根据信息-动机-行为技能模型,预测新诊断的COPD成年人缺乏自我管理行为:
Xiaomei Chen1,2, Jia Liu2, Yuxuan He2
1Department of Nursing, Chengdu Wenjiang District People's Hospital, Chengdu, China.
BMC public health
|April 12, 2025
概括
新诊断的慢性阻塞性肺部疾病 (COPD) 患者往往难以自我管理. 这项研究开发了一种使用认知功能,患者激活和抑郁症的风险预测模型,以确定那些面临不良自我管理行为高风险的人.
科学领域:
- 肺部医学 肺部医学
- 健康行为研究 研究健康行为研究
- 临床预测建模临床预测建模
背景情况:
- 自主管理对于控制慢性阻塞性肺病 (COPD) 进展至关重要.
- 目前,评估新诊断的COPD患者的自我管理能力是具有挑战性的.
- 需要一个预测模型来识别患有不良自我管理风险的患者.
研究的目的:
- 开发和验证一种风险预测模型,用于新诊断的COPD患者的不良自我管理行为.
- 使用信息-动机-行为技能 (IMB) 模型作为理论框架.
- 为了确定不良自我管理行为的关键预测因素.
主要方法:
- 一项前性队列研究,涉及331名新诊断的COPD患者.
- 数据收集包括认知功能,社会支持,虚弱,抑郁/焦虑症状和患者激活.
- 多变量逻辑回归和名ogram构造用于模型开发和可视化.
- 外部验证和ROC曲线分析评估了模型性能.
主要成果:
- 68.3%的参与者表现出不良的自我管理行为.
- 认知功能,患者激活和抑郁症是显著的独立预测因素.
- 开发的名图表显示出高的预测准确性 (AUC=0.945在开发中,0.898在验证中).
结论:
- 建立了一个经过验证的风险预测模型和名图,用于识别新诊断的COPD患者的不良自我管理行为.
- 该模型有效地结合了易于获得的因素:认知功能,患者激活和抑郁症.
- 这种工具可以帮助高风险的COPD人群进行早期查和干预.
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