The Healthcare Travelling Roadshow: a qualitative study of a rural community engagement initiative in Canada
Bibliographic record
Abstract
INTRODUCTION: Youth from rural communities face significant challenges in the pursuit of healthcare training. Healthcare trainees with a rural background are more likely than those without to practice rurally as healthcare professionals. The Healthcare Travelling Roadshow (HCTRS) is an initiative in Canada that provides rural youth with exposure to healthcare careers, while providing healthcare students with exposure to rural opportunities, and an interprofessional education experience. To the authors' knowledge, this is the first description of an initiative for rural university-high school healthcare career outreach that involves near-peer teaching, highly interactive sessions, and an interprofessional focus. METHODS: Ten HCTRSs took place throughout northern rural and remote British Columbia between 2010 and 2017. Questionnaires were delivered to youth in a pilot research project in 2010. Healthcare students and community members completed questionnaires for ongoing program evaluation from 2010 to 2017. Quantitative elements were graded on a five-point Likert scale. Qualitative elements were analyzed thematically. RESULTS: Participants indicated that the program was very successful (4.71, 95% confidence interval (CI) 4.63-4.79), would likely encourage healthcare students to consider rural practice (4.12, 95%CI 3.98-4.26), and that it inspired local youth to consider careers in health care much or very much (4.45, 95%CI 4.35-4.55). Qualitative analysis led to description of four themes: (1) sincerity and interactivity sparking enthusiasm, (2) learning through rural exposure and community engagement, (3) healthcare student personal growth and (4) interprofessional collaboration and development. Open-ended feedback identified successes outside of the primary goals and illustrated how this program could act in a multi-faceted way to promote healthcare recruitment and retention. Constructive comments emphasized the importance of taking a balanced approach to planning the HCTRS, ensuring the goals of the HCTRS are best met, while meeting the needs of the host communities as much as possible. CONCLUSIONS: The HCTRS is an interdisciplinary experience that successfully engages rural youth, healthcare students, and community stakeholders. Participants consistently indicated that it encouraged rural youth towards healthcare careers and healthcare students towards rural practice. Success of the program requires meaningful engagement with multiple academic and community stakeholders.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".