Defining “early palliative care” for adults diagnosed with a life-limiting illness: a scoping review
Bibliographic record
Abstract
BACKGROUND: Palliative care is for people suffering from life-limiting illnesses that focuses on providing relief from symptoms and stress of illness. Previous studies have demonstrated that specialist palliative care consultation delivered earlier in the disease process can enhance patients' quality of life, reduce their symptom burden, reduce use of hospital-based acute care services and extend their survival. However, various definitions exist for the term early palliative care (EPC). OBJECTIVE: To investigate how EPC has been defined in the literature for adults with life- limiting illnesses. METHODS: This review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) extension for Scoping Reviews guidelines and follows the Joanna Briggs Institution methodology for scoping reviews. The literature search was conducted using MEDLINE (Ovid), CINAHL (EBSCO), Embase (Ovid), PsycINFO (Ovid), Web of Science Core Collection, Ovid Cochrane Library, and ProQuest (Health and Medicine and Sociology Collections). All articles retrieved were screened by three independent reviewers. RESULTS: 153 articles met the inclusion criteria between 2008 and 2024. Five categories of definitions for EPC were created to organize definitions: (1) time-based (e.g. time from advanced cancer diagnosis to EPC initiation); (2) prognosis-based (e.g. prognosis or the 'surprise question'); (3) location-based (e.g. access point within the healthcare system such as outpatient setting); (4) treatment-based (e.g. physician's judgement or prior to specific therapies); and (5) symptom-based (e.g. using symptom intensity questionnaires). Many studies included patients with cancer (n = 103), with the most common definition category being time-based (n = 53). Amongst studies focusing on multiple or non-cancer diagnoses (n = 50), the most common definition category was symptom-based (n = 16). CONCLUSION: Our findings provide a useful reference point for those seeking to understand the scope and breadth of existing EPC definitions in cancer and non-cancer illnesses and contemplate their application within clinical practice.
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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 | 0.027 | 0.111 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.008 |
| Bibliometrics | 0.022 | 0.020 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".