Literature DB >> 29091035

Predicting the Likelihood of Delayed Venous Leg Ulcer Healing and Recurrence: Development and Reliability Testing of Risk Assessment Tools.

Christina N Parker, Kathleen J Finlayson, Helen E Edwards.   

Abstract

Venous leg ulcers are characterized by a long healing process and repeated cycles of ulceration. A secondary analysis of data from multisite longitudinal studies was conducted to identify risk factors for delayed healing and recurrence of venous leg ulcers for development of risk assessment tools, and a single-site prospective study was performed to as- sess the new tools' interrater reliability (IRR). The development of the risk assessment tools was based on results from previous multivariate analyses combined with further risk factors documented in the literature from systematic reviews, randomized controlled trials, and cohort studies with regard to delayed healing and recurrence. The delayed healing tool contained 10 items, including patient demographics, living status, use of high-compression therapy, ulcer area, wound bed tissue type, and percent reduction in ulcer area after 2 weeks. The recurrence tool included 8 items, including his- tory of deep vein thrombosis, duration of previous ulcer, history of previous ulcers, body mass index, living alone, leg elevation, walking, and compression. Using consensus procedures, content validity was established by an advisory group of 21 expert multidisciplinary clinicians and researchers. To determine intraclass correlation (ICC) and IRR, 3 rat- ers assessed 26 patients with an open ulcer and 22 with a healed ulcer. IRR analysis indicated statistically signi cant agreement for the delayed healing tool (ICC 0.84; 95% con dence interval [CI], 0.70-0.92; P <.001) and the recurrence tool (ICC 0.88; 95% CI, 0.75-0.94; P <.001). The development and reliability results of these risk assessment tools meet the recommendations for evidence-based, reliable tools and may bene t clinicians and patients in the management of venous leg ulcers. Studies to examine the items with low ICC scores and to determine the predictive validity of these tools are warranted.

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Year:  2017        PMID: 29091035

Source DB:  PubMed          Journal:  Ostomy Wound Manage        ISSN: 0889-5899            Impact factor:   2.629


  6 in total

1.  Predicting delayed healing: The diagnostic accuracy of a venous leg ulcer risk assessment tool.

Authors:  Helen E Edwards; Christina N Parker; Charne Miller; Michelle Gibb; Suzanne Kapp; Rajna Ogrin; Jacinta Anderson; Kerrie Coleman; Dianne Smith; Kathleen J Finlayson
Journal:  Int Wound J       Date:  2017-12-26       Impact factor: 3.315

2.  Predicting the likelihood of venous leg ulcer recurrence: The diagnostic accuracy of a newly developed risk assessment tool.

Authors:  Kathleen J Finlayson; Christina N Parker; Charne Miller; Michelle Gibb; Suzanne Kapp; Rajna Ogrin; Jacinta Anderson; Kerrie Coleman; Dianne Smith; Helen E Edwards
Journal:  Int Wound J       Date:  2018-03-13       Impact factor: 3.315

3.  Efficacy of a Self-managed Cooling Intervention for Pain and Physical Activity in Individuals With Recently Healed Chronic Venous Leg and Diabetic Foot Ulcers: A Randomized Controlled Trial.

Authors:  Teresa J Kelechi; Martina Mueller; Mohan Madisetti; Margaret Prentice
Journal:  J Wound Ostomy Continence Nurs       Date:  2022-05-04       Impact factor: 1.970

4.  The Wound Healing Index for Predicting Venous Leg Ulcer Outcome.

Authors:  Caroline E Fife; Susan D Horn
Journal:  Adv Wound Care (New Rochelle)       Date:  2019-12-18       Impact factor: 4.730

5.  Skin Substitutes for Adults With Diabetic Foot Ulcers and Venous Leg Ulcers: A Health Technology Assessment.

Authors: 
Journal:  Ont Health Technol Assess Ser       Date:  2021-06-04

6.  A Lower Leg Physical Activity Intervention for Individuals With Chronic Venous Leg Ulcers: Randomized Controlled Trial.

Authors:  Teresa J Kelechi; Margaret A Prentice; Martina Mueller; Mohan Madisetti; Alexey Vertegel
Journal:  JMIR Mhealth Uhealth       Date:  2020-05-15       Impact factor: 4.773

  6 in total

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