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Record W2037500218 · doi:10.12927/cjnl.2014.23759

Ethics and Safety in Home Care: Perspectives on Home Support Workers

2014· article· en· W2037500218 on OpenAlexaffvenueabout
Janet Storch, Cherie Curry, Lynn Stevenson, Marilyn Macdonald, Ariella Lang

Bibliographic record

VenueNursing leadership · 2014
Typearticle
Languageen
FieldPsychology
TopicHealthcare Decision-Making and Restraints
Canadian institutionsDalhousie UniversityVictorian Order of NursesIsland HealthUniversity of Victoria
Fundersnot available
KeywordsNursingContext (archaeology)Interpersonal communicationEquity (law)MedicinePsychologyPublic relationsPolitical scienceSocial psychology

Abstract

fetched live from OpenAlex

Home support workers (HSWs) encounter unique safety issues in their provision of home care. These issues raise ethical concerns, affecting the care workers provide to seniors and other recipients. This paper is derived from a subproject of a larger Canada-wide study, Safety at Home: A Pan-Canadian Home Care Safety Study, released in June 2013 by the Canadian Patient Safety Institute. Semi-structured, face-to-face, audiotaped interviews were conducted with providers, clients and informal caregivers in British Columbia, Manitoba and New Brunswick to better understand their perceptions of patient safety in home care. Using the BC data only, we then compared our findings to findings of other BC studies focusing on safety in home care that were conducted over the past decade. Through our interviews and comparative analyses it became clear that HSWs experienced significant inequities in providing home care. Utilizing a model depicting concerns of and for HSWs developed by Craven and colleagues (2012), we were able to illustrate the physical, spatial, interpersonal and temporal concerns set in the context of system design that emphasized the ethical dilemmas of HSWs in home care. Our data suggested the necessity of adding a fifth domain, organizational (system design). In this paper, we issue a call for stronger advocacy for home care and improved collaboration and resource equity between institutional care and community 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)0.002
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.364
Threshold uncertainty score0.781

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 integrity0.0010.002
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 head0.199
GPT teacher head0.409
Teacher spread0.209 · 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
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
Published2014
Admission routes3
Has abstractyes

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