Implementation Science in Genomic Medicine: Why we need it now!Posted on by
- There is a need to incorporate rigorous implementation science methods that are grounded in theory into genomic medicine research. Less than 2% of identified articles incorporated implementation science frameworks or theories. Perhaps as a result, studies often neglected the measurement of contextual factors that drive implementation. The unit of analysis in >98% of published studies were the individual, rather than the provider or health system. Incorporating multilevel contextual factors will be essential in understanding how to effectively implement genomic medicine into clinical and community health settings.
- Implementation research in genomic medicine must move into more diverse settings and populations in order to improve population health and reduce health inequities. The majority of published studies occurred within an academic medical center setting. Fewer than half of the included studies reported race/ethnicity data, challenging our ability to assess racial/ethnic disparities and the generalizability of study findings across subpopulations. In addition, the majority of studies were in oncology, likely reflecting the current evidence base in the field. However, as evidence accrues, research in other disease areas will be needed.
- Most studies were observational, many reporting barriers and facilitators for genomic medicine implementation. The time is ripe to move beyond observational study designs and to begin testing evidence-based implementation strategies to optimize genomic medicine.
- Few studies reported the use of collaborative processes (e.g., key stakeholders) and sustainability indicators (e.g., monetary and non-monetary costs, workforce needs, infrastructure). By incorporating more collaborative processes, we can aid successful implementation of genomic medicine.
Implementation Science in Genomic Medicine: Why we need it now! | | Blogs | CDC