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KMID : 0367020190310020123
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Journal of Korean Academic of Adult Nursing
2019 Volume.31 No. 2 p.123 ~ p.135
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Factors related to Family Support for Hemodialysis Patients: A Systematic Review and Meta-analysis
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Chae Young-Ran
Lee Sun-Hee
Jo Young-Mi
Kang Hyo-Young
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Abstract
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Purpose: This study was conducted to explore the factors related to family support for hemodialysis patients.
Methods: Preferred Reporting Items Systematic Reviews and Meta-Analysis (PRISMA) flow diagram was used to select 18 studies in Korea for systematic review and meta-analysis. The Effect Sizes of correlation coefficients (ESr) were determined through Fisher’s Z transformation.
Results: The systematic review revealed 31 factors that affect family support(including socio-economic and disease-specific factors) and 23 factors that are influenced by family support (including socio-psychological factors and physiological indicators). In the meta-analysis, 18 factors (10 socio-economic and disease-specific factors and 8 psychological factors and physiological indicators) were used. The socio-economic factors that significantly affected family support were type of medical insurance, perceived economic state, marital status, primary care giver, living together, family monthly income, education level, and job state. Disease-specific factors such as frequency of dialysis per week did not have a significant impact on family support. Family support had a positive influence over patients’ self efficacy (ESr=.56), quality of life (ESr=.48), self-esteem(ESr=.42), fatigue (ESr=-.32), sick role behavior (ESr=.32), and depression (ESr=-.24).
Conclusion: This study showed that economic status and family characteristics of hemodialysis patients in Korea affect the level of family support that patients receive, and family support promotes patients’ positive psychology and sick role behavior. The results of this study provide useful information in developing family support intervention programs for hemodialysis patients.
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KEYWORD
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Renal dialysis, Social support, Systematic review, Meta-analysis
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