Keywords

Chinese, COVID-19, eHealth literacy, Nursing

 

Authors

  1. Liu, Qian PhD, RN
  2. Huang, Run MSN, RN
  3. Xia, Lin BSc, RN
  4. Yang, Bing Xiang PhD, MSN, BM, RN
  5. Liu, Shuo MSN, RN
  6. Kang, Li Jun MD, PhD
  7. Chen, Jie PhD, RN
  8. Luo, Dan PhD, RN
  9. Ge, Hou Rui BSc
  10. Xie, Ya Dian BSc, RN
  11. Liu, Zhongchun MD, PhD
  12. Hu, Qin BSc, RN
  13. Chen, Qin MSN, RN
  14. Wang, Xiao Qin PhD, MSN, RN

Abstract

The Coronavirus Disease 2019 (COVID-19) pandemic has become a leading societal concern. eHealth literacy is important in the prevention and control of this pandemic. The purpose of this study is to identify eHealth literacy of Chinese residents about the COVID-19 pandemic and factors influencing eHealth literacy. A total of 15 694 individuals clicked on the link to the questionnaire, and 15 000 agreed to participate and completed the questionnaire for a response rate of 95.58%. Descriptive statistics, [chi]2 test, and logistic regression analysis were conducted to analyze participants' level of eHealth literacy about COVID-19 and its influencing factors. The results showed 52.2% of participants had relatively lower eHealth literacy regarding COVID-19 (eHealth literacy score <= 48). The scores of the information judgment dimension (3.09 +/- 0.71) and information utilization dimension (3.18 +/- 0.67) of the eHealth literacy scale were relatively lower. The logistics regression showed that sex, age, education level, level of uncertainty, having people around the respondent diagnosed with COVID-19, relationship with family, and relationship with others were associated to eHealth literacy ([chi]2 = 969.135, P < .001). The public's eHealth literacy about COVID-19 needs to be improved, especially the ability to judge and utilize online information. Close collaboration among global health agencies, governments, healthcare institutions, and media is needed to provide reliable online information to the public. Interventions to improve eHealth literacy should take into account and accentuate the importance of sex, age, educational background, level of uncertainty, exposure to disease, and social support.