Sugathapala R D Udeshika Priyadarshani, Latimer Sharon, Gillespie Brigid M, Balasuriya Aindralal, Chaboyer Wendy
School of Nursing and Midwifery, Griffith University, Gold Coast Campus, Gold Coast, Queensland, Australia.
NHMRC Centre of Research Excellence in Wiser Wound Care, Griffith University, Gold Coast Campus, Gold Coast, Queensland, Australia.
J Adv Nurs. 2025 Jun 25. doi: 10.1111/jan.70036.
To determine the predictors of pressure injuries among residents living in Sri Lankan nursing homes.
A prospective multi-site longitudinal cohort study design.
Semi-structured observations and chart audits were used to gather data on 17 predictors of pressure injury from a consecutive sample of 210 residents (aged ≥ 60 years old) from nine nursing homes in Sri Lanka. Data were collected at baseline and followed up every week until the study endpoint: a new pressure injury or reaching the maximum 12 weeks of data collection, from July to October 2023. Validated semi-structured data collection forms and chart audits were utilised. Binary logistic regression was used to identify the predictors of pressure injuries. Generalised linear mixed models were used to assess the association between predictors and the development of new pressure injuries.
The cumulative incidence of pressure injuries was 17.1% (36/210) during the 12 weeks. The number of medical devices and baseline pressure injuries predicted the development of new pressure injuries. Each additional medical device increased the likelihood of developing a pressure injury by 2.3-fold, and individuals with a baseline pressure injury were 2.1 times more likely to develop a new pressure injury.
Multiple medical devices and baseline pressure injuries are predictors of pressure injury in older residents living in nursing homes.
This study provides evidence of pressure injury predictors among older residents living in nursing homes. Early identification of high-risk residents with an existing pressure injury and those with multiple medical devices is important for nurses and managers at nursing homes. Accurately assessing residents' risk of a pressure injury may result in implementing various preventive strategies that may ultimately help prevent future pressure injuries.
Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) for cohort studies guidelines.
No patient or public contribution.
确定居住在斯里兰卡疗养院的居民发生压疮的预测因素。
前瞻性多地点纵向队列研究设计。
采用半结构化观察和病历审核,从斯里兰卡9家疗养院连续抽取的210名居民(年龄≥60岁)样本中收集17个压疮预测因素的数据。于2023年7月至10月在基线时收集数据,并每周随访直至研究终点:出现新的压疮或达到最长12周的数据收集期。使用经过验证的半结构化数据收集表和病历审核。采用二元逻辑回归确定压疮的预测因素。使用广义线性混合模型评估预测因素与新发压疮之间的关联。
在12周期间,压疮的累积发生率为17.1%(36/210)。医疗设备数量和基线压疮可预测新发压疮。每增加一件医疗设备,发生压疮的可能性增加2.3倍,有基线压疮的个体发生新发压疮的可能性高2.1倍。
多种医疗设备和基线压疮是疗养院老年居民发生压疮的预测因素。
本研究提供了疗养院老年居民压疮预测因素的证据。早期识别有现有压疮的高危居民和有多种医疗设备的居民对疗养院的护士和管理人员很重要。准确评估居民发生压疮的风险可能会促使实施各种预防策略,最终有助于预防未来的压疮。
采用队列研究的加强流行病学观察性研究报告(STROBE)指南。
无患者或公众参与。