Developing a meta-understanding of ‘human aspects’ of providing palliative care
Bibliographic record
Abstract
Objectives: Our intention was to develop a meta-understanding of the ‘human aspects’ of providing palliative care. Integral to developing this meta-understanding was recognising the individuality of people, their varied involvements, situations, understandings, and responses, and the difficulty in stepping back to get a whole view of this while being in the midst of providing palliative care. We intended for this meta-understanding to inform reflections and sense-making conversations related to people’s changing situations and diverse needs. Methods: Using collaborative inquiry, this qualitative research was undertaken ‘with’ clinicians rather than ‘on’ them. Our team ( n = 7) was composed of palliative care clinicians and researchers from a co-located rural health service and university. We explored our personal perceptions and experiences through a series of 12 meetings over 8 months. In addition, through five focus groups, we acccessed perceptions and experiences of 13 purposively sampled participants with a range of roles as carers and/or healthcare providers. Data were dialogically and iteratively interpreted. Findings: Our meta-understanding of ‘human aspects’ of providing palliative care, represented diagrammatically in a model, is composed of ATTRIBUTES OF HUMANITY and ACTIONS OF CARING. ATTRIBUTES OF HUMANITY are death’s inevitability, suffering’s variability, compassion’s dynamic nature, and hope’s precariousness. ACTIONS OF CARING include recognising and responding, aligning expectations, valuing relationships, and using resources wisely. The meta-understanding is a framework to keep multiple complex concepts ‘in view’ as they interrelate with each other. Significance of findings: Our meta-understanding, highlighting ‘human aspects’ of providing palliative care, has scope to embrace complexity, uncertainty, and the interrelatedness of people in the midst of resourcing, requiring, and engaging in palliative care. Questions are posed for this purpose. The non-linear diagrammatic representation of ATTRIBUTES OF HUMANITY and ACTIONS OF CARING facilitates multiple ways of engaging and revisiting palliative care situations or navigating changes within and across them.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".