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Record W2804763083

Links among communication, dementia, and caregiver burden

2012· article· en· W2804763083 on OpenAlexaboutno aff
Barbara J. Watson, Lisa Dawn Aizawa, Marie Y. Savundranayagam, J. B. Orange

Bibliographic record

VenueScholarship@Western (Western University) · 2012
Typearticle
Languageen
FieldPsychology
TopicAging and Gerontology Research
Canadian institutionsnot available
Fundersnot available
KeywordsDementiaCaregiver burdenPsychologyGerontologyPsychiatryMedicineDisease
DOInot available

Abstract

fetched live from OpenAlex

Dementia is a degenerative syndrome that affects multiple mental functions includingcognition and behaviour. Family caregivers of individuals with dementia also experiencethe devastating effects of the syndrome on their relatives’ memory, language andcommunication. Currently, Canadian family caregivers provide more than fifty percent ofthe care for an estimated 500,000 people with dementia. Audiologists and speech-languagepathologists need to be cognizant of the expanding communication, hearing and languageneeds of individuals with dementia and their family caregivers. This paper addresses thecomplex relationships among communication problems in dementia, the burdens sufferedby family caregivers, and the effects of communication education and training programsdesigned to enhance communication and to minimize caregiver burden. The literature showsclearly that clinicians must include both family caregivers and their relatives with dementiain comprehensive communication care interventions in order to achieve optimal outcomes.Moreover, clinicians must provide education and training to caregivers concerning the use ofevidence-derived effective communication, hearing, language and speech strategies to helpreduce caregiver burden.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score1.000

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 communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.120
GPT teacher head0.376
Teacher spread0.256 · 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.

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

Citations28
Published2012
Admission routes1
Has abstractyes

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