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Record W2467041249 · doi:10.1177/1471301216656097

‘And so I took up residence’: The experiences of family members of people with dementia during admission to an acute hospital unit

2016· article· en· W2467041249 on OpenAlexaboutno aff
Kay de Vries, Jenny Drury-Ruddlesden, Chris Gaul

Bibliographic record

VenueDementia · 2016
Typearticle
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsnot available
Fundersnot available
KeywordsDementiaResidenceUnit (ring theory)MedicineFamily memberQuarter (Canadian coin)GerontologyPsychologyPsychiatryDiseaseNursingFamily medicineSociologyDemographyHistory

Abstract

fetched live from OpenAlex

It is estimated that a quarter of acute hospital beds are in use by older people with dementia at any one time. Little empirical research has been carried out that has specifically examined the day-to-day input of family members into the care of people with dementia during an acute hospital admission. In this article, we present the results of analysis of interviews with 26 family members of people with dementia about their experiences of supporting an admission of a person with dementia to an acute hospital unit in New Zealand. For all family members, the desire to support the person with dementia during their admission was at the forefront and was their primary focus. The theme, 'And so I took up residence', exemplifies fully the experiences of all of the family member participants. This study provides evidence that family members are a resource that may be unrecognised, untapped and unsupported in the event of hospitalisation of people with dementia.

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)0.006
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score0.060

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.019
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0130.012
Scholarly communication0.0040.005
Open science0.0020.007
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0030.000

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 head0.046
GPT teacher head0.358
Teacher spread0.312 · 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 designQualitative
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
Published2016
Admission routes1
Has abstractyes

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