The experience of mutual support during hospitalization of co-morbid couples with recurrent older stroke survivors - A descriptive phenomenological study

被引:0
作者
Zhang, Qingqing [1 ]
Ge, Song [2 ]
Zhang, Zhenxiang [1 ]
Wang, Wenru [3 ]
Wang, Shanshan [4 ]
Yoong, Si Qi [3 ]
Lin, Beilei [1 ]
Mei, Yongxia [1 ]
机构
[1] Zhengzhou Univ, Sch Nursing & Hlth, 101 Sci Ave, Zhengzhou 450001, Henan, Peoples R China
[2] Univ Houston Downtown, Dept Nat Sci, Houston, TX 77002 USA
[3] Natl Univ Singapore, Alice Lee Ctr Nursing Studies, Yong Loo Lin Sch Med, Singapore, Singapore
[4] Hong Kong Polytech Univ, Sch Nursing, Hong Kong, Peoples R China
关键词
Stroke survivor; Spouse caregiver; Co-morbid; Mutual support; Hospitalization; Descriptive phenomenology; Qualitative research; QUALITY-OF-LIFE; DEPRESSIVE SYMPTOMS; FAMILY CAREGIVER; HEALTH; CARE; CHALLENGES; SPOUSES; RISK;
D O I
10.1016/j.gerinurse.2024.06.048
中图分类号
R592 [老年病学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 100203 ;
摘要
The phenomenon of the experiences of mutual support of co-morbid couples of recurrent older stroke survivors during hospitalization is receiving increased interest from nursing scholars. However, little is known about how they support each other. The aim of this study was to explore the experiences of co-morbid couples of older stroke survivors with recurrent stroke who support each other during hospitalization. A descriptive phenomenology study was employed. 21 co-morbid couples with recurrent older stroke survivors were recruited. The interviews were analyzed with Colaizzi's descriptive analysis framework. Three themes emerged from the data analysis: (1) maintaining the couple's relationship through mutual support, (2) mutual support so as not to drag the children down, and (3) providing support while struggling between ideals and reality. It is crucial to provide them with individualized, tailored support and interventions that can help these couples achieve a more optimal balance in their mutual support. (c) 2024 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
引用
收藏
页码:187 / 195
页数:9
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