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Record W2900005909 · doi:10.1093/geroni/igy023.1478

INCLUDING FAMILY CAREGIVERS IN CANADIAN LONG TERM CARE: AMBIGUITY BETWEEN POLICY AND PRACTICE

2018· article· en· W2900005909 on OpenAlexaffabout
Janice Keefe, Deanne Taylor, Bob Parker, L Tay, H Cook

Bibliographic record

VenueInnovation in Aging · 2018
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsInterior HealthMount Saint Vincent University
Fundersnot available
KeywordsContext (archaeology)AmbiguityQuality of life (healthcare)Long-term careGerontologyPsychologyScale (ratio)Quality (philosophy)NursingMedicineGeographyComputer science

Abstract

fetched live from OpenAlex

Canada has one of the most policy-dense long-term care (LTC) systems in the world. These policies intend to frame best quality of care practices for people living in care. Unfortunately, the high volume of and gaps within policies create ambiguity for care providers in how to enact sometimes contradictory policy in keeping with the quality of end of life preferences of residents and their families. Our research team within SALTY (Seniors: Adding Life to Years) is assessing the complex interplay of LTC policies that influence quality of life (QOL) at end of life in LTC. We have analyzed more than 150 relevant policies from four Canadian provinces using a hermeneutics content analysis approach. Each document was categorized by specificity to LTC, and degree of compliance against a 6 level scale. Next, to assess the QOL elements, each policy was examined using Kane’s (2006) 11 domains for measuring QOL. Findings were themed by applying a family-centred lens. Results demonstrate differences between each province’s most binding compliance policy documents in terms of language, goal, intention, and context when considering friend/family caregiver involvement as a quality of end of life consideration. This presentation highlights the differences between four provinces located at the most eastern and western parts of the country. We highlight the implications of these policy differences against how persons living in care value family and friends as part of their quality of end of life experience.

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)0.001
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 score0.284
Threshold uncertainty score0.549

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
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 head0.081
GPT teacher head0.447
Teacher spread0.366 · 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

Citations1
Published2018
Admission routes2
Has abstractyes

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