“You do it for the patient”: a qualitative analysis of changes to primary care nurses’ workplace demands and resources during the COVID-19 pandemic in Canada
Bibliographic record
Abstract
Introduction: Primary care in Canada was an essential component of the COVID-19 pandemic response, as well as continued provision of routine care. Yet, primary care settings were inadequately supported during the pandemic, leaving clinicians feeling vulnerable and overwhelmed. Existing pandemic research has focused on the health workforce broadly or those working in acute care settings. Accordingly, we sought to understand the personal and professional experiences of nurses working in primary care settings in Canada during the COVID-19 pandemic to inform future pandemic responses and health workforce planning that account for primary care nurses' mental and physical needs. Methods: We conducted semi-structured interviews with licensed and registered practical nurses, registered nurses, and nurse practitioners working in primary care in four Canadian provinces: British Columbia, Newfoundland and Labrador, Nova Scotia, and Ontario. Interviews were recorded, transcribed, and thematically analyzed. Results: We interviewed 76 primary care nurses about their pandemic experiences. Using the National Academy of Medicine's systems model of clinician burnout and professional wellbeing, we categorized participants' experiences according to their job demands and job resources. These data describe how COVID-19 altered primary care nurses' professional experiences across a variety of areas, often with implications for their wellbeing. Discussion: Prior to the pandemic, primary care nurses could rely on their job resources to protect against the demands they regularly encounter; however, many of these resources were negatively affected by the pandemic. Improved pandemic preparedness, including primary care-specific supports to promote physical and psychological safety, workflow efficiency, worker rest and recovery, and preservation of primary care capacity are needed to uphold primary care nurse wellbeing during a pandemic or other extended health emergencies.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".