The Effect of Adult Day Services on Delay to Institutional Placement
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
Delays to institutionalization were compared between elderly individuals who differed in the amounts ("dosages") of adult day services (ADS) they attended. A Kaplan-Meier survival analysis revealed higher dosages of ADS to be associated with greater delays to institutionalization. Retrospective data from financial and service utilization systems and from the Resident Assessment Instrument for Home Care (RAI-HC) were then used to fit a Cox regression model that was adjusted for potential selection biases. This model also found systematically lower hazards for institutionalization at higher ADS dosages. The ADS effect did not appear to be an artifact of increased utilization of additional home health services. Results suggest a beneficial effect of ADS on delay to institutionalization that cannot be attributed to home support, respite, or case management services.
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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 | 0.000 | 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 it