Do Geriatric Interventions Reduce Emergency Department Visits? A Systematic Review
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
BACKGROUND: Hospital emergency departments (EDs) serve an aging population with an increased burden on health resources. Few studies have examined the effects of comprehensive geriatric assessment interventions on ED use. This study aimed to systematically review the literature and compare the effects of these interventions on ED visits. METHODS: Relevant articles were identified through electronic databases and a search of reference lists and personal files. Inclusion criteria included: original research (written in English or French) on interventions conducted in noninstitutionalized populations 60 years old or older, not restricted to a particular medical condition, in which ED visits were a study outcome. Data were abstracted and checked by the first author and a research assistant using a standard protocol. RESULTS: Twenty-six relevant studies were identified, reported in 28 articles, with study samples obtained from EDs (9), hospitals (4), outpatient or primary care settings (10), home care (4), and community (1). The study designs included 17 randomized controlled trials, 3 trials with nonrandom allocation, 4 before-after studies, 1 quasi-experimental time-series study, and 1 cross-sectional study. Hospital-based interventions (mostly short-term assessment and/or liaison) had little overall effect on ED utilization, whereas many interventions in outpatient and/or primary care or home care settings (including geriatric assessment and management and case management) reduced ED utilization. Heterogeneity in study methods, measures of comorbidity, functional status, and ED utilization precluded meta-analysis of the results. CONCLUSION: Further research, using improved methodologies and standardized measures, is needed to address the effects of innovative geriatric interventions on ED visits.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.006 | 0.003 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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