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Record W4403691824 · doi:10.1186/s13643-024-02683-1

Adult day programs and their effects on individuals with dementia and their caregivers (ADAPT-DemCare): a realist synthesis to develop program theories on the how and why

2024· article· en· W4403691824 on OpenAlexafffund
Hung Nguyen, Atiqur Rahman, Andrea Ubell, Zahra Goodarzi, Colleen J. Maxwell, Saleema Allana, Kaitlyn Tate, Holly Symonds‐Brown, Lori E. Weeks, Sienna Caspar, Jim Mann, Matthias Hoben

Bibliographic record

VenueSystematic Reviews · 2024
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsUniversity of LethbridgeDalhousie UniversityWestern UniversityUniversity of CalgaryUniversity of AlbertaAlzheimer Society of CanadaUniversity of WaterlooYork University
FundersCanadian Institutes of Health Research
KeywordsMedicineDementiaGerontologyMedical educationNursing

Abstract

fetched live from OpenAlex

BACKGROUND: Adult day programs aim to facilitate aging in place by supporting the health and well-being of persons with dementia and providing respite to their caregivers. However, studies on the effects of day programs are inconclusive, and we especially lack insights into the context conditions and mechanisms of day programs that may produce different outcomes for different groups of persons with dementia and their caregivers. Our objective was to conduct a realist review, synthesizing research on day programs to develop program theories explaining how and why day programs do or do not produce positive or negative outcomes for different groups of persons with dementia, and caregivers. METHODS: We identified 14 literature reviews (including 329 references published between 1975 and 2021) on adult day programs. From this initial pool of studies, we will include those that focused on day program attendees with dementia or meaningful cognitive impairment, and/or their caregivers, and that report how day program contexts (C) and mechanisms (M) bring about outcomes (O) for attendees and caregivers. We will extract CMO statements (i.e., narratives that explain how and why day programs do or do not bring about certain outcomes for whom and under what circumstances). Using additional focused searches, citation mapping, citation tracking, and discussions with our researcher and expert team members, we will identify additional references. CMO statements will be synthesized, transformed into hypotheses, and linked and visualized to form program theories. Using focus groups and the James Lind Alliance Priority Setting Partnership method, we will discuss and prioritize our CMO statements and refine our program theories with 32 experts (older adults, caregivers, Alzheimer societies, caregiver organizations, day program staff and managers, and health system and policy decision makers). DISCUSSION: By identifying essential elements and processes of day programs and related knowledge gaps, this study will generate much-needed knowledge to leverage the full potential of day programs so they can provide appropriate care, preventing premature institutionalization, and unnecessary acute and primary care use. This will ultimately improve the quality of life of persons with dementia and their caregivers, alleviate caregiver burden, and reduce social costs. SYSTEMATIC REVIEW REGISTRATION: PROSPERO CRD42024504030.

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)0.007
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.541
Threshold uncertainty score0.598

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.081
GPT teacher head0.400
Teacher spread0.320 · 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 designSystematic review
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

Citations4
Published2024
Admission routes2
Has abstractyes

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