Alcuni abstract di articoli che trattano argomenti relativi all'eHealth

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Creating Technology-enhanced Practice: A University-Home Care-Corporate Alliance

Insuring full benefit of consumer health informatics innovations requires integrating the technology into nursing practice, yet many valuable innovations are developed in research projects and never reach full integration. To avoid this outcome, a team of researchers partnered with a home care agency’s staff and patients and their corporate parent’s Information Systems and Research group to create a Technology-Enhanced Practice (TEP) designed to enhance care of home bound patients and their family care givers. The technology core of TEP, the HeartCare2 web site, was built in a collaborative process and deployed within the existing patient portal of the clinical partner. This paper describes the innovation and the experience of bringing it into full operation

Human factors analysis, design, and evaluation of Engage, a consumer health IT application for geriatric heart failure self-care

Human factors and ergonomics (HFE) and related approaches can be used to enhance research and development of consumer-facing health IT systems, including technologies supporting the needs of people with chronic disease. We describe a multiphase HFE study of health IT supporting self-care of chronic heart failure by older adults. The study was based on HFE frameworks of "patient work" and incorporated the three broad phases of user-centered design: study or analysis; design; and evaluation. In the study phase, data from observations, interviews, surveys, and other methods were analyzed to identify gaps in and requirements for supporting heart failure self-care. The design phase applied findings from the study phase throughout an iterative process, culminating in the design of the Engage application, a product intended for continuous use over 30 days to stimulate self-care engagement, behavior, and knowledge. During the evaluation phase, we identified a variety of usability issues through expert heuristic evaluation and laboratory-based usability testing. We discuss the implications of our findings regarding heart failure self-care in older adults and the methodological challenges of rapid translational field research and development in this domain

Adaptation and Feasibility Study of a Digital Health Program to Prevent Diabetes among Low-Income Patients: Results from a Partnership between a Digital Health Company and an Academic Research Team.

Background. The feasibility of digital health programs to prevent and manage diabetes in low-income patients has not been adequately explored. Methods. Researchers collaborated with a digital health company to adapt a diabetes prevention program for low-income prediabetes patients at a large safety net clinic. We conducted focus groups to assess patient perspectives, revised lessons for improved readability and cultural relevance to low-income and Hispanic patients, conducted a feasibility study of the adapted program in English and Spanish speaking cohorts, and implemented real-time adaptations to the program for commercial use and for a larger trial of in multiple safety net clinics. Results. The majority of focus group participants were receptive to the program. We modified the curriculum to a 5th-grade reading level and adapted content based on patient feedback. In the feasibility study, 54% of eligible contacted patients expressed interest in enrolling (n = 23). Although some participants' computer access and literacy made registration challenging, they were highly satisfied and engaged (80% logged in at least once/week). Conclusions. Underserved prediabetic patients displayed high engagement and satisfaction with a digital diabetes prevention program despite lower digital literacy skills. The collaboration between researchers and a digital health company enabled iterative improvements in technology implementation to address challenges in low-income populations

Designing an Artifact to Empower Chronic Patients for Monitoring Health During a Pandemic: A COVID-19 Screening App

Chronic diseases have been declared an invisible epidemic by the World Health Organization (WHO, 2005). Over the past fifty years, the prevalence of chronic conditions has increased, leading to the disease burden caused by cancer, cardiovascular diseases, diabetes, and mental and substance use disorders (DOH, 2021). Chronic patients need to reimagine how they will empower themselves to effectively manage and monitor their health and wellbeing in a COVID-19 era when frequent in-person health care visits will no longer be feasible. In this study, we propose the dimensions for the design of a mobile-based application that will aid chronic patients and end-users in self-managing and monitoring their health during the pandemic era. Based on an empirical investigation involving pharmacists and researchers, we designed and developed a prototype capable of empowering chronic patients. This study particularly focuses on how technological interventions can help chronic patients self-manage and monitor their health and well-being related to COVID-19 where the user expectations are met with less attrition rates

Use of nonintrusive sensor-based information and communication technology for real-world evidence for clinical trials in dementia

Cognitive function is an important end point of treatments in dementia clinical trials. Measuring cognitive function by standardized tests, however, is biased toward highly constrained environments (such as hospitals) in selected samples. Patient-powered real-world evidence using information and communication technology devices, including environmental and wearable sensors, may help to overcome these limitations. This position paper describes current and novel information and communication technology devices and algorithms to monitor behavior and function in people with prodromal and manifest stages of dementia continuously, and discusses clinical, technological, ethical, regulatory, and user-centered requirements for collecting real-world evidence in future randomized controlled trials. Challenges of data safety, quality, and privacy and regulatory requirements need to be addressed by future smart sensor technologies. When these requirements are satisfied, these technologies will provide access to truly user relevant outcomes and broader cohorts of participants than currently sampled in clinical trials

Holistic System Design for Distributed National eHealth Services

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