Suppr超能文献

医患交流中相互理解的评估:多元文化全科医疗环境下相互理解量表(MUS)的开发与验证

Assessment of mutual understanding of physician patient encounters: development and validation of a Mutual Understanding Scale (MUS) in a multicultural general practice setting.

作者信息

Harmsen J A M, Bernsen R M D, Meeuwesen L, Pinto D, Bruijnzeels M A

机构信息

Department of Health Policy and Management, Erasmus MC, University Medical Center, P.O. Box 1738, 3000 DR Rotterdam, The Netherlands.

出版信息

Patient Educ Couns. 2005 Nov;59(2):171-81. doi: 10.1016/j.pec.2004.11.003. Epub 2004 Dec 21.

Abstract

Mutual understanding between physician and patient is essential for good quality of care; however, both parties have different views on health complaints and treatment. This study aimed to develop and validate a measure of mutual understanding (MU) in a multicultural setting. The study included 986 patients from 38 general practices. GPs completed a questionnaire and patients were interviewed after the consultation. To assess mutual understanding the answers from GP and patient to questions about different consultation aspects were compared. An expert panel, using nominal group technique, developed criteria for mutual understanding on consultation aspects and secondly, established a ranking to combine all aspects into an overall consultation judgement. Regarding construct validity, patients' ethnicity, age and language proficiency were the most important predictors for MU. Regarding criterion validity, all GP-related criteria (the GPs perception of his ability to explain to the patient, the patient's ability to explain to the GP, and the patient's understanding of consultation aspects), were well-related to MU. The same can be said of patient's consultation satisfaction and feeling that the GP was considerate. We conclude that the Mutual Understanding Scale is regarded a reliable and valid measure to be used in large-scale quantitative studies.

摘要

医患之间的相互理解对于优质医疗护理至关重要;然而,双方对于健康问题和治疗有着不同的看法。本研究旨在开发并验证一种在多元文化背景下衡量相互理解(MU)的方法。该研究纳入了来自38家普通诊所的986名患者。全科医生(GPs)填写了一份问卷,患者在咨询后接受了访谈。为了评估相互理解,将全科医生和患者对不同咨询方面问题的回答进行了比较。一个专家小组采用名义小组技术,制定了咨询方面相互理解的标准,其次,建立了一个排名,将所有方面综合成一个整体咨询判断。关于结构效度,患者的种族、年龄和语言能力是相互理解的最重要预测因素。关于标准效度,所有与全科医生相关的标准(全科医生对其向患者解释的能力的认知、患者向全科医生解释的能力以及患者对咨询方面的理解)都与相互理解密切相关。患者对咨询的满意度以及感觉全科医生体贴周到也与相互理解密切相关。我们得出结论,相互理解量表被认为是一种可靠且有效的测量方法,可用于大规模定量研究。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验