The development of community paramedicine; a restricted review
Bibliographic record
Abstract
Community paramedic roles are expanding internationally, and no review of the literature could be found to guide services in the formation of community paramedicine programmes. For this reason, the aim of this restricted review was to explore and better understand the successes and learnings of community paramedic programmes across five domains being; education requirements, models of delivery, clinical governance and supervision, scope of roles and outcomes. This restricted review was conducted by searching four databases (CENTRAL, ERIC, EMBASE, MEDLINE and Google Scholar) as well as grey literature search from 2001 until 28/12/2021. After screening, 98 articles were included in the narrative synthesis. Most studies were from the USA (n = 37), followed by Canada (n = 29). Most studies reported on outcomes of community paramedicine programmes (n = 50), followed by models of delivery (n = 28). The findings of this review demonstrate a lack of research and understanding in the areas of education and scope of the role for community paramedics. The findings highlight a need to develop common approaches to education and scope of role while maintaining flexibility in addressing community needs. There was an observable lack of standardisation in the implementation of governance and supervision models, which may prevent community paramedicine from realising its full potential. The outcome measures reported show that there is evidence to support the implementation of community paramedicine into healthcare system design. Community paramedicine programmes result in a net reduction in acute healthcare utilisation, appear to be economically viable and result in positive patient outcomes with high patient satisfaction with care. There is a developing pool of evidence to many aspects of community paramedicine programmes. However, at this time, gaps in the literature prevent a definitive recommendation on the impact of community paramedicine programmes on healthcare system functionality.
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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 | 0.009 | 0.043 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.010 | 0.014 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| 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".