Your SlideShare is downloading. ×
0
Impact of Texting & Predictive Potential of Health Literacy on Medication Adherence in  Type 2 Diabetes
Impact of Texting & Predictive Potential of Health Literacy on Medication Adherence in  Type 2 Diabetes
Impact of Texting & Predictive Potential of Health Literacy on Medication Adherence in  Type 2 Diabetes
Impact of Texting & Predictive Potential of Health Literacy on Medication Adherence in  Type 2 Diabetes
Impact of Texting & Predictive Potential of Health Literacy on Medication Adherence in  Type 2 Diabetes
Impact of Texting & Predictive Potential of Health Literacy on Medication Adherence in  Type 2 Diabetes
Impact of Texting & Predictive Potential of Health Literacy on Medication Adherence in  Type 2 Diabetes
Impact of Texting & Predictive Potential of Health Literacy on Medication Adherence in  Type 2 Diabetes
Impact of Texting & Predictive Potential of Health Literacy on Medication Adherence in  Type 2 Diabetes
Impact of Texting & Predictive Potential of Health Literacy on Medication Adherence in  Type 2 Diabetes
Impact of Texting & Predictive Potential of Health Literacy on Medication Adherence in  Type 2 Diabetes
Impact of Texting & Predictive Potential of Health Literacy on Medication Adherence in  Type 2 Diabetes
Impact of Texting & Predictive Potential of Health Literacy on Medication Adherence in  Type 2 Diabetes
Impact of Texting & Predictive Potential of Health Literacy on Medication Adherence in  Type 2 Diabetes
Impact of Texting & Predictive Potential of Health Literacy on Medication Adherence in  Type 2 Diabetes
Impact of Texting & Predictive Potential of Health Literacy on Medication Adherence in  Type 2 Diabetes
Impact of Texting & Predictive Potential of Health Literacy on Medication Adherence in  Type 2 Diabetes
Impact of Texting & Predictive Potential of Health Literacy on Medication Adherence in  Type 2 Diabetes
Impact of Texting & Predictive Potential of Health Literacy on Medication Adherence in  Type 2 Diabetes
Impact of Texting & Predictive Potential of Health Literacy on Medication Adherence in  Type 2 Diabetes
Impact of Texting & Predictive Potential of Health Literacy on Medication Adherence in  Type 2 Diabetes
Impact of Texting & Predictive Potential of Health Literacy on Medication Adherence in  Type 2 Diabetes
Impact of Texting & Predictive Potential of Health Literacy on Medication Adherence in  Type 2 Diabetes
Impact of Texting & Predictive Potential of Health Literacy on Medication Adherence in  Type 2 Diabetes
Impact of Texting & Predictive Potential of Health Literacy on Medication Adherence in  Type 2 Diabetes
Impact of Texting & Predictive Potential of Health Literacy on Medication Adherence in  Type 2 Diabetes
Impact of Texting & Predictive Potential of Health Literacy on Medication Adherence in  Type 2 Diabetes
Impact of Texting & Predictive Potential of Health Literacy on Medication Adherence in  Type 2 Diabetes
Impact of Texting & Predictive Potential of Health Literacy on Medication Adherence in  Type 2 Diabetes
Impact of Texting & Predictive Potential of Health Literacy on Medication Adherence in  Type 2 Diabetes
Impact of Texting & Predictive Potential of Health Literacy on Medication Adherence in  Type 2 Diabetes
Impact of Texting & Predictive Potential of Health Literacy on Medication Adherence in  Type 2 Diabetes
Impact of Texting & Predictive Potential of Health Literacy on Medication Adherence in  Type 2 Diabetes
Impact of Texting & Predictive Potential of Health Literacy on Medication Adherence in  Type 2 Diabetes
Impact of Texting & Predictive Potential of Health Literacy on Medication Adherence in  Type 2 Diabetes
Impact of Texting & Predictive Potential of Health Literacy on Medication Adherence in  Type 2 Diabetes
Impact of Texting & Predictive Potential of Health Literacy on Medication Adherence in  Type 2 Diabetes
Impact of Texting & Predictive Potential of Health Literacy on Medication Adherence in  Type 2 Diabetes
Impact of Texting & Predictive Potential of Health Literacy on Medication Adherence in  Type 2 Diabetes
Upcoming SlideShare
Loading in...5
×

Thanks for flagging this SlideShare!

Oops! An error has occurred.

×
Saving this for later? Get the SlideShare app to save on your phone or tablet. Read anywhere, anytime – even offline.
Text the download link to your phone
Standard text messaging rates apply

Impact of Texting & Predictive Potential of Health Literacy on Medication Adherence in Type 2 Diabetes

7,211

Published on

Presentation at Stanford Medicine 2.0 in September, 2011.

Presentation at Stanford Medicine 2.0 in September, 2011.

0 Comments
2 Likes
Statistics
Notes
  • Be the first to comment

No Downloads
Views
Total Views
7,211
On Slideshare
0
From Embeds
0
Number of Embeds
4
Actions
Shares
0
Downloads
63
Comments
0
Likes
2
Embeds 0
No embeds

Report content
Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
No notes for slide

Transcript

  • 1. Impact of Texting & Predictive Potential of Health Literacy onMedication 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
  • 4. $174 billionannual cost burden of diabetes Popul Health Metr 2010;8:29.
  • 5. Insulin escorts _________ into the cells
  • 6. Insulin escorts _________ into the cells
  • 7. Health Literacy “degree to which individuals have the capacity to obtain, process, andunderstand basic healthinformation and services needed to make appropriate health decisions” Healthy People 2010
  • 8. eHealth Literacy Lily Model J Med Internet Res 2006;8(2):e9.
  • 9. mHealth is the use of mobile devices and global networks todeliver health services and information
  • 10. mHealth Deviceso Phoneso iPad/TabletPCo Glowcapo Raisino USBo Fitbito Greengoose
  • 11. Who uses mobile phones?
  • 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 indiverse, underinsured population in USA with T2DM via text message reminders
  • 16. Secondary Study Objective Examine predictive potential of health literacy for adherence
  • 17. Why choose simple SMS as an intervention?GoLiveSMS
  • 18. Methods (aka why did wemake the decisionswe did in the study)
  • 19. Randomized, open-label trialAllocation method where all subjectshave equal chance of study groupassignment
  • 20. Detect a significantdifference (two treatment arms)
  • 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 PercentSource: 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 populationshistorically 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
  • 26. Recruitment from 5 Memorial Primary Care Centers
  • 27. How is medication adherence being measured?
  • 28. How is medication adherence being measured? Morisky Medication Adherence Scale Hemoglobin A1C
  • 29. Surveys and measurement REALM-SFDiabetes Knowledge Test Satisfaction/fatigue
  • 30. What hurdles are we trying to overcome?
  • 31. Integrating a Tablet For data collection
  • 32. SecurityPrivacyLegality
  • 33. JAMA 2009;302(11):1159-60.Honk ififyou loveready Jesus Text to meet Him! you’re
  • 34. Images• http://www.mhs.net/• http://www.ucwv.edu/• http://www.mckesson.com/en_us/McKesson.com/• http://www.quickpwn.com/2010/06/iphone-4.html• http://cdn.pocketnow.com/html/portal/news/0000015324/incredible-s-screen.jpg• http://www.atakos.com/wp-content/uploads/2011/04/Blackberry-8800.jpg• http://www.mobirolla.com/wp-content/uploads/Windows-Phone-7.png• http://mobihealthnews.com/7074/vitality-taps-telit-for-glowcap-connectivity/• http://online.wsj.com/article/SB124934548487503195.html• http://www.vidagranola.com/wp-content/uploads/2010/03/fitbit.gif• http://news.cnet.com/i/tim/2011/02/23/IMG_2143_610x458.JPG
  • 35. Images• http://cowbgonaca.blogspot.com/2011/06/wallpaper-for-android-mobile.html• http://www.mac-wallpapers.com/Apple-Wallpapers/white-apple-logo-wallpaper/• http://www.laptopsteria.com/wp-content/uploads/2011/06/blackberry-logo.jpg• http://www.iphonewallpaperblog.com/wp-content/uploads/2010/12/Windows-7black-iphone4Walpaper.jpg• http://www.mhs.net/locations/PrimaryCareCenters.cfm• http://h10010.www1.hp.com/wwpc/pscmisc/vac/us/product_pdfs/Slate_500_Tablet_Datasheet.pdf Images without citations are licensed stock photography
  • 36. 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?
  • 37. Burning Questionsclauson@nova.edu www.unhub.com/kevinclauson

×