As health designs and technologies advance, it is important to ensure that new designs do not disadvantage particular groups and negatively impact already underserved populations. The goal of this chapter is to provide best practices and applied examples to instruct human factors practitioners (researchers and designers) in creating health-care designs that are inclusive of various populations. The chapter begins by describing concepts relevant to inclusive design and previous research highlighting the consequences of poor inclusive design. This overview sets a foundation for discussing general best practices and as well as guidance associated with three approaches: using personas, maximum variance sampling, and community-based participatory research. Each approach will be accompanied by an applied case study to demonstrate the approach in action.
Design for Health, January 2020, Pages 305-322,