There has been a proliferation of digital health solutions over recent years, but average user numbers and overall adoption rates are often low.
In the past, digital patient solutions have often suffered from a blind spot when it came to adoption; partly because it’s an undoubtedly complicated challenge to address, but also because it’s easy to lean on assumptions about what drives behavior rather than applying academic theory to it.
David Mulligan, Head of Consulting, and Sinéad Ní Mhurchadha PhD, Senior Consultant in Behavioral Science here at S3 Connected Health, recently worked with pharmaphorum on an article about designing digital solutions that drive adoption for their latest Deep Dive issue.
In this article, David and Sinéad offer advice on embedding behavioral science techniques into the overall design process for digital patient solutions and discuss the need to identify a core adoptable solution; the core of a solution, upon which future iterations can be built and scaled.
They reveal how planning for adoption should take place throughout the design and development process. Their experience has shown that by considering the perspectives of both patients and HCPs, pharma firms can understand what will impact the likelihood of adoption for any new digital patient solution and plan accordingly.
Leveraging behavioral science and analyzing a user’s capability to use a digital health solution, the motivations they may have to use it, and the external opportunities that can influence whether it's available to them, can lead to solutions that not only drive adoption but have an impact on care delivery and healthcare outcomes.
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