Investigating Health Equity and Healthcare Needs among Immigrant Women Using the Association Rule Mining Method.
Ming-Hseng TsengHui-Ching WuPublished in: Healthcare (Basel, Switzerland) (2021)
Equitable access to healthcare services is a major concern among immigrant women. Thus, this study investigated the relationship between socioeconomic characteristics and healthcare needs among immigrant women in Taiwan. The secondary data was obtained from "Survey of Foreign and Chinese Spouses' Living Requirements, 2008," which was administered to 5848 immigrant women by the Ministry of the Interior, Taiwan. Additionally, descriptive statistics and significance tests were used to analyze the data, after which the association rule mining algorithm was applied to determine the relationship between socioeconomic characteristics and healthcare needs. According to the findings, the top three healthcare needs were providing medical allowances (52.53%), child health checkups (16.74%), and parental knowledge and pre- and post-natal guidance (8.31%). Based on the association analysis, the main barrier to the women's healthcare needs was "financial pressure." This study also found that nationality, socioeconomic status, and duration of residence were associated with such needs, while health inequality among aged immigrant women was due to economic and physical factors. Finally, the association analysis found that the women's healthcare problems included economic, socio-cultural, and gender weakness, while "economic inequality" and "women's health" were interrelated.
Keyphrases
- healthcare
- polycystic ovary syndrome
- mental health
- pregnancy outcomes
- cervical cancer screening
- public health
- health information
- breast cancer risk
- cross sectional
- machine learning
- metabolic syndrome
- primary care
- type diabetes
- mass spectrometry
- physical activity
- climate change
- south africa
- high resolution
- adipose tissue
- artificial intelligence
- deep learning
- high speed