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Record W4401371357 · doi:10.1080/07317115.2024.2388144

Dementia Care Partner Preparedness and Desire to Seek Long-Term Care at Hospital Discharge: Mediating Roles of Care Receiver Clinical Factors

2024· article· en· W4401371357 on OpenAlexfundno aff
Ashley Kuzmik, Marie Boltz

Bibliographic record

VenueClinical Gerontologist · 2024
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsnot available
FundersInstitute of AgingNational Institute on AgingNational Institutes of Health
KeywordsDementiaPreparednessLong-term carePsychologyTerm (time)NursingMedicineGerontologyPsychiatryDisease

Abstract

fetched live from OpenAlex

OBJECTIVES: The purpose of this study was to explore the mediating roles of care receiver clinical factors on the relationship between care partner preparedness and care partner desire to seek long-term care admission for persons living with dementia at hospital discharge. METHODS: This study analyzed data from the Family centered Function-focused Care (Fam-FFC), which included 424 care receiver and care partner dyads. A multiple mediation model examined the indirect effects of care partner preparedness on the desire to seek long-term care through care receiver clinical factors (behavioral and psychological symptoms of dementia [BPSD], comorbidities, delirium severity, physical function, and cognition). RESULTS: Delirium severity and physical function partially mediated the relationship between care partner preparedness and care partner desire to seek long-term care admission (B = -.011; 95% CI = -.019, -.003, and B = -.013; 95% CI = -.027, -.001, respectively). CONCLUSIONS: Interventions should enhance care partner preparedness and address delirium severity and physical function in hospitalized persons with dementia to prevent unwanted nursing home placement at hospital discharge. CLINICAL IMPLICATIONS: Integrating care partner preparedness and care receiver clinical factors (delirium severity and physical function) into discharge planning may minimize care partner desire to seek long-term care.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.065
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.001
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 head0.103
GPT teacher head0.488
Teacher spread0.385 · 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

Citations3
Published2024
Admission routes1
Has abstractyes

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