Effect of COVID-19 Pandemic on the Levels of Empathy among Undergraduate Dental Students in Pakistan
Bibliographic record
Abstract
Abstract Objective The purpose of our study is to determine the effect of coronavirus disease 2019 (COVID-19) on the levels of empathy toward patients among undergraduate dental students in Pakistan. Materials and Methods A cross-sectional, survey-based study was conducted at Islamic International Dental College, Islamabad, Pakistan. After taking an informed consent, a validated and pretested Toronto Empathy Questionnaire (TEQ) was distributed amongst the undergraduate dental students at two points, one before the COVID-19 existed, and the other after August 7th, 2020, when the COVID-19 cases dropped in Pakistan. Responses were indicated on a five point Likert Scale. Statistical Analysis A one-way ANOVA (analysis of variance) was used to compare the TEQ scores between the different years of education at the dental school. Difference within the groups was analyzed using the post-hoc Tukey test. Pre- and post-COVID-19 comparison was done using the Chi-square test (significance level p < 0.05). Results A total of 221 out of 260 students in the pre-COVID-19 group, while 210 out of 260 students in the post-COVID-19 group enrolled in the dentistry program participated in the study. Significant difference in the empathy levels was observed in the pre- and post-COVID-19 groups of the same population, i.e., (p < 0.05). The response rate was 85%. Conclusions This study showed an increase in mean empathy scores among the undergraduate dental students after COVID-19, indicating a significant improvement in their empathy levels during the time of COVID-19. It highlights the impact of the pandemic, whereby death and chaos seem to have brought about an improvement in interpersonal harmony.
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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 | 0.002 | 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) | 0.000 | 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".