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Record W2021335704 · doi:10.1016/j.jalz.2008.06.002

Personal perspectives of persons with Alzheimer's disease and their carers: A global survey

2008· article· en· W2021335704 on OpenAlexaff
Alexander Kurz, Mary Schulz, Peter Reed, Marc Wortmann, Jesús Rodrigo, Heike von Lützau Hohlbein, George T. Grossberg

Bibliographic record

VenueAlzheimer s & Dementia · 2008
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsAlzheimer Society of Canada
FundersNovartis
KeywordsFeelingViewpointsQuality of life (healthcare)DiseaseGerontologyPsychologyMedicineFamily medicineNursingSocial psychology

Abstract

fetched live from OpenAlex

BACKGROUND: Alzheimer's disease (AD) impacts on persons with AD as well their families. This survey aimed to identify information/communication gaps, and quality of life and other issues, from both perspectives. METHODS: Persons with AD and their families or other carers from Europe, Brazil, and North America completed telephone interviews. Responses were analyzed by country. RESULTS: Five hundred two persons with AD and 614 carers were included. Issues important to persons with AD were treatment that helps control symptoms; feeling safe and supported at home; and ability to enjoy life. Most felt well-respected by family members. Families/carers considered a wider range of issues important, including detailed information about AD, regimens that are easier to comply with, and medication in a form that is easier to take. This reflects the fact that carers very often manage medications. CONCLUSIONS: This is the first global survey to include persons with AD themselves. Differences between responses from persons with AD and their caregivers highlight the importance of considering both viewpoints.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.008
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
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 head0.037
GPT teacher head0.300
Teacher spread0.263 · 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 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

Citations16
Published2008
Admission routes1
Has abstractyes

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