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Tools for Improving Adherence
to Treatment in Diabetes
Iris Thiele Isip Tan MD, MSc, FPCP, FPSEM
@endocrine_witch #HealthXPH
Associate Professor, University of the Philippines College of Medicine
Chief, University of the Philippines Medical Informatics Unit
App Sketching by Johan Larsson,
https://flic.kr/p/dHLKPt
Disclosure Statement of Financial Interest
I, Iris Thiele Isip Tan DO NOT have a financial interest/
arrangement or affiliation with any healthcare related
companies that could be perceived as a real or apparent conflict
of interest in the context of the subject of this presentation.
Adherence &
mHealth
Black and White Crime 2 by Egahen,
http://www.freeimages.com/photo/1115701
The App Store by PhotoAtelier,
https://flic.kr/p/9rCQw8
Apps for
diabetes
Runkeeper and health on iPhone by Jason Howie,
https://flic.kr/p/e5CBwN
Apps
(un)regulated
Adherence &
mHealth
Black and White Crime 2 by Egahen,
http://www.freeimages.com/photo/1115701
The App Store by PhotoAtelier,
https://flic.kr/p/9rCQw8
Apps for
diabetes
Runkeeper and health on iPhone by Jason Howie,
https://flic.kr/p/e5CBwN
Apps
(un)regulated
Eating salad for health by typexmick,
http://www.freeimages.com/photo/1432591
“Adherence
WHO definition (2003)
the extent to which a
person’s behavior - taking
medication, following a diet,
and/or executing lifestyle
changes, corresponds with
agreed recommendations
from a healthcare provider
In developed countries, adherence to
long-term therapies in the general
population is around 50% and is
much lower in developing countries.
WHO report (2003)
“
Take your medicine! by Morgan,
https://flic.kr/p/6jfAxH
The Five Dimensions of Adherence
WHO (2003)
Adherence to Long-term Therapies: Evidence for Action
mobile phone-conference image by xristine_faulkner
https://flic.kr/p/4Xn9Q7
medical and public health practice
supported by mobile devices, such as
mobile phones, patient monitoring
devices, personal digital assistants
(PDAs) and other wireless devices
“mHealth
WHO definition (2011)
mHealth
research
2002-2012
Mobile phone in hand 2 by DragonTash,
http://www.freeimages.com/photo/1438235
Health promotion (38%)
Self-management (33%)
Communication (22%)
Remote monitoring (21%)
Data gathering (21%)
Improvement of adherence (20%)
Training/education (17%)
mHealth Research Impact Areas
Fiordelli M et al. Mapping mHealth research: a decade of evolution
J Med Internet Res 2013;15(5):e95
Conditions addressed
by mHealth research
Fiordelli M et al. Mapping mHealth research: a decade of evolution
J Med Internet Res 2013;15(5):e95
Diabetes
Obesity/Overweight
Mental health
Tobacco use
Other kind of chronic condition
HIV
Other acute conditions
Well-being
Cancer
Medication compliance/Appointment reminder
Sexual health
Cardiovascular condition
Tuberculosis
0 5 10 15 20 25
Measurement
On-person or
embedded sensor
sampling in real time
Ecological
Momentary
Assessment
Global positioning
system
Diagnostic
Point-of-care
diagnostics
Portable imaging
Biomarker sensing
Clinical decision
support
Sensor sampling for
diagnostics
Treatment/Prevention
Prevention & wellness interventions
Remote behavioral treatment
Medication adherence tracking
Chronic disease management
Dissemination of health information
Disaster support/care
Global
Access to healthcare services
Remote behavioral treatment
Dissemination of health information
Disease surveillance
Medication tracking and safety
Prevention & wellness interventions
Continuum of mHealth Tools
Kumar S. et al. Mobile Health Technology Evaluation:
The mHealth Evidence Workshop.
Am J Prev Med 2013;45(2):228–236
Arrow background by ralev_com,
http://www.freeimages.com/photo/1169793
conectandonos by El_Turista_Accidental,
https://flic.kr/p/7EWqg3
There’s an
app for that!
Patient Apps for Improved Healthcare:
From Novelty to Mainstream (Oct 2013)
IMS Institute for Healthcare Informatics
40,000+ healthcare apps on
US Apple iTunes app store
Adherence &
mHealth
Black and White Crime 2 by Egahen,
http://www.freeimages.com/photo/1115701
The App Store by PhotoAtelier,
https://flic.kr/p/9rCQw8
Apps for
diabetes
Runkeeper and health on iPhone by Jason Howie,
https://flic.kr/p/e5CBwN
Apps
(un)regulated
Patient Apps for Improved Healthcare
IMS Institute for Healthcare Informatics Oct 2013
n= 43,689 apps
Healthcare &
Fitness or
Medical
n= 20,007 apps
Miscategorized
or only loosely
health related
n= 23,682 apps
Genuine
healthcare
related
n= 16,275 apps
Consumer
oriented
n= 7,407 apps
Healthcare
professional
oriented
1,980 therapy area specific apps
270 apps for endocrine, nutritional & metabolic diseases
Patient Apps for Improved Healthcare
IMS Institute for Healthcare Informatics Oct 2013
Functionality score + User score = IMS Health App Score
No. of reviews
+ star rating[ ]
25 individual criteria
information provided
how user data tracked/captured
communication processes
quantity of device capabilities[ ]
Top diabetes apps
strong functionality
with ease of use
IMS Health App Score
IMS Institute for Healthcare
Informatics Oct 2013
Daily Carb
Maxwell Software
Glucose Buddy
Azumio, Inc.
GoMeals
Sanofi Diabetes
1
2
3
Currently, there are more than 15,000 health-related apps (free and paid) on
app stores, but we were not able to find any study assessing any of them.
So what is publicly available has not been evaluated, and what
has been evaluated is not publicly available.
Mapping mHealth Research: A Decade of Evolution
Fiordelli M, Diviani N, Schulz PJ. J Med Internet Res 2013;15(5):e95
“
Puzzle 1 by jakubson
http://www.freeimages.com/photo/1072527
Features of Mobile Diabetes Apps:
Review of the Literature & Analysis of Current Apps
Compared Against Evidence-based Guidelines
Chomutare T, Fernandez-Luque L, Arsand E, Hartvigsen G. J Med Internet Res 2011;13(3):e65
iPhone
Android
Blackberry
Nokia
online markets
+ journal databases
+ gray literature on mobile apps
INCLUSION criterion
self-monitoring
of blood glucose
EXCLUSION criteria
No English user interface
Intended exclusively for HCPs
n = 973
n = 137 (101 online + 26 literature search)
Smartphone icon by Loraw200,
http://www.freeimages.com/photo/1377498
Features of Mobile Diabetes Apps:
Review of the Literature & Analysis of Current Apps
Compared Against Evidence-based Guidelines
Chomutare T, Fernandez-Luque L, Arsand E, Hartvigsen G. J Med Internet Res 2011;13(3):e65
SELF-
MONITORING
Blood glucose
Weight
Insulin & medication
BP
EDUCATION
Disease-
related
ALERTS &
REMINDERS
Integration
of SOCIAL
MEDIA
functions
Disease-
related DATA
EXPORT &
COMMUNICATION
Synchronization
with Personal
Health Record
(PHR) systems
or patient portals
Features from
brainstorming
of authors; focus group
discussions between
MDs and patients
A tree on the horizon by Ydiot,
http://www.freeimages.com/photo/1113494
GAP
ANALYSIS
[
Literature typically reflects emerging
applications and new trends ...
“
... the market gives a good indication of
mature applications and functionality.
Chomutare T, Fernandez-Luque L, Arsand E, Hartvigsen G.
J Med Internet Res 2011;13(3):e65
A tree on the horizon by Ydiot,
http://www.freeimages.com/photo/1113494
GAP
ANALYSIS
[
Chomutare T, Fernandez-Luque L, Arsand E, Hartvigsen G.
J Med Internet Res 2011;13(3):e65
Literature
Search
PHR or Web
server
synchronization
18 (69%)
Insulin &
medication
recording
17 (65%)
Diet
recording
17 (65%)
Data
export &
communication
16 (62%)
Insulin &
medication
recording
63 (62%)
Data
export &
communication
61 (60%)
Diet
recording
47 (47%)
Weight
management
43 (43%)
Online
Market
#1 Insulin/meds
#2 Communication
#3 Diet
#4 Physical Activity
#5 Weight
#6 BP
#7 PHR
#8 Education
#9 Social Media
#10 Alerts
Features of Mobile Diabetes Apps:
Review of the Literature & Analysis of Current Apps
Compared Against Evidence-based Guidelines
Chomutare T, Fernandez-Luque L, Arsand E, Hartvigsen G. J Med Internet Res 2011;13(3):e65
A CB
Variables in diabetes self-
management NOT addressed
Personalized feedback
Patient monitoring by primary care
physician
Foot & eye care
Psychosocial care
Immunization
Complication management
Very little influence of social media
on current diabetes mobile applications
Provide link to groups on FB or Twitter
No functional links or integration
between information in app & social media
Instagram and other social media apps by Jason Howie,
https://flic.kr/p/d41HES
Chomutare T, Fernandez-Luque L, Arsand E, Hartvigsen G.
J Med Internet Res 2011;13(3):e65
Mobile Apps for Diabetics: A Systematic Review & Expert-
based Usability Evaluation Considering the Special
Requirements of Diabetes Patients Age 50 Years or Older
Amhold M, Quade M, Kirch W. J Med Internet Res 2014;16(4):e104
iOS n=276
Android
n=266
Both
n=114
Smartphone icon by Loraw200,
http://www.freeimages.com/photo/1377498
GENERAL
INFORMATION
Name/language
Date of release/
update
Desktop app
OPERATING
SYSTEM
iOS
Android
Both
DEVELOPER
INFORMATION
Name
POPULARITY/
USER RATINGS
No. of downloads/
installations
User rating
No. of user ratings
TARGET
USER
GROUPS
Patients
Physicians/qualified
health personnel
Both INTERFACES
Interface/
connectivity to
external sensor(s)/
device
ACQUISITION
COSTS
Freeware
Exact price
Availability
as”lite” version
Feb-Apr 2013
0
25
50
75
100
Free Paid Paid/Lite
iOS (n=276) Android (n=266)
Both (n=114) Total (n=656)
Price distribution of diabetes apps and “lite” versions
Amhold M, Quade M, Kirch W. J Med Internet Res 2014;16(4):e104
%
Worried senior woman talking by SalFalko,
https://flic.kr/p/gFCeMN
Usability & Assessment Criteria for
Diabetes Apps for Elderly
Amhold M, Quade M, Kirch W. J Med Internet Res 2014;16(4):e104
COMPREHENSIBILITY
Use of understandable semantics, simple comprehensibility & interpretability of displayed
images and depictions, simple self-explanatory menu structures
USABILITY
Instant and easily understandable feedback, intuitive usability,
simple recognition of click-sensitive areas
PRESENTATION (Image & Text)
Sufficient color contrast, large size of operating elements, ability to adapt the size of
operating elements and displayed images
GENERAL CHARACTERISTICS
High fault tolerance/efficient fault management,
password-protected services
Randomly selected 66/656 apps (iOs n=29, Android n=28, Both n=9)
Comprehensibility
Presentation
Usability
General characteristics
0 1 2 3 4 5
Likert Scale
Usability Assessment of
Diabetes Apps for Elderly
Amhold M, Quade M, Kirch W. J Med Internet Res 2014;16(4):e104
Adherence &
mHealth
Black and White Crime 2 by Egahen,
http://www.freeimages.com/photo/1115701
The App Store by PhotoAtelier,
https://flic.kr/p/9rCQw8
Apps for
diabetes
Runkeeper and health on iPhone by Jason Howie,
https://flic.kr/p/e5CBwN
Apps
(un)regulated
Patients face a dizzying array of
healthcare apps to choose from,
with little guidance on quality
or support from their doctors.
Some efforts are underway to help
provide professional healthcare
guidance in both the US and the UK
but these are limited in scope
and impact to date.
“
Hyperwall by Florian Plag
https://flic.kr/p/8aro3Y
It’s the Wild West out there.
It’s hard to sort through them
all and there’s little evidence
about which ones really work.
Murray Aitken
Executive Director
IMS Institute for Healthcare Informatics
“
Apple by VanessaGF,
http://www.freeimages.com/photo/1427461
An app a day keeps
the doctor away.
“ When a prescription drug goes
generic, it has at least seven
years of data about its
effectiveness and safety, which
gives physicians assurance that
patients can use it for self-care.
Medical apps have
no history of either
effectiveness or safety.
Mike Paskavitz
Editor-In-Chief, Quantia Inc
“
Mobile apps that are NOT medical devices ... will NOT be
regulated by FDA.
device but because they pose a lower risk to the publi
Mobile apps may meet the definition of a medical device but
because they pose a lower risk to the public, FDA intends to
exercise enforcement discretion.
Caledos runner by Nicola,
https://flic.kr/p/fP18Jx
Although the FDA has focused
on safety, it has largely left
the review and certification of
apps to the marketplace.
The currently available reviews of
mHealth apps have largely
focused on personal
impressions, rather than
evidence-based, unbiased
assessments of clinical
performance and data security.
Powell AC, Landman AB, Bates DW.
In Search of a Few Good Apps
JAMA. Published online March 24, 2014,
doi:10.001/jama.2014.2564
“
Mobile medical applications that
FDA has cleared or approved
http://www.fda.gov/MedicalDevices/
ProductsandMedicalProcedures/ConnectedHealth/
MobileMedicalApplications/ucm368784.htm
http://spectrum.ieee.org/biomedical/devices/bluestar-the-first-prescriptiononly-app
This is a piece of software getting the same treatment as a
medical device. It’s pretty world-changing.
Sonny Vu
Cofounder, Misfit Wearables
“
Patient Apps for Improved Healthcare
IMS Institute for Healthcare Informatics Oct 2013
Evaluation & Evolution of Diabetes
Mobile Apps: Key Factors for HCPs
Seeking to Guide Patients
Ristau R, Yang J, White J.
Diabetes Spectrum 2103; 26(4):211–215
PATIENT
DEMOGRAPHICS
Older generation
less likely to be
technologically savvy
FINANCIAL BURDEN
Can the patient afford
the device & the app?
Busy woman by JetMedia,
http://www.freeimages.com/photo/1070268
Evaluation & Evolution of Diabetes
Mobile Apps: Key Factors for HCPs
Seeking to Guide Patients
Ristau R, Yang J, White J.
Diabetes Spectrum 2103; 26(4):211–215
DEVICE
& APP
PLATFORM
Not all apps available
for all platforms
APP FEATURES
Logging & tracking, data
sharing & social support,
SMS & reminders
EASE OF USE
Easy to navigate,
modify, enter, retrieve
& share data
GUIDELINES &
REGULATIONS
Follow guidelines?
FDA approved?Busy woman by JetMedia,
http://www.freeimages.com/photo/1070268
Adherence &
mHealth
Black and White Crime 2 by Egahen,
http://www.freeimages.com/photo/1115701
The App Store by PhotoAtelier,
https://flic.kr/p/9rCQw8
Apps for
diabetes
Runkeeper and health on iPhone by Jason Howie,
https://flic.kr/p/e5CBwN
Apps
(un)regulated
Measurable behavior change is the desired outcome of diabetes
education. The diabetes professional community must step
into the market void and embrace mobile technology
as part of the solution.
“

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Tools For Improving Adherence to Treatment in Diabetes

  • 1. Tools for Improving Adherence to Treatment in Diabetes Iris Thiele Isip Tan MD, MSc, FPCP, FPSEM @endocrine_witch #HealthXPH Associate Professor, University of the Philippines College of Medicine Chief, University of the Philippines Medical Informatics Unit App Sketching by Johan Larsson, https://flic.kr/p/dHLKPt
  • 2. Disclosure Statement of Financial Interest I, Iris Thiele Isip Tan DO NOT have a financial interest/ arrangement or affiliation with any healthcare related companies that could be perceived as a real or apparent conflict of interest in the context of the subject of this presentation.
  • 3. Adherence & mHealth Black and White Crime 2 by Egahen, http://www.freeimages.com/photo/1115701 The App Store by PhotoAtelier, https://flic.kr/p/9rCQw8 Apps for diabetes Runkeeper and health on iPhone by Jason Howie, https://flic.kr/p/e5CBwN Apps (un)regulated
  • 4. Adherence & mHealth Black and White Crime 2 by Egahen, http://www.freeimages.com/photo/1115701 The App Store by PhotoAtelier, https://flic.kr/p/9rCQw8 Apps for diabetes Runkeeper and health on iPhone by Jason Howie, https://flic.kr/p/e5CBwN Apps (un)regulated
  • 5. Eating salad for health by typexmick, http://www.freeimages.com/photo/1432591 “Adherence WHO definition (2003) the extent to which a person’s behavior - taking medication, following a diet, and/or executing lifestyle changes, corresponds with agreed recommendations from a healthcare provider
  • 6. In developed countries, adherence to long-term therapies in the general population is around 50% and is much lower in developing countries. WHO report (2003) “ Take your medicine! by Morgan, https://flic.kr/p/6jfAxH
  • 7. The Five Dimensions of Adherence WHO (2003) Adherence to Long-term Therapies: Evidence for Action
  • 8. mobile phone-conference image by xristine_faulkner https://flic.kr/p/4Xn9Q7 medical and public health practice supported by mobile devices, such as mobile phones, patient monitoring devices, personal digital assistants (PDAs) and other wireless devices “mHealth WHO definition (2011)
  • 9. mHealth research 2002-2012 Mobile phone in hand 2 by DragonTash, http://www.freeimages.com/photo/1438235 Health promotion (38%) Self-management (33%) Communication (22%) Remote monitoring (21%) Data gathering (21%) Improvement of adherence (20%) Training/education (17%) mHealth Research Impact Areas Fiordelli M et al. Mapping mHealth research: a decade of evolution J Med Internet Res 2013;15(5):e95
  • 10. Conditions addressed by mHealth research Fiordelli M et al. Mapping mHealth research: a decade of evolution J Med Internet Res 2013;15(5):e95 Diabetes Obesity/Overweight Mental health Tobacco use Other kind of chronic condition HIV Other acute conditions Well-being Cancer Medication compliance/Appointment reminder Sexual health Cardiovascular condition Tuberculosis 0 5 10 15 20 25
  • 11. Measurement On-person or embedded sensor sampling in real time Ecological Momentary Assessment Global positioning system Diagnostic Point-of-care diagnostics Portable imaging Biomarker sensing Clinical decision support Sensor sampling for diagnostics Treatment/Prevention Prevention & wellness interventions Remote behavioral treatment Medication adherence tracking Chronic disease management Dissemination of health information Disaster support/care Global Access to healthcare services Remote behavioral treatment Dissemination of health information Disease surveillance Medication tracking and safety Prevention & wellness interventions Continuum of mHealth Tools Kumar S. et al. Mobile Health Technology Evaluation: The mHealth Evidence Workshop. Am J Prev Med 2013;45(2):228–236 Arrow background by ralev_com, http://www.freeimages.com/photo/1169793
  • 12. conectandonos by El_Turista_Accidental, https://flic.kr/p/7EWqg3 There’s an app for that! Patient Apps for Improved Healthcare: From Novelty to Mainstream (Oct 2013) IMS Institute for Healthcare Informatics 40,000+ healthcare apps on US Apple iTunes app store
  • 13. Adherence & mHealth Black and White Crime 2 by Egahen, http://www.freeimages.com/photo/1115701 The App Store by PhotoAtelier, https://flic.kr/p/9rCQw8 Apps for diabetes Runkeeper and health on iPhone by Jason Howie, https://flic.kr/p/e5CBwN Apps (un)regulated
  • 14. Patient Apps for Improved Healthcare IMS Institute for Healthcare Informatics Oct 2013 n= 43,689 apps Healthcare & Fitness or Medical n= 20,007 apps Miscategorized or only loosely health related n= 23,682 apps Genuine healthcare related n= 16,275 apps Consumer oriented n= 7,407 apps Healthcare professional oriented 1,980 therapy area specific apps 270 apps for endocrine, nutritional & metabolic diseases
  • 15. Patient Apps for Improved Healthcare IMS Institute for Healthcare Informatics Oct 2013 Functionality score + User score = IMS Health App Score No. of reviews + star rating[ ] 25 individual criteria information provided how user data tracked/captured communication processes quantity of device capabilities[ ]
  • 16. Top diabetes apps strong functionality with ease of use IMS Health App Score IMS Institute for Healthcare Informatics Oct 2013 Daily Carb Maxwell Software Glucose Buddy Azumio, Inc. GoMeals Sanofi Diabetes 1 2 3
  • 17. Currently, there are more than 15,000 health-related apps (free and paid) on app stores, but we were not able to find any study assessing any of them. So what is publicly available has not been evaluated, and what has been evaluated is not publicly available. Mapping mHealth Research: A Decade of Evolution Fiordelli M, Diviani N, Schulz PJ. J Med Internet Res 2013;15(5):e95 “ Puzzle 1 by jakubson http://www.freeimages.com/photo/1072527
  • 18. Features of Mobile Diabetes Apps: Review of the Literature & Analysis of Current Apps Compared Against Evidence-based Guidelines Chomutare T, Fernandez-Luque L, Arsand E, Hartvigsen G. J Med Internet Res 2011;13(3):e65 iPhone Android Blackberry Nokia online markets + journal databases + gray literature on mobile apps INCLUSION criterion self-monitoring of blood glucose EXCLUSION criteria No English user interface Intended exclusively for HCPs n = 973 n = 137 (101 online + 26 literature search) Smartphone icon by Loraw200, http://www.freeimages.com/photo/1377498
  • 19. Features of Mobile Diabetes Apps: Review of the Literature & Analysis of Current Apps Compared Against Evidence-based Guidelines Chomutare T, Fernandez-Luque L, Arsand E, Hartvigsen G. J Med Internet Res 2011;13(3):e65 SELF- MONITORING Blood glucose Weight Insulin & medication BP EDUCATION Disease- related ALERTS & REMINDERS Integration of SOCIAL MEDIA functions Disease- related DATA EXPORT & COMMUNICATION Synchronization with Personal Health Record (PHR) systems or patient portals Features from brainstorming of authors; focus group discussions between MDs and patients
  • 20. A tree on the horizon by Ydiot, http://www.freeimages.com/photo/1113494 GAP ANALYSIS [ Literature typically reflects emerging applications and new trends ... “ ... the market gives a good indication of mature applications and functionality. Chomutare T, Fernandez-Luque L, Arsand E, Hartvigsen G. J Med Internet Res 2011;13(3):e65
  • 21. A tree on the horizon by Ydiot, http://www.freeimages.com/photo/1113494 GAP ANALYSIS [ Chomutare T, Fernandez-Luque L, Arsand E, Hartvigsen G. J Med Internet Res 2011;13(3):e65 Literature Search PHR or Web server synchronization 18 (69%) Insulin & medication recording 17 (65%) Diet recording 17 (65%) Data export & communication 16 (62%) Insulin & medication recording 63 (62%) Data export & communication 61 (60%) Diet recording 47 (47%) Weight management 43 (43%) Online Market
  • 22. #1 Insulin/meds #2 Communication #3 Diet #4 Physical Activity #5 Weight #6 BP #7 PHR #8 Education #9 Social Media #10 Alerts Features of Mobile Diabetes Apps: Review of the Literature & Analysis of Current Apps Compared Against Evidence-based Guidelines Chomutare T, Fernandez-Luque L, Arsand E, Hartvigsen G. J Med Internet Res 2011;13(3):e65 A CB Variables in diabetes self- management NOT addressed Personalized feedback Patient monitoring by primary care physician Foot & eye care Psychosocial care Immunization Complication management
  • 23. Very little influence of social media on current diabetes mobile applications Provide link to groups on FB or Twitter No functional links or integration between information in app & social media Instagram and other social media apps by Jason Howie, https://flic.kr/p/d41HES Chomutare T, Fernandez-Luque L, Arsand E, Hartvigsen G. J Med Internet Res 2011;13(3):e65
  • 24. Mobile Apps for Diabetics: A Systematic Review & Expert- based Usability Evaluation Considering the Special Requirements of Diabetes Patients Age 50 Years or Older Amhold M, Quade M, Kirch W. J Med Internet Res 2014;16(4):e104 iOS n=276 Android n=266 Both n=114 Smartphone icon by Loraw200, http://www.freeimages.com/photo/1377498 GENERAL INFORMATION Name/language Date of release/ update Desktop app OPERATING SYSTEM iOS Android Both DEVELOPER INFORMATION Name POPULARITY/ USER RATINGS No. of downloads/ installations User rating No. of user ratings TARGET USER GROUPS Patients Physicians/qualified health personnel Both INTERFACES Interface/ connectivity to external sensor(s)/ device ACQUISITION COSTS Freeware Exact price Availability as”lite” version Feb-Apr 2013
  • 25. 0 25 50 75 100 Free Paid Paid/Lite iOS (n=276) Android (n=266) Both (n=114) Total (n=656) Price distribution of diabetes apps and “lite” versions Amhold M, Quade M, Kirch W. J Med Internet Res 2014;16(4):e104 %
  • 26. Worried senior woman talking by SalFalko, https://flic.kr/p/gFCeMN Usability & Assessment Criteria for Diabetes Apps for Elderly Amhold M, Quade M, Kirch W. J Med Internet Res 2014;16(4):e104 COMPREHENSIBILITY Use of understandable semantics, simple comprehensibility & interpretability of displayed images and depictions, simple self-explanatory menu structures USABILITY Instant and easily understandable feedback, intuitive usability, simple recognition of click-sensitive areas PRESENTATION (Image & Text) Sufficient color contrast, large size of operating elements, ability to adapt the size of operating elements and displayed images GENERAL CHARACTERISTICS High fault tolerance/efficient fault management, password-protected services Randomly selected 66/656 apps (iOs n=29, Android n=28, Both n=9)
  • 27. Comprehensibility Presentation Usability General characteristics 0 1 2 3 4 5 Likert Scale Usability Assessment of Diabetes Apps for Elderly Amhold M, Quade M, Kirch W. J Med Internet Res 2014;16(4):e104
  • 28. Adherence & mHealth Black and White Crime 2 by Egahen, http://www.freeimages.com/photo/1115701 The App Store by PhotoAtelier, https://flic.kr/p/9rCQw8 Apps for diabetes Runkeeper and health on iPhone by Jason Howie, https://flic.kr/p/e5CBwN Apps (un)regulated
  • 29. Patients face a dizzying array of healthcare apps to choose from, with little guidance on quality or support from their doctors. Some efforts are underway to help provide professional healthcare guidance in both the US and the UK but these are limited in scope and impact to date. “
  • 30. Hyperwall by Florian Plag https://flic.kr/p/8aro3Y It’s the Wild West out there. It’s hard to sort through them all and there’s little evidence about which ones really work. Murray Aitken Executive Director IMS Institute for Healthcare Informatics “
  • 31. Apple by VanessaGF, http://www.freeimages.com/photo/1427461 An app a day keeps the doctor away. “ When a prescription drug goes generic, it has at least seven years of data about its effectiveness and safety, which gives physicians assurance that patients can use it for self-care. Medical apps have no history of either effectiveness or safety. Mike Paskavitz Editor-In-Chief, Quantia Inc “
  • 32. Mobile apps that are NOT medical devices ... will NOT be regulated by FDA. device but because they pose a lower risk to the publi Mobile apps may meet the definition of a medical device but because they pose a lower risk to the public, FDA intends to exercise enforcement discretion.
  • 33. Caledos runner by Nicola, https://flic.kr/p/fP18Jx Although the FDA has focused on safety, it has largely left the review and certification of apps to the marketplace. The currently available reviews of mHealth apps have largely focused on personal impressions, rather than evidence-based, unbiased assessments of clinical performance and data security. Powell AC, Landman AB, Bates DW. In Search of a Few Good Apps JAMA. Published online March 24, 2014, doi:10.001/jama.2014.2564 “
  • 34. Mobile medical applications that FDA has cleared or approved http://www.fda.gov/MedicalDevices/ ProductsandMedicalProcedures/ConnectedHealth/ MobileMedicalApplications/ucm368784.htm
  • 35. http://spectrum.ieee.org/biomedical/devices/bluestar-the-first-prescriptiononly-app This is a piece of software getting the same treatment as a medical device. It’s pretty world-changing. Sonny Vu Cofounder, Misfit Wearables “
  • 36. Patient Apps for Improved Healthcare IMS Institute for Healthcare Informatics Oct 2013
  • 37. Evaluation & Evolution of Diabetes Mobile Apps: Key Factors for HCPs Seeking to Guide Patients Ristau R, Yang J, White J. Diabetes Spectrum 2103; 26(4):211–215 PATIENT DEMOGRAPHICS Older generation less likely to be technologically savvy FINANCIAL BURDEN Can the patient afford the device & the app? Busy woman by JetMedia, http://www.freeimages.com/photo/1070268
  • 38. Evaluation & Evolution of Diabetes Mobile Apps: Key Factors for HCPs Seeking to Guide Patients Ristau R, Yang J, White J. Diabetes Spectrum 2103; 26(4):211–215 DEVICE & APP PLATFORM Not all apps available for all platforms APP FEATURES Logging & tracking, data sharing & social support, SMS & reminders EASE OF USE Easy to navigate, modify, enter, retrieve & share data GUIDELINES & REGULATIONS Follow guidelines? FDA approved?Busy woman by JetMedia, http://www.freeimages.com/photo/1070268
  • 39. Adherence & mHealth Black and White Crime 2 by Egahen, http://www.freeimages.com/photo/1115701 The App Store by PhotoAtelier, https://flic.kr/p/9rCQw8 Apps for diabetes Runkeeper and health on iPhone by Jason Howie, https://flic.kr/p/e5CBwN Apps (un)regulated
  • 40. Measurable behavior change is the desired outcome of diabetes education. The diabetes professional community must step into the market void and embrace mobile technology as part of the solution. “