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1 The Use of Psychographic Data for Chronic Condition Self Management: Claims based study reveals health outcomes and economic returns Dr. Steve Schwartz, Ph.D. Research Director, HealthMedia Ninth Annual Population Health & DM Colloquium March 2 nd , 2010
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The Use of Psychographic Data for Chronic Condition Self Management:

Claims based study reveals health outcomes and economic returns

Dr. Steve Schwartz, Ph.D.Research Director, HealthMedia

Ninth Annual Population Health & DM ColloquiumMarch 2nd, 2010

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The Problem

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Classic DM views the problem as the “Big 5” disease states – Driven by direct medical costs

Direct costs

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What if you considered the prevalence?

PrevalenceDirect costs

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Problem is much bigger due to indirect costs – Picture of total economic burden changes

Direct costs

Indirect costs

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Evolution of Chronic Care Scope

• Intensive Case Management: Subset of DM population with severe disease and high cost (CHF)

• Disease Management: Subpopulation with specific chronic conditions and/or risk factors

• Population Management: Intervention across the total population of eligible members

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Self-ManagementFor Populations: Understanding what MOVES

the individual

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DMAA: Report on the Summit

“Health coaching efforts will be directed at helping patients to understand the implications of their

behavior. The science of behavior change will become increasingly important in helping to personalize patient

information and to equip patients with the skills necessary for making and sustaining behavior change.”

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Elements of Success In a Self-Management Program

1. Management of medical, emotional and personal issues

2. Motivation and self-confidence associated with managing their conditions

3. Management of sleep, pain, fatigue, & depression

4. Improved doctor, patient, pharmacist relationships & communications

5. Medication adherence and overall treatment compliance

6. Getting social support

7. Goal setting and planning skills

8. Acceptance of personal responsibility for managing one’s condition(s) and better understanding of their role on the treatment team

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PsychoGraphics

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Behavioral Health: Essential to Disease Management

Health Belief ModelBehavior ModificationTranstheoretical (Stages of Change) ModelMotivational InterviewingSocial CognitionSolution Focused TherapySelf-Regulation Acceptance and Commitment TherapyMotivation and Self-confidence MatrixTheory of Planned BehaviorIndividualized Treatment

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•Priorities/Perception of risk•Barriers•Social support•Stress/Depression•Values•Cost•Time with condition•Symptom management•Medication Routine•Treatment complexity •Co-morbidities •Habit•Expectations and beliefs•Goals•Triggers•Hobbies/interests/employment

Factors of Behavior Change•Acceptance•Emotion•Quality of life•Knowledge•Bio-medical measures•Personal/Family health history•Stage of change •Demographics (Gender/Ethnicity/Age..)•Side effects•Doctor/patient relationship•Medication history•Motivation•Self confidence•Prior attempts at addressing issue•Lifestyle issues

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The Psycho- Behavioral Outcomes

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Program Intervention and Study Overview

• 6,514 Highmark BCBS participants • Members completed an tailored online self-management

program designed from the seminal work of Dr. Kate Lorig and colleagues

• Members were contacted for f/u evaluation at 90-days post enrollment

• Results compared baseline to follow-up

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Chronic Conditions Self-Management Demographic Overview

71%Female

29%Male

Ages 30-59 = 84% Mean Age = 44.8

Age Range

10%

23%

31% 30%

6%

0%0%

5%

10%

15%

20%

25%

30%

35%

Age Range

17 to 2930 to 3940 to 4950 to 5960 to 6970 and Above

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Chronic Conditions Self-Management Co-Morbidity & Productivity

Number of Chronic

ConditionsPrevalence Productivity

Impairment

1 33.6% 11.40%2 28.1% 14.96%3 17.3% 18.62%4 9.6% 24.17%5+ 11.3% 32.94%

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Chronic Conditions Self-Management90-Day Self-Report Outcomes

94%of participants reported gaining a better understanding

of their role in managing conditions

93%of participants reported they were able to better self-manage their conditions

89% Of participants reported they were able to better communicate

with their Health Care Provider

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Chronic Conditions Self-Management90-Day Self-Report Outcomes

88%of participants reported their health improved

as a result of the program

89%of participants reported they currently took full advantage

of the health resources available to them

88%of participants said they were able to better

manage their stress

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Chronic Conditions Self-Management: QOH

18.3%

37.7%

30.3%

11.6%

2.1%

19.2%

50.9%

22.5%

6.7%

0.6%0.0%

10.0%

20.0%

30.0%

40.0%

50.0%

60.0%

Excellent Very Good Good Fair Poor

Baseline vs. 90-Day: Quality of Health

Baseline90 Day

Normal distribution violate, Wilcoxon test, z=5.81, p<.0001

90-Day Self-Reported Outcomes

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23.5%

39.0%

28.6%

7.8%

1.1%

21.6%

50.6%

23.1%

4.0%0.6%

0.0%

10.0%

20.0%

30.0%

40.0%

50.0%

60.0%

Excellent Very Good Good Fair Poor

Baseline vs. 90-Day: Quality of Life

Baseline90 Day

Normal distribution violate, Wilcoxon test, z=3.24, p=.0001

Chronic Conditions Self-Management: QOL90-Day Self-Report Outcomes

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Chronic Conditions Self-Management:90-Day Self-Report Outcomes

14%of participants reported an increase in the ability

to manage medical needs from 7.23 to 8.26

12%of participants reported an increase in the ability

to manage daily activities from 7.58 to 8.47

12%of participants reported an increase in the ability to manage emotional issues from 6.93 to 7.73

Wilcoxon test: Manage medical needs, z=9.00, p<.0001; Manage daily activities, z=9.35, p<.0001; Manage emotional issues, z=7.35, p<.0001

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The Doctor/Patient Relationship

• Significant Improvements in Trust

• Significant Improvements in Comfort Asking Questions

• Significant Improvements in Understanding Advice

• Significant Improvements in Remembering Advice

P<.002-.0002

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Chronic Conditions Self-Management: Medication Adherence

59%of those participants who were never, rarely or sometimes compliant

with their medication at baseline increased to being most of the time or always compliant.

90-Day Self-Report Outcomes

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Chronic Conditions Self-Management: Refills 90-Day Self-Reported Outcomes

3.0%1.5%

11.7%

28.6%

55.3%

2.1% 1.3%6.6%

26.7%

63.3%

0.0%

10.0%

20.0%

30.0%

40.0%

50.0%

60.0%

70.0%

Never Rarely Sometimes Fairly Often Always

Baseline vs. 90-Day: Refill Prescription on Time

Baseline90 Day

Wilcoxon test, z=3.75, p<.0001

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31.0%29.5%

24.5%

11.6%

3.4%

36.1%34.2%

20.7%

7.4%

1.7%

0.0%

5.0%

10.0%

15.0%

20.0%

25.0%

30.0%

35.0%

40.0%

Not at all A little Some A fair amount A lot

Baseline vs. 90-Day: Discourage by Health

Baseline90 Day

Wilcoxon test, z=4.44, p<.0001

Chronic Conditions Self-Management: Emotional Control 90-Day Self-Reported Outcomes

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Chronic Conditions Self-Management: Fears 90-Day Self-Reported Outcomes

33.5% 33.9%

19.3%

9.1%

4.2%

38.3%35.2%

18.4%

6.1%

1.9%

0.0%

5.0%

10.0%

15.0%

20.0%

25.0%

30.0%

35.0%

40.0%

45.0%

Not at all A little Some A fair amount A lot

Baseline vs. 90-Day: Fear about Future Health

Baseline90 Day

Wilcoxon test, z=3.48, p=.0001

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Chronic Conditions Self-Management: Worry 90-Day Self-Report Outcomes

36.6%

32.8%

18.8%

7.5%4.3%

40.9%

34.7%

15.8%

6.6%

1.9%

0.0%

5.0%

10.0%

15.0%

20.0%

25.0%

30.0%

35.0%

40.0%

45.0%

Not at all A little Some A fair amount A lot

Baseline vs. 90-Day: Worry about Health

Baseline90 Day

Wilcoxon test, z=3.49, p<.0001

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Chronic Conditions Self-Management: Frustration 90-Day Self-Report Outcomes

33.7%

30.3%

18.3%

10.9%

6.8%

42.4%

27.9%

18.1%

7.0%4.5%

0.0%

5.0%

10.0%

15.0%

20.0%

25.0%

30.0%

35.0%

40.0%

45.0%

Not at all A little Some A fair amount A lot

Baseline vs. 90-Day: Frustration by Health

Baseline90 Day

Wilcoxon test, z=4.51, p<.0001

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Program Satisfaction

20.00%

52.80%

24.11%

2.40% 0.69%0.00%

10.00%

20.00%

30.00%

40.00%

50.00%

60.00%

Care for Your Health

Highmark: Participant Satisfaction

ExcellentVery GoodGoodFairPoor

96.91% of participants rated the program positively

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HealthMedia® Succeed™ T1-T2 ResultsHealth Screenings

34% increase in percent of people who had FOBT test, from 27.0% to 36.2% (X2=41.19, p<.001)

32% increase in percent of people who aged 50+ and had FOBT testfrom 46.5% to 61.4% (X2=26.80, p<.001)

32% increase in percent of people who had Flu vaccinefrom 46.5% to 61.6% (X2=134.50, p<.001)

10% increase in percent of people who had Hepatitis B vaccinefrom 42.4% to 46.5% (X2=11.74, p=.001)

25% increase in percent of people who had Pneumonia vaccinefrom 20.7% to 25.9% (X2=20.25, p<.001)

2% increase in percent of people who had blood pressure checkedfrom 96.7% to 98.3% (X2=7.85, p=.005)

9% increase in percent of people who had cholesterol checkedfrom 86.3% to 93.7% (X2=59.15, p<.001)

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The Economic Outcomes

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Cost Analysis for 2006 CFYH Participants vs. Non-Participants

$4,342 $4,396$4,620

$5,028

$3,321

$3,638

$4,141

$4,429

$3,000

$3,500

$4,000

$4,500

$5,000

$5,500

$6,000

2003 2004 2005 2006 2007

Tota

l hea

lth c

are

cost

Year

CFYH 2006 n=413

Comparison n=360

Total health care costs include inpatient, outpatient, professional, and pharmacy costs. All dollar amounts were adjusted to 2008 values. Trajectory estimate for participants and non-participants used 2nd-order polynomial regression of 2003-2006 cost data for best fit, R2>.98, p<.006.

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Cost Analysis for 2006 CFYH Participants vs. Non-Participants

$4,342 $4,396$4,620

$5,028

$3,321

$3,638

$4,141

$4,429

$5,609

$3,000

$3,500

$4,000

$4,500

$5,000

$5,500

$6,000

2003 2004 2005 2006 2007 Year

Tota

l hea

lthca

re c

ost

CFYH 2006 n=413

Comparison n=360

CFYH Predicted

Total health care costs include inpatient, outpatient, professional, and pharmacy costs. All dollar amounts were adjusted to 2008 values. Trajectory estimate for participants and non-participants used 2nd-order polynomial regression of 2003-2006 cost data for best fit, R2>.98, p<.006.

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Cost Analysis for 2006 CFYH Participants vs. Non-Participants

$4,342 $4,396$4,620

$5,028

$3,321

$3,638

$4,141

$4,429

$5,609

$4,839

$3,000

$3,500

$4,000

$4,500

$5,000

$5,500

$6,000

2003 2004 2005 2006 2007

Tota

l hea

lth c

are

cost

Year

CFYH 2006 n=413

Comparison n=360

CFYH Predicted

Comparison Predicted

Total health care costs include inpatient, outpatient, professional, and pharmacy costs. All dollar amounts were adjusted to 2008 values. Trajectory estimate for participants and non-participants used 2nd-order polynomial regression of 2003-2006 cost data for best fit, R2>.98, p<.006.

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Cost Analysis for 2006 CFYH Participants vs. Non-Participants

$4,342 $4,396$4,620

$5,028

$3,321

$3,638

$4,141

$4,429

$5,023

$5,609

$4,839

$3,000

$3,500

$4,000

$4,500

$5,000

$5,500

$6,000

2003 2004 2005 2006 2007

Tota

l hea

lth c

are

cost

Year

CFYH 2006 n=413

Comparison n=360

CFYH Predicted

Comparison Predicted

Total health care costs include inpatient, outpatient, professional, and pharmacy costs. All dollar amounts were adjusted to 2008 values. Trajectory estimate for participants and non-participants used 2nd-order polynomial regression of 2003-2006 cost data for best fit, R2>.98, p<.006. For participants, one sample test indicated that the actual value in 2007 was significantly lower than the predicted value, t(412)=2.66, p=.008. For non-participants, there was no significant difference between the actual value and the predicted value, t(359)=0.36, p=.719.

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Cost Analysis for 2006 CFYH Participants vs. Non-Participants

$4,342 $4,396$4,620

$5,028

$4,672

$3,321

$3,638

$4,141

$4,429

$5,023

$5,609

$4,839

$3,000

$3,500

$4,000

$4,500

$5,000

$5,500

$6,000

2003 2004 2005 2006 2007 Year

Tota

l hea

lthca

re c

ost

CFYH 2006 n=413

Comparison n=360

CFYH Predicted

Comparison Predicted

$937

Total health care costs include inpatient, outpatient, professional, and pharmacy costs. All dollar amounts were adjusted to 2008 values. Trajectory estimate for participants and non-participants used 2nd-order polynomial regression of 2003-2006 cost data for best fit, R2>.98, p<.006. For participants, one sample t test indicated that the actual value in 2007 was significantly lower than the predicted value, t(412)=2.66, p=.008. For non-participants, there was no significant difference between the actual value and the predicted value, t(359)=0.36, p=.719.

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Cost Analysis for 2006 CFYH Participants vs. Non-Participants

$4,342 $4,396$4,620

$5,028

$4,672

$3,321

$3,638

$4,141

$4,429

$5,023

$5,609

$4,839

$3,000

$3,500

$4,000

$4,500

$5,000

$5,500

$6,000

2003 2004 2005 2006 2007 Year

Tota

l hea

lthca

re c

ost

CFYH 2006 n=413

Comparison n=360

CFYH Predicted

Comparison Predicted

$937

$356

Total health care costs include inpatient, outpatient, professional, and pharmacy costs. All dollar amounts were adjusted to 2008 values. Trajectory estimate for participants and non-participants used 2nd-order polynomial regression of 2003-2006 cost data for best fit, R2>.98, p<.006. For participants, one sample t test indicated that the actual value in 2007 was significantly lower than the predicted value, t(412)=2.66, p=.008. For non-participants, there was no significant difference between the actual value and the predicted value, t(359)=0.36, p=.719.

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Actual 2007 Cost Savings

$178

$126

$3

-$84

-$100

-$50

$0

$50

$100

$150

$200

Inpatient Outpatient Professional Pharmacy

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Chronic Conditions Management: Productivity 90-Day Self-Reported Outcomes

16.32%Baseline Productivity

Impairment

$1,235Projected productivity savings per participant per year

13.85%90-Day Productivity

Impairment

2.47%Point Reduction

=-

=x $50,000 average salary/benefits

Productivity savings data was calculated using the Work Productivity Activity Impairment (WPAI) questionnaire, which employs a validated algorithm to generate an estimate of productivity impairment. The WPAI consists of questions about absence from work, hours actually worked, the reduction in productivity at work, and the reduction in productivity while performing regular activities. Productivity savings is calculated using an average annual salary and benefits package of $50,000.

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ThanksQuestions?

Dr. Steve Schwartz, Ph.D.Research Director, [email protected]


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