医学
混乱
入射(几何)
坠落(事故)
事故报告
伤害预防
风险因素
急诊医学
病危
自杀预防
毒物控制
职业安全与健康
人为因素与人体工程学
医疗急救
重症监护医学
心理学
精神科
内科学
精神分析
病理
工程类
物理
光学
法律工程学
作者
Annette Richardson,Rachel Carter
摘要
ABSTRACT Background Patient falls are the most common adverse event in hospitals, resulting in devastating physical, psychological and financial consequences. Therefore the emphasis on falls assessment and prevention is a key priority. Within hospitals those reported at greatest risk of falls are older patients with little known about the factors within critical care. At a local level, a practice development project was identified to review risk factors contributing to falls in critical care. Aims To identify the incidence of falls within adult critical care and the risk factors most likely to contribute to a fall. Methods Reported falls incidents were reviewed retrospectively using a local incident reporting system, over a 2‐year period from four critical care units. Findings Forty‐two incidents were reviewed indicating a low rate of injury and low rate of occurrence (0·99 falls/1000 bed days). The median age of fallers was 58 years and the most common risk factor for falls was confusion or agitation, followed by patients attempting to mobilize against advice. Discussion Critically ill patients were less likely to fall and were more likely to be younger than patients falling on an acute care ward. Neuroscience/trauma critically ill patients were more likely to fall than general critically ill patients; this was expected to be because of the increased presence of confusion or agitation in this group. The local system used to report falls produced difficulties in identifying risk factors in a consistent way. Although limitations exist, this review has enabled the development of more suitable local critical care falls risk factor assessment and interventions to minimize the risk of falling. Conclusions Fall rates, related injuries and circumstances of falls vary considerably among acute care and critical care specialities. Future work should concentrate on better falls reporting systems and further research should include validating risk factors for critical care falls.
科研通智能强力驱动
Strongly Powered by AbleSci AI