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Steps to Develop a Mobile App for Pain Assessment of Cancer Patients: A Usability Study
Jeeyae Choi1, Elizabeth Baker, Swanand Nalawade
1Author Affiliations: School of Nursing, College of Health and Human Services (Dr Choi), Cameron School of Business (Dr Baker and Mr Nalawade), University of North Carolina Wilmington; and College of Engineering, University of Wisconsin-Madison (Mr Lee).
Abstract:
Health-related mobile apps have the potential to allow patients and providers to proactively and responsibly manage pain together. However, there is a gap between the science of pain and current mobile apps. To develop a prototype science-based pain assessment mobile app (PainSmart) for Android smartphones, pain assessment tasks were extracted from a clinical guideline. These tasks were then converted to activity diagrams and became the logic of PainSmart. Five participants diagnosed with breast cancer evaluated usability of PainSmart with the System Usability Scale. Patient experience was recorded using Camtasia Studio Version 9 software. The five participants were able to explore the pain app after only 20 minutes of training. Using the System Usability Scale with comments, participant mean usability score was 77.5; above 68 is considered an above average system. A prototype of a pain assessment mobile app for cancer patients demonstrated high usability and will be refined based on participant feedback.
