Dental personnel in Israel, Canada, and France during the COVID-19 pandemic: attitudes, worries, emotional responses, and posttraumatic growth.
Bibliographic record
Abstract
OBJECTIVES: The spread of COVID-19 has posed significant challenges for dental professionals worldwide. The aims of the present study were twofold: (i) to study the attitudes, emotional responses, and worries among the dental personnel; and (ii) to look for the ability of dental personnel to experience posttraumatic self-growth as a result of the distress caused by the pandemic. METHOD AND MATERIALS: A cross-sectional online survey using an anonymous questionnaire was performed simultaneously in Israel, Canada, and France during the initial lockdown period. RESULTS: Israeli dental practitioners were less worried about their physical health, mental health, or relationships with family and friends than their Canadian and French counterparts. The Canadian dental practitioners were most committed and most willing to treat their patients, as well as most concerned about not being able to treat patients in the same personal way as before the lockdown. French dental practitioners showed the highest level of fear to treat patients. There were no differences in dental practitioners' levels of anxiety, depression, or posttraumatic growth among the countries. Dental practitioners' posttraumatic growth was significantly associated with worries regarding their physical health. CONCLUSION: Responses of dental personnel to the COVID-19 pandemic varied worldwide. Despite the differences, evidence exists that some of the dental practitioners' worries and concerns are associated with psychologic growth as a result of the pandemic. Better understanding and acknowledgment of dental personnel's worries and concerns can facilitate growth and enable positive functioning under the continuous situation of uncertainty.
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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 | 0.003 |
| 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) | 0.000 | 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".