A Survey of Community Dermatologists Reveals the Unnecessary Impact of Trial-and-Error Behavior on the Psoriasis...

In the USA, psoriasis affects approximately 3% of the population and costs more than $110 billion annually. The development of targeted biologics has revolutionized psoriasis management, but at an increasing cost. According to Joint AAD/NPF guidelines, an important need exists to identify biomarkers that can predict the appropriate biologic agent for patients.

A survey of community dermatologists was developed to address (1) significant factors influencing biologic therapy utilization in psoriasis; (2) the clinical utility of a test stratifying biologic response.

Respondents confirmed that trial and error leads to frequent biologic switching. The survey indicated that 82% of dermatologists switch 10-30% of their patients in the first year and 98% switch intra-class for at least 50% of non-responding patients. The trial and error is due, in part, to formularies influencing the physician 77% of the time, with only 14% reporting that their first choice and the formulary alignment is greater than 75%. Compounding trial and error, 93% of the physicians report that they wait at least 12 weeks before determining non-response, in alignment with AAD/NPF guidelines. The lack of precision medicine and this trial-and-error approach result in unnecessary wasted spending and suboptimal patient outcomes. After being given an overview of Mind.Px, a dermal biomarker patch used to predict therapeutic response to a biologic class, survey participants expressed that: 93% would utilize Mind.Px results to determine first-line therapy even if this differed from initial clinical choice 100% would utilize Mind.Px if part of the prior authorization process 98% say Mind.Px would improve patient outcomes 81% reported Mind.Px would help with prior authorization process CONCLUSIONS: Surveyed dermatologists believe a test that predicts psoriasis treatment response to a class of biologic drugs would lessen trial and error, provide a tool for physicians to make more informed decisions about drug selection, improve patient outcomes, and significantly reduce wasted spending.