Cognitive Impairment, Disruptive Behaviors, and Home Care Utilization
Bibliographic record
Abstract
Disruptive behaviors by an elder with cognitive impairment, such as violence, abrupt mood swings, and overt inappropriate sexual behaviors have been known to create caregiver distress, but little is known about how these behaviors may influence the use of home care services by that elder or their informal caregiver. The purpose of this study is to explore the associations between type of cognitive impairment (cognitive impairment with no dementia, and dementia), selected disruptive behaviors, and the use of four home care services (homemaking/cleaning, personal care, in-home nursing, home-delivered meals). Secondary data analysis from the 1991-1992 Manitoba Study on Health and Aging data set was conducted, using a sample of 124 community-dwelling elders and their unpaid caregivers. Multivariate analysis revealed that disruptive behaviors were significantly associated with the use of two services: personal care and home-delivered meals. Being cognitively impaired with dementia was significant for only home-delivered meals. Overall functional status of the elder emerged as a consistent predictor.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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".