ESTABLISHING THE EFFECTIVENESS OF THE INDEPENDENCE AT HOME COMMUNITY PARAMEDICINE MODEL
Bibliographic record
Abstract
Older adults are the highest users of paramedical services. To improve care integration, the Independence at Home initiative (IAH) was launched to broaden the scope of practice of paramedics to provide proactive home visits for low-income older adults who were high-users of 911 services (i.e. ≥5 911 calls 6-months). During the first-year, 908 primary and follow-up visits were conducted with 588 patients where paramedics conducted holistic assessments to ascertain unmet health and social care needs. Outcomes for 111 clients enrolled over a 3-month period for whom 6-months pre and post follow-up data was available showed that pre enrolment this group made 301 911 calls (17% from 10 high-users) resulting in 246 (82%) ED visits. Six-months following the visit there were 154 911 calls (19% from six high-users) resulting in 103 (67%) ED visits. Overall, this program reduced 911 calls by 41% and ED transports by 42% six-months after enrolment.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.026 | 0.032 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".