This study is the first to examine how home health agency ownership and other determinants affect patient satisfaction with Medicare home health agency care. For the first time, data residing in three separate Medicare databases have been integrated for analysis. Multiple linear regression was used with independent variables that measure seven categories of home health agency characteristics and services: ownership type, costs, cost-related ratios, revenue, quality, years certified, and visits. Results show five variables statistically significant in a model predicting home health agency patient satisfaction; the two largest contributors are total home health costs and years of agency certification. The study gives policymakers and home health agencies insights into the key determinants of patient satisfaction and demonstrates the value of integrating multiple Medicare databases.