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Data-driven Health Behavior
Change and mHealth
M. Courtney Hughes, PhD
mHealth Conference
Chicago, IL
March 30-31, 2011
Introduction
• Approach Health helps companies:
– Drive behavior change
– Incorporate evidence-based research and industry best practices
– Lower medical costs & increase productivity
– Demonstrate ROI
• Background:
– Experience with health IT companies, health plans, PBMs, program
vendors
– Published studies in health behavior change, workplace health
– PhD, University of Washington; MS, University of Michigan; BBA,
University of Notre Dame
2
The Time Has Never Been Better…
3
Challenges Opportunities
Rising healthcare costs 75% due to unhealthy, modifiable behaviors
Engaging members
Ubiquitous mobile devices
Strong interest in improving health behaviors
Cost-effective customization Readily available data
Effective communication algorithms
Capturing Population
More patient data is available than ever before.
EMR, PHR
Pharma
Claims
Survey
(HRA, QoL)
Medical
Claims
mDevices
(Events, ODLs)
Lab Values
4
Health Behavior: Medication Adherence
• 30-50% patients are nonadherent with
medication
• Medication nonadherence costs our nation over
$100B / year
• Mobile devices can help improve adherence
5
Identification & Targeting
• Current poor adherers
- missed refills, no med response, missed appts
• Individuals at risk for future poor adherence
- psych problems, side effects, asymptomatic disease, cost,
treatment complexity
• Prioritize participants within target groups
6
 Preventable disease, death
 Chronic
 Costly
 Dependent

Tailored Message for High-Impact
7
Drug-specific
• Emphasizes value of drug/regimen
• Explains effect of adherence
Elicit patient feelings
• Costs often a concern (direct & indirect)
• Psych meaning of med (stigma, addiction)
Customize regimen
• According to patient’s wishes
• Suggest therapeutic interchange
Optimizing Delivery
8
Optimal
combination
modes
Patient Spouse
Care
Manager
Parent
Target Optimal Recipient
Timing should be immediate
Start Med times
Days
1 2 43
1 2
3
Example 1: Diabetes Patients
9
• Multiple meds:
1 message or
several?
• Time of day:
weekday vs.
weekends
Source: CareSpeak Communications
Example 2: MI Patient
Text, Day 1:
“Heart attack patients may benefit from taking a beta blocker like
Atenolol. These drugs assist in the healing process and help prevent
another heart attack.”
Optional Reminder Text, Daily:
“Please remember to take your Atenolol today.”
Call, Day 6:
How do you feel about taking Atenolol?
Text, Day 28:
“Congratulations on refilling your Atenolol. You are helping yourself
stay healthy and prevent another heart attack.”
10
Where to Focus for Greatest Impact
Behaviors
• Smoking
• Medication
Adherence
• Prev Care
• Physical
Activity
• Diet
Conditions
• Heart Disease
• Cancer
• Diabetes
• Hypertension
• High
Cholesterol
• Obesity
• Depression
Characteristics
• Age
• Gender
• Education
• Income
• Prior behavior
• Readiness for
change
11
*Cost information from Medical Expenditure Panel Survey, 2008
Behavior Change Cost Impact
Behavior
Prevalence
Rate
Annual Cost /
Afflicted
Individual
Cost
Reference
Population
Medical
Costs
Medication
Nonadherence
30.0% $1500 Med Care, 2005
Allergy, 2007
$4.5M
Obesity 38.9 1700 JOEM, 2010 6.6M
Smoking 19.6* 2432 CDC, 2007 4.8M
*Hughes et al., Am J Health Prom, 2010
**Conservative estimate based on articles in Health Psych, 2011, Am J Prev Med 2009, J Am Coll Health 2008
Population: 10,000
12
Smoking prevalence drops 5% to 18.6** --> Population savings = $243,200
What’s Next?
• Determining optimal level of interactivity
• Patient or provider initiation?
• Activity feedback
13
Source: Halo Monitoring, DePaul University
mchughes@approachhealth.com
Healthy Behaviors. Healthy Returns.
Contact:

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Data-driven Health Behavior Change and mHealth

  • 1. Data-driven Health Behavior Change and mHealth M. Courtney Hughes, PhD mHealth Conference Chicago, IL March 30-31, 2011
  • 2. Introduction • Approach Health helps companies: – Drive behavior change – Incorporate evidence-based research and industry best practices – Lower medical costs & increase productivity – Demonstrate ROI • Background: – Experience with health IT companies, health plans, PBMs, program vendors – Published studies in health behavior change, workplace health – PhD, University of Washington; MS, University of Michigan; BBA, University of Notre Dame 2
  • 3. The Time Has Never Been Better… 3 Challenges Opportunities Rising healthcare costs 75% due to unhealthy, modifiable behaviors Engaging members Ubiquitous mobile devices Strong interest in improving health behaviors Cost-effective customization Readily available data Effective communication algorithms
  • 4. Capturing Population More patient data is available than ever before. EMR, PHR Pharma Claims Survey (HRA, QoL) Medical Claims mDevices (Events, ODLs) Lab Values 4
  • 5. Health Behavior: Medication Adherence • 30-50% patients are nonadherent with medication • Medication nonadherence costs our nation over $100B / year • Mobile devices can help improve adherence 5
  • 6. Identification & Targeting • Current poor adherers - missed refills, no med response, missed appts • Individuals at risk for future poor adherence - psych problems, side effects, asymptomatic disease, cost, treatment complexity • Prioritize participants within target groups 6  Preventable disease, death  Chronic  Costly  Dependent 
  • 7. Tailored Message for High-Impact 7 Drug-specific • Emphasizes value of drug/regimen • Explains effect of adherence Elicit patient feelings • Costs often a concern (direct & indirect) • Psych meaning of med (stigma, addiction) Customize regimen • According to patient’s wishes • Suggest therapeutic interchange
  • 8. Optimizing Delivery 8 Optimal combination modes Patient Spouse Care Manager Parent Target Optimal Recipient Timing should be immediate Start Med times Days 1 2 43 1 2 3
  • 9. Example 1: Diabetes Patients 9 • Multiple meds: 1 message or several? • Time of day: weekday vs. weekends Source: CareSpeak Communications
  • 10. Example 2: MI Patient Text, Day 1: “Heart attack patients may benefit from taking a beta blocker like Atenolol. These drugs assist in the healing process and help prevent another heart attack.” Optional Reminder Text, Daily: “Please remember to take your Atenolol today.” Call, Day 6: How do you feel about taking Atenolol? Text, Day 28: “Congratulations on refilling your Atenolol. You are helping yourself stay healthy and prevent another heart attack.” 10
  • 11. Where to Focus for Greatest Impact Behaviors • Smoking • Medication Adherence • Prev Care • Physical Activity • Diet Conditions • Heart Disease • Cancer • Diabetes • Hypertension • High Cholesterol • Obesity • Depression Characteristics • Age • Gender • Education • Income • Prior behavior • Readiness for change 11 *Cost information from Medical Expenditure Panel Survey, 2008
  • 12. Behavior Change Cost Impact Behavior Prevalence Rate Annual Cost / Afflicted Individual Cost Reference Population Medical Costs Medication Nonadherence 30.0% $1500 Med Care, 2005 Allergy, 2007 $4.5M Obesity 38.9 1700 JOEM, 2010 6.6M Smoking 19.6* 2432 CDC, 2007 4.8M *Hughes et al., Am J Health Prom, 2010 **Conservative estimate based on articles in Health Psych, 2011, Am J Prev Med 2009, J Am Coll Health 2008 Population: 10,000 12 Smoking prevalence drops 5% to 18.6** --> Population savings = $243,200
  • 13. What’s Next? • Determining optimal level of interactivity • Patient or provider initiation? • Activity feedback 13 Source: Halo Monitoring, DePaul University