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Record W4396646980 · doi:10.1177/21582440241241882

Apathy in Older Adults With and Without Dementia: An Integrative Review of Barriers and Facilitators to Care

2024· article· en· W4396646980 on OpenAlexaff
Aderonke Agboji, Shannon Freeman, Davina Banner, Annie Duchesne, Joshua Armstrong, Melinda Martin‐Khan

Bibliographic record

VenueSAGE Open · 2024
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsAlzheimer Society of CanadaUniversity of Northern British Columbia
Fundersnot available
KeywordsApathyDementiaIntervention (counseling)PsychologyPsychological interventionQuality of life (healthcare)Caregiver burdenDyadHealth careCognitionPsychiatryClinical psychologyMedicinePsychotherapistDevelopmental psychologyDisease

Abstract

fetched live from OpenAlex

Despite the detrimental impact of apathy on the cognition, functional abilities, and quality of life of older people, it is often under-rated and under-managed. This integrative review provides a comprehensive overview of the barriers as well as potential facilitators to optimal care for older adults with apathy. A systematic search for relevant literature using Whittemore and Knafl’s framework was conducted to identify factors that inhibit or facilitate optimal detection and intervention for apathy in older people with and without dementia. Four key barriers were identified including lack of standardized definition of apathy, lack of awareness, overlap with other disorders, and methodological limitations of clinical trials. Key facilitators included involvement of the dyad (persons with apathy and their families/formal caregivers), education, training and experience, and adoption of new and innovative method of screening and intervention. To provide optimal care for older people with apathy, there is need to adopt a multifaceted approach, including the development of precise definition of apathy, consideration of person-centered approach, caregiver training, and best practice guidelines for management of apathy. Future research and practice into effective interventions for management of apathy in older adults, and enhanced education and training for healthcare professionals, are needed to ensure quality of care for older adults with apathy.

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 score0.237
Threshold uncertainty score0.371

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)0.0000.000

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 head0.009
GPT teacher head0.338
Teacher spread0.330 · 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

Citations9
Published2024
Admission routes1
Has abstractyes

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