Since insurance status frequently distinguishes vulnerable/disadv

Since insurance status frequently distinguishes vulnerable/disadvantaged patients, it could be an informative indicator Akt inhibitor review for identifying populations with differential

eHealth use. Feasible policy solutions may need to vary by insurance type, where separate. Tailored solutions are developed for the relevant stakeholders and population needs within the commercial insurance, Medicare, Medicaid, and uninsured groups. Presently, scarce information exists on how individuals of varying insurance types use eHealth, making it difficult to evaluate utilization by individuals with varying health care coverage. In this report, we address a gap in the literature on eHealth by examining U.S. adult use of the Internet and mHealth across insurance types. In short, we compare use by insurance status because we wish to answer the question of whether insurance type as a group level, categorical indicator that affects patient interaction with the health care system, would be associated with technology use. Data from impartial sources, like the Pew Research Center, on the uses of eHealth are essential for policy makers seeking to track use and need. The Pew survey data is rich across a range of dimensions that allow for identifying factors that might contribute to differences in eHealth use. These associated factors could have distinct implications for innovators and policy makers (Cohen & Adams, 2011; Goel et

al., 2011; Hsu et al., 2005). Since policy interventions often target populations according to insurance coverage, this study also contributes to the literature in assessing whether facilitating technology use primarily on the basis of insurance type could help close the “digital divide.” Methods The Pew Charitable Trusts

interviewed a nationally representative random sample of 3,014 adult U.S. residents, age 18+. Princeton Survey Research Associates, a survey firm, conducted the interviews between August 7 to September 6 in 2012 through landline and cell phone interviews. The survey firm identified the subjects through random digit dialing (i.e., random generation of the last two digits of telephone numbers). The publicly available dataset includes sampling weights based on data for adults living in households containing a telephone Carfilzomib in the Census Bureau’s Current Population Survey (March 1999). Here we present only weighted survey responses. The survey conducted in 2012 is part of a series of fielded health related surveys that Pew has conducted every two years since 2006. We categorized subjects into four groups according to their self-reported, primary source of health insurance in 2012: 1) Medicare; 2) Medicaid; 3) private insurance; and 4) no health insurance. In the Pew survey, subjects reported coverage through Medicare, Medicaid, private group insurance, private individual insurance, and/or other. Other included people reporting some insurance without specifying the source (i.e.

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