Benefit finding in first-ever young and middle-aged patients who had a stroke and their spousal caregivers in China: a longitudinal mixed-methods study protocol.

Benefit finding in first-ever young and middle-aged patients who had a stroke and their spousal caregivers in China: a longitudinal mixed-methods study protocol.
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DOI:
10.1136/bmjopen-2022-062859
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发表时间:
2022-11-14
期刊:
影响因子:
2.9
通讯作者:
--
中科院分区:
医学3区
文献类型:
--
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中风造成的全球负担正在向年轻人和中年人转移。研究人员强调了利益发现(BF)在心理健康中的重要性。然而,目前的研究很少关注中风,并讨论BF仅从一个单一的角度,即,无论是病人或照顾者。本研究旨在了解脑卒中患者和照顾者的BF变化轨迹、预测因素和双向交互作用。本研究是一项纵向、混合方法、多中心研究。共有142名中风患者和142名配偶照顾者将接受调查。参与者将从中国北方的四家大型公立医院招募。将在5个时间点(出院前和出院后1、3、6和12个月)收集定量和定性数据。在定量研究中将使用经过验证和可靠的问卷。将从二人组中收集有关社会人口学数据、BF、功能状态、感知压力、应对方式和相互性的信息。将通过半结构化访谈和观察收集定性数据。增长混合模型将用于分析定量数据,Colaizzi的七步分析法将用于分析定性数据。我们计划进行平行但独立的定量和定性数据分析,并最终整合数据集以确定确认,扩展或不一致。将向所有参与者提供知情同意书。本研究将对所有可识别数据进行编码,并将所有记录的数据存储在安全的研究服务器上。本研究已获得郑州大学护理与健康学院伦理审查委员会批准(ZZUIRB 2020 -53)。纵向研究的结果将发表在同行评审的期刊上,并在国家会议上提出。ChiCTR 2000039509。
The global burden caused by stroke is shifting to young and middle-aged people. Researchers have emphasised the significance of benefit finding (BF) in psychological health. However, current research has paid little attention to stroke and has discussed BF from only a single perspective, that is, that of either patients or caregivers. Our study aims to understand the changing trajectory, predictors and dyadic interaction of BF in dyads of patient who had a stroke and caregiver. This study is a longitudinal mixed-methods, multicentre study. A total of 142 patients who had a stroke and 142 spousal caregivers will be investigated. Participants will be recruited from four large public hospitals in northern China. Quantitative and qualitative data will be collected at five time points (near discharge and 1, 3, 6 and 12 months following discharge). Validated and reliable questionnaires will be used in quantitative studies. Information on sociodemographic data, BF, functional status, perceived stress, coping styles and mutuality will be collected from the dyads. Qualitative data will be collected via semistructured interviews and observations. The growth mixture model will be used to analyse quantitative data, and Colaizzi’s seven-step analysis method will be used to analyse qualitative data. We plan to conduct parallel but separate quantitative and qualitative data analyses and ultimately integrate the data sets to determine confirmation, expansion or discordance. All participants will be provided with an informed consent form. This study will encode all identifiable data and store all recorded data on a secure research server. This study has been approved by the Ethics Review Committee of the College of Nursing and Health, Zhengzhou University (ZZUIRB2020-53). The results of the longitudinal study will be published in peer-reviewed journals and presented at national conferences. ChiCTR2000039509.
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