Descriptive statistics were performed. Using cross tabulations, we analysed univariate associations between intention to accept vaccine and the following variables: sex, age (≤30 v >30 years), specialty, job title, years working in health services, work site, weekly number of contacts with patients, whether the respondents had seasonal flu vaccination in 2008-9, how likely they thought they were to get flu if there was a pandemic, and how seriously they thought a pandemic would affect their lives. We tested the statistical significance of the associations using Pearson's χ 2 test, Fisher's exact test, or trend tests where appropriate. Trend tests were used to test associations between one binary and one ordinal variable, and for two ordinal variables if a trend was apparent in the data. Multiple logistic regression was used to evaluate independent predictors of intention to accept vaccine. Demographic variables and variables on vaccination history and attitudes were tried in the models. A flexible modelling approach was adopted, and variables were retained in the model if they had P<0.1.