Examining perceived barriers to healthcare access for Hispanics in a southern urban community
Bibliographic record
Abstract
Background: Disparities in healthcare access among Hispanics in the U.S. continue to rise as a result of contextually based social determinants of health. The purpose of this study was to examine the perceived barriers to primary healthcare access among Hispanics residing in an underserved, urban region of Louisville, Kentucky.Methods: Guided by critical ethnographic methods, twenty participants were interviewed using a descriptive survey and semistructured interview guide to assess perceived access barriers. Descriptive and analytic coding, and content analysis techniques were used to identify emerging categories, concepts and themes.Results: Persistent barriers to healthcare access were related to time and availability, healthcare personnel and patient-provider communication; documentation; limited income and health insurance coverage; and, discrimination and cultural barriers.Conclusions: Findings inform healthcare systems by identifying the subjective and socially constructed barriers to healthcare access and promoting programs and policies to eliminate access barriers for Hispanics.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| 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".