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Record W2731082506 · doi:10.3747/co.24.3129

Palliative Care as a Public Health Issue: Understanding Disparities in Access to Palliative Care for the Homeless Population Living in Toronto, Based on a Policy Analysis

2017· review· en· W2731082506 on OpenAlexaffvenueabout
Blair Henry, Naheed Dosani, Lise Huynh, N. Amirault

Bibliographic record

VenueCurrent Oncology · 2017
Typereview
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsMcMaster UniversityWilliam Osler Health SystemHealth Sciences CentreUniversity of TorontoNorth York General HospitalSunnybrook Health Science Centre
Fundersnot available
KeywordsPalliative careMedicineHealth carePsychological interventionPopulationStakeholderHealth equityPublic healthNursingEnd-of-life carePublic relationsPolitical scienceEnvironmental healthLaw

Abstract

fetched live from OpenAlex

Even in a developed country such as Canada, there are disparities in just access to adequate health care-and, more specifically, palliative care. That inequality is most notable in an underserved group such as the homeless population. Even the word "homeless" has become both a negative descriptor and a stereotype in our society. We posit that the provision of hospice palliative care is structured on several problematic assumptions: an expectation that patients will have an informal support network (family and friends), a stable and secure residence, a predictive terminal illness trajectory, and reasonable access to health care. Those assumptions create structural inequality within the system. Homeless individuals have considerable experience with death and dying, and qualitative research has shown them to hold the expectation that their death will be both sudden and violent. Here, we look at the current data concerning known disparities in access to good palliative care services experienced by the homeless population, based on a stakeholder analysis of the available literature. That information, coupled with the use of a public health ethics decision-making tool, such as the Good Decision Making in Real Time framework, is used to explore the common ethics challenges that can arise in public health interventions aimed at the provision of end-of-life care to homeless adults. A broad exploration of the system that underlies our care is critical to the proper and appropriate provision of care for homeless individuals.

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 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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.758
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.651
GPT teacher head0.662
Teacher spread0.011 · 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 teacher head, not a consensus.

Study designOther design
Domainnot available
GenreReview

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

Citations29
Published2017
Admission routes3
Has abstractyes

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