The Hosmer and Lemeshow test is basically a way of ascertaining how well the data fits the model. It is calculated using the deviance (-2LL) and produces a p-value based on a chi-square distribution.
It tests the null hypothesis that the model is a good enough fit for the data. As usual, we only reject the null hypothesis if p<.05, so in this case the model is a good fit if the p value is greater than .05 (p>.05).