Director, ACCORDS Dissemination and Implementation Science (D&I) Program
Dr. Glasgow is an internationally known expert in studying ways to improve the translation of research into the health care delivery system. He is a driving force behind the planning and evaluation model RE-AIM (Reach, Effectiveness, Adoption, Implementation, and Maintenance) which determines public health impact. He focuses on designing for dissemination and implementation on feasible, cost-effective, multi-level prevention and illness management programs and methods to promote transparent reporting of implementation outcomes. He has considerable experience in leading research teams and training researchers, including mentorship in implementation science. He has been a primary developer of multiple training programs in D&I science locally and nationally, and currently directs ACCORDS NHLBI-funded K12 IMPACT (IMPlementation to Achieve Clinical Transformation) Career Development Training program in D&I science.
There is a sequence of steps necessary to translate research into practice (RE-AIM)- a research product needs to be adopted in many and representative settings, then implemented with skill; then reach those citizens most at risk; then sustained, etc.; and insufficient attention is paid to almost all of these steps other than initially demonstrating evidence of effectiveness.
Replication is a critically important and undervalued issue across scientific disciplines- and can be enhanced by transparent reporting on external validity issues.
Identifying effective and cost-efficient, equitable ways to provide guidance for new settings to select, implement- and adapt- research tested programs
Using D&I strategies and tools to enhance the scope and value of ‘big data’ approaches- for example, by adding information on patient report and social environmental issues to EHR and ‘omic’ data
Building capacity for and expertise in D&I science
Pay attention to (multi-level) context
Most important health and societal problems are complex, messy, dynamic and tough to change, and attempts to do so may have unintended consequences...if you are not interested in those challenges, D&I science is probably not for you
Advancing science often requires ‘unlearning’ much of the linear reductionistic approaches to research most of us have been trained in (I was).