Background: With widely available web-based information about hypertension, internet has the potential to improve health literacy and to affect clinical outcomes. In this study we assessed the prevalence of health-related internet (HRI) usage by patients with hypertension and its association with health outcomes. Methods: Hypertension was defined by the question, “Have you ever been told by a doctor or health profession that you have high blood pressure?” Participants who answered “Yes” were included in the sample. If the participants stated that they accessed the Internet to look up health information, to learn about health topics in chat groups, to refill prescriptions, to schedule appointments, or to communicate with their provider, they were included in ‘HRI user’ group. Two logistic regression models were run to assess predictors of HRI usage and to explore the impact of HRI use on health status among hypertension patients. All models were controlled by age, gender, marital status, race, education, and poverty income ratio (PIR). Sampling weights were utilized to produce population-based results. Results: The prevalence of HRI use in hypertension patients was: 57% (40-55 yrs), 50% (56-65 yrs) and 26% (>65 yrs). In comparison, 58% (40-55 yrs), 56% (56-65 years) and 29% (>65 yrs) of population without hypertension used HRI. The difference between two groups was not statistically significant. Younger age (OR 4.0, p <.0001 for 40-55 group, and OR 2.6, p=0.001 for 50-65 group), women (OR 1.4, p <.0001), higher education (OR 3.8, p <.0001 for 12+ years of education), or higher PIR (OR 1.3, p=0.02 for PIR=2, and OR=3.1, p <.0001 for PIR>=3) were predictors of using HRI with statistical significance. Compared to Caucasians, Africans Americans (OR 0.5, p=0.04) were less likely to use the HRI. After adjusting for socio-demographic variables, patients who used HRI in the last 12 months were 1.3 time more likely to report improvement in health status (p=0.04). Conclusions: HRI usage between the hypertension patients and general population did not differ significantly in different age groups. Age, gender, education, PIR, and race were significant predictors of HRI usage pattern. HRI use was associated with improvement in health status within 12 months of using internet.