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Record W2108965360 · doi:10.1186/1471-2318-13-110

Optimizing the mobility of residents with dementia: a pilot study promoting healthcare aide uptake of a simple mobility innovation in diverse nursing home settings

2013· article· en· W2108965360 on OpenAlexafffundabout
Susan E. Slaughter, Carole A. Estabrooks

Bibliographic record

VenueBMC Geriatrics · 2013
Typearticle
Languageen
FieldHealth Professions
TopicGeriatric Care and Nursing Homes
Canadian institutionsUniversity of Alberta HospitalUniversity of Alberta
FundersCanadian Institutes of Health ResearchFondation pour la Recherche Médicale
KeywordsContext (archaeology)MedicineNursingHealth careSittingNursing homesGerontology

Abstract

fetched live from OpenAlex

BACKGROUND: Almost 90 percent of nursing home residents have some type of mobility limitation. Many spend most of their waking hours lying in bed or sitting. Such inactivity can negatively affect residents' health and general well-being. This pilot study aimed to assess (1) the effect of the sit-to-stand activity on mobility outcomes of nursing home residents, (2) the effect of an audit-and-feedback intervention on uptake of the sit-to-stand activity by healthcare aides, and (3) the contextual factors influencing uptake of the sit-to-stand activity by healthcare aides. METHODS: This quasi-experimental pilot study was conducted in two nursing homes in western Canada. Twenty-six residents with dementia completed the sit-to-stand activity with 56 healthcare aides during daily care; separately, 71 healthcare aides completed a research use and context survey. Preliminary mobility feedback was presented to healthcare aides in one site. Resident mobility was measured using the 30-second sit-to-stand test. Healthcare aide uptake of the activity was measured using documentation flowsheets and a survey-based measure. Context was measured using the Alberta Context Tool. Mobility and uptake outcomes were analyzed over time and by site with analysis of covariance. Spearman and Pearson correlations were used to correlate context data with research use. RESULTS: Residents who more frequently completed the sit-to-stand activity were more likely to maintain or improve mobility compared with those who completed it less frequently (F=4.46; p=0.046, after adjustment for age). Uptake for one site was significantly different from the other (t-score=2.67; p=0.01, after adjustment for resident covariates). The audit-and-feedback intervention was associated with increased uptake of the activity from pre-intervention to post-intervention (t-score=-2.48; p=0.02). More context domains correlated significantly with aides' use of conceptual research and information sources in one site than the other. CONCLUSIONS: The sit-to-stand activity is a promising means to maintain or improve transfer ability of nursing home residents with dementia. In the nursing home with initially weak uptake, strengthened uptake followed an audit-and-feedback intervention. Activity participation was higher in the site with stronger correlations between context and measured research use. Results are sufficiently promising to warrant proceeding with a full clinical trial.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.078
GPT teacher head0.368
Teacher spread0.291 · 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 source (direct Gemma or distilled Codex), 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

Citations36
Published2013
Admission routes3
Has abstractyes

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