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Record W2895562897 · doi:10.1177/0030222818801150

Bearing Witness: Exploring the End-of-Life Needs of Homeless Persons and Barriers to Appropriate Care

2018· review· en· W2895562897 on OpenAlexafffund
Keri J. West, Brittany Wrobel, Stefania Pallotta, Alex Coatsworth

Bibliographic record

VenueOMEGA - Journal of Death and Dying · 2018
Typereview
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsBaycrest HospitalUniversity of Toronto
FundersKorea Electrotechnology Research InstituteUniversity of Toronto
KeywordsEnd-of-life careReceiptPalliative careWitnessNegotiationNursingPopulationSocial workPsychologyQuality of life (healthcare)GerontologyMedicineSociologyPolitical scienceBusiness

Abstract

fetched live from OpenAlex

Traditional models of palliative care are largely inaccessible to homeless persons, and their preferences regarding end-of-life care are poorly understood. The purpose of the present scoping review is to summarize the burgeoning gray and academic literature on end-of-life care for homeless persons. Five medical databases, seven social science databases, and four gray literature databases were searched, resulting in 57 relevant titles. Six themes emerged: (a) Characteristics of homeless persons who require end-of-life care; (b) preferences and concerns of homeless persons approaching the end of life; (c) the role of spirituality for homeless persons at the end of life; (d) barriers to care at the patient, provider, and institutional or structural levels; (e) inclusive models of palliative care; and (f) implications for policy and practice. Practitioners and homeless persons must negotiate many obstacles in the provision and receipt of palliative care. However, there is tremendous potential and opportunity to improve the quality of life at the end of life for this vulnerable population.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.532
Threshold uncertainty score0.804

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.144
GPT teacher head0.406
Teacher spread0.262 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations30
Published2018
Admission routes2
Has abstractyes

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