Palliative care for people who use substances during communicable disease epidemics and pandemics: a scoping review protocol
Bibliographic record
Abstract
INTRODUCTION: Communicable disease epidemics and pandemics magnify the health inequities experienced by marginalised populations. People who use substances suffer from high rates of morbidity and mortality and should be a priority to receive palliative care, yet they encounter many barriers to palliative care access. Given the pre-existing inequities to palliative care access for people with life-limiting illnesses who use substances, it is important to understand the impact of communicable disease epidemics and pandemics such as COVID-19 on this population. METHODS AND ANALYSIS: We will conduct a scoping review and report according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews reporting guidelines. We conducted a comprehensive literature search in seven bibliographical databases from the inception of each database to August 2020. We also performed a grey literature search to identify the publications not indexed in the bibliographical databases. All the searches will be rerun in April 2021 to retrieve recently published information because the COVID-19 pandemic is ongoing at the time of this writing. We will extract the quantitative data using a standardised data extraction form and summarise it using descriptive statistics. Additionally, we will conduct thematic qualitative analyses and present our findings as narrative summaries. ETHICS AND DISSEMINATION: Ethics approval is not required for a scoping review. We will disseminate our findings to healthcare providers and policymakers through professional networks, digital communications through social media platforms, conference presentations and publication in a scientific journal.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".