Healthcare workers’ perception of gender and work roles during the COVID-19 pandemic: a mixed-methods study
Bibliographic record
Abstract
OBJECTIVES: A high functioning healthcare workforce is a key priority during the COVID-19 pandemic. We sought to determine how work and mental health for healthcare workers changed during the COVID-19 pandemic in a universal healthcare system, stratified by gender factors. DESIGN: A mixed-methods study was employed. Phase 1 was an anonymous, internet-based survey (7 May-15 July 2020). Phase 2 was semistructured interviews offered to all respondents upon survey completion to describe how experiences may have differed by gender identity, roles and relations. SETTING: National universal healthcare system (Canada). PARTICIPANTS: 2058 Canadian healthcare worker survey respondents (87% women, 11% men, 1% transgender or Two-Spirit), including 783 health professionals, 673 allied health professionals, 557 health support staff. Of the 63 unique healthcare worker types reported, registered nurses (11.5%), physicians (9.9%) and pharmacists (4.5%) were most common. Forty-six healthcare workers were interviewed. MAIN OUTCOME MEASURES: Reported pandemic-induced changes to occupational leadership roles and responsibilities, household and caregiving responsibilities, and anxiety levels by gender identity. RESULTS: Men (19.8%) were more likely to hold pandemic leadership roles compared with women (13.4%). Women (57.5%) were more likely to report increased domestic responsibilities than men (45%). Women and those with dependents under the age of 10 years reported the greatest levels of anxiety during the pandemic. Interviews with healthcare workers further revealed a perceived imbalance in leadership opportunities based on gender identity, a lack of workplace supports disproportionately affecting women and an increase in domestic responsibilities influenced by gender roles. CONCLUSIONS: The COVID-19 pandemic response has important gendered effects on the healthcare workforce. Healthcare workers are central to effective pandemic control, highlighting an urgent need for a gender-transformative pandemic response strategy.
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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 | 0.005 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".