Lived Experience of Health Seeking and Healthcare Utilization Among Korean Immigrant Women Living in Suburban Communities
Bibliographic record
Abstract
Despite the rapid increase in Korean immigrant women in the United States, research on healthcare utilization and health-seeking behavior among Korean immigrant women is limited. The present study was designed to understand the health-seeking behavior and healthcare utilization of premenopausal Korean immigrant women living in suburban communities in the United States. The study was designed and guided by interpretive hermeneutic phenomenology. Twenty participants were recruited from suburban communities in Western New York. Individual, semistructured interviews were conducted and analyzed using a team approach. Korean immigrants experienced difficulties using the US healthcare system and significant differences between the US and Korean healthcare systems. They actively sought health information through local ethnic networks, using the Internet, and they relied on self-management that was based on Korean traditional medicine. They also utilized Korean healthcare services whenever they visited Korea. They resided in-between spaces of two healthcare systems that included both geographic and cultural space. They carefully calculated usefulness, cost-effectiveness, convenience, familiarity, and accessibility to make choices between the two. This study emphasizes the importance of minimizing structural and cultural barriers to healthcare access for new immigrants. Ethnic networks and media could be utilized as an informational reservoir to promote various healthcare resources, disseminate information, and navigate new immigrants through a complex healthcare system.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".