对医疗保健互动的编码工具的元叙事审查以及它们对书面通信的适用性
Elena Rey Velasco1,2, Hanne Sæderup Pedersen1, Ditte Hjorth Laursen2
1Department of Psychology, Faculty of Social Sciences, University of Copenhagen, Øster Farimagsgade 2A, 1353 Copenhagen K, Denmark.
PEC innovation
|September 15, 2023
概括
现有的医疗保健通信编码工具往往错过了患者的反应和书面交互. 需要使用情感和语法类别来增强工具,以改善患者提供者沟通和培训.
科学领域:
- 医学沟通 医学沟通
- 语言学的语言学.
- 医疗保健服务研究 医疗服务研究
背景情况:
- 医疗保健专业人员 (HCP) 的沟通技巧培训往往对患者来说不足.
- 目前用于HP-患者交互的编码工具忽视了交互动态和患者反.
- 远程咨询的兴起使得需要通过新的道评估沟通,包括书面互动.
研究的目的:
- 识别和评估医疗保健互动现有的编码工具.
- 评估这些工具是否适合在医疗保健环境中分析书面通信.
主要方法:
- 对六个数据库 (PubMed,PsycINFO,Embase,Web of Science,CINAHL,Scopus) 进行了一项元叙事审查.
- 搜索术语包括"沟通"",人类"",语言"和"专业-患者关系"的变化.
- 提取的数据涵盖了方法,分析单元,编码类别,可靠性,优点,缺点和评级者之间的可靠性 (IRR).
主要成果:
- 确定了11种混合方法工具,具有不同的定性 (专注与综合) 和定量方法.
- 分析的主要单位是发言 (n=7).
- 编码类别包括过程,内容,情绪表达/反应和语法格式,IRR从0.68到0.85.
结论:
- 识别的编码工具表现出不一致的术语和片面的关注,主要集中在主题和行为上.
- 结合情感和语法类别的工具可以改善患者-医疗保健人员沟通中预期含义的解释.
- 需要进一步的实证研究来验证这些工具对于分析书面医疗保健互动的适用性.
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