ArticleJournal of wound, ostomy, and continence nursing : official publication of The Wound, Ostomy and Continence Nurses Society
Identifying the right surface for the right patient at the right time: generation and content validation of an algorithm for support surface selection.
Article in Journal of wound, ostomy, and continence nursing : official publication of The Wound, Ostomy and Continence Nurses Society. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Development and Preliminary Validation of a Central Venous Access Device-Associated Skin Impairment Classification Tool Using Modified Delphi and Clinimetric Methods.Journal of advanced nursing · 2025Article
- Peer support as pressure ulcer prevention strategy in special school learners with paraplegia.The South African journal of physiotherapy · 2024Article
- Article
- Risk assessment for perioperative pressure injuries.Revista latino-americana de enfermagem · 2019Observational
- Influence of support surfaces on the distribution of body interface pressure in surgical positioning.Revista latino-americana de enfermagem · 2018Article
- Models Used in Clinical Decision Support Systems Supporting Healthcare Professionals Treating Chronic Wounds: Systematic Literature Review.JMIR diabetes · 2018Review
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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Registered trials
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