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[医生传达坏消息:德国版MPP(患者偏好测量)问卷对癌症患者沟通偏好的研究]

[Communication Bad News by Physicians: The German Version of the MPP (Measure of Patients' Preferences) Questionnaire to the Communicative Preferences of Cancer Patients].

作者信息

Ernst J, Friedrich M, Lehmann C, Vehling S, Oechsle K, Koch U, Mehnert A

机构信息

Medizinische Psychologie und Medizinische Soziologie, Psychosoziale Onkologie, Universität Leipzig, Leipzig.

Hamburg, Deutsche Gesellschaft für Rehabilitationswissenschaften e.V., DGVT-Ausbildungszentrum Hamburg.

出版信息

Gesundheitswesen. 2016 Sep;78(8-09):520-5. doi: 10.1055/s-0034-1396849. Epub 2015 Feb 9.

DOI:10.1055/s-0034-1396849
PMID:25664906
Abstract

OBJECTIVES

Breaking bad news is as one of the most distressing tasks that doctors face with high demands on their communication and psychosocial skills. Patient preferences for communicating bad news influence the course of such consultations. The purpose of this study was to evaluate the psychometric characteristics of the German version of the Measure of Patients' Preferences (MPP), a questionnaire that has been validated in several international studies.

METHOD

Statistical analyses were performed in a sample of N=270 cancer patients during early treatment phase (mixed cancer entities, mean age 56.9 years, 46.7% female). In this prospective study with 2 assessment times, the factorial structure of the MPP-D was examined using principal components analysis with varimax rotation.

RESULTS

Factor analysis resulted in a 9-factor solution, the 3 factor structure of the original version was not replicated. Cronbachs α was>0.80 for 7 of the MPP-D subscales indicating good to excellent reliability.

CONCLUSION

Further psychometric testing and optimisation of the measure is recommended.

摘要

目的

传达坏消息是医生面临的最令人痛苦的任务之一,对他们的沟通和心理社会技能有很高要求。患者对于传达坏消息的偏好会影响此类会诊的过程。本研究的目的是评估德文版患者偏好量表(MPP)的心理测量特征,该问卷已在多项国际研究中得到验证。

方法

对N = 270名处于早期治疗阶段的癌症患者(癌症类型混合,平均年龄56.9岁,46.7%为女性)进行统计分析。在这项有两个评估时间点的前瞻性研究中,使用主成分分析和方差最大化旋转来检验MPP-D的因子结构。

结果

因子分析得出了一个9因子解决方案,未重现原始版本的3因子结构。MPP-D的7个分量表的Cronbach's α大于0.80,表明信度良好至优秀。

结论

建议对该量表进行进一步的心理测量测试和优化。

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