A longitudinal cohort study evaluating the impact of a geriatrician-led residential care outreach service on acute healthcare utilisation
Bibliographic record
Abstract
BACKGROUND: over the last decade, high demand for acute healthcare services by long-term residents of residential care facilities (RCFs) has stimulated interest in exploring alternative models of care. The Residential Care Intervention Program in the Elderly (RECIPE) service provides expert outreach services to RCFs residents, interventions include comprehensive care planning, management of inter-current illness and rapid access to acute care substitution services. OBJECTIVE: to evaluate whether the RECIPE service decreased acute healthcare utilisation. DESIGN: a retrospective cohort study using interrupted time series analysis to analyse change in acute healthcare utilisation before and after enrolment. SETTING: a 300-bed metropolitan teaching hospital in Australia and 73 RCFs within its catchment. SUBJECTS: there were 1,327 patients enrolled in the service with a median age of 84 years; 61% were female. METHODS: data were collected prospectively on all enrolled patients from 2004 to 2011 and linked to the acute health service administrative data set. Primary outcomes change in admission rates, length of stay and bed days per quarter. RESULTS: in the 2 years prior to enrolment, the mean number of acute care admissions per patient per year was 3.03 (SD 2.9) versus post 2.4 (SD 3.3), the service reducing admissions by 0.13 admissions per patient per quarter (P = 0.046). Prior to enrolment, the mean length of stay was 8.6 (SD 11.0) versus post 3.5 (SD 5.0), a reduction of 1.5 days per patient per quarter (P = 0.003). CONCLUSIONS: this study suggests that an outreach service comprising a geriatrician-led multidisciplinary team can reduce acute hospital utilisation rates.
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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 | 0.001 | 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 | 0.001 | 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 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".