Current challenges and emerging drug delivery strategies for the treatment of psoriasis. (2nd October 2016)

• Record Type: Journal Article
• Authors: Hoffman, Melissa B.; Hill, Dane; Feldman, Steven R.
• Is Part Of: Expert opinion on drug delivery. Volume 13:Number 10(2016:Oct.)
• Page Start: 1461
• Page End: 1473
• Publication Date: 2016-10-02
• Subjects: Treatment adherence -- biologics -- biosimilars -- small molecule agents -- compliance -- phototherapy -- systemics; Drug delivery devices -- Periodicals; Drug delivery systems -- Periodicals; 615.605
• DOI: 10.1080/17425247.2016.1188801
• Languages: English
• ISSNs: 1742-5247

Abstract

ABSTRACT: Introduction : Psoriasis is a common skin disorder associated with physical, social, psychological and financial burden. Over the past two decades, advances in our understanding of pathogenesis and increased appreciation for the multifaceted burden of psoriasis has led to new treatment development and better patient outcomes. Yet, surveys demonstrate that many psoriasis patients are either undertreated or are dissatisfied with treatment. There are many barriers that need be overcome to optimize patient outcomes and satisfaction. Areas covered : This review covers the current challenges associated with each major psoriasis treatment strategy (topical, phototherapy, oral medications and biologics). It also reviews the challenges associated with the psychosocial aspects of the disease and how they affect treatment outcomes. Patient adherence, inconvenience, high costs, and drug toxicities are all discussed. Then, we review the emerging drug delivery strategies in topical, oral, and biologic therapy. Expert opinion: By outlining current treatment challenges and emerging drug delivery strategies, we hope to highlight the deficits in psoriasis treatment and strategies for how to overcome them. Regardless of disease severity, clinicians should use a patient-centered approach. In all cases, we need to balance patients' psychosocial needs, treatment costs, convenience, and effectiveness with patients' preferences in order to optimize treatment outcomes.