ArticleTechnological forecasting and social change2023
Prediction of compliance with preventive measures among teachers in the context of the COVID-19 pandemic.
Article in Technological forecasting and social change, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
The objective of this study is to examine, in primary and high schools, teachers' compliance with preventive infection control measures (in the context of the COVID-19 pandemic). Inspired by the technology acceptance model (TAM) and occupational health and safety (OHS) literature on personal protective equipment (PPE) use, we propose a model of compliance with preventive measures among teachers. Data were collected following an observational, cross-sectional design. The data for the study were collected via a questionnaire survey of teachers working in the province of Quebec, Canada. To study the impact of the explanatory variables on the dependent variable, we developed a multiple linear regression model. This model was estimated to assess the preventive measures as a whole (six items). Results show that having tested positive for a COVID test in the last year, judging that the situation does not require the use of the mask or the protective glasses, training received on preventive measures, factors related to comfort and use of protective eyewear, as well as age influence teacher compliance with COVID-19 preventive measures.
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