There are limited data to provide better understanding of the knowledge/awareness of general population towards liver health in Asia. We sought to identify the knowledge gaps and attitudes towards liver health and liver diseases as well as evaluate associated individual-level and macro-level factors based on contextual analysis. An online survey assessing knowledge, awareness and attitudes towards liver health and disease was conducted among 7500 respondents across 11 countries/territories in Asia. A liver index was created to measure the respondents’ knowledge level and the degree of awareness and attitudes. Multilevel logistic regression was performed to identify individual factors and contextual effects that were associated with liver index. The overall liver index (0–100-point scale) was 62.4 with 6 countries/territories’ liver indices greater than this. In the multilevel model, the inclusion of geographical information could explain for 9.6% of the variation. Residing in a country/territory with higher HBV prevalence (80% IOR: 1.20–2.79) or higher HCV death rate (80% IOR: 1.35–3.13) increased the individual probability of obtaining a high overall liver index. Individual factors like age, gender, education, household income, disease history and health screening behaviour were also associated with liver index (all p-values<0.001). The overall liver index was positively associated with the two macro-level factors viz. HBV prevalence and HCV death rate. There is a need to formulate policies especially in regions of lower HBV prevalence and HCV death rate to further improve the knowledge, awareness and attitudes of the general public towards liver diseases.
|Number of pages||15|
|Journal||Journal of Viral Hepatitis|
|Publication status||Published - 2022 Feb|
Bibliographical noteFunding Information:
This study was funded by Gilead Sciences. Kantar Health received funding from Gilead Sciences for the conduct of the study and development of the manuscript The authors acknowledge the valuable support from Dr. Vince Grillo of Kantar Health for overseeing the development of this study, along with Guo Wenjia, a biostatistician in Kantar Health who supported and reviewed the statistical modelling for this study. The authors also acknowledge the valuable support from Stephanie Tan from APCO for her feedback and contribution to the study.
This study was funded by Gilead Sciences. Kantar Health received funding from Gilead Sciences for the conduct of the study and development of the manuscript
© 2021 John Wiley & Sons Ltd
All Science Journal Classification (ASJC) codes
- Infectious Diseases