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Identifying the Right Surface for the Right Patient at the Right Time: Generation and Content Validation of an Algorithm for Support Surface Selection

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...

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Autores principales: McNichol, Laurie, Watts, Carolyn, Mackey, Dianne, Beitz, Janice M., Gray, Mikel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4845766/
https://www.ncbi.nlm.nih.gov/pubmed/25549306
http://dx.doi.org/10.1097/WON.0000000000000103
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author McNichol, Laurie
Watts, Carolyn
Mackey, Dianne
Beitz, Janice M.
Gray, Mikel
author_facet McNichol, Laurie
Watts, Carolyn
Mackey, Dianne
Beitz, Janice M.
Gray, Mikel
author_sort McNichol, Laurie
collection PubMed
description 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.
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spelling pubmed-48457662016-05-11 Identifying the Right Surface for the Right Patient at the Right Time: Generation and Content Validation of an Algorithm for Support Surface Selection McNichol, Laurie Watts, Carolyn Mackey, Dianne Beitz, Janice M. Gray, Mikel J Wound Ostomy Continence Nurs Wound Care 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. Lippincott Williams & Wilkins 2015-01 2015-01-13 /pmc/articles/PMC4845766/ /pubmed/25549306 http://dx.doi.org/10.1097/WON.0000000000000103 Text en © 2015 by the Wound, Ostomy and Continence Nurses Society
spellingShingle Wound Care
McNichol, Laurie
Watts, Carolyn
Mackey, Dianne
Beitz, Janice M.
Gray, Mikel
Identifying the Right Surface for the Right Patient at the Right Time: Generation and Content Validation of an Algorithm for Support Surface Selection
title Identifying the Right Surface for the Right Patient at the Right Time: Generation and Content Validation of an Algorithm for Support Surface Selection
title_full Identifying the Right Surface for the Right Patient at the Right Time: Generation and Content Validation of an Algorithm for Support Surface Selection
title_fullStr Identifying the Right Surface for the Right Patient at the Right Time: Generation and Content Validation of an Algorithm for Support Surface Selection
title_full_unstemmed Identifying the Right Surface for the Right Patient at the Right Time: Generation and Content Validation of an Algorithm for Support Surface Selection
title_short Identifying the Right Surface for the Right Patient at the Right Time: Generation and Content Validation of an Algorithm for Support Surface Selection
title_sort identifying the right surface for the right patient at the right time: generation and content validation of an algorithm for support surface selection
topic Wound Care
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4845766/
https://www.ncbi.nlm.nih.gov/pubmed/25549306
http://dx.doi.org/10.1097/WON.0000000000000103
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