ben leedle slides: new metrics for a new era
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TrademarkTM Gallup-Healthways Well-Being Index. All rights reserved.
Copyright 2010 Gallup, Inc. All rights reserved.Copyright 2010 Healthways, Inc. All rights reserved.
Well-Being in the United Kingdom:
Future Implications
London, United Kingdom
April 12, 2011
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Summary of Key Findings To Date
Overall Well-being
Emotional Health
Physical Health
Healthy Behaviour
Work Environment
Basic Access
ERVisits
Hos
pAd
mits
BedDay
s
PharmC
osts
Med
Cos
ts
STDisDay
s
STDisC
osts
JobPe
rf(m
gr)
JobPe
rf(self)
Pres
enteeism
Abse
ntee
ism
Enga
gemen
t
Satisfaction
Intentto
Stay
Medical Cost Performance Withdrawal
Checkmarks show significant correlations. Symbols indicate predictors from multiple regression analysis that emerged as significant,
controlling for other domains, p < .05. Life Evaluation represents global well-being, and so it was not included in the more specific regression
Well-Beingis Related to
Health, Productivity and WorkWithdrawal Outcomes
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Individuals Experts Social Connections Environment Policy
Improving Well-Being
Social
Financial
Community
Physical
Emotional
Career
Well-being is bigger
than Physical Health
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TrademarkTM Gallup-Healthways Well-Being Index. All rights reserved.
Copyright 2010 Gallup, Inc. All rights reserved.Copyright 2010 Healthways, Inc. All rights reserved.
What is the Cost of DoingNothing?
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Science of Behaviour-Condition Relationships
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Complex behaviourcondition relationships
e.g. A (simplified) example of mapping physical activity to coronary artery disease
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First Order Impacts Between Behaviours-Conditions
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Poor diet SmokingAlcohol
use
Poor SoCcompli-
ance
StressInsufficient
sleepPoor
hygiene
Lack ofhealth
screening
Diabetes CADHyper-tension
Dyslipi-demia
Obesity Cancer Asthma Arthritis Allergies SinusitisHeartfailure
COPDChronic
kidney dzDepressionInactivity Back pain
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Inactivity
Poor diet
SmokingAlcohol
use
Poor SoC
compliance
Stress
Insufficientsleep
Poorhygiene
Lack of healthscreening
Back pain
Diabetes
CAD
Hypertension
Dyslipidemia
Obesity
Cancer
Asthma
Arthritis
Allergies
Sinusitis
Heart failure
COPD
Chronickidney dz
Depression
Modifiablebe
havioursan
dCondition
s...
are converted into model inputs
First-order impacts between modifiable behaviours and conditions
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Building the Simulation Engine
7www.healthways.com
Demographic
Segmentation
Initial Participant
Characteristics
Modifiable
Behaviours Conditions Participation
Modifiable
Behaviours
Chronic
Conditions
Value Creation Baseline HWAY Impact
Medical Cost
Productivity
Intervention
Impact
Customizable
Inputs
Assumptions Based
Epidemiological EngineAssign Initial Member
Level Characteristics
Assign Cost to
Severity of ExistingConditions
Managing principal, leadinghealthcare research
companyHealthcare economic,Harvard University
Epidemiologist, Harvard School ofPublic Health
Health Policy expert, Harvard MedicalSchool
Health management expert, JohnsHopkins Bloomberg School of Public
Health
Clinical and health psychologist,University of Rhode Island
CEO, leading behaviour changecompany Economist, Cornell University
Health policy expert, HarvardMedical School
Productivity expert, CornellUniversity
External Experts Had Significant Input on Model Development
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Deploying the Simulation Model
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Vetting with the Framingham Heart Study
Segment Average risk Low risk Average risk Low risk
Male 35-44 6.00% 3.50% 6.93% 3.60%
Male 45-54 12.50% 5.00% 13.80% 6.38%
Male 55-64 18.50% 8.00% 24.28% 11.13%
Female 35-44 1.50% 1.50% 3.00% 1.23%
Female 45-54 6.50% 4.00% 9.15% 5.28%
Female 55-64 12.00% 7.50% 20.23% 10.25%
Framingham Risk Scores Simulation Risk ScoresTen-year risk projection comparison
for the onset of coronary heart disease
Overall, our model, built on national
datasets (NHIS, MEPS, BRFSS) and
epidemiology data, projects similar to
slightly aggressive risk scores in
comparison to Framingham.
We build on this type of detailed-level
data to create population views in the
World Economic Forum Kiosk
Application
Simulation model developed by BCG and Healthways, with support of WEF
Goals
To suggest to leadership ways of thinking about well-being as a
corporate strategic topic
To assess the healthcare and productivity costs associated with the
most costly chronic conditions and behaviours
To show how the presence of a comprehensive well-being programwould affect future healthcare costs and productivity
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Health Status/Risk Matrix United Kingdom
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A Populations Health/Risk profile determine most future costs
HealthDo they have more, less, or average amounts of chronic conditions (like obesity,diabetes, cancer, etc.)?
RiskAre they more, less, or equally likely to engage in risky behaviours (like smoking,
poor diet, poor stress management, etc.)?
RiskSta
tus
Health Status
United
Kingdom
High
Low
Healthier Sicker
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Medical Cost Simulation United Kingdom
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Medical Costs grow over a five-year horizonIllustrated here on a per person basis
Without intervention, chronic conditions can be expected to progress aggressively
Costs are driven both by the communitys demographics and its Health/Risk profile
14.6%Increase
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Lost Productivity Cost United Kingdom
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Lost Productivity Cost grows over a five-year horizonIllustrated here on a per person basis
The same conditions that require medical expenditures also contribute to
lower productivity while an individual is at work.
9.0%Increase
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Medical Cost/Health Condition United Kingdom
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Medical Costs by Health Condition
Illustrated here on a per person basis
The top five conditions account for about 73% of all medical expenses
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Lost Productivity Cost/Health Condition UK
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Lost Productivity Costs by Health ConditionIllustrated here on a per person basis
Obesity alone is responsible forover one-third of all productivity loss
The top five conditions account for about 72% of all productivity loss
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Opportunity for Doing Something UK
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Five-Year, Cumulative Cost Savings through Interventions in Modifiable Behaviours
218
.4Bi
llion
Medical Costs reduced by: 15.47%Lost Productivity Costs reduced by: 7.87%
Total Costs reduced by: 11.11%
25% Reduction in Per Capita Risk Factors
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TrademarkTM Gallup-Healthways Well-Being Index. All rights reserved.
Copyright 2010 Gallup, Inc. All rights reserved.Copyright 2010 Healthways, Inc. All rights reserved.
The Most Difficult Change isPossible!
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Impacting the Enrollment Trend
16
HistoricCo
achin
gEnrollment
LifeMatters
E
nrollmen
t
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Well-Being and Life Evaluation
At T2, more participants reported a higher standing on Cantrils Life Evaluation ladder.
T2T1
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T2
Well-Being and Emotional Health
The basic premise of Life Matters was that improved emotional health would result in
improved physical health. To date, participants who have completed Life Matters reported
standing on a higher rung on the emotional health ladder at T2 than at T1.
T1
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Well-Being and Physical Health
Similar to the emotional health ladder, participants reported an improved
standing on the physical health ladder at T2.
T2T1
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Conclusions
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High Costs of Doing Nothing Different
Both medical and productivity costs impose heavy financial burdens on communities
and companies Without interventions, these costs can be expected to grow and compound
The Primary Sources of These Costs are Known
Chronic conditions cause people to seek care (medical costs) and reduce their ability to
work (productivity) While behaviours do not have costs associated with them, the conditions they create
and exacerbate can have substantial costs
Intervening in Modifiable Behaviours Reduces Costs
Curtailing or eliminating behavioural risks can reduce costly chronic conditions Addressing risks before they become conditions can be a significant source of savings