Quebec Nurses’ Perceptions of the Integration of Sustainable Diet Promotion Into Clinical Appointments: A Qualitative Study
Bibliographic record
Abstract
Introduction: A sustainable diet is a diet that is respectful of ecosystems, culturally acceptable, accessible and healthy. It is considered as a promising avenue for optimizing health and reducing the impacts of food on the environment. Several nursing associations have demonstrated a growing concern for nurses’ involvement in environmental and climate change issues, including in promoting sustainable diet. However, the literature reveals a lack of data on why and how nurses could address sustainable diet in their clinical practice. Objective: The aim of this study was to explore clinical nurses’ perceptions of their role in the promotion of sustainable diet. Methods: A descriptive qualitative study was conducted based on 6 focus groups involving 20 nurses from 7 regions of the province of Quebec, Canada. Computer-assisted thematic analysis was conducted on verbatim transcripts. Results: The discussions revealed 3 major themes. First, some dimensions of sustainable eating are already implicitly addressed and nurses were theoretically open to make further. However, it was difficult to see how nurses could translate this interest into concrete action due to a lack of time and their other clinical priorities. Lastly, in order to do this, nurses need support from health organizations as well as clear guidelines, training and tools. Discussion and conclusion: Despite experts’ recommendations, many barriers and inadequacies between experts’ recommendations and nurses’ reality prevent the implementation of concrete initiatives toward the promotion of sustainable diet among nurses. Nurses are invited to get involved and contribute to the promotion of sustainable diet with a “bottom-up” approach.
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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 | 0.008 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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".