Fatmah Abdulelah Almoayad1, Lujain Abdullah Bin-Amer2, Samira Mahboub1, Alaa Mohammed Alrabiah1, Anwar Mohammed Alhashem3. 1. Health Education Program, Department of Health Sciences, College of Health and Rehabilitation Sciences, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia. 2. Health Education Department, Saudi Alzheimer's Disease Association, Riyadh, Saudi Arabia. 3. Health Education Program, Department of Health Sciences, College of Health and Rehabilitation Sciences, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia. amalhashem@pnu.edu.sa.
Abstract
INTRODUCTION: This cross-sectional descriptive study aimed to use the knowledge, attitudes, and practices (KAP) model as a framework to assess compliance with preventive measures against COVID-19 among residents of the city of Riyadh. METHODOLOGY: In May 2020, electronic study questionnaires on Microsoft Forms were distributed to a sample of 886 Riyadh residents via social media and WhatsApp groups. RESULTS: We found that the participants had good knowledge. However, less than half of the participants exhibited positive attitudes and good practices toward COVID-19. There was a statistically significant positive correlation between their practices, attitudes, and knowledge. The most practiced behaviours among the participants were (1) a commitment to home quarantine, (2) the use of a tissue or the inside of an elbow when coughing or sneezing, (3) hand washing for a minimum of 20 seconds, and (4) sterilization of surfaces/equipment and wearing masks in public places. Regression analysis showed that knowledge, attitudes, and age were the three factors that could predict the practices of preventive behaviours against COVID-19. CONCLUSIONS: A higher likelihood of practicing preventive measures during the COVID-19 pandemic was significantly associated with one's total knowledge and attitude scores. Future educational campaigns are recommended to focus on residents' susceptibility to COVID-19, its severity, mask wearing, and the disinfection of surfaces and appliances when targeting public audiences. In addition to raising awareness, public policies that support preventive practices would improve the likelihood of compliance. Copyright (c) 2021 Fatmah Abdulelah Almoayad, Lujain Abdullah Bin-Amer, Samira Mahboub, Alaa Mohammed Alrabiah, Anwar Mohammed Alhashem.
INTRODUCTION: This cross-sectional descriptive study aimed to use the knowledge, attitudes, and practices (KAP) model as a framework to assess compliance with preventive measures against COVID-19 among residents of the city of Riyadh. METHODOLOGY: In May 2020, electronic study questionnaires on Microsoft Forms were distributed to a sample of 886 Riyadh residents via social media and WhatsApp groups. RESULTS: We found that the participants had good knowledge. However, less than half of the participants exhibited positive attitudes and good practices toward COVID-19. There was a statistically significant positive correlation between their practices, attitudes, and knowledge. The most practiced behaviours among the participants were (1) a commitment to home quarantine, (2) the use of a tissue or the inside of an elbow when coughing or sneezing, (3) hand washing for a minimum of 20 seconds, and (4) sterilization of surfaces/equipment and wearing masks in public places. Regression analysis showed that knowledge, attitudes, and age were the three factors that could predict the practices of preventive behaviours against COVID-19. CONCLUSIONS: A higher likelihood of practicing preventive measures during the COVID-19 pandemic was significantly associated with one's total knowledge and attitude scores. Future educational campaigns are recommended to focus on residents' susceptibility to COVID-19, its severity, mask wearing, and the disinfection of surfaces and appliances when targeting public audiences. In addition to raising awareness, public policies that support preventive practices would improve the likelihood of compliance. Copyright (c) 2021 Fatmah Abdulelah Almoayad, Lujain Abdullah Bin-Amer, Samira Mahboub, Alaa Mohammed Alrabiah, Anwar Mohammed Alhashem.