Patient and physician satisfaction in a clinical study of telemedicine in a hypertensive patient population
Bibliographic record
Abstract
We studied patient and physician satisfaction with telemedicine for the care of a hypertensive population. Once recruited, participants were seen both in person and via telemedicine (in random order) on the same day. After each meeting, patient and physician satisfaction surveys were completed. In the 12-month study, there were 107 pairs of visits. The physicians reported a small but significant increase in workload, mental effort, technical skills and visit duration for telemedicine when compared with face-to-face consultations. They noted that the telemedicine system worked well in the majority of cases and could reduce the need for future treatment. Patients reported slightly but significantly higher satisfaction scores for the following for in-person than for telemedicine meetings: technical quality, interpersonal care and time spent. Patients reported high satisfaction scores for both telemedicine and in-person visits.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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".