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Impact of Texting & Predictive Potential of Health Literacy on Medication Adherence in Type 2 Diabetes
1. Impact of Texting &
Predictive Potential of
Health Literacy on
Medication Adherence in
Type 2 Diabetes
Kevin A. Clauson, PharmD
2. Acknowledgments
Shara Elrod, PharmD
Angela Garcia, PharmD
Elizabeth Sherman, PharmD
Paula Eckardt, MD
Fadi Alkhateeb, BSPharm, MBA, PhD
Support from Mobilizing for Healthsm
grant program (Disclosure)
3. Objectives
⢠Review fundamentals of diabetes, health literacy, and
mobile health (mHealth)
⢠Explore decision points that informed study design in this
research-in-progress interventional SMS study
⢠Discuss hurdles experienced and future directions
7. Health Literacy
âdegree to which
individuals have the
capacity to obtain,
process, and
understand basic health
information and services
needed to make
appropriate health
decisionsâ
Healthy People 2010
12. 82% of
American
adults owns a
cell phone*
Owns
*Range: 57% (65+) to 90% (18-29)
Pew Cell Phones and American Adults 2010 Does not own
13. Pew Internet Mobile Access 2010
87% of blacks and
Hispanics own a
cell phone*
*Compared to 80% of whites
14. Pew Internet Mobile Access 2010
Hispanics use their
phone to go online
and to text more
frequently than
any other group*
*English-speaking Hispanics
15. Primary Study Objective
Improve medication adherence in
diverse, underinsured population in USA
with T2DM via text message reminders
21. Consumers would most prefer to receive a
medication reminder via:
Phone call 1.3
Buzzing drug vial 2.5
Email 15.2
19.5
Phone alarm
20.3
App
41.1
Text message/SMS
0 20 40 60 80 100
Percent
Source: Consumer Health Information Corporation, April 2011 (n=395)
22. Smartphone OS Share
2% 3%
9%
38% Android
iPhone
21% BlackBerry
Windows
HP webOS
Other
27%
Source: Nielsen Mobile Insights 2011
23. People will stop doing almost anything to
check their text messages
24. Mobile allows targeting of populations
historically associated with health disparities
Annu Rev Public Health 2011;32:399-416.
25. Study of 130 adult patients
with type 2 diabetes
enrolled for 6 month
intervention period
38. Hot-Button Issues
⢠Will privacy and legal challenges stifle innovation and
the delivery of mobile-mediated care to at-risk patient
populations?
⢠Could better decisions have been made about study
design given the available information at the time?
⢠Will our research result in findings consistent with our
research hypotheses and mHealth model assumptions?