基层护士对"互联网+护理服务"的风险感知的预测模型的构建和评估:一个多中心的跨部门研究
Peiran Guo1,2, Yuting Tan1,2, Li Feng3
1Tianyou Hospital, Wuhan University of Science and Technology, Wuhan, Hubei, People's Republic of China.
Journal of multidisciplinary healthcare
|September 25, 2024
概括
基层护士认为"互联网+护理服务"由于安全性和知识等因素,具有中高风险. 预测模型可以帮助解决这些对老龄化人口的担忧.
科学领域:
- 老年学和人口老龄化 卫生健康
- 数字健康与远程医疗
- 护理实践和医疗保健提供
背景情况:
- "互联网+护理服务"为人口老龄化提供解决方案,农村护士是主要提供者.
- 了解护士的风险感知对于成功实施这些数字健康服务至关重要.
- 影响基层护士风险感知的因素需要进行调查.
研究的目的:
- 分析影响基层护士对"互联网+护理服务"风险感知因素.
- 为基层护士的风险感知构建一个预测模型.
- 评估模型的预测准确性和临床实用性.
主要方法:
- 一项多中心的横截面研究,涉及2050名来自中国湖北省的护士.
- 通过使用多阶段集群抽样采用匿名问卷收集的数据.
- 二元物流回归和名ogram构造用于识别风险因素和预测感知.
主要成果:
- 51.95%的护士认为"互联网+护理服务"具有中高风险.
- 独立的风险因素包括年龄,收入,知识,个人安全,身体功能,职业暴露,心理社会和时间风险.
- 开发的名图表显示出强大的预测能力 (AUC=0.939),校准良好,具有临床价值.
结论:
- 基层护士认为"互联网+护理服务"是有风险的,受到多种因素的影响.
- 构建的预测模型有效地识别了那些认为这些服务具有风险的护士.
- 建议包括建立统一的收费标准和加强安全保证,以减轻护士的担忧.
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