Optimizing the mobility of residents with dementia: a pilot study promoting healthcare aide uptake of a simple mobility innovation in diverse nursing home settings
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".