Analysis of Factors Affecting Unmet Healthcare Needs of Married Immigrant Women.
10.4040/jkan.2013.43.6.770
- Author:
Su Hee KIM
1
;
Chung Yul LEE
Author Information
1. College of Nursing, Graduate School, Yonsei University, Seoul, Korea.
- Publication Type:Original Article ; English Abstract
- Keywords:
Immigrant;
Women;
Unmet healthcare need
- MeSH:
Adolescent;
Adult;
Aged;
Aged, 80 and over;
Emigrants and Immigrants/*psychology/*statistics & numerical data;
Female;
*Health Services Needs and Demand;
Health Status;
Humans;
Logistic Models;
Middle Aged;
Odds Ratio;
Questionnaires;
Socioeconomic Factors;
Spouses/psychology/*statistics & numerical data;
Women/*psychology;
Young Adult
- From:Journal of Korean Academy of Nursing
2013;43(6):770-780
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
PURPOSE: The purpose of this study was to identify the factors affecting the unmet healthcare needs of married immigrant women. METHODS: This study was a secondary data analysis using data from the 2009 National Survey of Multicultural Families. Data collected from 58,735 married immigrant women who had spouses were analyzed using descriptive statistics, Chi-square test, and logistic regression. RESULTS: Overall, 9.9% of married immigrant women have unmet healthcare needs. The significant predictors related to unmet healthcare needs were young age, high level of education, employed, country of origin, long period of residence, low income, uninsured, urban area, low level of subjective health status, and illness experience over past two weeks. In particular, four variables (long period of residence, low income, subjective health status, and illness experience over past two weeks) significantly predicted unmet healthcare needs for women from all countries of origin. CONCLUSION: The results of the study indicate that common predictors related to unmet healthcare needs of married immigrant women are a long period of residence, low income, subjective health status, and illness experience over past two weeks. Therefore intervention strategies to decrease unmet healthcare needs should focus on these significant predictors.
