Evidence map›Paper›PMID 25549306›Full record

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.

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

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Risk assessment for perioperative pressure injuries.Revista latino-americana de enfermagem · 2019
    Observational
  5. Article
  6. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Laurie McNicholLaurie 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.
Carolyn Watts
Dianne Mackey
Janice M Beitz
Mikel Gray

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Surface PropertiesAlgorithmsConsensusHumansOstomyPressure UlcerSkin Care

Identifiers

PMID25549306
PMCPMC4845766

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.