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Supporting Chronic Disease Management in a Virtual Environment: The Lessons Learned from a Diabetes Program at Duke University Constance M. Johnson, PhD, MS, FAAN Associate Professor Randy Brown VP, Director Virtual Heroes Division

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Supporting Chronic Disease Management in a Virtual

Environment: The Lessons Learned from a Diabetes

Program at Duke University

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Constance M. Johnson, PhD, MS, FAANAssociate Professor

Randy BrownVP, Director Virtual Heroes Division

Diabetes Prevalence 2010

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http://www.altfutures.com/diabetes2025/

Diabetes Prevalence 2025

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http://www.altfutures.com/diabetes2025/

Diabetes

• Metabolic control reduces morbidity

& mortality (DCCT, Diabetes Control and Complications Trial: The effect of

intensive treatment of diabetes on the development and progression of

long-term complications in insulin-dependent diabetes mellitus.

New England Journal of Medicine, 1993. 329: p. 977-986)

• Individuals with T2DM provide 99% of their own care (Funnell, M.M. and R.M. Anderson, Patient empowerment: a look back, a look ahead. Diabetes Educ, 2003. 29(3): p. 454-8.)

– Self-management (diet, exercise, glucose testing, etc.)

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Diabetes Self-Management Internet Interventions

• Potential for cost-effective Internet interventions – Not produced large effects on behavioral and

metabolic outcomes (Jackson, C.L., et al., A systematic review of interactive computer-assisted technology in diabetes care. Interactive information technology in diabetes care. J Gen Intern Med, 2006. 21(2): p. 105-10.; Yu, et al., Systematic review and evaluation of web-accessible tools for management of diabetes and related cardiovascular risk factors by patients and healthcare providers. J Am Med Inform Assoc. 2012 Jul-Aug;19(4):514-22. doi: 10.1136/amiajnl-2011-000307.)

– Most Internet interventions are “flat” with asynchronous communication

– Lack of usability, real-time feedback, and theoretical foundation with comprehensive evaluation (El-Gayar, et al., A systematic review of IT for diabetes self-management: are we there yet? Int J Med Inform. 2013 Aug;82(8):637-52. doi: 10.1016/j.ijmedinf.2013.05.006.)

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Johnson, C., et al. (2014). International Journal of Virtual Communities and Social Networking ,5(3), 68-80, July-September2014.

Funded by the National Library of Medicine: 1 R21 LM010727-01

Second Life Impacts Diabetes Education and Self-Management

SLIDES Aims

• Primary aim: To assess its feasibility and acceptability

• Secondary aim: To determine the preliminary effects of participation in the SLIDES intervention on: – (1) metabolic control (HbA1c levels, blood pressure

and body mass index) – (2) potential psychosocial mediating variables

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Study Sample

• Participants with Type 2 Diabetes• 21 - 75 years old• Computer and Internet literate • No severe diabetes related complications

or late stage chronic disease

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Multidimensional Data• Quantitative data

– Movement, interactions with objects & other participants, proxemics

– Time spent in the site, frequency of log-ins– Survey data – knowledge, self-management

behaviors, self-efficacy, perceived support

• Qualitative data– Observational data, voice, text, email, forum, focus

groups

• Visual data – Photos and videos

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DCCT, NEJM, 1993, 329:977-986. – Diabetes Knowledge ScaleBarrera, M., Jr., et al., Am J Community Psychol, 2002. 30(5): p. 637-54 - Diabetes Support ScaleMcCaul, K., R. Glasgow, and L. Schafer, Medical Care, 1987. 25(9): p. 868-881 – Outcome Expectancies QuestionnaireToobert, D.J., S.E. Hampson, and R.E. Glasgow, Diabetes Care, 2000. 23(7): p. 943-50 – Summary of Diabetes Self-Care Activities

Over 200 Interactive Grocery Items

Nutritional information on each grocery item

Immediate Feedback on Items Chosen

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Results

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Johnson, C., et al. (2014). JMIR Res Protoc 2014;3(2):e23)

2.3%2.5%

3.2%

5.6%

3.5%

3.5%

9.0%

5.0%48.6%

16.8%

Social Center

Gym

Grocery

Pharmacy

Clothing

Classroom

Orientation

Bookstore

Restaurant

Places Participants Visited in the Virtual Community

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T-Tests for comparison of means

Social Support Healthy Diet Foot Care0

1

2

3

4

5

6

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Behavioral Outcomes

Baseline3 Months6 Months

Sco

re o

r D

ays

Per

Wee

k

*p=0.020

*p=0.036*p=0.001

Barrera, M., Jr., et al., Am J Community Psychol, 2002. 30(5): p. 637-54 - Diabetes Support ScaleMcCaul, K., R. Glasgow, and L. Schafer, Medical Care, 1987. 25(9): p. 868-881 – Outcome Expectancies QuestionnaireToobert, D.J., S.E. Hampson, and R.E. Glasgow, Diabetes Care, 2000. 23(7): p. 943-50 – Summary of Diabetes Self-Care Activities

Metabolic OutcomesBaseline (mean + SD)

3 Months (mean + SD)

6 Months (mean + SD)

Weight (lbs) 217.5 + 45.1 215.6 + 45.7 208.5 + 43.8

BMI (kg/m2 ) 37.4 + 7.8 37.2 + 8.2 36.15 + 8.3

Systolic BP (mmHg)

131 + 13.0 130 + 14.5 130 + 10.5

Diastolic BP (mmHg)

75 + 10.8 75 + 11.2 78 + 9.4

HbA1c (%) 7.6 + 1.3 7.1 + 1.2 6.9 + 1.3

Johnson, C., et al. (2014). Feasibility and preliminary effects of a virtual environment for adults with type 2 diabetes: Pilot study. JMIR Res Protoc 2014;3(2):e23)

Discussion• Allows experiential learning • Synchronous communication – people feel

like they are really there• Shown to be a feasible and useful platform

for patients and educators/clinicians• Scalability – multiple, geographically

widespread users assisted by relatively few educators/professionals

• Social interaction is making the difference

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Diabetes Self-Management & Support LIVE (Learning in Virtual Environments)

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Funded by the NHLBI - 1 R01 HL118189-01Applied Research Associates Study data collected and managed using REDCap

Purpose of the Study

To determine whether participation in LIVE which incorporates real-time diabetes self-management training and support will be associated with positive changes in health behaviors and metabolic outcomes in adults with T2D as compared to traditional education and support in a website

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Vorderstrasse, A, ….Johnson . (2105). Nursing Research November/December, 64(6):485-494

Design• Multi-site RCT with longitudinal repeated

measures design• 220 participants

– 110 randomized to LIVE– 110 randomized to Control group - website

• Determine effects on diet, physical activity, self-efficacy, diabetes knowledge, social support, HbA1c, BP, BMI, lipid panels, waist circumference at baseline, 3, 6, 12, and 18 months

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Design• First three months

– Diabetes education classes twice per week– Participants to log-in twice per week & use Fitbit– Surveys at baseline and three months

• Last nine months– Diabetes education classes twice per week– Participants to log-in at will & use Fitbit– Surveys at six and twelve months

• 18 month follow-up surveys

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Attrition

Dynamic Content

Social Interaction

Gamification

Personalization

LIVE Site

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•24

•26

•27

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Bookstore

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•31

•33

Personalization

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Social Interaction

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Gamification

• Include rewards for achievement – Potential to produce behavior change

• Skill Points– Assigned to specific activities– Assign points to using Fitbit

• Redeemable Points– Clothing– Play games

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Zichermann, Cunningham, Gamification by Design

•40

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Scenarios

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•46

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•48

•49

•50

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Badges/Scores/Tickets/Rank

Badge and Name

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•53

Encouraging Participants to Use Fitbit

Leaderboards

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Results To Date

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Control (n = 84) LIVE (n = 73)

White Some College $50 - 69K0

10

20

30

40

50

60

70

80

90

100

58 56

29

46

25

41

55 52

3034

2025

LIVEControl

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Average Duration of Diabetes = 10.9 yearsAverage Age = 58.5 years old

Conclusion

• Usability – site is easy to use– Learnability, memorability, satisfaction

• Engagement – Dynamic content– Gamification– Social interaction

• Personalization – Relate to their avatar

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www.ara.com © 2016 Applied Research Associates, Inc. ARA Proprietary

INNOVATIVE SOLUTIONS TO COMPLEX PROBLEMS

Virtual Heroes Division of ARAGame Studio founded in 2004 Located in Raleigh NC and Orlando FLAcquired by ARA in 2009

www.ara.com © 2016 Applied Research Associates, Inc. ARA Proprietary

INNOVATIVE SOLUTIONS TO COMPLEX PROBLEMS

Virtual Worlds, Simulations, Serious Games

• We create content via these technologies:• PC/Mac through downloads

• Streaming to a Browser (HTML5/Plug-ins)

• Mobile Devices

• Cloud-based platforms

• We create:• Individual, self-paced learning

• Instructor-facilitated team training

• 24/7/365 open virtual worlds

www.ara.com © 2016 Applied Research Associates, Inc. ARA Proprietary

INNOVATIVE SOLUTIONS TO COMPLEX PROBLEMS

Diabetes LIVE Virtual World Access

www.ara.com © 2016 Applied Research Associates, Inc. ARA Proprietary

INNOVATIVE SOLUTIONS TO COMPLEX PROBLEMS

Key Reusable Platform Elements

Data-Driven Platform (Duke Nursing databases)

Full local infrastructure control (Duke servers)

Customized/Simplified user interfaces

Duke Instructor-led in-world educational sessions

Scriptable Quests with Quest Generator interface on-line

Significant back-end statistics tracking and analytics

Fully recorded 3D in-world information/training sessions

Awards/Gamification system is also data-driven

www.ara.com © 2016 Applied Research Associates, Inc. ARA Proprietary

INNOVATIVE SOLUTIONS TO COMPLEX PROBLEMS

Diabetes LIVE Virtual World Districts

LobbyReflection Garden

PlazaFood Court

www.ara.com © 2016 Applied Research Associates, Inc. ARA Proprietary

INNOVATIVE SOLUTIONS TO COMPLEX PROBLEMS

Diabetes LIVE In-World Discussions

www.ara.com © 2016 Applied Research Associates, Inc. ARA Proprietary

INNOVATIVE SOLUTIONS TO COMPLEX PROBLEMS

Diabetes LIVE Virtual World Demo

www.ara.com © 2016 Applied Research Associates, Inc. ARA Proprietary

INNOVATIVE SOLUTIONS TO COMPLEX PROBLEMS

Questions?

Constance M. Johnson, PhD, FAANAssociate Professor

O: 919.684.9332M: 832-444-9370

[email protected]

Randy BrownVP, Director Virtual Heroes Division

O: 919.747.7603M: 919.593.0928

[email protected]