Evaluating the capabilities model of dementia care: a non-randomized controlled trial exploring resident quality of life and care staff attitudes and experiences
Bibliographic record
Abstract
BACKGROUND: This 12 month, Australian study sought to compare the Capabilities Model of Dementia Care (CMDC) with usual long-term care (LTC), in terms of (1) the effectiveness of the CMDC in assisting care staff to improve Quality Of Life (QOL) for older people with dementia; and (2) whether implementation of the CMDC improved staff attitudes towards, and experiences of working and caring for the person with dementia. METHODS: A single blind, non-randomized controlled trial design, involving CMDC intervention group (three facilities) and a comparison usual LTC practice control group (one facility), was conducted from August 2010 to September 2011. Eighty-one staff members and 48 family members of a person with dementia were recruited from these four LTC facilities. At baseline, 6 and 12 months, staff completed a modified Staff Experiences of Working with Demented Residents questionnaire (SEWDR), and families completed the Quality of Life - Alzheimer's Disease questionnaire (QOL-AD). RESULTS: LTC staff in the usual care group reported significantly lower SEWDR scores (i.e. less work satisfaction) than those in the CMDC intervention group at 12 months (p = 0.005). Similarly, family members in the comparison group reported significantly lower levels of perceived QOL for their relative with dementia (QOL-AD scores) than their counterparts in the CMDC intervention group at 12 months (p = 0.012). CONCLUSIONS: Although the study has a number of limitations the CMDC appears to be an effective model of dementia care - more so than usual LTC practice. The CMDC requires further evaluation with participants from a diverse range of LTC facilities and stages of cognitive impairment.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".