Knowledge and Visual Differentiation Ability of the Pressure Injury Classification System and Incontinence-Associated Dermatitis among Hospital Nurses: A Descriptive Study

Author:

Park Seungmi1ORCID,Kim Eun Jung2,Lee Son Ja3,Kim Eun Jeong4,Lee Ji Yeon5,Hong Jung Eun1

Affiliation:

1. Department of Nursing Science, Chungbuk National University, Cheongju 28644, Chungbuk, Republic of Korea

2. Department of Nursing, Chungbuk National University Hospital, Cheongju 28644, Chungbuk, Republic of Korea

3. Department of Nursing Administration, Chungbuk National University Hospital, Cheongju 28644, Chungbuk, Republic of Korea

4. Quality Improvement Team, Chungbuk National University Hospital, Cheongju 28644, Chungbuk, Republic of Korea

5. Department of Nursing, Seojeong University, Yangju 11429, Gyeonggi-do, Republic of Korea

Abstract

This study investigated clinical nurses’ knowledge and visual differentiation ability of the pressure injury classification system (PICS) and incontinence-associated dermatitis (IAD), additionally analyzing possible influencing factors. A convenience sample of 248 nurses took the PICS and IAD knowledge test (KT) and completed the visual differentiation ability test (VDAT), consisting of 21 photographs with clinical information. The overall mean score for correct answers was 12.65 ± 2.90 points in PICS and IAD KT and 11.43 ± 4.57 points in VDAT. Incorrect responses were most common for statements related to stage II, III, IAD for PICS and IAD KT, and deep tissue pressure injury (DTPI), unstageable, and stage III for VDAT. Significant correlations were found between PICS and IAD KT and VDAT (r = 0.252, p < 0.001). Factors affecting scores for VDAT were the scores of PICS and IAD KT, debridement experience in nursing patients with PI, and the management frequency of PI and IAD. Results indicate that nurses have an overall understanding of PICS and IAD, but low visual differentiation ability regarding stage III, DTPI, and unstageable PI. Continuing education is needed to further improve knowledge and visual differentiation ability for PICS and IAD.

Funder

Chungbuk National University Korea National University

Publisher

MDPI AG

Subject

Health Information Management,Health Informatics,Health Policy,Leadership and Management

Reference37 articles.

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2. Health Care Big Data Hub (2023, December 15). Domestic Pressure Injury Statistics [Internet]. Wonju: Health Care Big Data Hub; From 2018 to 2021. Available online: https://opendata.hira.or.kr/op/opc/olapMfrnIntrsIlnsInfoTab1.do.

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