Palliative care interventions for people who use substances during communicable disease outbreaks: a scoping review
Bibliographic record
Abstract
Objectives When resources are strained during communicable disease outbreaks, novel palliative care interventions may be required to optimally support people who use substances with life-limiting illnesses. Therefore, we asked the question, ‘what is known about communicable disease outbreaks, palliative care and people who use substances? ’, such as palliative care interventions that can improve the quality of life of patients with life-limiting illnesses. Design We conducted a scoping review that involved comprehensive searches in six bibliographic databases from inception to April 2021 (Medline ALL (Medline and Epub Ahead of Print and In-Process and Other Non-Indexed Citations), Embase Classic+Embase, Cochrane Database of Systematic Reviews, Cochrane Central Register of Controlled Trial, PsycInfo all from the OvidSP platform, Scopus from Elsevier) and grey literature searches. We included English and French records about people ≥18 years old with life-limiting illnesses who use substances during communicable disease outbreaks. We identified, summarised and presented the findings about palliative care interventions in figures, tables and narrative descriptions. Results We identified 32 records about palliative care interventions for people who use substances during communicable disease outbreaks. The majority focused on palliative care for people who use substances with AIDS during HIV epidemics (n=27, 84.4%), and approximately half were published in the USA (n=15, 46.9%). Most common substances used were alcohol (n=18, 56.3%), opioids (n=14, 43.8%) and cocaine (n=10, 31.3%). Four groups of palliative care interventions were identified: (1) symptom management (n=20, 62.5%), (2) psychosocial support (n=15, 46.9%), (3) advance care planning (n=8, 25.0%) and (4) healthcare provider training (n=6, 18.8%). Conclusions Beyond studies on HIV epidemics, there is limited knowledge about palliative care interventions for people who use substances during communicable disease outbreaks. Research and guidance are needed about how best to provide palliative care to this population with complex needs including in resource-limited countries. Protocol Buchman DZ, Ding P, Lo S, et al . Palliative care for people who use substances during communicable disease epidemics and pandemics. BMJ Open 2021; 11: e053124
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.012 | 0.061 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.005 |
| Bibliometrics | 0.012 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".