Outcomes of collaborative and interdisciplinary palliative education for health care assistants: A qualitative metasummary
Bibliographic record
Abstract
AIM: To explore collaborative and interdisciplinary palliative educational strategies and corresponding outcomes for health care assistants. BACKGROUND: Health care assistants are frontline staff who provide almost all hands-on care to seniors. Health care managers are responsible to provide ongoing support and a working environment conducive to health care assistants' abilities to provide quality, safe, evidence-based care. EVALUATION: A Qualitative metasummary of collaborative and interdisciplinary teaching strategies was conducted following guidelines developed by Sandelowski et al. (). KEY ISSUES: The gold standard of palliative care is interdisciplinary delivery of care, yet education is often monodisciplinary. Furthermore, evaluation of interdisciplinary continuing education is most often subjective via self-report questionnaires. CONCLUSIONS: Findings from 16 articles representing 15 studies conducted between 2007 and 2017 were grouped thematically and summarized. Collaborative or interdisciplinary palliative interventions offer health care assistants opportunities to debrief, build their confidence, and critically reflect on the importance of psychosocial care for patients, family and colleagues. IMPLICATIONS FOR NURSING MANAGEMENT: The metasummary provides six suggestions for managers who are considering implementing a collaborative palliative educational workshop and draws attention to the need to create contextual changes that support health care assistants to enact newly acquired knowledge and skills.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".