J Korean Acad Nurs.  2013 Dec;43(6):770-780. 10.4040/jkan.2013.43.6.770.

Analysis of Factors Affecting Unmet Healthcare Needs of Married Immigrant Women

Affiliations
  • 1College of Nursing, Graduate School, Yonsei University, Seoul, Korea.
  • 2College of Nursing, Institute of Health Services Research, Yonsei University, Seoul, Korea. cylee@yuhs.ac

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.

Keyword

Immigrant; Women; Unmet healthcare need

MeSH Terms

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
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