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Record W2039897904 · doi:10.1177/1471301208093289

Carers perspectives on the activity patterns of people with dementia

2008· article· en· W2039897904 on OpenAlexfundno aff
Pat Chung, Caroline Ellis‐Hill, Peter G. Coleman

Bibliographic record

VenueDementia · 2008
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsnot available
FundersAlzheimer Society
KeywordsDementiaPsychological interventionPsychologyMental healthGrounded theoryLived experienceQualitative researchMedicinePsychotherapistPsychiatryDiseaseSociology

Abstract

fetched live from OpenAlex

Participation in activity is essential for the psychological well-being of people with dementia. The potential benefits of home-based activity programmes may depend on family carers, but little is known about their experience. This study aimed to elicit carers' experiences of involving the person with dementia in activity. Thirty in-depth interviews (i.e. initial and follow-up) were carried out with 15 co-resident carers of people with dementia who were recruited through local community mental health teams. Data were analysed using a grounded theory method. Overall, findings from initial interviews were taken back to the participants at the follow-up interviews. Five activity patterns were identified, which ranged from their usual activity patterns along a continuum through recognizable, illogical, irresponsible and finally reaching a dispossessed pattern. Carers used particular strategies and experienced particular emotional responses along this continuum. This work highlights the complex, temporal and dynamic nature of family carers' involvement in activity engagement. Clinician's interventions could be enhanced by: (1) recognizing the long-term experience of carers in decision making; (2) understanding the strategies used; (3) allowing carers to talk through and share their experiences in a non-judgmental way; (4) ensuring that carers are happy with any suggested interventions.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.031
Threshold uncertainty score0.999

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)0.0020.000

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 head0.019
GPT teacher head0.277
Teacher spread0.258 · 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

Citations21
Published2008
Admission routes1
Has abstractyes

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