How does family resilience develop among stroke survivors and their caregivers? A mixed-method study using a chain mediating model.

Int J Nurs Stud Adv

Department of Basic Teaching and Research in General Medicine, Department of Fundamentals, Zhuhai Campus of Zunyi Medical University, Guangdong, China.

Published: December 2024

AI Article Synopsis

  • Walsh's family resilience theory highlights how families can build resilience during crises, but there's a gap in understanding this among Chinese stroke survivors and their caregivers.
  • The study aims to examine both the direct and indirect relationships impacting family resilience in this context, exploring factors like social support and self-efficacy.
  • Results from a survey of 379 stroke survivors identified key variables affecting resilience, with additional qualitative interviews revealing insights into how families adapt and support each other through challenges.*

Article Abstract

Background: Walsh's family resilience theory indicated that families could foster resilient outcomes among their members when they are facing changes or crises. However, little is known about family resilience among Chinese stroke survivors and their caregivers.

Objectives: To explore the direct and indirect relationships between the family resilience of stroke survivors, perceived social support, self-perceived burden, self-efficacy, and the burden on their principal caregivers, and to examine the journey of adapting to family resilience among stroke survivors.

Design: An explanatory sequential mixed-method study.

Methods: A quantitative assessment of perceived social support, self-perceived burden, self-efficacy, and family resilience was conducted among a cohort of stroke survivors. For a deeper understanding of the family resilience formation process, semi-structured, in-depth interviews were undertaken with a purposefully selected subset of participants, consisting of 15 stroke survivors and their principal caregivers who met the study criteria. Data analysis encompassed descriptive statistics, mediation models, and content analysis to integrate and interpret both quantitative and qualitative data.

Results: In a comprehensive hospital in Guangdong Province, China, 379 participants-229 men (60.4%) and 150 women (39.6%)-completed a cross-sectional questionnaire survey. The quantitative phase revealed significant statistical differences ( < 0.05) in total family resilience scores among stroke survivors related to various factors, such as age, marital status, educational level, occupational status, average monthly income per capita, first-time onset, and types of stroke. Self-perceived burden and self-efficacy partially mediate the relationship between perceived social support and family resilience, contributing to a sequential chain-mediated effect. During the qualitative phase, in-depth interviews revealed a progressive trajectory from the initial shock of diagnosis through the ongoing presence of stress and challenges to the ultimate development of family resilience and an adaptive perspective toward the future.

Conclusions: Exploring the factors influencing family resilience in stroke survivors could assist healthcare professionals developing interventions to enhance family resilience and lessen the burden on principal caregivers from individual, family, and social perspectives.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11465215PMC
http://dx.doi.org/10.1016/j.ijnsa.2024.100246DOI Listing

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