The experience of delirium in palliative care settings for patients, family, clinicians and volunteers: A qualitative systematic review and thematic synthesis
Bibliographic record
Abstract
BACKGROUND: Delirium is common in palliative care settings and is distressing for patients, their families and clinicians. To develop effective interventions, we need first to understand current delirium care in this setting. AIM: To understand patient, family, clinicians' and volunteers' experience of delirium and its care in palliative care contexts. DESIGN: Qualitative systematic review and thematic synthesis (PROSPERO 2018 CRD42018102417). DATA SOURCES: The following databases were searched: CINAHL, Cochrane Database of Systematic Reviews, Database of Abstracts of Reviews of Effects, Embase, MEDLINE and PsycINFO (2000-2020) for qualitative studies exploring experiences of delirium or its care in specialist palliative care services. Study selection and quality appraisal were independently conducted by two reviewers. RESULTS: = 3). Three major themes were identified: interpretations of delirium and their influence on care; clinicians' responses to the suffering of patients with delirium and the roles of the family in delirium care. Nursing staff and other clinicians had limited understanding of delirium as a medical condition with potentially modifiable causes. Practice focused on alleviating patient suffering through person-centred approaches, which could be challenging with delirious patients, and medication use. Treatment decisions were also influenced by the distress of family and clinicians and resource limitations. Family played vital roles in delirium care. CONCLUSIONS: Increased understanding of non-pharmacological approaches to delirium prevention and management, as well as support for clinicians and families, are important to enable patients' multi-dimensional needs to be met.
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.
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 | 0.175 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.008 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".