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Record W4400315444 · doi:10.1016/j.puhip.2024.100528

The efficacy of a mobile-based multidomain program on cognitive functioning of residents in assisted living facilities

2024· article· en· W4400315444 on OpenAlexaboutno aff
Yongseop Kim, Junhyoung Kim, Jaegyeong Lee, Marcia G. Ory, Myung Jin Ko

Bibliographic record

VenuePublic Health in Practice · 2024
Typearticle
Languageen
FieldHealth Professions
TopicAssistive Technology in Communication and Mobility
Canadian institutionsnot available
Fundersnot available
KeywordsAssisted Living FacilityAssisted livingCognitive skillCognitionPsychologyGerontologyTest (biology)Independent livingMedicinePsychiatry

Abstract

fetched live from OpenAlex

Objectives: The purpose of this study is to test the efficacy of a mobile-based multidomain application, Silvia Program, on cognitive functioning of residents in assisted living facilities (ALFs). Study design: Pilot randomized controlled trial using a two-group pretest-posttest design. Methods: Twenty participants living in ALFs were randomized to a Silvia group or usual care group. Silvia group received mobile-based Multidomain lifestyle intervention for 50-60 min, twice weekly, for 12 weeks. We assessed the cognitive functioning using the Montreal Cognitive Assessment (MoCA). Results: Results are that the total MoCA scores of the Silvia group showed significant improvement while the total scores of the control group declined. Conclusion: The present study provides suggestive evidence for an overall positive effect of the use of the Silvia Program on the cognitive functioning among residents in ALFs.

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)0.014
metaresearch head score (Gemma)0.048
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.836
Threshold uncertainty score0.960

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.048
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.154
GPT teacher head0.506
Teacher spread0.352 · 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

Citations4
Published2024
Admission routes1
Has abstractyes

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