Influence of COVID 19 on patients/parents fears, schooling after lock down and use of telemedicine in a German pediatric diabetes center
Bibliographic record
Abstract
Objectives: To analyze the influence of COVID 19 Pandemia on fear of patients and parents, schooling after lock down and use of telemedicine. Methods: The abstract presents preliminary data of an ongoing survey because late bracking abstracts are not planned for the meeting. The questionnaire includes 6 questions of general aspects (age, treatment, kind of school, who answers the questions) 7 items regarding fears of infection, fears of problems in supply with material and insulin, 2 items regarding problems with restarting school or kindergarden, and 5 items regarding telemedicine in pandemia. All data were analyzed as descriptive data. At least 250 questionnaires will be analyzed finally. Results: Till now 99 participants (62 parents and 37 adolescents answered) were analyzed. The mean age of the group was 12 years, 53% used CSII 46%injection therapy. 28 participants were afraid of getting a corona infection. Even more (40%) were afraid of problems with a corona infection because of diabetes. Information about potential problems were drawn from press (19%), www (13%), social networks (4%), experts (3%). One quarter was afraid of shortness in supply with material, these families increased their stock at home. Even more (35%) were afraid of problems with insulin supply, half of them increased the stock of insulin. Only a few families reported problems with going back to school (15%), many because of fears of the school due to higher risk with diabetes. 60% used a telemedicine offer especially to reduce contact. However only 35% would use a permanent offer for telemedicine. Most families appreciate personal outpatient contact (86%). Conclusions: Many families report fears of COVID infection especially in the light of having diabetes. Even more are afraid of shortage in supply for diabetes treatment. Telemedicine was well accepted in the time of lock down, after this patients however prefer personal contact in the outpatient clinic.
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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 | 0.000 | 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 | 0.000 |
| 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".