A Culturally Sensitive Health Care Practice Model — Theory Construction and Its Testing
Bibliographic record
Abstract
The major purpose of this paper was to develop a model for the use of complementary and alternative health care options. Chinese-American families were selected due to their large proportion among all ethnic populations in the United States. Andersen's (1973 and 1995) perception of predisposing and enabling was adopted to test study variables singly and interactively on their health care use. The dependent variable was defined as health behavior preference towards Chinese treatment (also known as complementary and alternative medicine treatment) or Western treatment, and a combination of Chinese and Western treatment (also known as integrative medicine treatment). Data were randomly collected from 240 adult Chinese-American respondents out of 1080 members of the Chinese American Association in the greater Cleveland area. Findings both in the full and partial research models reveal that the factors contributing the most to their medical preferences were their acculturation level and health beliefs. Inter-generational differences in health care use were also discussed.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".