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Record W2903403945 · doi:10.1097/nur.0000000000000418

Examining the Perceived Effects of an Adult Day Program for Individuals With Dementia and Their Caregivers

2018· article· en· W2903403945 on OpenAlexaff
Karen Helena Thompson, Paula C. Fletcher

Bibliographic record

VenueClinical Nurse Specialist · 2018
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsDementiaThematic analysisDay careQualitative researchMedicineGerontologyFamily caregiversNursingPerspective (graphical)PsychologyDisease

Abstract

fetched live from OpenAlex

BACKGROUND: Currently 564 000 Canadians are living with dementia, and this number is expected to rise significantly in the next 15 years. Many individuals with dementia use adult day programs; however, contradictory evidence exists as to the effects that adult day programs have on individuals with dementia and their caregivers. PURPOSE/AIMS: The purpose of this study was to examine the perceived effects that an adult day program had on individuals with dementia and their caregivers, from the perspective of care providers at an adult day program. DESIGN: A qualitative research design was used to guide this study. METHODS: One-on-one semistructured interviews were completed with all of the adult day program care providers (n = 7). Thematic analysis was used to analyze the data. RESULTS: The adult day program care providers identified several benefits of adult day programs for individuals with dementia and their caregivers. Two themes emerged, including (1) the role of care providers and (2) time to breathe. CONCLUSIONS: Adult day programs have the potential to benefit caregivers and care recipients. Other community support programs may be able to use the knowledge gained from this qualitative study to implement strategies into existing adult day programs to provide support for care recipients and caregivers.

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)0.001
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 score0.482
Threshold uncertainty score0.599

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
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 head0.033
GPT teacher head0.379
Teacher spread0.346 · 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
Published2018
Admission routes1
Has abstractyes

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