Welcome to Visited Lingnan Modern Clinics In Surgery, Today is

Lingnan Modern Clinics in Surgery ›› 2019, Vol. 19 ›› Issue (02): 241-243.DOI: 10.3969/j.issn.1009-976X.2019.02.026

Previous Articles     Next Articles

An analysis report of patients falling in hospital

ZHANG Chunqiong, LI Zhuohui, XIE Jingmei, LIANG Donghua   

医院内住院患者跌倒事件的分析报告

张春琼, 李卓惠, 谢敬梅, 梁东华   

  1. 广东省化州市人们医院ICU病房
  • 通讯作者: 张春琼

Abstract: [Abstract] Objective To investigate the occurrence and characteristics of falls in hospitalized patients. Methods A retrospective analysis was performed about the incidence and characteristics of hospitalized falls in hospitals from January to June 2017. Results A total of 141 falls occurred in 127 patients, two of which resulted in a fracture. The average age of patients who fell was 63.9 years (range 0 to 91). Most falls occur at the bedside (68.2%). About half of the falls were related to activities (46.6%), and the most common time to find falls was 2:00?3:59 and (38/201, 18.9%) and 6:00?7:59 (28/201, 13.9%), which followed by the morning when the patient was active. The fall rate in our hospital was 1.37 falls per 1,000 patient ?days. The Internal Medical in hospital departments had the highest fall rate (3.08 times/1000 patient?days), followed by the Emergency Dept. and Pediatrics Dept. (2.98 times/1000 patient?days and 2.56 times/1000 patient?days). Conclusion This study demonstrates the characteristics of falls in hospitals in general hospitals and suggests that increased care or publicity for some time periods may help reduce the incidence of falls in hospitalized patients.

Key words: inpatients, fall

摘要: [摘要] 目的 调查住院患者跌倒的发生情况和特征。方法 回顾性分析2017年1月至6月医院内发生的住院患者跌倒的发生率和特征。结果 共有127例患者中发生201次跌倒,其中2例导致骨折。跌倒患者的平均年龄为63.9岁(范围0至91)年。大多数跌倒发生在床边(68.2%)。大约一半的跌倒为滑倒(46.6%),发现跌倒的最常见时间是凌晨2:00~3:59(38/201,18.9%)和6:00~7:59(28/201,13.9%),其次是早晨即患者进行活动时。我院的跌倒率为每千日患者1.37次跌倒。内科的跌倒率最高(3.08次/1000患者?日),其次是急诊科和儿科(每千患者日2.98次/1000患者?日和2.56次/1000患者?日)。结论 这项研究展现了普通医院住院患者跌倒的特征,并提示对一些时间段的护理增强或者宣传教育可能有助于减少住院患者跌倒的发生率。

关键词: 跌倒, 住院患者

CLC Number: