Workplace Challenges and Support Needs Experienced by Nurse Leaders in Home and Community Care During the COVID-19 Pandemic: A Qualitative Study
Bibliographic record
Abstract
The COVID-19 pandemic had unprecedented impacts on the wellbeing of home care workers. Responsive leadership is a key facilitator for positive perceptions of work and reduced turnover intentions. Yet, the impact of the pandemic on nurse leaders working in home and community care remains to be explored. To describe the workplace experiences of point-of-care nurse leaders in the home and community care sector in Ontario, Canada during the COVID-19 pandemic. Semi-structured interviews were conducted with 8 nurse leaders in home care and analyzed thematically. Four overarching themes developed: (1) Inspired to lead-participants sought leadership roles to amplify their impact on client care, provider experience and the healthcare system. (2) Pandemic leadership challenges-leaders struggled to adapt to new pandemic-related workload demands, including unprecedented needs for staff well-being support. (3) Strategies to improve well-being-the personal toll of the pandemic was mitigated for some by maintaining personal boundaries and by strong support from peers and senior leaders. (4) Lessons learned-leaders expressed pride in their pandemic responses and professional growth through this time. They identified opportunities for stronger workplace structures to support them to excel in their roles. These experiences highlight the opportunity to better support nurse leaders in home and community care settings by creating work structures which promote healthy workplace boundaries, enable connections, and facilitate peer-to-peer information sharing. Such structures can support nurse leaders to thrive in their roles and continue to act as vital sources of support to their teams.
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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 | 0.000 |
| 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".