Teledermatology in times of COVID‐19
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
Remote consultations are likely to grow in importance in the following years, especially if the coronavirus disease 2019 (COVID-19) pandemic continues. Patients' opinions on teledermatology have already been analyzed, but a current analysis during the COVID-19 pandemic is lacking. The purpose of this survey was to investigate the satisfaction of patients who had received dermatological advice via telephone during the COVID-19 pandemic and to analyze their general opinion about eHealth as well as possible limitations for a broad implementation. Ninety-one patients managed in the dermatology department using telephone consultation during the COVID-19 pandemic were interviewed. An anonymous questionnaire, including the established quality of life questionnaire (Dermatology Life Quality Index [DLQI]), was used. It was found that men were more satisfied with telephone consultations than women (p = 0.029), educational level and age did not correlate with satisfaction (p = 0.186 and 388, respectively), and the longer the waiting time for a telephone consultation, the lower the satisfaction (p = 0.001). Grouped analysis of all participants showed that the majority (54.0% n = 38/71) were "very happy" with the telephone consultation. Higher disease burden (DLQI) was associated with lower satisfaction (p = 0.042). The main stated reasons for using telemedicine were shorter waiting times (51.6% n = 47/91) and no travel requirement (57.1% n = 47/91). Almost one-quarter (23.1% n = 21/89) of patients would use teledermatology in the future, 17.6% (n = 16/89) would not, and 57.1% (n = 51/89) would only use it in addition to a traditional consultation with personal contact. In conclusion, most patients in the study group still preferred traditional face-to-face medical consultations to telephone consultations, but also desired an add-on telemedical tool. Dermatological care using more modern telemedicine technologies than telephone conferencing is needed to better address patients' desires, especially in times of the COVID-19 pandemic.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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