3C Institute
CDC
ID: 1R43DP003101-01
PI: JANEY MCMILLEN
TERM: 09/11 – 08/12
The need to improve patient adherence to treatment protocol is immense, both for improved individual patient outcomes and advancement of scientific treatment knowledge. Past interventions to improve adherence have had mixed results, with the most success stemming from those that were very complex and costly. Convenient, cost effective tools to increase clinician/researcher awareness of adherence while creating minimal patient burden are needed. Self-monitoring (SM) is increasingly used across diverse medical fields as both a clinical tool and research method to gather critical adherence data from patients. SM presents myriad advantages over traditional data collection methods including lower recall bias, increased generalizability, and lower patient burden. However, traditional paper-and-pencil methods of SM are too complex and labor intensive for patients to complete easily, resulting in poor compliance and inaccurate, low quality data. In order to best sample patients’ behaviors and experiences in real time and in natural environments, computerized SM technologies (C-SM) for mobile devices hold tremendous promise, with patients reporting them to be more convenient, less time consuming, easier to use, and more motivating to complete.
The goal of this Phase I project is to develop and test a technology infrastructure to support creation and broad scale deployment of C-SM for mobile devices. The proposed Mobile Application System for Health Monitoring (MAS-HM) would allow clinicians and medical researchers to: (a) create C-SM assessments, protocols, and prompts specifically for deployment to mobile devices (smartphone app, mobile web, or SMS text messaging), (b) monitor and track patients’ SM progress, and (c) conduct synchronous data analysis to determine patient adherence level. Most importantly, the MAS-HM will utilize a ubiquitous technology platform that would remove key barriers to adopting C-SM methods and make mobile deployment of C-SM accessible for any medical intervention or research study. This Phase I proposal will accomplish three specific aims: 1) Design the MAS-HM prototype; 2) Conduct feasibility groups with clinicians, medical researchers, and adolescents and young adults with chronic illness; and 3) Establish final prototype specifications using data compiled and analyzed from the feasibility groups. These specifications will be used to guide Phase II development prior to efficacy testing. The final product will leverage the ubiquity of mobile devices combined with their powerful networking and computational capabilities to significantly increase C-SM accuracy, timeliness, and ease of use. Greater access to and use of C-SM should translate into improved patient adherence and treatment effectiveness.
Dr. Childress obtained her PhD in psychology at the University of North Carolina at Chapel Hill. Prior to coming to 3C Institute, she served as a research associate and a postdoctoral fellow in the Carolina Institute for Developmental Disabilities at the University of North Carolina at Chapel Hill working on a longitudinal imaging study aimed at identifying the early markers of autism through behavioral and imaging methodologies. She has 19 years of autism research experience, during which she has examined the behavioral, personality, and cognitive characteristics of individuals with autism and their family members. Dr. Childress also has experience developing behavioral and parent report measurement tools, coordinating multi-site research studies, and collecting data from children and families. She has taught courses and seminars in general child development, autism, and cognitive development at the University of North Carolina at Chapel Hill.