HSR Center for Health Information and Communication (CHIC)
Edward J. Miech, EdD
Affiliate Investigator, VA HSR Center for Health Information and Communication
Assistant Professor of Emergency Medicine, Indiana University School of Medicine
Research Scientist, Indiana University Center for Health Services and Outcomes Research
Research Scientist, Center for Health Services Research, Regenstrief Institute, Inc.
Dr. Edward Miech has in-depth experience in conducting mixed-methods evaluations in health service research and implementation science, with over 12 years of service as a former VA research scientist in the Indianapolis-based HSR CHIC and the Expanding Expertise Through E-health Network Development (EXTEND) QUERI.
Dr. Miech is also a national expert in applying Configurational Comparative Methods (CCMs) to health services research and implementation studies, especially coincidence analysis. CCMs offer leading-edge quantitative methods to analyze how conditions directly link to outcomes, and represent a mathematical, case-oriented approach that uses applied set theory and Boolean algebra to examine multifactorial causality (i.e., when several factors together have a joint effect on an outcome). His familiarity with CCMs stems from applying them in his own national VA study, from presentations he has delivered at national conferences (including multiple presentations at HSR&D National Meetings, the Society for Implementation Research Collaboration biannual conference, the NIH Conference on the Science of Dissemination & Implementation, and national VA HSR&D Cyberseminars), and from his experience leading “All Things Configured,” a national community of practice with over 140 members focused on applying CCMs to health services research. He has been a co-investigator on multiple VA national projects in the dedicated role of configurational analyst. Over the last two years, Dr Miech has published CCMs-related articles in the Annals of Family Medicine, Hepatology, Implementation Science, Medical Care, The Gerontologist, the Journal of Mixed Methods Research and the inaugural special issue of the Journal of General Internal Medicine for implementation science.
