Peres Giovana Ribau Picolo, Bandeira da Silva Cinthia Viana, Strazzieri-Pulido Kelly Cristina, de Gouveia Santos Vera Lúcia Conceição
Department of Nursing, São Camilo Hospital, São Paulo, Brazil.
Stomal Therapy Research Group, University of São Paulo, São Paulo, Brazil.
J Wound Care. 2022 Jun 2;31(6):468-478. doi: 10.12968/jowc.2022.31.6.468.
To determine the prevalence of skin tears, and demographic and clinical factors associated with their presence in older adult residents of long-term care facilities.
This observational, quantitative, cross-sectional, epidemiological study was conducted with older adult residents of three long-term care facilities in São Paulo, Brazil. For data collection, four instruments were used: a questionnaire assessing sociodemographic and clinical characteristics of the residents; and the Brazilian-Portuguese versions of the Mini-Mental State Examination, Skin Tear Audit Research (STAR) Skin Tear Classification System, and the Katz Index of Independence in Activities of Daily Living.
A total of 69 residents took part in the study. The prevalence of skin tears was 11.6%. Skin tears were significantly associated with the presence of haematoma (odds ratio, OR=9.159; p=0.017) and actinic purpura (OR=6.265; p=0.033), which increased the odds of skin tear development nine-fold and six-fold, respectively.
The findings agree with the international literature. Considering that this was the first epidemiological study on skin tears carried out in long-term care facilities for older adults in Brazil, its contribution lies in the systematisation of data collection and making data available on a field that has not yet been studied in this country.
确定长期护理机构老年居民皮肤撕裂伤的患病率以及与其存在相关的人口统计学和临床因素。
对巴西圣保罗三家长期护理机构的老年居民进行了这项观察性、定量、横断面流行病学研究。为收集数据,使用了四种工具:一份评估居民社会人口统计学和临床特征的问卷;以及简易精神状态检查表、皮肤撕裂伤审计研究(STAR)皮肤撕裂伤分类系统和日常生活活动能力的卡茨独立指数的巴西葡萄牙语版本。
共有69名居民参与了该研究。皮肤撕裂伤的患病率为11.6%。皮肤撕裂伤与血肿的存在(比值比,OR = 9.159;p = 0.017)和光化性紫癜(OR = 6.265;p = 0.033)显著相关,这分别使皮肤撕裂伤发生的几率增加了9倍和6倍。
研究结果与国际文献一致。鉴于这是巴西首次针对长期护理机构老年居民进行的皮肤撕裂伤流行病学研究,其贡献在于数据收集的系统化以及提供了该国尚未研究领域的数据。