Public knowledge and attitude towards drug-food interactions: implications for improved public health safety
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
Drug-Food Interaction (DFI) can potentially lead to treatment ineffectiveness and adverse health outcomes. This study investigated knowledge and attitude towards DFI and the associated factors. A validated questionnaire was distributed to 2040 participants across Jordan. The participants had moderate knowledge and attitudes regarding DFIs. Regression results revealed that male gender, lower education level, not working in the healthcare sector, and utilizing non-scientific sources of information about DFIs were associated with lower knowledge about DFI. Furthermore, male gender, being unmarried, having a low or moderate education level, not working in the healthcare sector, not having a family member with chronic disease, and having low knowledge of DFI were significantly associated with negative attitudes towards DFIs. Future health education programs should emphasize using reliable scientific sources to enhance awareness about DFIs'. Additionally, healthcare professionals should counsel patients on avoiding DFIs and provide guidance accordingly.
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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 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 it