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德国医院环境中临终对话准备度(REOLC)量表的验证

Validation of the Readiness for End-of-Life Conversations (REOLC) scale in a German hospital setting.

作者信息

Berlin Pia, Seifart Carola, von Blanckenburg Pia

机构信息

Department of Psychology, Philipps-University of Marburg, Germany.

Department of Medicine, Research Group Medical Ethics, Philipps-University of Marburg, Germany.

出版信息

PEC Innov. 2022 May 2;1:100045. doi: 10.1016/j.pecinn.2022.100045. eCollection 2022 Dec.

Abstract

OBJECTIVE

For every health behavior, readiness to engage is a necessary and crucial foundation for following conversations, interventions or behavior changes. The present study aims to support a one-factor structure for the Readiness for End-of-Life Conversations (REOLC) scale (Berlin et al., 2021) in a population of cancer patients ( = 295).

METHODS

For validation purposes, data of patients participating in a screening development study at a university clinic was used. Model adequacy was analyzed with structural equation modelling and controlled for with goodness of fit indices: χ-test, SRMR, rRMSEA. Discriminant and convergent validity were assessed with correlations of REOLC and psychological or health behavior measures.

RESULTS

Factor structure was supported with good fit indices, discriminant validity and convergent validity. Readiness correlated significantly with age and reported death anxiety.

CONCLUSION

The REOLC scale is a reliable instrument to assess cancer patients' readiness for end-of-life conversations. Future studies may further address moderating and mediating effects of socio-demographic, medical and psychological factors.

INNOVATION

The assessment of readiness may further indicate anxiety levels of cancer patients and enables practitioners to provide interventions accordingly. However, in a clinical setting and especially for patients with a palliative prognosis, end-of-life care conversations may need to be introduced early.

摘要

目的

对于每一种健康行为而言,参与意愿都是后续对话、干预措施或行为改变的必要且关键的基础。本研究旨在支持临终对话准备度(REOLC)量表(柏林等人,2021年)在癌症患者群体(n = 295)中的单因素结构。

方法

为进行验证,使用了在一家大学诊所参与筛查开发研究的患者数据。通过结构方程模型分析模型适配度,并用适配度指标进行控制:χ检验、SRMR、rRMSEA。通过REOLC与心理或健康行为测量指标的相关性评估区分效度和聚合效度。

结果

因素结构得到了良好的适配度指标、区分效度和聚合效度的支持。准备度与年龄和报告的死亡焦虑显著相关。

结论

REOLC量表是评估癌症患者临终对话准备度的可靠工具。未来的研究可以进一步探讨社会人口学、医学和心理因素的调节和中介作用。

创新点

对准备度的评估可能进一步表明癌症患者的焦虑水平,并使从业者能够据此提供干预措施。然而,在临床环境中,尤其是对于预后为姑息治疗的患者,临终关怀对话可能需要尽早引入。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/27e3/10194301/f8a7f2994a7d/gr1.jpg

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