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Record W1973434743 · doi:10.1177/1049909112448925

Increasing Access—A Qualitative Study of Homelessness and Palliative Care in a Major Urban Center

2012· article· en· W1973434743 on OpenAlexaffabout
Yonah Krakowsky, Mirriam Gofine, Pnina Brown, Jana Danziger, Holly Knowles

Bibliographic record

VenueAmerican Journal of Hospice and Palliative Medicine® · 2012
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsSt. Michael's HospitalMcMaster UniversityUniversity of Toronto
Fundersnot available
KeywordsPalliative careThematic analysisQualitative researchMedicineNursingHealth careGerontologyFamily medicineSociologyEconomic growth

Abstract

fetched live from OpenAlex

Rates of morbidity and mortality are significantly higher in homeless populations. Homeless people experience many barriers to receive adequate palliative care. This qualitative study examines how a major urban city's palliative care resources can be improved to increase access and better serve the homeless. Audiotaped interviews were preformed with 7 homeless care providers in Toronto, Canada, and their transcripts were analyzed using thematic analysis. The findings of the study suggest that in order to increase access and to serve the city's terminally ill homeless better, the following 4 areas must be addressed: (1) increasing positive interaction between the health care system and the homeless, (2) training staff to deal with the unique issues confronting the homeless, (3) providing patient-centered care, and (4) diversifying the methods of delivery.

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)0.010
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.036
Threshold uncertainty score0.072

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.013
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0160.012
Scholarly communication0.0040.003
Open science0.0020.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.070
GPT teacher head0.480
Teacher spread0.410 · 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 designQualitative
Domainnot available
GenreEmpirical

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

Citations55
Published2012
Admission routes2
Has abstractyes

Explore more

Same venueAmerican Journal of Hospice and Palliative Medicine®Same topicHomelessness and Social IssuesFrench-language works237,207