J Korean Acad Nurs.  2013 Aug;43(4):526-535. 10.4040/jkan.2013.43.4.526.

Clinical Nurses' Knowledge and Visual Differentiation Ability in Pressure Ulcer Classification System and Incontinence-associated Dermatitis

• Lee YJ
• Park S
• Kim JY
• Kim CG
• Cha SK

• KMID: 1707154
• DOI: http://doi.org/10.4040/jkan.2013.43.4.526

Abstract

PURPOSE
This study was done to compare clinical nurses' knowledge and visual differentiation diagnostic ability for the pressure ulcer classification system (PUCS) and incontinence-associated dermatitis (IAD).
METHODS
A convenience sample of 602 nurses took the pressure ulcer classification system and incontinence-associated dermatitis knowledge test (PUCS & IAD KT) and completed the visual differentiation tool (VDT), consisting of 21 photographs with clinical information.
RESULTS
The overall mean score for correct answers was 14.5 (+/-3.2) in PUCS & IAD KT and 11.15 (+/-4.9) in PUCS & IAD VDT. Incorrect responses were most common for statements related to stage III, IAD for PUCS & IAD KT, and suspected deep tissue injury (SDTI), unstageable, and stage III for PUCS & IAD VDT. Significant correlations were found between PUCS & IAD KT and VDT (r=.48, p<.001). Factors affecting scores for PUCS & IAD VDT were PUCS & IAD KT, frequency of pressure ulcer, IAD management and participation in wound care education programs.
CONCLUSION
Results indicate that nurses have an overall understanding of PUCS & IAD, but low visual differentiation ability regarding stage III, SDTI, and unstageable ulcers. Continuing education is needed to further improve knowledge and visual differentiation ability for PUCS & IAD.

Keyword

Pressure ulcer; Nurses; Knowledge; Dermatitis

MeSH Terms

Adult
Dermatitis/*classification/complications/pathology
Education, Continuing
Educational Measurement
Fecal Incontinence/complications
Female
Health Knowledge, Attitudes, Practice
Humans
Male
Nurses/*psychology
Pressure Ulcer/*classification/pathology
Questionnaires
Urinary Incontinence/complications

Figure

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  Figure 1. Answer rate on visual differentiation tool by the nurses (N=602).

Reference

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