Health Inequities and Moral Distress Among Community Health Nurses During the COVID-19 Pandemic
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The core values of community health nursing practice are rooted in the social determinants of health, health equity and social justice. Throughout the COVID-19 pandemic, community health nurses (CHNs) witnessed first-hand the impact on individuals in situations of marginalization. This research inquiry explored how health inequities among client populations contributed to experiences of MD among CHNs in Canada during the pandemic. A total of 245 CHNs from across Canada participated in an online survey. Participants reported that during the pandemic individuals living in situations of marginalization were disproportionately impacted. CHNs were unable to provide the necessary health promotion interventions and experienced high levels of moral distress. The negative impact of the pandemic on individuals living in situations of marginalization illuminated the intersecting social and structural inequities that drive negative health outcomes and emphasized the need to adopt an equity focus for current and future pandemic planning, response, and recovery.
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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 | 0.018 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.030 | 0.014 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.014 |
| 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 it