For analyses of rescue medication use, investigators will focus on albuterol and levalbuterol inhaler users. The standardized number of rescue inhalers dispensed will be modeled as count data in difference-in-differences models. ITS models will be used to model changes in level and trend of monthly rates of rescue inhalers dispensed, as in previous studies. Analyses will also model the ratio of controller medications to total asthma medications. For analyses of asthma-related ED visits and hospitalizations, outcomes can be binary, counts, or continuous. The investigators will use logistic GEE models to estimate the effect of switching to each type of HSA-HDHP on binary outcomes such as any asthma-related hospitalization. Negative binomial regression will be used to model the effect for count outcomes such as ED visits. Investigators will select the conditional mean and variance functions based on the actual data, using a log link with a Gamma error distribution.