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在正确的时间为正确的患者选择合适的支撑面:一种支撑面选择算法的生成与内容验证

Identifying the right surface for the right patient at the right time: generation and content validation of an algorithm for support surface selection.

作者信息

McNichol Laurie, Watts Carolyn, Mackey Dianne, Beitz Janice M, Gray Mikel

机构信息

Laurie McNichol, MSN, RN, GNP, CWOCN, CWON-AP, Clinical Nurse Specialist and WOC Nurse, Cone Health, Wesley Long Hospital, Greensboro, North Carolina Carolyn Watts, MSN, RN, CWON, CBPN-IC, Senior Associate in Surgery, Clinical Nurse Specialist, WOC Nurse, Vanderbilt University Medical Center, Nashville, Tennessee Dianne Mackey, MSN, RN, CWOCN, Staff Educator, Chair, National Wound Management Sourcing and Standards Team, Home Health/Hospice/Palliative Care, Kaiser Permanente, San Diego, California Janice M. Beitz, PhD, RN, CS, CNOR, CWOCN, CRNP, APN-C, FAAN, Professor of Nursing, School of Nursing - Camden, Rutgers University, Camden, New Jersey Mikel Gray, PhD, PNP, FNP, CUNP, CCCN, FAANP, FAAN, Professor and Nurse Practitioner, Department of Urology and School of Nursing, University of Virginia Health Sciences Center, Charlottesville, Virginia.

出版信息

J Wound Ostomy Continence Nurs. 2015 Jan-Feb;42(1):19-37. doi: 10.1097/WON.0000000000000103.

Abstract

Support surfaces are an integral component of pressure ulcer prevention and treatment, but there is insufficient evidence to guide clinical decision making in this area. In an effort to provide clinical guidance for selecting support surfaces based on individual patient needs, the Wound, Ostomy and Continence Nurses Society (WOCN®) set out to develop an evidence- and consensus-based algorithm. A Task Force of clinical experts was identified who: 1) reviewed the literature and identified evidence for support surface use in the prevention and treatment of pressure ulcers; 2) developed supporting statements for essential components for the algorithm, 3) developed a draft algorithm for support surface selection; and 4) determined its face validity. A consensus panel of 20 key opinion leaders was then convened that: 1.) reviewed the draft algorithm and supporting statements, 2.) reached consensus on statements lacking robust supporting evidence, 3.) modified the draft algorithm and evaluated its content validity. The Content Validity Index (CVI) for the algorithm was strong (0.95 out of 1.0) with an overall mean score of 3.72 (out of 1 to 4), suggesting that the steps were appropriate to the purpose of the algorithm. To our knowledge, this is the first evidence and consensus based algorithm for support surface selection that has undergone content validation.

摘要

支撑面是压疮预防和治疗的一个重要组成部分,但目前尚无足够证据指导该领域的临床决策。为了根据患者个体需求提供选择支撑面的临床指导,伤口、造口和失禁护理护士协会(WOCN®)着手制定一种基于证据和共识的算法。确定了一个临床专家特别工作组,其任务如下:1)回顾文献并确定支撑面在压疮预防和治疗中的使用证据;2)为算法的基本要素制定支持性声明;3)制定支撑面选择的算法草案;4)确定其表面效度。随后召集了一个由20位关键意见领袖组成的共识小组,该小组:1)审查算法草案和支持性声明;2)就缺乏有力支持证据的声明达成共识;3)修改算法草案并评估其内容效度。该算法的内容效度指数(CVI)较高(1.0分中得0.95分),总体平均分为3.72分(满分4分),这表明这些步骤与算法目的相符。据我们所知,这是首个经过内容验证的基于证据和共识的支撑面选择算法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c39/4845766/ae6341d56260/wocn-42-19-g001.jpg

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