Nursing best practice referral algorithm for the early detection of mycosis fungoides Journal Article


Authors: Lucas, A. S.; Ciccolini, K.
Article Title: Nursing best practice referral algorithm for the early detection of mycosis fungoides
Abstract: Background Mycosis fungoides is the most common type of cutaneous T-cell lymphoma (CTCL), yet is frequently misdiagnosed and perplexing to those who may not be familiar with the disease process and management. Therefore, nursing involvement in the interdisciplinary referral process from a generalist to a specialist is key to improving patient outcomes in the early detection of mycosis fungoides. Purpose of Study/Inquiry This manuscript elucidates the nursing role in the referral process of patients with CTCL, the importance of clinical grasp in the interdisciplinary approach for referrals, and factors to consider when customizing patient care plans. Methodology/Methods and Analytical Approach In effort to elucidate the nursing role in the obscure referral process in this unique patient population, an evidence-based approach is utilized to create a standardized method of care coordination to improve patient outcomes. Harvesting this method improves clinical care coordination and can result in a powerful tool to streamline the referral process. Findings/Implications An evidence-based standardized algorithm has been created for the nurse in the generalist office referring to patients with cutaneous lymphoma to dermatology specialists. Furthermore, this manuscript will strengthen nursing clinical knowledge, define the referral process, and improve patient outcomes in the transfer of care for patients with CTCL. © 2016 Dermatology Nurses' Association.
Keywords: skin cancer; cutaneous t-cell lymphoma; diagnosis; mycosis fungoides; cutaneous lymphoma; dermatology nursing; nursing referrals; referrals; skin assessment
Journal Title: Journal of the Dermatology Nurses Association
Volume: 8
Issue: 2
ISSN: 1945-760X
Publisher: Lippincott Williams & Wilkins  
Date Published: 2016-03-01
Start Page: 109
End Page: 120
Language: English
DOI: 10.1097/jdn.0000000000000205
PROVIDER: scopus
DOI/URL:
Notes: Article -- Export Date: 2 May 2016 -- Source: Scopus
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