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Record W6996870446

Surviving spouses' experiences of the end-of-life phase of the dementia journey

2018· article· en· W6996870446 on OpenAlexaboutno aff

Bibliographic record

VenueArca (British Columbia Electronic Library Network) · 2018
Typearticle
Languageen
FieldEngineering
TopicMicrogrid Control and Optimization
Canadian institutionsnot available
Fundersnot available
KeywordsDementiaDignityHealth carePopulationSpouseDiseaseLived experience
DOInot available

Abstract

fetched live from OpenAlex

The population of Canada is aging and the main risk factor for developing dementia is age. As dementia is a terminal illness, significant challenges lay ahead for health care systems, health care providers, and families of people with dementia. Spouses of people with dementia are often primary care givers. Their experience is understudied and not well understood. The purpose of this study was to explore the lived experience of spouses as they journeyed through the end-of-life phase of dementia with their partners who resided in long-term care facilities. These spouses were challenged with journeying with their loved ones through the dementia trajectory until death and making ethically complex end-of-life decisions on behalf of their partners.\n\n\t\tHermeneutic phenomenology, as articulated by van Manen, was implemented, to understand the experiences of care partners from couples in which one of the partners had died with dementia in long-term care. Five spouses participated in open-ended, semi-structured research questions delivered through conversational interviews. Themes were revelatory of the spouses’ experiences and included: deficits in education about dementia provided to spouses, deficits in knowledge of health care providers about dementia, relationships of the couples, relationships with health care providers, dignity of the partner, sources of support encountered by spouses on the journey, and end-of-life decisions and outcomes.\n\n\t\tKnowledge of spouses’ experiences contributes to the knowledge of practitioners and may guide development and provision of services, education, governmental policy, policy in health care facilities, and support programs for both partners in couples experiencing dementia.

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)0.005
metaresearch head score (Gemma)0.012
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 score0.021
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0120.008
Scholarly communication0.0060.005
Open science0.0010.008
Research integrity0.0010.003
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 head0.005
GPT teacher head0.181
Teacher spread0.176 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

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