Center for Health Equity Research and Promotion
Armando Rotondi, PhD
CHERP COIN Investigator
Investigator, VA VISN4 Mental Illness Research, Education and Clinical Center (MIRECC)
Associate Professor of Health Systems Engineering and Health Services Research at the University of Pittsburgh, Center for Behavioral Health and Smart Technology, Clinical and Translational Science Institute, Critical Care Medicine and Health Policy and Management
Armando Rotondi, PhD is an Associate Professor of Health Systems Engineering and Health Services Research at the University of Pittsburgh, Center for Behavioral Health and Smart Technology, Clinical and Translational Science Institute, Critical Care Medicine and Health Policy and Management. He is also an investigator in the VISN 4 Mental Illness Research, Education and Clinical Center (MIRECC) at the VA Pittsburgh Healthcare System (VAPHS).
Dr. Rotondi focuses on health systems engineering and health services research methods. His research involves the design, development, and testing of systems to improve the quality and cost performance of health, mental health, and social services and access to these services. Specifically, he focuses on understanding the needs of health care consumers with severe chronic illnesses and their family members or other informal support persons. He then uses this information to help design on-line interventions to promote self-management and well-being, particularly once consumers are outside of healthcare settings and back in their communities.
His current research includes federally funded projects to develop web-based treatment for returning Operation Enduring Freedom/Operation Iraqi Freedom (OEF/OIF) Veterans with complicated mild traumatic brain injury and their family members; a web-based intervention to deliver multi-family psychoeducational therapy to community dwelling persons with schizophrenia and their family members; and creation of guidelines for designing website interfaces for persons with special cognitive needs, such as those with severe mental illness and others with cognitive impairments.
Published ResearchDesigning eHealth Applications to Reduce Cognitive Effort for Persons With Severe Mental Illness: Page Complexity, Navigation Simplicity, and Comprehensibility. JMIR human factors (2017)
Critical design elements of e-health applications for users with severe mental illness: singular focus, simple architecture, prominent contents, explicit navigation, and inclusive hyperlinks. Schizophrenia Bulletin (2015)
- Health Systems Engineering
- Web-based Treatment