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Record W2021604457 · doi:10.1177/1471301215576227

Subjective quality of life of those 65 years and older experiencing dementia

2015· article· en· W2021604457 on OpenAlexaffabout
Lois A. Stewart-Archer, Afrooz Afghani, Christine Toye, Frank A. Gomez

Bibliographic record

VenueDementia · 2015
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsUniversity of ManitobaManitoba Health
Fundersnot available
KeywordsDementiaQuality of life (healthcare)GerontologyIndependence (probability theory)PsychologyAging in placeRating scaleNursingMedicineDiseaseDevelopmental psychology

Abstract

fetched live from OpenAlex

BACKGROUND/OBJECTIVES: To describe how people experiencing dementia define quality of life and how this may be supported. DESIGN: Qualitative descriptive component of mixed methods cross-sectional study. SETTING: Western Canadian community (4-h weekly care minimum), supportive housing (24-h support/supervision), personal care homes (24-h nursing). PARTICIPANTS: One hundred and thirty-six persons aged 65+ experiencing dementia. MEASUREMENTS: Semi-structured interview questions. Rating of meeting life's goals. RESULTS: Participants characterised quality of life as: freedom, independence, having basic needs met, physical health, engagement in meaningful activities and tranquility. A need for self-determination/choice was evidenced across all domains. Increased access to skilled nursing care, support for meaningful engagement with family and meeting life's goals were endorsed as adding most to quality of life; 43% reported meeting all life's major goals. CONCLUSION: People experiencing dementia may have better quality of life when choice/self-determination is supported. Enhancements in care environment, independence, engagement and meeting of life's goals merit urgent attention.

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)0.000
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 score0.013
Threshold uncertainty score0.433

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.065
GPT teacher head0.377
Teacher spread0.312 · 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

Citations20
Published2015
Admission routes2
Has abstractyes

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