Mobile cross-platform gesture- guided visual pain tracking for endometriosis

Rapid growth in mobile technologies since the 2000s is reflected in continued smartphone adoption and the expansion of mobile health (mHealth) smartphone applications for pain assessment. Yet there exists a lack of research-based pain assessment apps for endometriosis, a prevalent yet underrepresented disorder where pain management plays a vital role. The predominance of the iOS and Android smartphone operating systems has previously required developers to maintain two separate codebases and development environments in order to access a combined 99% market share. Since 2015, cross-platform development softwares have allowed for maintenance of a single codebase and environment. This thesis explores the development of a cross-platform smartphone app for endometriosis pelvic pain assessment where design decisions are informed by endometriosis and pain assessment research as well as engineering particularities of the React Native framework. The completed prototype along with this thesis’ design discussion indicate that research findings into endometriosis pain assessment can be successfully adapted via React Native into a visual, gesture- guided functionality for the self-assessment of endometriosis related pelvic pain.