• Medicina · Apr 2022

    Factors Predicting Practices in Prevention of COVID-19 and Impacts among Population in Chiang Mai, Thailand.

    • Nongyao Kasatpibal, Peninnah Oberdorfer, Wasan Katip, Raktham Mektrirat, Usanee Wattananandkul, and Kwaunpanomporn Thummathai.
    • Division of Nursing Science, Faculty of Nursing, Chiang Mai University, Chiang Mai 50200, Thailand.
    • Medicina (Kaunas). 2022 Apr 1; 58 (4).

    AbstractBackground and objectives: The pandemic of COVID-19 is a global concern requiring urgent and effective action. However, the data on prevention practices and the impact of COVID-19 among the Thai population have not been clearly described. This study aimed to examine the knowledge, attitudes, perception, practices, and factors predicting practices in the prevention of COVID-19 and to study the impact of COVID-19 on people’s livelihoods. Materials and Methods: A cross-sectional study was performed between April and November 2020. A questionnaire eliciting demographic data and information on knowledge, attitudes, perception, prevention practices, and impact of COVID-19 was given to 500 people who lived in Chiang Mai, and 480 usable questionnaires were returned, for a response rate of 96.0%. Data were analyzed using descriptive statistics and multivariate linear regression. Results: Less than half of the participants had a high level of knowledge (45.4%) about COVID-19. Most of them had a high level of attitudes (95.6%), perception (72.1%), and prevention practices (90.4%). Female (β = 0.11, p = 0.006), patient status (β = 0.17, p < 0.001), knowledge (β = −0.10, p = 0.020), attitudes (β = 0.37, p < 0.001), and perception (β = 0.21, p < 0.001) about COVID-19 prevention were the predicting factors for overall prevention practices (R2 = 0.288). Most participants perceived the overall impact of COVID-19 at moderate and high levels (47.1 and 37.8%, respectively). The highest impact was an economic burden, followed by psychological, social, and physical impacts. Conclusions: Policymakers should enhance attitudes and perception about COVID-19 prevention to improve the COVID-19 prevention practices. This may help to reduce the new cases of COVID-19 and may result in reducing the impact of COVID-19 on people’s livelihoods.

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