Compression for Lower Extremity Venous Disease and Lymphedema (CLEVDAL): Update of the VLU Algorithm. Issue 4 (July 2022)

• Record Type: Journal Article
• Authors: Ratliff, Catherine R.; Yates, Stephanie; McNichol, Laurie; Gray, Mikel
• Is Part Of: Journal of WOCN. Volume 49:Issue 4(2022)
• Page Start: 331
• Page End: 346
• Publication Date: 2022-07
• Subjects: Algorithm -- Chronic venous insufficiency (CVI) -- Compression -- Lymphedema -- Phlebolymphedema -- Venous leg ulcer (VLU) -- Venous ulcer -- VLU algorithm -- Wound; Abdomen -- Surgery -- Periodicals; Abdomen -- Wounds and injuries -- Nursing -- Periodicals; Bedsores -- Nursing -- Periodicals; Fecal incontinence -- Nursing -- Periodicals; Enterostomy -- Nursing -- Periodicals; Urinary incontinence -- Nursing -- Periodicals; 610.73
• DOI: 10.1097/WON.0000000000000889
• Languages: English
• ISSNs: 1071-5754

Abstract

Abstract : The Wound, Ostomy and Continence Nurses (WOCN) Society charged a task force with updating the venous leg ulcer (VLU) algorithm to include the addition of lymphedema with the new title of "Compression for Lower Extremity Venous Disease and Lymphedema (CLEVDAL)." As part of the process, the task force was charged to develop consensus-based statements to serve as clinical guidance related to CLEVDAL. The 3-member task force assisted by a moderator completed a scoping literature review to identify recommendations supported by research to qualify as evidence-based and to identify areas where guidance is needed to provide CLEVDAL. Based on the findings of the scoping review, the WOCN Society convened a panel of experts to develop consensus statements to direct care for those with lower extremity venous disease and lymphedema. These consensus statements underwent a second round of content validation with a different panel of clinicians with expertise in venous disease and lymphedema management. This article reports on the scoping review and subsequent evidence-based statements, along with the generation and validation of consensus-based statements to assist clinical decision-making in the CLEVDAL algorithm.