J Korean Soc Matern Child Health.  2021 Apr;25(2):99-108. 10.21896/jksmch.2021.25.2.99.

Intervention for Married Immigrant Women in Korea: A Systematic Review

• Lee SJ
• Jin X
• Lee S

• KMID: 2515647
• DOI: http://doi.org/10.21896/jksmch.2021.25.2.99

Abstract

Purpose
This study aimed to review the intervention programs designed for married immigrant women living in Korea.
Methods
A total of 39 articles published from 2010 to 2020 were selected and analyzed using domestic and international web-based academic databases according to a systematic literature review procedure. The selected studies were evaluated for quality according to RoB (Risk of Bias) and RoBANS (Risk of Bias for Non-randomized studies). Additionally, intervention programs and outcome variables were based on the Nursing Intervention Classification (NIC) and Nursing Outcome Classification (NOC) system.
Results
According to the NIC categories, 69.2% of the interventions were in the behavioral domain, and 23.1% were in the family domain. The outcome variables primarily measured in NOC categories were psychological well-being (45.8%), health knowledge (11.0%), and health belief (10.2%). The quality of the selected studies was low overall in random sequence generation, allocation concealment, blinding of participants and personnel, and blinding of outcome data in randomized controlled trials (RCT) studies and confounding variables, blinding of outcome data, and incomplete outcome bias in non-RCT studies.
Conclusion
Based on the results of this study, future studies will have to consider the characteristics of the subjects, life cycle, daily life, or language limitations. In addition, it is necessary to develop high-quality programs through continuous research on currently and frequently used interventions and outcome variables and on other various mediations and to verify the outcome variables.

Keyword

Systematic review, Immigrants, Women, Intervention studies

Figure

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  Fig. 1. Flowchart of document identification and selection process.

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  Fig. 2. Risk of bias graph for randomized controlled studies.

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