Prediction models for pain volatility and engagement patterns of mobile pain app users

Chronic pain costs Canadians more than any other chronic condition and affects 1 in 6 Canadians. Scientific publications of data collected from pain management apps are important to help both consumers and healthcare professionals select the right app. Developed by ManagingLife, Manage My Pain is an app-based pain management platform that allows chronic-pain users to track and analyze their pain experiences. ManagingLife wants to understand and predict pain experiences and engagement patterns of its growing user base of 30,000. We plan to employ scientific methods that will help predict the change in pain ratings, i.e. pain volatility of the app users over time. We also aim to predict the level of user engagement in future based on the current usage behavior and users’ profile information such as gender and age. Through this research, Manage My Pain platform will have analytic capabilities that will enable targeted product development, drive retention and engagement for chronic pain patients.

Faculty Supervisor:

Jane Heffernan;Joel Katz

Student:

Partner:

ManagingLife

Discipline:

Mathematics

Sector:

Professional, scientific and technical services

University:

York University

Program: