Abstract
ABSTRACT 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.
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