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Unmet Healthcare Needs and Related Factors Among Immigrants: A Cross-Sectional Secondary Analysis of 2019 Korea Community Health Survey Data

Immigrants in Korea face numerous difficulties in seeking medical services due to language and cultural differences. Providing medical services to them could be beyond the institutional capacity of the host country owing to factors such as, physical and psychological problems, social unrest, languag...

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Autores principales: Park, SookKyoung, Kim, Hye Young, Lee, Young-Me
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9834933/
https://www.ncbi.nlm.nih.gov/pubmed/36625003
http://dx.doi.org/10.1177/00469580221146828
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author Park, SookKyoung
Kim, Hye Young
Lee, Young-Me
author_facet Park, SookKyoung
Kim, Hye Young
Lee, Young-Me
author_sort Park, SookKyoung
collection PubMed
description Immigrants in Korea face numerous difficulties in seeking medical services due to language and cultural differences. Providing medical services to them could be beyond the institutional capacity of the host country owing to factors such as, physical and psychological problems, social unrest, language barriers, and problems adapting to unfamiliar environments. According to Andersen’s health service use behavioral model, we used a multifaceted approach to explore the factors influencing the unmet healthcare needs of immigrants in Korea from the Korean health system. This cross-sectional secondary analysis study used data from the 2019 Korea Community Health Survey of 3524 immigrants. Their unmet healthcare needs were calculated using a complex, weighted sample design. Group differences in categorical variables were analyzed using the Rao-Scott chi-square test. Logistic regression analysis was used to analyze the association between unmet healthcare needs and ageing factors. Overall, 262 (7.4%) of surveyed immigrants experienced unmet healthcare needs. Factors influencing unmet healthcare needs were being a woman (OR = 1.41, 95% CI = 1.03-1.94), national primary livelihood security receiver (OR = 1.44, 95% CI = 1.29-1.68), stress (OR = 1.34, 95% CI = 1.26-1.45), perceived health status (poor: OR = 2.35, 95% CI = 1.58-3.52), and perceived health status (moderate: OR = 1.62, 95% CI = 1.18-2.20). Policymakers could focus on these predictors when formulating policy strategies to reduce unmet health care needs. In addition, by effectively delivering services that meet the unmet healthcare needs of immigrants, their right to health is protected.
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spelling pubmed-98349332023-01-13 Unmet Healthcare Needs and Related Factors Among Immigrants: A Cross-Sectional Secondary Analysis of 2019 Korea Community Health Survey Data Park, SookKyoung Kim, Hye Young Lee, Young-Me Inquiry Original Research Immigrants in Korea face numerous difficulties in seeking medical services due to language and cultural differences. Providing medical services to them could be beyond the institutional capacity of the host country owing to factors such as, physical and psychological problems, social unrest, language barriers, and problems adapting to unfamiliar environments. According to Andersen’s health service use behavioral model, we used a multifaceted approach to explore the factors influencing the unmet healthcare needs of immigrants in Korea from the Korean health system. This cross-sectional secondary analysis study used data from the 2019 Korea Community Health Survey of 3524 immigrants. Their unmet healthcare needs were calculated using a complex, weighted sample design. Group differences in categorical variables were analyzed using the Rao-Scott chi-square test. Logistic regression analysis was used to analyze the association between unmet healthcare needs and ageing factors. Overall, 262 (7.4%) of surveyed immigrants experienced unmet healthcare needs. Factors influencing unmet healthcare needs were being a woman (OR = 1.41, 95% CI = 1.03-1.94), national primary livelihood security receiver (OR = 1.44, 95% CI = 1.29-1.68), stress (OR = 1.34, 95% CI = 1.26-1.45), perceived health status (poor: OR = 2.35, 95% CI = 1.58-3.52), and perceived health status (moderate: OR = 1.62, 95% CI = 1.18-2.20). Policymakers could focus on these predictors when formulating policy strategies to reduce unmet health care needs. In addition, by effectively delivering services that meet the unmet healthcare needs of immigrants, their right to health is protected. SAGE Publications 2023-01-09 /pmc/articles/PMC9834933/ /pubmed/36625003 http://dx.doi.org/10.1177/00469580221146828 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research
Park, SookKyoung
Kim, Hye Young
Lee, Young-Me
Unmet Healthcare Needs and Related Factors Among Immigrants: A Cross-Sectional Secondary Analysis of 2019 Korea Community Health Survey Data
title Unmet Healthcare Needs and Related Factors Among Immigrants: A Cross-Sectional Secondary Analysis of 2019 Korea Community Health Survey Data
title_full Unmet Healthcare Needs and Related Factors Among Immigrants: A Cross-Sectional Secondary Analysis of 2019 Korea Community Health Survey Data
title_fullStr Unmet Healthcare Needs and Related Factors Among Immigrants: A Cross-Sectional Secondary Analysis of 2019 Korea Community Health Survey Data
title_full_unstemmed Unmet Healthcare Needs and Related Factors Among Immigrants: A Cross-Sectional Secondary Analysis of 2019 Korea Community Health Survey Data
title_short Unmet Healthcare Needs and Related Factors Among Immigrants: A Cross-Sectional Secondary Analysis of 2019 Korea Community Health Survey Data
title_sort unmet healthcare needs and related factors among immigrants: a cross-sectional secondary analysis of 2019 korea community health survey data
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9834933/
https://www.ncbi.nlm.nih.gov/pubmed/36625003
http://dx.doi.org/10.1177/00469580221146828
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