McNichol L, Watts C, Mackey D, Beitz JM, Gray M, et al.
Journal of wound, ostomy, and continence nursing : official publication of The Wound, Ostomy an.... Date of publication 2015 Jan 1;volume 42(1):19-37.
1. J Wound Ostomy Continence Nurs. 2015 Jan-Feb;42(1):19-37. doi:
10.1097/WON.0000000000000103.
Identifying the right surface for the right patient at the right time: generation
and content validation of an algorithm for support surface selection.
McNichol L(1), Watts C, Mackey D, Beitz JM, Gray M.
Author information:
(1)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.
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.
DOI: 10.1097/WON.0000000000000103
PMCID: PMC4845766
PMID: 25549306 [Indexed for MEDLINE]
