Perspectives of an intervention: British Columbia emergency health services community paramedics’ perspectives of chronic condition management in rural and remote British Columbia
Bibliographic record
Abstract
,Persistent challenges in delivering healthcare in rural and remote areas have resulted in healthcare inequities including increased rates of chronic conditions. Increased exacerbation, diminished healthspan, and poor quality of life are all markers of this inequity. To improve this, British Columbia Emergency Health Services (BCEHS) introduced their Community Paramedic program to bridge gaps in chronic condition management among rural and remote populations. This research was designed to understand the community paramedic’s perspective of chronic condition management, program outcomes, and impact of the COVID-19 pandemic on community paramedic practice. Qualitative interviews were conducted with 15 practicing BCEHS community paramedics. Interpretive description methodology was used to guide thematic analysis with four primary themes emerging: community paramedics provide a unique approach to care delivery and offer a valuable perspective of the patient who they engage with, community paramedics introduce novel attributes of care including face-to-face engagements in patient homes, community paramedicine bridges health service delivery gaps and demonstrates improvements in chronic condition management, the COVID-19 pandemic affirmed the adaptability of community paramedics and the need to continue foundational care approaches. This study provided rich perspectives and insight into community paramedic practice across rural and remote British Columbia and the potential it holds to continue to bridge health service delivery gaps among a long-underserved population.
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.025 | 0.006 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.007 |
| Insufficient payload (model declined to judge) | 0.007 | 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 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".