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

Nongyao KasatpibalPeninnah OberdorferWasan KatipRaktham MektriratUsanee AnukoolKwaunpanomporn Thummathai
Published in: Medicina (Kaunas, Lithuania) (2022)
Background 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 (R 2 = 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.
Keyphrases
  • coronavirus disease
  • sars cov
  • healthcare
  • primary care
  • mental health
  • respiratory syndrome coronavirus
  • electronic health record
  • cross sectional