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Record W4390703478 · doi:10.1186/s12904-024-01340-7

“You can’t die here”: an exploration of the barriers to dying-in-place for structurally vulnerable populations in an urban centre in British Columbia, Canada

2024· article· en· W4390703478 on OpenAlexafffundabout
Kelli Stajduhar, Melissa Giesbrecht, Ashley Mollison, Kara Whitlock, Piotr Burek, Fraser Black, Jill Gerke, Naheed Dosani, Simon Colgan

Bibliographic record

VenueBMC Palliative Care · 2024
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsUniversity of British ColumbiaUniversity of CalgarySt. Michael's HospitalIsland HealthUniversity of Victoria
FundersCanadian Cancer Society Research InstituteCanadian Institutes of Health ResearchCanada Research ChairsCanadian Cancer SocietyMichael Smith Health Research BC
KeywordsPalliative careThematic analysisFocus groupAutonomyEmotiveFieldnotesVulnerability (computing)End-of-life careQualitative researchParticipatory action researchSociologyNursingPublic relationsMedicinePsychologyEthnographyPolitical scienceLaw

Abstract

fetched live from OpenAlex

BACKGROUND: One measure of quality in palliative care involves ensuring people approaching the end of life are able to receive care, and ultimately die, in the places they choose. Canadian palliative care policy directives stem from this tenet of autonomy, acknowledging that most people prefer to die at home, where they feel safe and comfortable. Limited research, however, considers the lack of 'choice' people positioned as structurally vulnerable (e.g., experiencing extreme poverty, homelessness, substance-use/criminalization, etc.) have in regard to places of care and death, with the option of dying-in-place most often denied. METHODS: Drawing from ethnographic and participatory action research data collected during two studies that took place from 2014 to 2019 in an urban centre in British Columbia, Canada, this analysis explores barriers preventing people who experience social and structural inequity the option to die-in-place. Participants include: (1) people positioned as structurally vulnerable on a palliative trajectory; (2) their informal support persons/family caregivers (e.g., street family); (3) community service providers (e.g., housing workers, medical professionals); and (4) key informants (e.g., managers, medical directors, executive directors). Data includes observational fieldnotes, focus group and interviews transcripts. Interpretive thematic analytic techniques were employed. RESULTS: Participants on a palliative trajectory lacked access to stable, affordable, or permanent housing, yet expressed their desire to stay 'in-place' at the end of life. Analysis reveals three main barriers impeding their 'choice' to remain in-place at the end of life: (1) Misaligned perceptions of risk and safety; (2) Challenges managing pain in the context of substance use, stigma, and discrimination; and (3) Gaps between protocols, policies, and procedures for health teams. CONCLUSIONS: Findings demonstrate how the rhetoric of 'choice' in regard to preferred place of death is ethically problematic because experienced inequities are produced and constrained by socio-structural forces that reach beyond individuals' control. Ultimately, our findings contribute suggestions for policy, programs and practice to enhance inclusiveness in palliative care. Re-defining 'home' within palliative care, enhancing supports, education, and training for community care workers, integrating palliative approaches to care into the everyday work of non-health care providers, and acknowledging, valuing, and building upon existing relations of care can help to overcome existing barriers to delivering palliative care in various settings and increase the opportunity for all to spend their end of life in the places that they prefer.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.234
Threshold uncertainty score0.611

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.112
GPT teacher head0.377
Teacher spread0.265 · 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 designObservational
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

Citations17
Published2024
Admission routes3
Has abstractyes

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