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Record W2895923739 · doi:10.1097/rnj.0000000000000186

A Feasibility Study of a Multifaceted Walking Intervention to Maintain the Functional Mobility, Activities of Daily Living, and Quality of Life of Nursing Home Residents With Dementia

2018· article· en· W2895923739 on OpenAlexafffund
Charlene H. Chu, Martine Puts, Dina Brooks, Monica Parry, Katherine S. McGilton

Bibliographic record

VenueRehabilitation Nursing · 2018
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsUniversity Health NetworkToronto Rehabilitation InstituteUniversity of Toronto
FundersUniversity of TorontoWorld Health Organization
KeywordsDementiaActivities of daily livingMedicineLong-term careIntervention (counseling)Quality of life (healthcare)Functional Independence MeasureNursing homesGerontologyPhysical therapyNursingPhysical medicine and rehabilitationDisease

Abstract

fetched live from OpenAlex

PURPOSE: The aim of the study was to evaluate the feasibility, acceptability, and efficacy of a multifaceted walking intervention (MWI) aimed to maintain the functional mobility, activities of daily living function, and quality of life of long-term care home residents with dementia. DESIGN/METHODS: A quasiexperimental time-series design was used. The 4-month intervention provided one-on-one walking 2-4 days a week, guided by an individualized communication care plan and interviews with collaterals and staff. RESULTS: The MWI was feasible based on high recruitment and adherence rates (86% and 94%, respectively) and highly acceptable to stakeholders. Residents (n = 25) showed significant improvements after the intervention: Timed Up-and-Go (-8.85 seconds, p = .00), Two-Minute Walk Test (27.47 m, p = .00), Functional Independence Measure (0.72, p = .00), and Alzheimer's Disease-Related Quality of Life (2.44, p = .05). CONCLUSION: The MWI was feasible and improved functional mobility compared to usual care. CLINICAL RELEVANCE: Physical activity delivered with a person-centered care was feasible and may be beneficial to mitigate decline in long-term care home residents 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 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)0.003
metaresearch head score (Gemma)0.002
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 score0.083
Threshold uncertainty score0.385

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.050
GPT teacher head0.394
Teacher spread0.343 · 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

Citations25
Published2018
Admission routes2
Has abstractyes

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