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Despite improvements in the United States population's health in the last 25 years, significant disparities in mental health care outcomes persist for those with common mental disorders. Related to health technology, the "digital divide" has been described as the differences in the level of access to basic technology hardware (such as mobile phones) or broadband Internet. Previously, there were differences in access to devices between racial/ethnic and socioeconomic groups; however, that divide has largely closed. The focus of technology growth recently has been on the use of these devices in the form of mobile apps, sensors, and predictive analytic approaches. In this article, we explore the background of health disparities and social determinants of health as well as the potential risks and opportunities represented by the new types of digital technologies that are being created. [ABSTRACT FROM AUTHOR]

Purpose: The primary goal of this study was to test the feasibility of an educational online self-assessment of burnout, resilience, trauma, depression, anxiety, and common workplace stressors among nurses working in a pediatric intensive care unit or neonatal intensive care unit setting. The secondary, exploratory objectives were to estimate the prevalence of psychiatric symptoms in this sample and to identify those variables that most strongly predict burnout., Design and Methods: Data from optional and anonymous online measures were analyzed for 115 nurses (67.9% aged 25-44; 61.7% Caucasian) working in an urban children's hospital pediatric or neonatal ICU. Multiple linear regressions identified demographic variables and workplace stressors that significantly predicted each of three components of burnout., Results: Most respondents found the educational assessment and feedback to be helpful. Choosing nursing as a second career was associated with better resilience. Having worked in ICU settings longer and being older were both linked to lower levels of anxiety. Predictors of burnout varied across the three burnout subscales., Conclusions: Implementation of an online self-assessment with immediate educational feedback is feasible in critical care settings. The variability of predictors across the three burnout subscales indicates the need for tailored interventions for those at risk. Future research may include follow-up of nurses to examine changes in scores over time and expansion of the tool for other medical personnel., Practice Implications: An educational online self-assessment can be a helpful tool for pediatric critical care nurses experiencing varying degrees of burnout and distress., (Copyright © 2018 Elsevier Inc. All rights reserved.)