The Contribution Falls Have to Increasing Risk of Nursing Home Placement in Community-Dwelling Older Adults
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
PURPOSE: To determine whether a fall, as an adverse event in combination with other risk factors, influences nursing home placement (NHP). METHOD: A retrospective longitudinal study of 6,515 high-risk, community-dwelling, dually eligible (Medicare/Medicaid) participants in a waiver program during 2002-2007 are examined. Data are obtained from the Minimum Data Set-Home Care linked with Medicaid claim files. The authors fit multiple factors to a logistic curve, using generalized linear modeling to predict increased risk of NHP when a fall occurred. RESULTS: Prior NHP and an increased rate of falls (Odds Ratio [OR] = 1.52, 95% Confidence Interval [CI] = 1.25-1.84) and prior NHP and the same rate of falls (OR = 1.55, 95% CI = 1.26-1.91) both increased NHP. CONCLUSION: An adverse event such as a fall and prior NHP is a strong predictor of future NHP and should be taken into consideration while developing care plans for community-dwelling older adults.
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 | 0.033 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.005 |
| 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