Defense Date


Document Type


Degree Name

Master of Science


Biomedical Engineering

First Advisor

Ding-Yu Fei, PhD

Second Advisor

Wally R Smith, MD

Third Advisor

Diane T Pawluk, PhD

Fourth Advisor

Thokozeni Lipato, MD


In this study we present feasibility of a mobile monitoring and reporting system that would provide an accurate unbiased screening tool to systematically analyze opioid adherence in Sickle cell disease patients. In addition, the software simultaneously measures pain. The Mobile Applications Rating Scale: a new and validated tool for assessing the quality of health mobile apps for engagement, functionality, aesthetics, information quality, subjective quality, relevance and overall impact was administered post usage to evaluate the application.

A total of 28 patients were recruited to review and test the software at one sitting. The majority of the population found the application to be relevant for their care. Patients were also asked to report on the completeness of information within the app, the majority (96%) reported on the application’s completeness while 4% estimated the information to be minimal or overwhelming. The quality of information as it pertains to sickle cell patients was overwhelimingly reported to be relevant (91.7%); only 8.3% found the application to be poorly relevant to sickle cell disease. The application’s performance was positively rated while the ease of its use positively rated at 91.7%. Most participants (85.7%) found the application to be interesting to use while 74% found it entertaining. All users found the application’s navigation to be logical and accurate with consistent and intuitive gestural design.

We conclude that surveyed patients believe it is feasible to use a smartphone application specifically targeted to monitor opioid use and behavior in patients with sickle cell disease (SCD)-associated pain


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