Satisfaction with and perceived cultural competency of healthcare providers: the minority experience.
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
It is well known that nonwhite minority participation in clinical research is lower than their representation in the community. The goal of this study was to assess satisfaction of minority community members in Omaha with the care received and cultural competency of healthcare providers. We sought input from Omaha minority communities on how to improve the care they received and asked why they did not participate in healthcare research. Seventy-two minority members representing African Americans, Hispanic Americans, Native Americans, Sudanese, and Vietnamese; and eight whites were surveyed. The results of this study indicated that the majority of our respondents were satisfied with the care they received, but for a small percentage, language, communication and/or culture contributed to dissatisfaction. In addition, some respondents did not think the provider was culturally competent, i.e., not sufficiently knowledgeable about their racial, ethnic and/or cultural background. Some participants indicated that they preferred a provider of similar racial, ethnic and/or cultural background, and/or thought some diseases were better treated by a provider of the same racial, ethnic and/or cultural background. Regardless of the cultural competency of the provider, the overwhelming majority of our respondents (with the exception of African Americans) indicated a willingness to participate in healthcare research. In conclusion, this study found that satisfaction with healthcare providers was not associated with perceived cultural competency and that the cultural competency of the provider did not affect patient willingness to participate in healthcare research; however, we acknowledge that the Hawthorne effect may be in operation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| 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 | 0.000 |
| 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 it