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Evaluating a contact tracing course: How universities can develop the public health workforce.

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  • Additional Information
    • Subject Terms:
      HEALTH literacy; CONTACT tracing; T-test (Statistics); COURSE evaluation (Education); UNIVERSITIES & colleges; LOGISTIC regression analysis; PUBLIC opinion; DESCRIPTIVE statistics; RACE; INTENTION; PUBLIC health; SOCIODEMOGRAPHIC factors; DATA analysis software; LABOR supply; COVID-19
    • Abstract:
      Objectives: To describe the participants of a university-based COVID-19 contact tracing course and determine whether the course changed knowledge, attitudes, and intention to participate in contact tracing. Participants: Faculty, staff, and students were eligible. Methods: Surveys evaluated the impact of the course on participant intentions to engage in contact tracing. Logistic regression identified characteristics associated with increased likelihood of participating in contact tracing. Results: Nearly 800 individuals participated, of whom 26.2% identified as Hispanic/Latino and 14.0% as Black. Nearly half (48.8%) planned to conduct contact tracing. While attitudes did not change, knowledge improved (67.9% vs. 93.8% scores on assessments; p < 0.001). Younger participants and Black individuals were more more likely to be confident that they would participate in contact tracing. Conclusions: Course completion was associated with increased knowledge. Participants were racially and ethnically diverse, highlighting how universities can partner with health departments to develop workforces that reflect local communities. [ABSTRACT FROM AUTHOR]
    • Abstract:
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