstract

INTRODUCTION: This cross-sectional survey was conducted with National Psoriasis Foundation (NPF) to capture treatment perspectives and expectations in patients with psoriasis (PsO) using Patient Needs Questionnaire (PNQ) of Patient Benefit Index (PBI). METHODS: Adult participants with self-reported diagnosis of PsO responded to the PNQ portion of PBI by indicating how much they valued different treatment attributes. All the treatment goals were captured on a five-point Likert scale (0 = "Not important", 4 = "Very important"). Treatment goals were obtained for overall population and subgroups based on severity of disease Patient Global Assessment (PGA), age, gender, and Dermatology Life Quality Index (DLQI) total score. All data were expressed as mean and standard deviation [SD]. RESULTS: A total of 1200 participants completed the survey (mean age 51.5 years). Top treatment goal in the overall population was "to have confidence in the therapy" (3.46 [1.01]). Unique to the higher severity subgroup (PGA ≥ 3), "to find a clear diagnosis and therapy" was a top five goal and "to get better skin quickly" was for those with lesser severity (PGA < 3). "To be free of itching" (3.36 [0.99]) was the unique goal in the < 40 age group whereas it was "to get better skin quickly" (3.27 [1.12]) in the ≥ 40 group. In women and men, "to be free of itching" (3.38 [1.13]) and "to get better skin quickly" (3.20 [1.09]) were top five goals, respectively. Patients with ≥ 10 DLQI scores expressed higher treatment goal "to regain control of the disease" (3.66 [0.67]) compared to those with ≤ 10 DLQI scores who expressed "to have confidence in the therapy" (3.40 [1.11]) as the topmost treatment goal. CONCLUSION: Our results suggest that in patients with PsO, treatment preferences can vary with different characteristics such as age, severity, and gender as measured by using PNQ. Further exploration of this data will help inform treatment decisions and optimize patient outcomes.

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