| Autor: |
Rodriguez, Anabel, Douphrate, David I, Pineda Reyes, Ana L, Zavala, Susana, Cabrera Cruz, Andrea V., Alegria, Maria D, Ukaegbu, Brian, Keeney, Annie J, Berumen-Flucker, Brenda, Shipp, Eva M, Guillot-Wright, Shannon P, Fernandez-Esquer, Maria E, Gimeno Ruiz de Porras, David |
| Zdroj: |
Journal of Agromedicine; Jan2025, Vol. 30 Issue 1, p57-67, 11p |
| Abstrakt: |
Introduction: Health, safety, and well-being training programs provide essential education on anticipating, identifying, and mitigating exposures like infectious diseases. Gaps in infectious diseases awareness and education became especially apparent during the COVID-19 pandemic and subsequently were exacerbated by mis- and disinformation. Methods: Vaccine-preventable infectious diseases training (influenza, hepatitis A and B, and tetanus infections, including COVID-19) was developed, delivered, and evaluated among 1,043 farmworkers, bodega workers, and production management in the Rio Grande Valley using mobile-learning technologies. The Kirkpatrick Four-Level Training Evaluation Model was utilized to evaluate training satisfaction (Level 1), effectiveness (Level 2), and effect on behavior (Level 3). Results: The mean score on the pretest before training was 67.8% (SD 17.5), and the mean score on the same test immediately after the video training was 77.2% (SD 17.9). A paired t-test revealed that knowledge improved significantly from pre- to post-training (p <.05). We observed a difference between mean pre- and post-test scores relative to the pooled standard deviation, resulting in an effect size estimate of 0.53 indicative of a medium learning effect. Conclusion: There is no "silver bullet" for training migrating bodega and farmworkers. Our findings suggest that the utilization of m-learning techniques continues to be a successful mechanism for delivering health, safety, and well-being awareness training content to agricultural workers in remote and challenging work environments. There is a long overdue need for offline capable software with features that allow equitable access to training, even in remote farming regions. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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