Data analysis
Data management and statistical analyses were carried out using the
Statistical Package for the Social Sciences (SPSS) version 22.0 for
Windows (SPSS, Inc., Chicago, IL, USA). All descriptive statistics were
computed for all items. Categorical data were expressed as frequencies
and percentages. Sociodemographic data, prior knowledge, and perceived
benefits about the ECS program were analyzed with the chi-square test to
check the association with an intention for ECS, and then a multivariate
logistic regression model was used to further explore possible
predictive factors. Significance was assessed atP <0.05.
For multivariate logistic regression analysis, some demographics were
made cutoffs. The cutoff used for education level was the Bachelor’s
degree. Total household income was divided into two groups: under
150,000 CNY (approximately 21,700 US Dollars) and 150,000 CNY or
greater. The amount that a participant was willing to pay for ECS at
their own expense was also divided into two categories: under 1,000 CNY
(approximately 145 US Dollars) and 1,000 CNY or more. The average
exchange rate of CNY against US Dollar in July 2020 was approximately 1
US Dollar = 6.9 CNY. The odds ratio (OR) together with the 95%
confidence interval (CI) were reported for each variable.