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Record W108771347 · doi:10.1086/jce201021303

“Broken Covenant”: Healthcare Aides’ “Experience of the Ethical” in Caring for Dying Seniors in a Personal Care Home

2010· article· en· W108771347 on OpenAlexafffundabout
Susan McClement, Michelle Lobchuk, Harvey Max Chochinov, Ruth Anne Kinsman Dean

Bibliographic record

VenueThe Journal of Clinical Ethics · 2010
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsUniversity of ManitobaCancerCare Manitoba
FundersCanadian Institutes of Health Research
KeywordsFeelingHealth carePalliative careNursingEnd-of-life carePopulationCovenantPsychologyMedicinePersonal careFamily medicineSocial psychology

Abstract

fetched live from OpenAlex

Canada's population is aging, and seniors constitute the fastest growing demographic in the nation. The chronic health conditions, limited social support, functional decline, and cognitive impairment experienced by seniors may necessitate admission to a personal care home (PCH) setting up until the time of their death. The ethical problems that arise in the care of dying patients are numerous and complicated. The care of dying seniors in PCHs, however, is largely provided by frontline workers such as healthcare aides (HCAs), who usually have little training in palliative care or ethics. Research examining the identification and resolution of ethical problems in care of the dying has been conducted from the perspectives of nurses and physicians in various clinical settings, but the voice of HCAs in PCHs is virtually absent from clinical ethics. Given that the inability to satisfactorily resolve ethical issues in clinical practice is associated with feelings of guilt, powerlessness, avoiding contact with patients, failing to provide good physical care, and increased staff turnover, an empirical examination of HCAs' experiences of ethically challenging situations is warranted. We conducted a phenomenological study to access the lived experience of HCAs (N = 12) working in proprietary and nonproprietary care homes as they encountered situations they deemed ethically challenging in providing end-of-life care to dying seniors. The findings reported here explicate: (1) the types of situations that are ethically problematic for HCAs; (2) the meanings they assign to these situations, and (3) the impact such situations have on the provision of end-of-life care.

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)0.008
metaresearch head score (Gemma)0.022
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.061
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.022
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.007
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 head0.345
GPT teacher head0.572
Teacher spread0.227 · 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 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

Citations13
Published2010
Admission routes3
Has abstractyes

Explore more

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