Complexity of Nurse Practitioners’ Role in Facilitating a Dignified Death for Long-Term Care Home Residents during the COVID-19 Pandemic
Why this work is in the frame
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Bibliographic record
Abstract
Due to the interplay of multiple complex and interrelated factors, long-term care (LTC) home residents are increasingly vulnerable to sustaining poor outcomes in crisis situations such as the COVID-19 pandemic. While death is considered an unavoidable end for LTC home residents, the importance of facilitating a good death is one of the primary goals of palliative and end-of-life care. Nurse practitioners (NPs) are well-situated to optimize the palliative and end-of-life care needs of LTC home residents. This study explores the role of NPs in facilitating a dignified death for LTC home residents while also facing increased pressures related to the COVID-19 pandemic. The current exploratory qualitative study employed a phenomenological approach. A purposive sample of 14 NPs working in LTC homes was recruited. Data were generated using semi-structured interviews and examined using thematic analysis. Three categories were derived: (a) advance care planning and goals of care discussions; (b) pain and symptom management at the end-of-life; and (c) care after death. The findings suggest that further implementation of the NP role in LTC homes in collaboration with LTC home team and external partners will promote a good death and optimize the experiences of residents and their care partners during the end-of-life journey.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 it