Falls And Fall-Related Consequences Among Older People Living In Long-Term Care Facilities In A Megacity Of China

GERONTOLOGY(2020)

Cited 5|Views47
No score
Abstract
Introduction: Falls are currently the top safety problem in long-term care facilities (LTCFs) in China. Due to the increasing number of residents living in LTCFs, more evidence is needed to give a foundation for fall prevention. Objective: This study aimed to explore the epidemiological characteristics of falls in LTCFs in central Shanghai. Methods: The study was conducted in 21 LTCFs in a central district in Shanghai, with a capacity of 3,065 residents. A two-stage sampling method was applied in participant recruitment. Falls were recorded by LTCF staff over a 12-month period. Details of falls were obtained by face-to-face interviews. The chi(2) test was used in data analyses. Results: The incidence of falls was 13.5%; 64.0% falls resulted in injuries, with 32.0% involving fractures. Women had a significantly higher incidence of injurious falls than men (chi(2) = 4.066, p = 0.044). Residents aged 80-89 years or in level 1 care had the highest incidence of falls with severe consequences. The incidence of falls was significantly higher at small- or medium-sized LTCFs, public LTCFs, and LTCFs with higher environmental risk levels compared to their counterparts. Most falls occurred when walking on a flat floor (28.9%) and rising up or sitting down (24.0%); 40.9% occurred during the night. Of those injured, 54.8% were treated in hospitals, and only 53.7% completely recovered. Conclusions: Though the average incidence of falls in LTCFs in Shanghai was relatively low, great variation was observed between LTCFs, and severe consequences occurred frequently. Fall prevention programmes should be evidence-based with applicable devices and individualized care services and supports. The roles of personal and institutional factors on falls warrant further study.
More
Translated text
Key words
Falls, Long-term care facility, Epidemiology, Elderly people, Injury
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined