The effect of education on patients' willingness to participate in a telemedicine study
Bibliographic record
Abstract
We assessed the effect of previous education on patients' willingness to participate in a clinical study of telemedicine for hypertensive patients. The design was a cross-sectional study of adult patients arriving for appointments in a hypertension clinic. Of the 259 patients approached, 86% completed a baseline survey and were subsequently asked if they would be willing to participate in a one-year telemedicine study. One hundred and fifty patients (58%) agreed to participate. A stepwise logistic regression analysis was performed to assess the effect of level of education on willingness to participate, while controlling for potentially confounding variables. In the final model, only education remained significant. The odds ratio for non-participation of patients with high-school education or less was 3.6 (95% confidence interval 1.9-7.0). Educational status should be carefully considered when designing, implementing and interpreting telemedicine studies.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 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".