BEHAVIORAL SYMPTOMS AND FALLS IN LONG-TERM CARE FACILITIES: PERCEPTIONS OF GERONTECHNOLOGY
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Two of the most frequent problems in long-term care facilities (LTC) are behavioral symptoms and falls of older people living with Alzheimer’s disease or associated disorders. Intelligent videomonitoring and mobile application are potential gerontechnologies to help manage these problems. However, evidence about the needs for technologies in LTC is scarce. The goal of this study was to explore the perceptions and needs of managers, formal and family caregivers in LTC regarding these technologies, as well as the conditions and ethical challenges that could influence their use. Individual interviews and a content analysis were conducted. Results show the relevance of these technologies in LTC and the characteristics that make them useful. Based on these results, technologies could be developed to improve the quality of clinical practice in LTC.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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 it