BACKGROUND: As primary care moves toward a system of population health management, providers will need to engage patients outside traditional office-based interactions. OBJECTIVE: We assessed patient attitudes regarding technology use to communicate with their primary care team or to engage with other patients outside typical office settings. Design/Participants/Main Measures We c o n d u c t e d a n a t i o n a l s u r v e y u s i n g G f K KnowledgePanel ® to examine attitudes on the use of digital technology (email, text messaging, and social media such as Facebook and Twitter) to communicate with primary care teams about health behavior goals and test results. We also assessed attitudes toward the use of digital technologies to engage with other patients in activities such as peer coaching. KEY RESULTS: Of the 5119 panel members invited to participate, 3336 completed the survey (response rate, 65.2 %). Among respondents, more than half (58 %) reported using Facebook, and nearly two-thirds (64.1 %) used text messaging. Overall, few participants were willing to communicate about health goals via social media (3.1 %) or text messaging (13.3 %), compared to email (48.8 %) or phone (75.5 %) (results were similar for communication about test results). Among those that used text messaging, race/ethnicity was the only factor independently associated with greater support for text messaging [African American (OR 1.44; 95 % CI, 1.01-2.06) and Hispanic (OR 1.8; 95 % CI, 1.25-2.59)] in multivariate models. Participants interested in engaging in peer coaching through Facebook (11.7 %) were more likely to be younger (p<0.0001), female (p<0.001), and a racial/ ethnic minority (African American, non-Hispanic or Hispanic, p<0.0004). CONCLUSIONS: Despite regular use of new digital technology such as text messaging and social media, few participants supported using these tools for communicating with their physicians' practice. Participants were most supportive of using email for communication. Contrary to previous studies, among users of technology, low socioeconomic status and racial/ethnic minorities were equally or more likely to support use.