家庭护理人员的互联网随机行为和情感福祉:一种自然语言处理方法
Shaowei Liu1,2, Junyao Zheng1,3, Fan Yang1,4
1School of International and Public Affairs, Shanghai Jiao Tong University, Shanghai, China.
概括
互联网利他主义行为 (IABs),如痴呆症护理人员之间的支持和分享,可以改善提供者,接收者和团体的情感福祉. 这种数字支持增强了家庭护理人员的福祉.
科学领域:
- 数字健康数字健康
- 在线社区 在线社区
- 护理人员支持护理人员支持
背景情况:
- 痴呆症患者的家庭照顾者面临着重大的情感负担.
- 在线支持小组提供了一个连接和互助的平台.
- 了解这些群体内的数字利他主义对于幸福至关重要.
研究的目的:
- 在痴呆症照顾者支持小组中识别互联网利他主义行为 (IAB) 的类型.
- 检查IAB与提供者,接收者和团体层面的情感福祉之间的关联.
- 探索数字利他主义在提高护理人员福祉方面的作用.
主要方法:
- 自然语言处理 (NLP) 分析了来自上海护理人员支持小组的25 024条微信消息.
- 罗伯塔模型确定了IAB类型;情绪分析量化了情感福祉.
- 线性混合效应模型测试了IAB和情感福祉之间的关联.
主要成果:
- 三个IAB类别出现了:互联网支持,指导和提醒,和共享.
- 在各个层面 (提供者,接收者,团体) 上,IAB对情感福祉产生了积极的影响.
- 互联网支持和指导/提醒改善了接收者的福祉;所有IAB都提高了提供者的福祉.
结论:
- 对数字互动的NLP分析加深了对数字利他主义对护理人员幸福感的影响的理解.
- 调查结果支持在线护理者社区的IAB增强机制.
- 促进情感支持,指导和知识共享可以改善照顾者的情感福祉.
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