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Record W2893162325 · doi:10.1200/jgo.18.23800

Pan-Canadian Framework for Palliative and End-of-Life Care Research

2018· article· en· W2893162325 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Global Oncology · 2018
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsCanadian Cancer SocietyDalhousie UniversityCanadian Partnership Against CancerCanadian Institutes of Health Research
Fundersnot available
KeywordsPalliative careOperationalizationContext (archaeology)ConceptualizationMedicineStakeholderEnd-of-life careAllianceNursingScope (computer science)Quality of life (healthcare)Public relationsPolitical science

Abstract

fetched live from OpenAlex

Background and context: Ongoing advances have been made in the conceptualization and operationalization of palliative and end-of-life care (PEOLC) (e.g., palliative approaches to care, early identification of people who would benefit from palliative care). In addition, Canada has been a leader in PEOLC research and continues to have an internationally recognized research community. However, many Canadians continue to experience unnecessary pain and suffering at the end of life and receive care inconsistent with their goals and preferences. Within this context, the Canadian Cancer Research Alliance (CCRA) sought to develop a national research framework to guide Canada's cancer research funders in response to their strategic priority to improve the patient experience and quality of life for all cancer patients. Aim: To develop and implement a national framework and recommendations to enable funders to capitalize on existing research strengths and build capacity to address unmet needs to advance the field and broaden the scope, beyond its historical affiliation with advanced cancer, to include PEOLC for all those living and dying with life-limiting conditions. Strategy/Tactics: The framework's development was informed by multiple approaches, including: a strategic literature review; an analysis of PEOLC research funding in Canada from 2005-13; and an online survey and key informant interviews from the broader stakeholder community. Program/Policy process: A working group of CCRA member representatives and palliative care experts met regularly to provide guidance and feedback to a consultant who synthesized the data and formulated recommendations. In total, > 200 stakeholders (e.g., patients, caregivers, researchers, volunteers, practitioners, decision-makers, and policy-makers) provided input through the survey and interviews. Outcomes: The Pan-Canadian Framework for Palliative and End-of-Life Research was released March 2017. It emphasizes priorities for research funding across three broad themes: 1) Transforming models of care; 2) Patient and family centredness; and 3) Ensuring equity. The identified research priorities are underpinned by four building blocks: capacity building; knowledge, synthesis, exchange, and implementation; data access and standardization; and research network development. What was learned: Successful implementation of the framework's recommendations requires strong leadership from champions within the community. The formation of the Pan-Canadian Palliative Care Research Collaborative led by palliative care clinician-researchers, in response to the identified need for a research network, is an example of an early success resulting from release of the framework. Continued efforts are needed to ensure ongoing uptake of the framework's recommendations. CCRA members have commenced planning to identify next steps for joint action.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.707
Threshold uncertainty score0.731

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.271
GPT teacher head0.550
Teacher spread0.279 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it