Sickness presenteeism: The prevalence of coming to work while ill among paediatric resident physicians in Canada
Bibliographic record
Abstract
BACKGROUND: Sickness presenteeism is defined as the act of attending one's job despite ill-health. Recently, physicians and other health care workers have become the focus of sickness presenteeism research, because presenteeism in this population can put patients at risk of infection. There are currently no data on this topic among physicians in Canada. The aim of this study was to investigate sickness presenteeism in paediatric resident physicians in Canada. METHODS: We conducted an anonymous, online, cross-sectional survey study in which all paediatric residents in Canada were eligible. Outcomes of interest included prevalences of sickness presenteeism, sickness during the study period and voluntary self-appointed personal protective equipment use when engaging in sickness presenteeism. RESULTS: Response rate was 56.5% (N=323). During the previous 2 months, 61% (95% confidence interval [CI] 55.7 to 66.3) of respondents reported having experienced an illness and 59% (95% CI 53.7 to 64.5) of respondents had come to work sick. Of those who reported becoming ill during the study period, 97.0% (95% CI 94.6 to 99.4) reported coming to work while sick. There was no difference in prevalence when comparing across post-graduate year training levels. Extra personal protective equipment was used by 86% (95% CI 82.1 to 91.7) when engaging in sickness presenteeism. CONCLUSION: Sickness presenteeism is a common phenomenon among paediatric resident physicians. Our results should influence residents and supervising staff physicians to encourage appropriate self-care at home, rather than presenteeism.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| 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".