Mapping the nature, type, and association network of safety incidents among individuals with cognitive impairment in China: a large-scale multicenter cross-sectional study

BACKGROUND: Patient safety critically influences both quality of life and disease progression in older adults with cognitive impairment, yet large-scale multicenter data remain scarce. This study aims to systematically analyze the types of safety incidents experienced by patients with Alzheimer's disease and related cognitive impairments, and explore the network associations of different safety incidents. METHODS: Initiated by the Alzheimer's Disease China (ADC), this survey recruited 1057 older individuals with Alzheimer's and related cognitive impairments, along with their families, across 31 provinces, autonomous regions, and municipalities. The safety incidents evaluated in this study included falls, getting lost, medication errors, verbal aggression, physical aggression, household fire, aspiration, and choking. Incidence rates for overall and specific safety incidents were calculated. Correlation analyses and network analysis were performed to examine relationships between safety incidents. RESULTS: A high proportion (73.5%) of participants reported at least one safety incident in the past year, with over one-third (36.0%) experiencing three or more concurrent incidents. Medication errors (55.9%) and verbal aggression (39.6%) were most frequent, followed by falls (32.5%) and physical aggression (22.7%). Incidence rates varied significantly by cognitive impairment stage, care setting, and geographic region. Network analysis highlighted medication errors and getting lost as central nodes bridging other incidents. CONCLUSIONS: This study reveals an alarmingly high incidence of safety incidents among cognitively impaired patients, affecting their physical, psychological, and familial well-being. A collaborative, multidisciplinary effort involving healthcare professionals, family caregivers, fire and police emergency responders, and public health policymakers is essential to develop individualized safety strategies aligned with patient needs and contextual considerations.

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Publication Details

Journal
The Journal of Prevention of Alzheimer s Disease
Published
2026-05-29
DOI
https://doi.org/10.1016/j.tjpad.2026.100606
Primary Topic
Mental Health Research Topics
Type
article
Field-Weighted Citation Impact
0.00

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article

Mapping the nature, type, and association network of safety incidents among individuals with cognitive impairment in China: a large-scale multicenter cross-sectional study

Yaying Song, Jieli Geng, Zhengluan Liao, Hengge Xie et al.
The Journal of Prevention of Alzheimer s Disease
Mental Health Research Topics
article

Mapping the nature, type, and association network of safety incidents among individuals with cognitive impairment in China: a large-scale multicenter cross-sectional study

Yaying Song, Jieli Geng, Zhengluan Liao, Hengge Xie, Rujing Ren, Jun Liu, Wenwei Cao, Nan Zhi, Lin Wang, Huayan Liu, Xiaohong Wang, Wang Liao, Yan Zhou, Yongan Sun, Qiumin Qu, Guoping Peng, Yang Zhang, ying heng zhou, Huali Wang, Yuan Zhu, Jingping Shi, Gang WANG
article en

Abstract

BACKGROUND: Patient safety critically influences both quality of life and disease progression in older adults with cognitive impairment, yet large-scale multicenter data remain scarce. This study aims to systematically analyze the types of safety incidents experienced by patients with Alzheimer's disease and related cognitive impairments, and explore the network associations of different safety incidents. METHODS: Initiated by the Alzheimer's Disease China (ADC), this survey recruited 1057 older individuals with Alzheimer's and related cognitive impairments, along with their families, across 31 provinces, autonomous regions, and municipalities. The safety incidents evaluated in this study included falls, getting lost, medication errors, verbal aggression, physical aggression, household fire, aspiration, and choking. Incidence rates for overall and specific safety incidents were calculated. Correlation analyses and network analysis were performed to examine relationships between safety incidents. RESULTS: A high proportion (73.5%) of participants reported at least one safety incident in the past year, with over one-third (36.0%) experiencing three or more concurrent incidents. Medication errors (55.9%) and verbal aggression (39.6%) were most frequent, followed by falls (32.5%) and physical aggression (22.7%). Incidence rates varied significantly by cognitive impairment stage, care setting, and geographic region. Network analysis highlighted medication errors and getting lost as central nodes bridging other incidents. CONCLUSIONS: This study reveals an alarmingly high incidence of safety incidents among cognitively impaired patients, affecting their physical, psychological, and familial well-being. A collaborative, multidisciplinary effort involving healthcare professionals, family caregivers, fire and police emergency responders, and public health policymakers is essential to develop individualized safety strategies aligned with patient needs and contextual considerations.

The Journal of Prevention of Alzheimer s DiseaseVol. 13(8)
Shanghai Jiao Tong University (CN), Peking University (CN), Renji Hospital (CN), Ruijin Hospital (CN), Chinese PLA General Hospital (CN), Second Affiliated Hospital of Guangzhou Medical University (CN), Nanjing Brain Hospital (CN), First Affiliated Hospital of Xi'an Jiaotong University (CN), Zhongshan Hospital (CN), Peking University First Hospital (CN), First Hospital of China Medical University (CN), Community Health Center (US), Peking University Sixth Hospital (CN), YangPu Geriatric Hospital (CN), Hangzhou Medical College (CN), First Affiliated Hospital Zhejiang University (CN), Zhejiang University (CN), China Medical University (CN), Guangzhou Medical University (CN)
National Natural Science Foundation of China, Ministry of Science and Technology of the People's Republic of China, Science and Technology Commission of Shanghai Municipality, Shanghai Jiao Tong University, National University's Basic Research Foundation of China, School of Medicine, Shanghai Jiao Tong University
Openalex Percentile: Top 5%
Mental Health Research Topics
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