一个预测模型,用于老年人心力衰竭的药物坚持
Eun Ha Oh1, Chun-Ja Kim2, Elizabeth A Schlenk3
1Department of Cariology, St. Vincent's Hospital, Catholic University, Suwon, Korea.
European journal of cardiovascular nursing
|February 26, 2024
概括
这项研究发现,知识,社会支持和抑郁症状预测了心力衰竭老年人的药物坚持. 针对这些因素的干预措施可以改善遵守.
科学领域:
- 老年学是一门学科.
- 心脏病学 心脏病学
- 健康心理学 心理健康心理学
背景情况:
- 药物坚持 (MA) 对于老年人心力衰竭 (HF) 的管理至关重要.
- 在这个人群中预测MA需要强大的模型.
- 信息-动机-行为技能 (IMB) 模型提供了一个潜在的框架.
研究的目的:
- 根据IMB模型测试一个假设模型,预测老年人患有HF的MA,基于IMB模型.
- 检查知识,社会支持,抑郁症状,自我效能和MA之间的直接和间接关系.
主要方法:
- 对153名被诊断患有高频率肺炎的老年人 (≥65岁) 进行了横截面调查.
- 收集了IMB模型构造和MA的数据.
- 使用路径分析来评估假设模型.
主要成果:
- 自我有效性直接预测了MA (β = -0.335,P = 0.006).
- 社会支持和抑郁症状通过自我有效性间接影响了MA.
- 该模型解释了MA中64.4%的差异.
结论:
- IMB模型适用于预测患有HF的老年人中的MA.
- 干预措施应侧重于提高HF知识,社会支持和自我效能,同时缓解抑郁症状以改善MA.
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