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Record W2130478265 · doi:10.1177/1471301211421085

Quality of life in early dementia: Comparison of rural patient and caregiver ratings at baseline and one year

2011· article· en· W2130478265 on OpenAlexafffund
Marcie Heggie, Debra Morgan, Margaret Crossley, Andrew Kirk, Patrick Wong, Chandima Karunanayake, Rob Beever

Bibliographic record

VenueDementia · 2011
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsCanadian Institutes of Health ResearchUniversity of British ColumbiaCanadian Rural Health Research SocietyUniversity of SaskatchewanUniversity of Calgary
FundersCanadian Institutes of Health ResearchU.S. Public Health Service
KeywordsQuality of life (healthcare)Caregiver burdenMoodMedicineDementiaDepression (economics)DistressMemory clinicActivities of daily livingCognitionClinical psychologyPhysical therapyPsychiatryCognitive impairmentDisease

Abstract

fetched live from OpenAlex

This study examined change in patient and caregiver ratings of patient quality of life (QOL) over one year in individuals with dementia living in rural and remote settings. The sample was selected from non-institutionalized patients who were assessed at an interprofessional memory clinic. Measures of QOL, cognitive function, depression, and functional ability were completed by the patient. Caregivers completed measures of patient QOL and behavior, and their own burden and distress. At baseline (clinic day) 119 patients and family caregivers were assessed. Thirty-two families had complete data at clinic day and one-year follow-up. There was no significant change in either patient or caregiver-rated QOL over one year. Significant predictors of patient self-rated QOL were patient symptoms of depressed mood and functional ability at clinic day, and symptoms of depressed mood and clinic day QOL at one year. Significant predictors of caregiver-rated patient QOL were caregiver burden, patient functional ability, and symptom severity at clinic day, and caregiver burden at one year. Patient and caregiver ratings of patient QOL were moderately associated, but neither patients nor their caregivers reported a significant change in patient QOL. Changes in QOL over time remain a unique individual experience that cannot be entirely predicted by analytical models.

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)0.000
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 score0.012
Threshold uncertainty score0.570

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.051
GPT teacher head0.321
Teacher spread0.270 · 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

Citations26
Published2011
Admission routes2
Has abstractyes

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