Bringing patient perspectives into value and health technology assessments is widely acknowledged to be lacking. In particular, data inputs typically don’t reflect patient diversity. They also fail to capture real-world factors that matter to communities living with chronic health conditions, such as whether treatments are likely to continue or even exacerbate current inequities in the health care system.

One of our nine guiding principles is improving attention to equity in health care decision-making and delivery. The second in a three-part series on health equity, featured leading experts who are devising innovative solutions for improved data inputs and analytic methods, thus supporting patient representativeness in research and consideration of the equity impacts of new treatments.

The webinar addressed challenges and potential solutions in improving patient representativeness in research, as well as existing and emerging methods that could support a fuller consideration of equity in value assessments.