通过自我调节的常识模型 (CSM) 探索喘息的经验
Kylie N Johnston1, Rebecca Burgess1, Slavica Kochovska2
1Allied Health and Human Performance, Innovation, IMPlementation and Clinical Translation in Health (IIMPACT), University of South Australia, Adelaide, SA 5001, Australia.
Healthcare (Basel, Switzerland)
|June 28, 2023
概括
患有慢性呼吸困难的个体利用个人经验和外部信息对自己的情况形成信念. 了解这些认知和情绪表征是有效的病人护理的关键.
科学领域:
- 呼吸系统医学 呼吸系统医学
- 心理学 心理学 心理学
- 定性研究是指质量研究.
背景情况:
- 慢性喘息是一种复杂的症状,影响许多健康状况.
- 常识自我调节模型 (CSM) 为理解疾病感知提供了一个框架.
- CSM对喘息的应用,特别是信息整合,尚未得到充分研究.
研究的目的:
- 探索慢性呼吸不良患者的呼吸不良信仰,期望和语言偏好.
- 研究如何应用常识自我调节模型 (CSM) 来理解这些表示.
- 确定影响呼吸困难认知和情感表现的因素.
主要方法:
- 描述性的定性研究设计.描述性的定性研究设计.
- 针对21名患有慢性呼吸困难的社区居民进行了有目的的抽样.
- 半结构面试以CSM组件为指导,然后进行演和归纳内容分析.
主要成果:
- 出现了19个分析类别,详细介绍了认知和情感喘息的表现.
- 代表性是由个人经验和外部信息 (卫生专业人员,互联网) 塑造的.
- 有助或无助内涵的特定语言 (单词/短语) 影响了这些表示.
结论:
- 常识模型 (CSM) 为研究喘息提供了一个有价值的理论框架.
- 了解患者的信念和期望对于管理慢性喘息至关重要.
- 卫生专业人员可以利用CSM来探索和解决患者呼吸困难的表现.
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