Evidence map›Paper›PMID 41179786›Full record

ArticleFrontiers in public health2025

The influence of caregiver preparedness, perceived social support and general self-efficacy on self-contribution among stroke caregivers: a cross-sectional study.

Hui Teng, Zhou Tan, Mengni Zhen, Qingxia Shu

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Hui Teng *School of Medicine, Jishou University, Jishou, China.
Zhou Tan *School of Medicine, Jishou University, Jishou, China.
Mengni ZhenDepartment of Neurology and Cerebrovascular Intervention, Hunan University of Medicine General Hospital, Huaihua, China.
Qingxia ShuDepartment of Neurology and Cerebrovascular Intervention, Hunan University of Medicine General Hospital, Huaihua, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Caregivers' self-care contributions are crucial for enhancing stroke patients' self-care capabilities, and patients receiving family support often demonstrate higher treatment adherence. Although it is widely recognized that caregivers' preparedness to provide care positively influences self-care contributions, the underlying mechanisms of this association remain unclear. This study aims to explore the mechanisms through which caregiver preparedness, perceived social support, and general self-efficacy influence caregiver readiness and self-care contribution among stroke caregivers in the contemporary Chinese context. Aim: Based on the Individual and Family Self-Management Theory (IFSMT) model, this study examined the effects of caregivers' caregiving preparedness, perceived social support, and general self-efficacy on their self-care contribution among stroke caregivers. Design: A cross-sectional study. Methods: Using convenience sampling, 277 stroke caregivers from four tertiary Grade A hospitals in Xiangxi, Hunan Province, China were surveyed with paper-based questionnaires during outpatient follow-up visits in July 2024. Data were analyzed using SPSS/AMOS for descriptive statistics, Pearson correlation, multiple regression, and structural equation modeling with bootstrapping to test hypothesized relationships and mediation effects. Results: The self-care contribution was at a moderate level, showing significant positive correlations with caregiving preparedness, perceived social support, and general self-efficacy. Both perceived social support and general self-efficacy demonstrated partial mediating effects between caregiving preparedness and self-care contribution. Conclusion: Improving caregivers' self-care contribution requires focused attention on enhancing caregiving preparedness, perceived social support, and general self-efficacy. The study highlights the bridging role of perceived social support and general self-efficacy between preparedness and contribution. Clinical interventions should: ① strengthen preparedness through standardized training, ② build social support networks for psychological empowerment, and ③ employ motivational interviewing to boost self-efficacy, thereby establishing a virtuous cycle of "knowledge-resources-confidence".

Indexed as

CaregiversSelf CareSelf EfficacySocial SupportStrokeAdultAgedChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedSurveys and Questionnairescaregiver preparednessgeneral self-efficacyperceived social supportself-contributionstroke

Identifiers

PMID41179786
PMCPMC12571603

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.