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开发维罗纳编码情感序列定义,以对健康提供者对患者线索和关注点的反应进行编码(VR-CoDES-P)。

Development of the Verona coding definitions of emotional sequences to code health providers' responses (VR-CoDES-P) to patient cues and concerns.

机构信息

Department of Medicine and Public Health, Section of Psychiatry and Clinical Psychology, University of Verona, Policlinico G.B. Rossi General Hospital, Piazzale L.A. Scuro 10, 37134 Verona, Italy.

出版信息

Patient Educ Couns. 2011 Feb;82(2):149-55. doi: 10.1016/j.pec.2010.02.024. Epub 2010 Mar 25.

DOI:10.1016/j.pec.2010.02.024
PMID:20346609
Abstract

OBJECTIVE

To present a method to classify health provider responses to patient cues and concerns according to the VR-CoDES-CC (Del Piccolo et al. (2009) [2] and Zimmermann et al. (submitted for publication) [3]). The system permits sequence analysis and a detailed description of how providers handle patient's expressions of emotion.

METHODS

The Verona-CoDES-P system has been developed based on consensus views within the "Verona Network of Sequence Analysis". The different phases of the creation process are described in detail. A reliability study has been conducted on 20 interviews from a convenience sample of 104 psychiatric consultations.

RESULTS

The VR-CoDES-P has two main classes of provider responses, corresponding to the degree of explicitness (yes/no) and space (yes/no) that is given by the health provider to each cue/concern expressed by the patient. The system can be further subdivided into 17 individual categories. Statistical analyses showed that the VR-CoDES-P is reliable (agreement 92.86%, Cohen's kappa 0.90 (±0.04) p<0.0001).

CONCLUSION

Once validity and reliability are tested in different settings, the system should be applied to investigate the relationship between provider responses to patients' expression of emotions and outcome variables.

PRACTICE IMPLICATIONS

Research employing the VR-CoDES-P should be applied to develop research-based approaches to maximize appropriate responses to patients' indirect and overt expressions of emotional needs.

摘要

目的

根据 VR-CoDES-CC(Del Piccolo 等人,2009 [2];Zimmermann 等人,提交出版 [3]),介绍一种根据医疗服务提供者对患者暗示和担忧的反应对其进行分类的方法。该系统允许进行序列分析,并详细描述提供者如何处理患者表达的情绪。

方法

Verona-CoDES-P 系统是基于“Verona 序列分析网络”内部的共识观点开发的。详细描述了创建过程的不同阶段。对从 104 次精神科咨询中方便抽取的 20 次访谈进行了可靠性研究。

结果

VR-CoDES-P 有两种主要的提供者反应类别,对应于医疗服务提供者对患者表达的每个暗示/担忧的明确程度(是/否)和空间(是/否)。该系统可进一步细分为 17 个单独的类别。统计分析表明,VR-CoDES-P 是可靠的(一致性为 92.86%,Cohen 的 kappa 为 0.90(±0.04),p<0.0001)。

结论

在不同环境中验证有效性和可靠性后,应将该系统应用于研究提供者对患者表达情感的反应与结果变量之间的关系。

实践意义

应采用研究型方法应用 VR-CoDES-P 开展研究,以最大程度地对患者间接和明显的情感需求做出适当的反应。

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