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养老院临终关怀:定性解释性元综合。

End-of-Life Care in Nursing Homes: A Qualitative Interpretive Meta-Synthesis.

机构信息

1 School of Social Work, College for Public Health and Social Justice, Saint Louis University , St. Louis, Missouri.

2 Providence Hospital of Seattle, Seattle, Washington.

出版信息

J Palliat Med. 2018 Apr;21(4):503-512. doi: 10.1089/jpm.2017.0211. Epub 2017 Dec 6.

Abstract

BACKGROUND

Due to large number of deaths occurring in nursing home (NH) settings, along with reports of pain and suffering, there is great need for improvements in the provision of end-of-life (EOL) care in NHs.

OBJECTIVE

The aim of this study was to develop a comprehensive understanding of the experience of dying in NHs through the perspective of residents, family, and facility staff.

DESIGN

This study uses a qualitative interpretive meta-synthesis to provide a holistic view of EOL care in NHs across multiple qualitative studies.

SETTING/SUBJECTS: Researchers synthesized the findings of 13 qualitative articles, including the diverse perspective of 91 dying residents, 419 NH staff, and 156 family members/caregivers across at least 44 NHs.

METHODS

A qualitative meta-synthesis employs the following steps: identification of studies, theme extraction, translation, and synthesis of findings.

RESULTS

Thematic analysis is organized using a conceptual model demonstrating the links between environmental and personal factors impacting EOL care in NHs.

CONCLUSIONS

Findings provide support for the importance of a relational community and culture change within NHs for positive EOL experiences, in addition to providing a model to guide future research priorities.

摘要

背景

由于养老院(NH)中大量死亡事件的发生,以及有关疼痛和苦难的报道,NH 中临终关怀(EOL)的提供急需改进。

目的

本研究旨在从居民、家庭和机构工作人员的角度全面了解 NH 中的临终体验。

设计

本研究采用定性解释性元综合方法,通过多项定性研究提供 NH 中 EOL 护理的整体视图。

设置/研究对象:研究人员综合了 13 篇定性文章的研究结果,包括 91 名临终居民、419 名 NH 工作人员和 156 名家属/护理人员在至少 44 家 NH 中的不同观点。

方法

定性元综合采用以下步骤:研究识别、主题提取、翻译和研究结果综合。

结果

主题分析使用概念模型组织,展示了影响 NH 中 EOL 护理的环境和个人因素之间的联系。

结论

研究结果支持 NH 中建立关系社区和文化变革的重要性,以获得积极的临终体验,同时为指导未来的研究重点提供了一个模型。

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