The prevalence and associated factors of skin tears in Belgian nursing homes: A cross-sectional observational study

Autor: Ann Van Hecke, Sofie Theys, Kimberly LeBlanc, Karen Campbell, Eline Vanheyste, Nele Van Damme, Dimitri Beeckman, Kevin Y. Woo, Sofie Verhaeghe, Hanne Van Tiggelen
Rok vydání: 2018
Předmět:
Zdroj: Journal of tissue viability. 28(2)
ISSN: 0965-206X
Popis: Background Although skin tears are among the most prevalent acute wounds in nursing homes, their recognition as a unique condition remains in its infancy. Elderly patients are at risk of developing skin tears due to increased skin fragility and other contributing risk factors. In order to provide (cost-) effective prevention, patients at risk should be identified in a timely manner. Objectives (1) To determine the point prevalence of skin tears and (2) to identify factors independently associated with skin tear presence in nursing home residents. Methods A cross-sectional observational study was set up, including 1153 residents in 10 Belgian nursing homes. Data were collected by trained researchers and study nurses using patient records and skin observations. A multiple binary logistic regression model was designed to explore independent associated factors (significance level α Results The final sample consisted of 795 nursing home residents, of which 24 presented with skin tears, resulting in a point prevalence of 3.0%. Most skin tears were classified as category 3 (defined as complete flap loss) according to the International Skin Tear Advisory Panel (ISTAP) Classification System and 75.0% were located on the lower arms/legs. Five independent associated factors were identified: age, history of skin tears, chronic use of corticosteroids, dependency for transfers, and use of adhesives/dressings. Conclusions This study revealed a skin tear prevalence of 3.0% in nursing home residents. Age, history of skin tears, chronic use of corticosteroids, dependency for transfers, and use of adhesives/dressings were independently associated with skin tear presence.
Databáze: OpenAIRE