Cultivating Rural Healthcare Professionals: The Norfolk General Hospital Health Science Perspectives Program
Bibliographic record
Abstract
tudies around the world have shown that where healthcare professionals establish their practice is influenced by where they grow up and receive their training.In our Simcoe, Ontario-based Norfolk General Hospital (NGH), about 40% of our physicians and 80% of other medical health professionals study nearby and return here to their rural roots.However, cultivating rural healthcare professionals anywhere poses some of the toughest and most unique challenges, and we are not exempt.To deal with this issue, some countries have created rural health professional recruitment programs with remarkable and quantifiable success.Our Health Science Perspectives Program (HSPP), one of the first of its kind in Canada, is a case in point.The program, conducted in partnership with Simcoe Composite School (SCS), builds on our belief that we can increase our odds of recruiting and retaining health professionals by planting our health sciences seeds early -in high school.And the indicators are, based on our first two grade-12 student groups in 2000 and 2001, that we're on the right track: of the 34 initial participants, 22 (65%) are now in health sciences or related disciplines at the post-secondary level.By contrast, fewer than 30% of SCS science graduates who do not participate in the HSPP enter post-secondary health sciences programs.While we cannot predict how many graduates will become healthcare professionals or return to our community, the program will likely put more professionals into the field -and hopefully attract more graduates to NGH.But it's not just about numbers.The Health Science Perspectives Program, now entering its fourth year, has also provided countless qualitative benefits to NGH, SCS and the community we serve.And it provides a model that other rural communities -perhaps even urban ones -can adopt. THE CHALLENGENorfolk General Hospital, a full-service, 120-bed community hospital in an underserviced southern Ontario rural area, needs to recruit and retain more healthcare professionals.Simcoe Composite School, until recently the town's only secondary school, needs to attract more students at a time when rural schools are already dealing with declining enrolments.We both face unprecedented competition for healthcare professionals and students, respectively.The school is therefore under pressure to come up with innovative magnet programs to draw students.The most successful magnets are those with high levels of community support and participation, and unwavering commitment on the part of all players.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 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".