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Kay Connelly
Wearables for Precision Health
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IU Grand Challenge Precision Health Initiative
The goal of the IU Precision Health Initiative is to position Indiana University among the leading universities in discovering and
developing better treatments, preventions and improved health outcomes in specific human diseases through a more precise understanding of the genetic, developmental, behavioral and environmental factors that contribute to an individual’s health.
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PI’s: Drs. David Haas and Kay Connelly
IU Precision Diabetes Program
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Gestational Diabetes (GDM)
14% of pregnancies
60-70% develop T2Din 5-10 years
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Phase I Overview• Leaders: David Haas & Kay Connelly• Hypothesis: Genetic, blood-based, and behavioral/digital biomarkers can
be identified that distinguish gradations of risk for future Type 2 diabetes beyond usual clinical measures
Provide novel discoveries regarding GDM-related diabetes risk that inform preventive care strategies regarding
pathways to diabetes in this unique subset of diabetes
NuMoM2b Cohort Hoosier Moms Cohort
Biomarker Discovery Directed refinement of discovery Tools
Population
Analysis
Target Outcomes
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Phase II Overview• Leaders: Tami Hannon & Jen Wessel• Hypothesis: Genetic and other molecular information, together with
psychological and sociodemographic features of the individual, can inform the delivery of prevention intervention and enhance the effectiveness and patient-centered value of these interventions
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Behavioral Data: Wearable… But Which One?
Activity & Sleep
Battery
Analog
Synching
Viewability
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Behavioral Data: Wearable… But Which One?
Evaluation Framework Usability Study Pilot Study
Narrowing Selections Final Selection Testing & Understanding Use
1 2 3 4 5 6Wearables
MothersBirthPregnant
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Evaluation Framework
EverydayUse
Infrastructure
Functionality
Privacy
Ease of setupEase of physical controlsWearable display viewabilityWearable display interpretabilityMobile app ease of useWearabilityWater ResistanceWearable device batteryMobile batterySyncingAestheticsCustomization
Physiological measuresMotivationNotificationsClockManual inputs/remindersConnectivity to other apps
Device/data accessCostAPI: dataAPI: scalabilityAPI: notificationAPI: maturityOpen source/API referenceDeveloper support
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Narrowing Selections• Identified 10 devices at proper cost
point (<$150)
• Prioritized features for women of young children (e.g. active lifestyle => battery life, water proof, etc…)
• Narrowed to 3 devices:
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Usability Study
tasks preferences
Garmin Vivosmart HR
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Pilot Study
• 38 participants, 8 weeks before & after birth• Wearable feedback: Did they like the form? Features? App?• Wearable usage: Did they wear it? Charge it? Synch regularly?• Did the feedback or usage change pre/post birth?
Focus Groups Pause Focus GroupsFinal
Interviews
Month 1 Month 2 Month 3 Month 4 Month 5 Month 6
Wearables
New MothersRecover from BirthPregnant Mothers Pre-Birth
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Pilot Study: Major FindingsForm Factor
“The only issue thus far has been that it is a bit bulky/unnatural feeling to wear. I am not in the habit of wearing bracelets, watches, etc., so I have found it particularly noticeable. I have been removing it at night for comfort, so have not been able to take advantage of sleep monitoring.” [A007]
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Pilot Study: Major FindingsPost Pregnancy Use
• Drop in usage post-pregnancy• Participants noted being “too busy” and/or
“too tired” to be exercising• Viewed device to be an exercise tracker
rather than a lifestyle tracker
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Behavioral Data: Wearable
1 2 3 4 5 6Wearables
MothersBirthPregnant
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Phase I Overview• Leaders: David Haas & Kay Connelly• Hypothesis: Genetic, blood-based, and behavioral/digital biomarkers can
be identified that distinguish gradations of risk for future Type 2 diabetes beyond usual clinical measures
Provide novel discoveries regarding GDM-related diabetes risk that inform preventive care strategies regarding
pathways to diabetes in this unique subset of diabetes
NuMoM2b Cohort Hoosier Moms Cohort
Biomarker Discovery Directed refinement of discovery Tools
Population
Analysis
Target Outcomes
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GDM Models• NuMoM2B
• EHR+survey models being produced now
• Genomic data added in fall
• Hoosier Mom’s Cohort
• 500 women recruited in their first trimester
èCurrent recruitment at n=50
• Data:
• EHRs, surveys, genomics
• + food diaries, wearables
• Model with behavioral data >1 year out
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Collaborators: Katie Siek, Cassie Kresnye, Haley Molchan, Rashmi Bidanta, Novia Nurain
Questions?