The rise of telemedicine in primary care: understanding patients’ and healthcare workers’ perspectives on acceptability of the COVID-19 remote care model
Bibliographic record
Abstract
Background. Remote monitoring of vital signs combined with teleconsultations has been proposed as an effective method of care for COVID-19 patients. However, the acceptability of the remote care model has yet to be explored. Objectives. to explore patients' and healthcare workers' views and experiences with the COVID-19 remote care programme using the theoretical Framework of acceptability (tFa) and identify challenges for further dissemination. Material and methods. a qualitative study was conducted with 25 patients and 5 healthcare workers from three primary care centres in Slovenia who participated in the COVID-19 remote care programme. In-depth interviews, informed by the tFa, were conducted by phone or face-to-face, recorded and transcribed verbatim. transcripts were analysed by two independent researchers using a template content analysis guided by seven tFa domains, with the possibility of inductively adding codes from the text as needed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.023 | 0.039 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.005 | 0.009 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".