Use of the Dementia Assessment Sheet for Community‐based Integrated Care System 21 items among Chinese community‐dwelling older adults
Bibliographic record
Abstract
AIM: The objective of this study was to verify the reliability and validity of the Dementia Assessment Sheet for Community-based Integrated Care System 21 items (DASC-21) among Chinese community-dwelling older adults, and to explore the related factors for dementia screening. METHODS: The study adopted a cross-sectional design, and a total of 1152 participants aged ≥60 years were recruited from 26 locations in China. All data were collected using questionnaires through face-to-face interviews. The logistic regression model was used to evaluate the effect factors of DASC-21 for dementia screening. The receiver operating characteristic curves were used to determine the optimal cut-off points and the accuracy of the DASC-21 for dementia and mild cognitive impairment screening. RESULTS: For test-retest reliability, the Pearson correlation coefficient was 0.873 (P < 0.001). In the criterion-related validity, the DASC-21 scores were significantly and negatively correlated with the Mini-Mental State Examination (r = -0.663, P < 0.001) and the Montreal Cognitive Assessment (r = -0.565, P < 0.001) scores. The results of the receiver operating characteristic analysis showed that there were different optimal cut-off values for different age groups. The areas under the receiver operating characteristic curves were 95.6% and 90.3% for dementia and mild cognitive impairment screening using DASC-21 after considering related effect factors. CONCLUSIONS: The DASC-21 was confirmed to be a valid and reliable instrument for dementia screening among Chinese community-dwelling older adults. Our results suggested that the age, education level and 2-week prevalence were important effect factors for dementia screening using the DASC-21. Geriatr Gerontol Int 2021; 21: 705-711.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".