Evidence map›Paper›PMID 38264410›Full record

ArticleJournal of multidisciplinary healthcare2024

Using a Mixed-Method Approach to Explore the Factors Influencing the Family Resilience of Stroke Survivors in China.

Kunjing Han, Yiping Chen, Min Li, Liping Cui

Abstract read
In one paragraph

Article in Journal of multidisciplinary healthcare, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Kunjing Han *Department of Nursing, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, 030032, People's Republic of China.
Yiping Chen *School of Nursing, Shanxi Medical University, Jinzhong, Shanxi Province, People's Republic of China.
Min LiSchool of Nursing, Shanxi Medical University, Jinzhong, Shanxi Province, People's Republic of China.
Liping CuiDepartment of Nursing, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Third Hospital of Shanxi Medical University, Taiyuan, 030032, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Stroke is a critical public health issue in China that necessitates a closer examination of family resilience (defined here as the collective capacity of individuals, families and communities to effectively navigate challenges, recover from adverse events and foster positive adaptation). Amid rising stroke incidence, this study addresses the dearth of research on family resilience among stroke survivors in China, aiming to assess its level, identify influencing factors and establish coping strategies for family caregivers. Methods: This mixed-methods research employed a sequential explanatory design. Questionnaires were distributed to 258 stroke survivors and their family members at outpatient follow-up visits. In the first stage (ie the quantitative research stage), the research tools for data collection included a general demographic sociological data questionnaire, the Family Resilience Assessment Scale (FRAS), the Self-Efficacy for Managing Chronic Disease 6-Item Scale, the Caregiver Burden Scale, the Family Functioning Scale and the Social Support Rating Scale. Quantitative data were analysed using IBM SPSS 26.0 software, utilising descriptive statistics for summarising sociodemographic characteristics and conducting analyses, such as independent-sample Results: A total of 242 families responded to the questionnaire (response rate: 93.8%). In total, the mean age of stroke survivors was 61.86 ± 8.76 years old, and 69.8% were male. The quantitative results showed that the FRAS mean score was (185.33 ± 24.78), which was above the medium level. The multiple linear regression analysis confirmed that family function was the strongest influencing factor on family resilience ( Conclusion: This hybrid study sheds light on the adaptation process of the families of stroke survivors, revealing family function as the primary influencer of resilience. Recognising that eliminating risk factors is challenging, our suggestion is for clinical practitioners to emphasise family strengths and implement resilience-oriented interventions. Focusing on enhancing coping abilities and fostering adaptation within families can aid in the rehabilitation process, promoting the well-being and growth of both the family unit and individual members, while alleviating caregiver burden.

Indexed as

mixed-methodqualitative researchquantitative researchresiliencestroke

Identifiers

PMID38264410
PMCPMC10804964

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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.