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Record W2923144359 · doi:10.12927/hcq.2019.25747

Access to Palliative Care in Canada

2019· article· en· W2923144359 on OpenAlexaffvenueabout
Alicia Costante, Christina Lawand, Clare Cheng

Bibliographic record

VenueHealthcare Quarterly · 2019
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsCanadian Institute for Health Information
Fundersnot available
KeywordsPalliative careNursingHealth careBusinessService (business)MedicineBest practiceFamily medicineEconomic growthPolitical scienceMarketing

Abstract

fetched live from OpenAlex

Palliative care enables a better end of life, but not all Canadians have access to it. Access to community-based palliative care has become a priority for federal, provincial and territorial governments, with an emphasis on services that can help people remain in the community even at the end of life. The Canadian Institute for Health Information (CIHI) investigated the current state of access to publicly funded palliative care across the country. The purpose of the research is to help health system planners to identify service gaps and develop strategies for improving care. Using linked administrative data, the analysis found that while many people could benefit from palliative care at the end of life, only a few (15%) received palliative home care in Alberta and Ontario in 2016-2017. The analysis also found that early palliative care in the community was associated with better end-of-life outcomes and that access to palliative care varied by age and whether a patient had cancer or not.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.099
Threshold uncertainty score0.717

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.007
Science and technology studies0.0050.001
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.100
GPT teacher head0.434
Teacher spread0.335 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations50
Published2019
Admission routes3
Has abstractyes

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Same venueHealthcare QuarterlySame topicPalliative Care and End-of-Life IssuesFrench-language works237,207