An estimate of the prevalence of dementia among residents of long-term care geriatric institutions in the Jerusalem area
Bibliographic record
Abstract
BACKGROUND: To determine the prevalence of dementia among the residents of geriatric institutions in the greater Jerusalem area. METHODS: A population-based, cross-sectional survey of a representative sample, weighted according to the level of care, of 11 of the 88 long-term care (LTC) wards in 34 LTC institutions providing care for the elderly residents in the greater Jerusalem area in 1999. A single physician interviewed 311 residents. The presence of dementia was determined from medical records and by performance on the Modified Mini-mental State Examination (3MS) instrument (with a score less than 78/100 indicating significant cognitive impairment or suspected dementia), and professional care providers were interviewed for their opinion regarding the presence of dementia in each subject. RESULTS: The mean age of the patients was 83.9 years and 75% were women. Overall, 180 residents, representing 49.9% of the weighted sample in Jerusalem LTC facilities, were determined to have dementia according to medical records, ranging from 22.9% in independent and frail care units to 97.7% in skilled nursing care wards. However, based on their performance on the 3MS, the prevalence of cognitive impairment with suspected dementia among the subjects was substantially greater, with the staff being unaware of this diagnosis in about one-quarter of the subjects. CONCLUSIONS: There is a high prevalence of dementia in geriatric institutions in the Jerusalem area, particularly in those providing greater care. Moreover, significant cognitive impairment is probably under-reported in the medical records.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".