Who cares for the carers? Development of an educational resource: identification, prevention and mitigation of burnout for psychiatric nurses in Newfoundland and Labrador Health Services
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
Background: Psychiatric nurses are often exposed to critical and traumatic events, as well as workplace violence, which can lead to burnout. This can place a substantial burden on patients, nurses themselves, and therefore, the whole health care system. Few interventions and resources have been studied or are available in practice settings to assist nurses in identifying, preventing and mitigating burnout. Purpose: To develop an educational resource to assist psychiatric nurses in identifying, preventing and mitigating burnout. Methods: A comprehensive literature review, an environmental scan, and consultations were conducted to inform the development of an educational resource to assist psychiatric nurses in identifying, preventing and mitigating burnout. Results: The literature review revealed contributing factors to psychiatric nurse burnout and interventions to address psychiatric nurse burnout. The environmental scan yielded few useful resources, yet informed the inclusion of available content, while the consultations identified psychiatric nurses’ perceptions on burnout and informed the educational modality and content preferences. Conclusion: A pocketbook educational resource was developed for psychiatric nurses to aid in identifying, preventing and mitigating psychiatric nurse burnout. A plan to advertise the pocketbook resource at the Western Memorial Regional Hospital will be established.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| 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 it