Suppr超能文献

慢性病中的希望之源。

Sources of hope in chronic illness.

作者信息

Raleigh E D

机构信息

College of Nursing and Health, Madonna University, Livonia, MI.

出版信息

Oncol Nurs Forum. 1992 Apr;19(3):443-8.

PMID:1594466
Abstract

Patients with many types of diagnosis find that hope is an important strategy in coping with their illness. One purpose of this study was to identify and explore the sources that patients with chronic illnesses report as being supportive of their hope. Another purpose was to determine if the sources differ between patients with cancer and patients with other chronic illnesses. A combination of Stotland's work on hope and Lazarus and Folkman's work on coping formed the conceptual framework for this study. Ninety patients, 45 with cancer and 45 with other chronic illnesses, were interviewed using an investigator-developed interview guide. Using chi-square and t-test analyses, no statistically significant differences were found between patients with cancer and patients with other chronic illnesses in any responses to the interview questions. The most commonly reported sources for supporting hopefulness were family, friends, and religious beliefs. Patients were able to identify specific ways in which these sources helped to support their hope. The majority of patients reported positive attitudes about their illnesses, with transient periods of lowered hope related to illness. They also described specific cognitive or behavioral strategies used for maintaining hope. The results of this study provide additional insight into the coping strategies of adults with a chronic illness.

摘要

患有多种诊断疾病的患者发现,希望是应对疾病的一项重要策略。本研究的一个目的是识别和探究慢性病患者报告的有助于支撑其希望的来源。另一个目的是确定癌症患者和其他慢性病患者的希望来源是否存在差异。斯托特兰关于希望的研究以及拉扎勒斯和福克曼关于应对的研究相结合,构成了本研究的概念框架。使用研究者编制的访谈指南对90名患者进行了访谈,其中45名患有癌症,45名患有其他慢性病。通过卡方检验和t检验分析,在对访谈问题的任何回答中,癌症患者和其他慢性病患者之间均未发现具有统计学意义的差异。最常被报告的支撑希望的来源是家人、朋友和宗教信仰。患者能够确定这些来源帮助支撑其希望的具体方式。大多数患者对自己的疾病持积极态度,不过与疾病相关的希望偶尔会有短暂下降。他们还描述了用于维持希望的具体认知或行为策略。本研究结果为患有慢性病的成年人的应对策略提供了更多见解。

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