Evidence-based support for community outreach worker programme in Rural British Columbia, Canada
Bibliographic record
Abstract
INTRODUCTION: Community outreach workers (CWs) provide critical services to their community by connecting marginalised people to community and primary care services. The importance of CWs is overlooked in the current provincial primary health-care transformation due to perceived lack of evidence. This evaluation describes the efficacy of the CW programme in a rural British Columbian community. METHODS: Capacity of the programme was determined by reviewing service and financial reports. Outcomes of the programme were analyzed from the electronic medical records and health systems data. Group discussions were conducted with providers, care team members and CWs for a deeper understanding of programme efficacy and impact. RESULTS: For 64 h per month, CWs supported 15 clients, provided 28 visits and executed 10 referrals to community resources. The typical client was an adult of low socioeconomic status, unable to effectively organise themselves and navigate the health-care system and/or community resources, often as a result of undiagnosed low mental or cognitive functioning. The programme positively impacted the health-care system by facilitating 142 attachments to providers, reducing client emergency department use by 41%, while marginally increasing primary care services (6%), and supporting more appropriate emergency department visits. CONCLUSION: Clients enrolled in the programme did not fit into already defined services offered by the health authority. However, they required support to effectively function in their community. With the current health-care system transformation in British Columbia, it is imperative that the CW programme is recognised for its value to attract and maintain stable funding.
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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 | 0.003 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".