MOBILE TECHNOLOGY & ONLINE TOOLS TO TRACK ADHERENCE IN CHRONIC ILLNESS PATIENTS

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.

DEB CHILDRESS, PHD

Chief of Research and Learning Content

BIOGRAPHY

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.

Expertise

  • autism
  • early development
  • behavioral measurement
  • integrating behavioral and biological measurement

Education

  • Postdoctoral fellowship, Carolina Institute for Developmental Disabilities (Institutional NRSA-NICHD), University of North Carolina at Chapel Hill
  • PhD, developmental psychology, University of North Carolina at Chapel Hill
  • BS, psychology (minor in sociology), University of Iowa

Selected Publications

  • Elison, J. T., Wolff, J. J., Heimer, D. C., Paterson, S. J., Gu, H., Hazlett, H. C., Styner, M, Gerig, G., & Piven, J. (in press). Frontolimbic neural circuitry at 6 months predicts individual differences in joint attention at 9 months. Developmental Science.
  • Wassink, T. H., Vieland, V. J., Sheffield, V. C., Bartlett, C. W., Goedken, R., Childress, D. & Piven, J. (2008). Posterior probability of linkage analysis of autism dataset identifies linkage to chromosome 16. Psychiatric Genetics,18(2),85-91.
  • Losh, M., Childress, D., Lam K. & Piven, J. (2008). Defining key features of the broad autism phenotype: A comparison across parents of multiple- and single-incidence autism families. American Journal of Medical Genetics (Neuropsychiatric Genetics), 147B(4):424-33.
  • Wassink, T. H., Piven, J., Vieland, V. J., Jenkins, L., Frantz R., Bartlett, C. W., Goedken, R., … Sheffield, V.C. (2005). Evaluation of the chromosome 2q37.3 gene CENTG2 as an autism susceptibility gene. American Journal of Medical Genetics (Neuropsychiatric Genetics), 136, 36-44.
  • Barrett, S., Beck, J., Bernier, R., Bisson, E., Braun, T., Casavant, T., Childress, D., … Vieland, V. (1999). An autosomal genomic screen for autism. American Journal of Medical Genetics (Neuropsychiatric Genetics), 88, 609-615. doi: 10.1002/(SICI)1096-8628(19991215)88:63.0.CO;2-L
  • Piven, J., Palmer, P., Landa, R., Santangelo, S., Jacobi, D. & Childress, D. (1997). Personality and language characteristics in parents from multiple-incidence autism families. American Journal of Medical Genetics (Neuropsychiatric Genetics), 74, 398-411.
  • Piven, J., Palmer, P., Jacobi, D., Childress, D. & Arndt, S. (1997). Broader autism phenotype: Evidence from a family history study of multiple-incidence autism families. American Journal of Psychiatry, 154, 185-190.