Profiles in neglect of older adult care workers in a long-term care facility: a latent profile analysis

长期护理机构中老年护理人员疏忽行为的概况:潜在概况分析

阅读:1

Abstract

BACKGROUND: Neglect is a common form of abuse, and long-term care facilities record higher incidences of this abuse. Given that older adult care workers are the main workforce in these facilities, their neglectful behavior requires public health attention. Internal individual characteristics can lead to older adult abuse, and managing workers who abuse older adults may require various methods. This study aimed to identify the profiles of neglect among older adult care workers in long-term care facilities and explore the influencing factors of neglect. METHODS: In this cross-sectional study, a convenience sample of older adult care workers from 15 long-term care facilities in Shandong Province (N = 421) completed a questionnaire on the characteristics associated with neglect. Latent profile analysis was used to identify distinct neglect profiles and promote the understanding of individual characteristics associated with varying levels of neglect. One-way analysis of variance and multivariate logistic regression analyses were used to examine the population characteristic differences. RESULTS: Older adult care workers exhibited three neglect profiles, namely, the "low-risk group," "medium-risk group," and "high-risk group." Males, participants with no employment qualification certificate, and those who did not attend regular training represented the majority of those in the "high-risk group." Participants with a monthly income of more than ¥ 4,000 and nursing 1-2 older adults simultaneously represented the majority of those in the "low-risk group." CONCLUSION: Long-term care facility administrators should tailor interventions to individual care worker profiles to reduce neglect behaviors and improve care levels.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。