Examining Prevalence and Risk Factors of Incontinence-Associated Dermatitis Using the International Pressure Ulcer Prevalence Survey

利用国际压力性溃疡患病率调查研究尿失禁相关性皮炎的患病率和危险因素

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Abstract

PURPOSE: To evaluate prevalence and risk factors of incontinence-associated dermatitis (IAD). DESIGN: Retrospective analysis of 2016 International Pressure Ulcer Prevalence survey data. SUBJECTS AND SETTING: Adult patients who were in acute care, long-term acute care, long-term care, and rehabilitation facilities in the United States and Canada. METHODS: IAD prevalence was calculated among all patients surveyed, among the incontinent patients only, across multiple care settings, and by incontinence type. A logistic regression examined risk factors for IAD in the incontinent population. RESULTS: Nearly 1 in 5 incontinent patients had IAD documented. Incontinence-associated dermatitis prevalence in the entire patient population was 4.3% while incontinence prevalence was 18%. Of incontinent patients, prevalence of IAD ranged from 8.4% in long-term care facilities to 19% in acute care facilities. Facilities with higher rates of incontinence did not necessarily have higher prevalence of IAD. Incontinence-associated dermatitis prevalence by incontinence type ranged from 12% for patients with urinary incontinence to 26% for patients with fecal management systems. Regression results support the association of the following factors with an increased likelihood of IAD documented: all types of incontinence, fecal management systems, higher body weight, diminished mobility, additional linen layers, longer length of stay, and lower Braden Scale scores. CONCLUSIONS: Incontinence-associated dermatitis remains a concern in acute care settings. Risk factors associated with IAD were similar to risk factors previously reported for hospital-acquired pressure injuries, such as limited mobility, longer lengths of stay, and additional linen layers. By consistently documenting IAD as well as pressure injury prevalence, facilities may benchmark overall skin prevention models.

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