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REVIEW OF WORKFORCE HEALTH INDICES HOW ORGANIZATIONS CAN MEASURE AND IMPROVE WORKFORCE WELLNESS RON Z. GOETZEL, PH.D. August 12, 2011

Worksite Wellnes Index with Ron Goetzel

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Page 1: Worksite Wellnes Index with Ron Goetzel

REVIEW OF WORKFORCE HEALTH INDICESHOW ORGANIZATIONS CAN MEASURE AND IMPROVE WORKFORCE WELLNESS

RON Z. GOETZEL, PH.D.August 12, 2011

Page 2: Worksite Wellnes Index with Ron Goetzel

WHAT IS A WORKFORCE WELLNESS INDEX

• Qualitative tool to assess the extent to which a an

employer or worksite has adopted ―best practices‖

for population health improvement

• Quantitative tool that aligns employees‘ health risk

profile with outcomes of interest to the organization

(e.g., medical care costs and worker productivity)

• Produces a ―single number‖ reflecting the

interaction of population health risks and cost that

can be compared and contrasted over time

2

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EXAMPLES OF QUALITATIVE TOOLS

• HERO Best Practice Scorecard

• National Business Group on Health Wellness Score Card

• Checklist of Health Promotion Environments at Worksites (CHEW)

• Employers‘ Health and Productivity Management Inventory, Emory

• Environmental Assessment Tool (EAT), UGA/Emory

• Leading by Example (LBE) – Leadership Support Tool, Emory, UGA

• Healthy Employees in Healthy Organizations, ENWHP

• Heart Check: Assessing Worksite Support for a Healthy Lifestyle,

NYSDH

• Heart Check Lite, Fisher & Golaszewski

• Well Workplace Checklist, WELCOA

3

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EXAMPLE OF A WORKSITE HEALTH INDEX

Sample Results

Category

ABC

Inc.’s

Score

Nation

al

Averag

e

Maximu

m

Points

1. Strategic Planning 7 5 11

2. Leadership

Engagement18 16 33

3. Program Level

Management7 11 22

4. Programs 14 28 56

5. Engagement Methods 40 29 67

6. Measurement and

Evaluation2 5 11

TOTAL 88 94 200

Based on ABC Inc.‘s response and database average as of [May 1, 2009].

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HPM Tool (Screenshot)

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LEADING BY EXAMPLE (LBE) ASSESSMENT

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LBE ITEMS

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ENVIRONMENTAL ASSESSMENT TOOL

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PHYSICAL ACTIVITY POLICIES AND ENVIRONMENTAL SUPPORT

– Make available educational information on physical activity (print, web, video, audio) (e.g., brochures

in common areas, links from company website, video or audio library)

– Lay out walking routes and trails (onsite or offsite in surrounding community)

– Post signs at elevators, entrances, by exit signs, etc. that identify stairwell location and encourage

use

– Make available bikes free of charge for onsite transportation

– Install bike racks/bike lockers at common building entrance ways

– Offer pedometer programs (distribute free pedometers)

– Offer onsite fitness center or fitness room

– Encourage use of off-site fitness club subsidies (partial/full reimbursement to employees)

– Encourage use of fitness club discounts (discounts arranged with local fitness/athletic center to

reduce employee out-of-pocket costs)

– Offer time off for physical activity during work hours

– Install fitness equipment at the workstation (e.g., cardio equipment, hand weights/dumb bells,

stretching mats, exercise balls)

– Install sport-specific exercise areas (e.g., basketball, volleyball, racquet ball or tennis courts)

– Offer sports team sponsorship or organized physical activities

– Provide showers/locker rooms

– Develop a newsletter or column for physical activity related information (print or computer-based;

providing information on programs, feature articles, high-risk targeted messaging, etc.)

– Install posters/bulletin boards designated for physical activity information

– Develop policy statement supporting physical activity

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CHANGE AGENT CULTURE OF HEALTH SURVEY

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CDC Worksite Health Index (WHI) Project

Purpose – Why we need a Worksite Health Index:

• The workplace provides many opportunities for

promoting health and preventing disease.

• There is a need for widely available,

recognized tools to assist employers in their

assessment of workplace programs, particularly

small and medium sized businesses.

• Employers are increasingly looking to experts

for practical guidance and population-based

solutions.

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CDC Initiative – Goals

• Develop a tool for use by employers of all sizes

and types to assess their organization‘s ―health‖ in

terms of:

• Worker health/risk factors

• Program, policies, environment, culture

• Other relevant areas important to the success

of workplace health programs

• Allow employers to receive immediate feedback

and link to additional tools and resources

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Stakeholder Panel• David R. Anderson, PhD, LP – StayWell Health Management

• Catherine M. Baase, MD, FAAFP, FACOEM –The Dow Chemical Company

• Ken Holtyn, MS – Holtyn & Associates Health Promotion Consultants

• Pamela Hymel MD, MPH, FACOEM – Cisco Systems

• Laura Linnan, ScD, CHES – University of North Carolina

• Dyann Matson-Koffman DrPH, MPH, CHES – CDC, National Center for Chronic Disease Prevention and Health Promotion

• Nico Pronk, PhD, FACSM, FAWHP – Health Partners, Center for Health Promotion

• Paul Schulte, PhD – CDC, National Institute for Occupational Health and Safety

• Andrew Spaulding, MS – Maine CDC/DHHS Cardiovascular Health Program

• Cristie Travis, MS – Memphis Business Group on Health

• Tonya Vyhlidal, MEd, CHPD, CPT – Lincoln Industries

• Ed Watt, MS – Transport Workers Union

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CDC Approach

• Phase I – Environmental Scan and Planning

• Literature review

• Expert consultation

• Phase II - Develop Worksite Health Index

• Finalize the domains, indicators, and metrics for the

index

• Build and pilot test a prototype

• Phase III - Develop Web Application and

Disseminate

• Translate prototype into functional application

• Promote adoption and utilization of tool

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CDC Environmental Scan

• Used four sources to construct an organizing

framework of WHI best and promising practices

• Three main domains (with 25 subcategories)

• Leadership and Corporate Culture

• Program Design and Implementation

• Program Evaluation

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CDC Worksite Health Index ProjectDomain 1: Leadership and Corporate Culture

CATEGORY/CONCEPT DESCRIPTION/EXAMPLES

1. Leadership and Management Support Demonstrate organizational commitment and leadership

support by engaging mid-level management, sharing

program ownership with all staff levels, and leading by

example.

2. Organizational Culture and Policies A healthy company norm/culture that includes a supportive

physical environment and supportive policies (e.g., healthy

food, no tobacco, flex time).

3. Alignment of Business and Health Goals Explicit connection of health goals and programs to

organization‘s core business objectives and principles.

4. Wellness Champion Identified wellness coordinator/champion, council, or

employee-driven advisory board.

5. Sustainability Scalable and accessible programs.

8/11/2011 16

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CDC Worksite Health Index ProjectDomain 2: Program Design &Implementation

CATEGORY/CONCEPT DESCRIPTION/EXAMPLES

6. Planning and Program Goals Establish clear, consistent, theory and evidence-based principles and a

clearly defined plan of operations with specific program goals and

objectives (and with realistic expectations).

7. Diagnostics and Assessment Use/analysis of claims data, health risk data, biometrics, and measures

of productivity.

8. Integration, Data Systems

and Informatics

Efficient and effective data practices and informatics, integration of

relevant data systems across multiple organizational functions and

departments (e.g., with employee health risk data).

9. Incentives Consider meaningful incentives/rewards and incentives linked to

participation (not to changes in biometrics).

10. Adequate Resources Dedicated, adequate resources spent to achieve desired ROI.

11. Multi-Component

Interventions and Effective

Implementation

Multi-component programs (e.g., health education,

counseling, behavior change/chronic disease risk reduction,

emergency preparedness, safety and the elimination of recognized

occupational hazards), integration of program components at the point

of implementation. Integrated staff (multi-disciplinary; cross

departmental); Integrate/ensure vendor, partners engagement.

12. Tailored Interventions Tailor programs to the specific workplace and provide individualized

interventions.

8/11/2011 17

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CDC Worksite Health Index ProjectDomain 2: Program Design & Implementation

CATEGORY/CONCEPT DESCRIPTION/EXAMPLES

13. Screening and Triage Scalable and effective assessment and screening to identify the highest risk

individuals, triaging of individuals into programs that produce the biggest

payoff/impact, providing public health interventions to keep people at low risk.

14. Piloting Start small/simple and scale up using success of pilot results.

15. Engagement of Local Community Coordinating with insurance and health care providers (especially primary care

providers), public health partners, and community based organizations, using

community resources and linkages.

16. Accessibility/ Reducing Barriers Accessible/attractive programs and initiatives at the worksite and in the

community with services that balance personal, face-to-face interactions with the

latest advancements in computers/technology, the promotion of employee

participation.

17. Confidentiality Relentless focus on safeguarding personal health information, privacy and

protecting confidentiality.

18. Ecological Interventions Environmental/ecological interventions, the social

environment, the built environment in the workplace and community, (e.g., LEED

buildings).

19. Communications Regular, strategic, multi-channel, effective marketing and communication of

results (to management, employees and their dependents).

20. Health Benefits Insurance plan design (coverage; payment structure, degree of innovation in

plan), vacation and sick leave.

8/11/2011 18

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CDC Worksite Health Index ProjectDomain 3: Program Evaluation

CATEGORY/CONCEPT DESCRIPTION/EXAMPLES

21. Measurement and Evaluation Program measurement, analysis and evaluation (e.g. claims data,

evaluation data, audit tools) using rigorous methods that stand up to

peer review.

22. Effective Tools Find and use effective, valid, and reliable tools.

23. Accountability Build accountability at all levels that is linked to rewards.

24. Learn from Results Learn from experience; adjust the program as needed, explicit

connection of results to core values.

25. Economics Return-on-investment (ROI), health care costs, workers‗

compensation, disability.

8/11/2011 19

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DERIVATIVE INSTRUMENT – CDC HEALTH SCORE CARD

20

Page 21: Worksite Wellnes Index with Ron Goetzel

OTHER EXCITING DEVELOPMENTS

• Development of quantitative health indices

– Novartis

– PepsiCo

– Thomson Reuters

• International applications: Discovery Holding

(South Africa)

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EVOLUTION OF THE WORKFORCE WELLNESS INDEX

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PRIOR WORK ON INDEXES

• The Workforce Wellness Index evolved from prior

work carried out in-house at Thomson Reuters

– Health indexes for employer clients such as Pepsi Bottling

Company and Novartis

• Goetzel RZ, Carls GS, Wang S, Kelly E, Mauceri E, Columbus D, Cavuoti A. ―The

relationship between modifiable health risk factors and medical expenditures,

absenteeism, short-term disability and presenteeism among employees at

Novartis. Journal of Occupational and Environmental Medicine. 2009. 51(4): 487-499,

April 2009.

• Henke RM, Carls GS, Short ME, Pei X, Wang S, Moley S, Sullivan M, Goetzel RZ. The

Relationship between Health Risks and Health and Productivity Costs among

Employees at Pepsi Bottling Group. Journal of Occupational and Environmental

Medicine. 52(5):519-527 May 2010

• Kelly E, Carls GS, Lenhart G, Mauceri E, Columbus D, Cavuoti A, Goetzel RZ. The

Novartis Health Index: A method for valuing the economic impact of risk reduction in a

workforce. Journal of Occupational and Environmental Medicine. May 2010; 52(5): 528-

535.

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PBC AND NOVARTIS HEALTH INDEXES

• Indexes based on relationship between observed

health risks and various employer health care and

productivity costs

– Include medical+Rx, workers‘ compensation, short-term

disability, absenteeism and presenteeism

• Indexes link employee health risks and cost data to

produce a single number, which can be used by

management to gauge employee health risks and

costs simultaneously

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HEALTH INDEX PHASES

• Phase I: Develop Descriptive Statistics: Characteristics

of Employees at High vs. Low Health Risks

• Phase II: Investigate Relationships Between Health

Risks, Medical Expenditures, Productivity, and Other

Outcomes

• Phase III: Publish Finding

• Phase IV: Develop an Excel-Based Model to Forecast

the Financial Impact of Interventions Designed to

Improve Health and Lower Health Risks

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NOVARTIS – DATA INTEGRATION

• Collect data needed to measure employee health

risks, productivity, and medical expenditures and

merge these data sets into a single analytic file:

–Medical claims data for inpatient, outpatient, and ancillary

services

–Pharmaceutical claims

–Health plan enrollment data

–Mayo Health risk appraisal (HRA)

–Work Limitations Questionnaire (WLQ) (i.e.,

presenteeism)

– Incidental absence data

–Short-term disability data

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NOVARTIS RISK FACTORS

34%

81%

70%63%

53% 49%

33%

15%10% 8% 7% 5%

0%

25%

50%

75%

100%

Ge

ne

ral H

ea

lth

Nutr

itio

n R

isk

Em

otio

na

l Hea

lth

R

isk

Sa

fety

Ris

k

Weig

ht R

isk

Blo

od

Pre

ssu

re R

isk

Exe

rcis

e R

isk

Cho

leste

rol R

isk

Trigly

ce

rid

es R

isk

To

ba

cco

Ris

k

Blo

od

Su

ga

r R

isk

Alc

oh

ol R

isk

PROPORTION OF STUDY POPULATION AT HIGH RISK

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PHASE I EXAMPLE: PRODUCTIVITY AT WORK*

Low

Risk

High

Risk p-value1

Sample Size 2,282 1,174

Percent Productivity Lost 1.1% 2.0% 0.00

Workdays Lost (Assuming

250-day Work Year)

2.84 4.93

General Health

1P-value for test of difference between low risk and high risk.

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• Females: includes those at risk

for weight, emotional health or

exercise

• Males: includes those at risk for

emotional health or cholesterol

Factor 2: Alcohol and Tobacco

-0.5 0 0.5 1

Blood pressure

Blood sugar

Cholesterol

Triglycerides

Exercise

Emotional

Weight

Alcohol

Tobacco

Factor 3: Emotional Health Risk

-1 -0.5 0 0.5 1

Blood pressure

Blood sugar

Cholesterol

Triglycerides

Exercise

Emotional

Weight

Alcohol

Tobacco

Factor 1: Biometric Risk

0 0.5 1

Blood

pressure

Blood sugar

Cholesterol

Triglycerides

Exercise

Emotional

Weight

Alcohol

Tobacco

Females

Males

Loading (importance) Loading (importance) Loading (importance)

PHASE II:FACTOR ANALYSIS RESULTS

Figure 1: Factor Loadings (importance) of each risk to each factor for all employees

• Males and females: includes

those at risk for blood pressure,

blood sugar, cholesterol,

triglycerides, or weight

• Males and Females: includes

those at risk for alcohol or

tobacco

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PHASE II:RISK FACTORS AND MEDICAL EXPENDITURES

Indicates a statistically significant difference between those at risk and those without risk.

Outcomes and group of health risks

Predicted scenario

Predicted Mean

Impact on dollars or days

(95% CI)

Impact as percent difference from scenario

without the risk (95% CI)

Medical Care Expenditures Annual expenditures

Without risk(s) $3,952 $516 13.1% Females High Biometric Lab Values With risk(s) $4,468 ($146, $885) (3.7%, 22.4%)

Without risk(s) $3,910 $247 6.3% Alcohol - Tobacco Use With risk(s) $4,157 (-$366, $861) (-9.4%, 22.0%)

Without risk(s) $3,925 $500 12.7% Emotional Health

With risk(s) $4,425 ($137, $863) (3.5%, 22.0%)

Without risk(s) $2,540 $557 21.9% Males High Biometric Lab Values With risk(s) $3,097 ($200, $914) (7.9%, 36.0%)

Without risk(s) $2,652 $568 21.4% Alcohol - Tobacco Use With risk(s) $3,220 (-$106, $1,243) (-4.0%, 46.9%)

Without risk(s) $2,530 $561 22.2% Emotional Health

With risk(s) $3,091 ($166, $956) (6.6%, 37.8%)

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PHASE II:RISK FACTORS AND PRESENTEEISM

Outcomes and group of health risks

Predicted scenario

Predicted Mean

Impact on dollars or days

(95% CI)

Impact as percent difference from scenario

without the risk (95% CI)

Presenteeism Annual unproductive days

Without risk(s) 0.73 0.88 121.6% Females High Biometric Lab Values With risk(s) 1.61 (0.77, 1.00) (105.9%, 137.2%)

Without risk(s) 0.69 1.65 238.1% Alcohol - Tobacco Use With risk(s) 2.34 (1.34, 1.95) (193.8%, 282.3%)

Without risk(s) 0.74 0.86 115.7% Emotional Health

With risk(s) 1.60 (0.75, 0.97) (100.7%, 130.7%)

Without risk(s) 0.50 0.73 146.2% Males High Biometric Lab Values With risk(s) 1.23 (0.65, 0.81) (129.6%, 162.8%)

Without risk(s) 0.59 1.33 224.0% Alcohol - Tobacco Use With risk(s) 1.93 (1.07, 1.59) (180.6%, 267.3%)

Without risk(s) 0.54 0.87 159.7% Emotional Health

With risk(s) 1.41 (0.76, 0.97) (139.8%, 176.9%)

Indicates a statistically significant difference between those at risk and those without risk.

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PHASE III: JOEM PUBLICATION

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PHASE IV: BUSINESS APPLICATIONDEVELOPING AN EXCEL-BASED MODEL

Model Inputs

Enter the demographics

characteristics and the

baseline health risk profile

for a target population.

Choose small, medium, or

large risk reduction for each

of the different health risk

factors.

References tables of

regression equations and

factor loadings from Phase II.

The Model Consists of

Formulas that Combine

the Inputs to Calculate

Estimated Savings from:

• Medical Care

• Short-term Disability

• Incidental Absence

• Workplace Productivity

• Sales Performance

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• Data points that can be customized for each run of the model include:– Population size

– Percent female

– Age distribution

– Geographic distribution (by region)

– Health plan distribution

– Percent participation in program

– Percent of participants ‗at risk‘ (by 9 risk factors) at baseline

– Average daily wage and benefits load (for monetized presenteeism)

EXCEL MODEL INPUTS

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• After customizing inputs, the predicted impact on risk level of the program considered can be modeled.

• For each factor –biometric, alcohol and tobacco, and emotional health, the impact on risk can be selected for males and females.– No change

– Small decrease

– Medium decrease

– Large decrease

CHANGES IN RISK

2

3

4

5

6

7

8

9

10

11

12

13

14

15

16

B C D

Females Males

Hypothetical Reduction

in Risk Level

Hypothetical Reduction

in Risk Level

FALSE FALSE

TRUE TRUE

FALSE FALSE

Emotional

Health

Risk

Specify Hypothetical Changes in Risk Level

Biometric

Risk

Alcohol &

Tobacco

Risk

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RESULTS FROM RISK CHANGES

Potential Savings Due to Reduction in Health Risk

Baseline Risk

Level

Reduction in Risk

Level

Change Minus

Baseline

Medical

Expenditure$15,912,606 $15,788,088 -$124,518

Absence

Payment$4,218,869 $4,150,426 -$68,443

Presenteeism $8,320,131 $7,870,190 -$449,940

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MODEL OUTPUT: HEALTH INDEXPredicted Average Annual Cost per Employee by Population Health Index

$0

$2,000

$4,000

$6,000

$8,000

$10,000

$12,000

$14,000

$16,000

0 10 20 30 40 50 60 70 80 90 100

High Risk Population Health Index Low Risk

Annual C

ost

per

Em

plo

yee P

redic

ted b

y M

odel

Med & Rx Absence+STD Presenteeism Total Cost Baseline Reduction

Baseline Health Index = 79

Model Predicted PEPY Cost = $6,989

Absence+STD Presenteeism Reduction

An

nu

al C

ost p

er

Em

plo

ye

e P

red

icte

d b

y M

od

el

Total Cost

Health Index after Reduction = 81

Model Predicted PEPY Cost = $6,841

Baseline Health Index = 79

Model Predicted PEPY Cost = $6,989

Baseline Reduction

High Risk

Med & Rx

Low RiskPopulation Health index

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PEPSICO STUDY

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PBC - OVERWEIGHT/OBESE ANALYSIS

$0

$2,000

$4,000

$6,000

$8,000

$10,000

Medic

al

ST

D

WC

Pre

se

nte

eis

m

Ab

se

nce

s

To

tal

Adjusted predicted annual costs for employees by BMI

Normal

Overweight

Class I

Class II

Class III

Difference between

combined overweight/

obese categories and

normal weight is

displayed

Diff =

25%,

$987

Diff =

10%,

$28

Diff =

7%,

$49

Diff =

26%,

$186*

Diff =

58%,

$111*

Diff =

29%,

$613*

74% of the

sample is

overweight or

obese

*At least one difference significant at the 0.05 level

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Model Inputs (you can click in any of the white boxes and type a new value)

Enter distribution (%) for demographics and health risks

41.1% 18-34 27,000 Number of employees

28.4% 35-44 $204 Average daily wage & benefit

22.9% 45-54 0% Percent who will participate

(Total = 100%) 7.6% 55-64 Intervention $0 Annual cost per participant

Gender 11.7% Female $2,505 Medical expenditure

20.2% Northeast $664 Workers Compensation

10.6% North Central $293 STD payment

42.4% South 2.4% Presenteeism (%)

(Total = 129.1%) 26.8% West 2.7 Health-related absence days

29.1% Sales

7.9% Professional/Non-manager

16.3% Manager

9.1% Technician

5.4% Clerical/Office

31.6% Laborer/Production

(Total = 100%) 0.7% Unknown

42.8% Overweight

21.8% Obese Class I

7.1% Obese Class II

3.1% Obese Class III

17.2% High blood pressure

3.0% High blood glucose

12.1% High total cholesterol

14.3% Physical inactivity

14.9% Poor diet

14.6% Stress

5.0% Depression

23.9% Tobacco use

10.1% Alcohol

0.6% Type I Diabetes

Health

Risks

Baseline

Annual

Health and

Productivity

Costs per

Employee

Employee

StatisticsAge

Job Type

Geographic

Region

Select a work site from the drop-down list:

Selecting a work site will populate the model inputs with

values specific for the site. Sites with 100+ employees are

listed individually, sites with 50-99 employees are grouped

by geographic region; sites with fewer than 50 employees

are grouped nationally.

National Total

MODEL INPUTS TAB

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MODEL RESULTS – PROJECTED CHANGE

41

Model Results (you can click in any of the white boxes and type a new value for percent risk reduction)

Enter percent risk reduction for the health risks; savings will update dynamically.

Health RiskRisk

Reduction

Per

Employee

Total

Participants

Overweight 10% Baseline $2,505 $20,287,665

Obese Class I 10% Risk Reduction $2,426 $19,654,463

Obese Class II 10% Savings = $78 $633,202

Obese Class III 10% Baseline $664 $5,381,721

High blood pressure 10% Risk Reduction $644 $5,215,554

High blood glucose 10% Savings = $21 $166,167

High total cholesterol 10% Baseline $293 $2,374,353

Physical inactivity 10% Risk Reduction $279 $2,259,365

Poor diet 10% Savings = $14 $114,988

Stress 10% Baseline $323 $2,620,156

Depression 10% Risk Reduction $318 $2,578,173

Tobacco use 10% Savings = $5 $41,983

Alcohol 10% Baseline $542 $4,388,019

Risk Reduction $533 $4,320,296

Savings = $8 $67,723

Total Savings $126 $1,024,064

Annual Savings/Employee

With a 1 Point Increase

in the Health Index

$124

Health-related Absence

Projected Savings from Risk Reduction

Medical expenditure

Workers Compensation

STD payment

Presenteeism cost

$1.26

ROI is the net savings for each

dollar invested.

An ROI of $1.00 indicates break

even.

0 => highest possible risk

100 => lowest possible risk

Health Index

(after Risk Reduction)

92.5

Return on Investment

(ROI)

27,000 Number of employees

$204 Average daily wage & benefit

30% Percent who will participate

Intervention $100 Annual cost per participant

Employee

Statistics

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HEALTH INDEX SCORE BY WORKSITE

93.9 88.3 92.0 91.4 92.1 91.5

0

20

40

60

80

100

Loc A Loc B Loc C Loc D Loc E PBC Avg

Po

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latio

n H

ea

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In

de

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Hig

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r R

isk

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THOMSON REUTERSWORKFORCE WELLNESS INDEX

• Background

– Modifiable health risk factors are associated with

increased healthcare and productivity costs

• Objectives

– Devise a methodology to create a health risk score that

can be applied to health risk assessment (HRA) data and

correlates with costs associated with health risk factors

– Devise a methodology that allows comparison of a

population subset to a total health risk score

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DATA SOURCES• MarketScan Medical and Drug Claim Database

– Eligibility, Medical and Drug Paid Claims Data for Self-Insured

Employers and Health Plans, 2005-2009

– Over 25 Million Covered Lives in 2009

– Eligibility and Medical Claims were used to Derive Employee

Demographics and Comorbidities (for Risk Adjustment)

– Medical and Drug Claims were used to Estimate Prospective

Healthcare Costs

• MarketScan Health and Productivity Management Database

– Health Risk Assessment Survey, Absenteeism, Workers

Compensation and Short Term Disability Data, 2005-2009

– Over 2 Million HRAs in 2009

– Linkable to the MarketScan Medical and Drug Claim Database

– HRA Survey Questions were used to Estimate Behavioral Risk

Prevalence Rates and to Identify the Presence/Absence of High Risks44

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THOMSON REUTERSWORKFORCE WELLNESS INDEX• Two indexes were constructed

• MARKETSCAN® INDEX: Prevalence and cost of 8 risk

factors based on MarketScan medical and drug claims

matched to Health Risk Assessment (HRA) data (privately

insured; adjusted to U.S. demographics)

• U.S. INDEX: Prevalence of 6 risk factors for U.S. employed,

privately insured population age 18-64 with MarketScan cost

weights applied

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- Body Mass Index (BMI) - Tobacco Use

- Blood Glucose - Alcohol Use

- Blood Pressure - Stress (U.S. rates not available)

- Cholesterol - Exercise (U.S. rates not available)

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SAMPLE

• Active full-time employees

• Ages 18-64

• Enrolled in non-capitated health plans

• Continuously enrolled for 365 days before and after

the index HRA date

• Non-pregnant individuals

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HEALTH RISK INDEX—DATA SOURCESHigh Risk Definitions

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Risk Factor High Risk Definition

BMI BMI >= 30

Blood Pressure Systolic >=140 or diastolic >=90

Cholesterol Total Cholesterol >= 240

Glucose Total Glucose >= 126

Tobacco

Currently smoke cigarettes or use any form of

tobacco

Alcohol More than 2 drinks per day

Stress

Sometimes or Often feel stressed and have

trouble coping

Exercise

Exercise less than two days per week or less

than 20 minutes per day or

non-exerciser/light exerciser in the previous

month

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METHODS

• Prevalence of health risks was calculated for the

sample population

– To compensate for possible differences in demographic

composition of the MarketScan HRA sample and the

national employed workforce, adjustment weights were

applied when computing the yearly prevalence rates from

the MarketScan HRA sample

– Adjustment weights were derived from the Current

Population Survey for the years 2005-2009

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METHODS

• Regression models were used to estimate the

importance weights used to derive the overall index

score

– Importance weights were computed from risk factor

coefficients from the regression model that estimated the

cost effect of the risk factors and other covariates.

– Each risk factor importance weight can be interpreted as

the annual percentage increase in medical and drug costs

due to presence of a risk factor, controlling for all other

risk factors, comorbid conditions and employee

characteristics

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METHODS

• The U.S. Index was computed as follows:

– The Behavioral Risk Factor Surveillance Survey (BRFSS)

and the National Health and Nutrition Examination Survey

(NHANES) were used to estimate behavioral risk

prevalence rates for the insured, employed population of

the U.S. as a whole

– Importance weights were derived from the MarketScan

claims database

– The U.S. Index was then computed in a manner similar to

the Workforce Wellness Index

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WORKFORCE WELLNESS INDEXESU.S. AND MARKETSCAN 2005-2009

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82.5

83.0

83.5

84.0

84.5

85.0

85.5

86.0

86.5

87.0

2005 2006 2007 2008 2009

U.S. Wellness Index MarketScan Wellness Index

Note: Each index is a composite of 6 risk factors:

BMI, Blood Glucose, Blood Pressure, Cholesterol, Tobacco Use, Alcohol Use

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RESULTS

• Between 2005 and 2009, the U.S. Workforce

Wellness Index worsened, declining from 86.4 to

84.4

• The MarketScan sample improved, increasing from

84.1 to 86.2. An index of 100 represents the ideal

state where there are no behavioral risk factors

present in the employed population and, therefore,

no healthcare costs due to these risks

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WORKFORCE WELLNESS INDEXESTIMATED ANNUAL COST IMPACT1

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$(50)

$-

$50

$100

$150

$200

$250

$300

$350

$400

$450

BMI Blood Pressure Cholesterol Glucose Tobacco Alcohol

Implied Cost Impact (based on 2009 Prevalence Rates)

1Based on cost and prevalence rates in MarketScan data sets

Note: Cholesterol and Alcohol Use statistically have no medical/drug cost impact

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DISCOVERY VITALITY WELLNESS HEALTHY COMPANY INDEX

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EMPLOYEE HEALTH ASSESSMENT

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REPORTING BMI AND NUTRITION

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ORGANIZATIONAL HEALTH

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LEADERSHIP SUPPORT

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AND THE WINNERS ARE…

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SUMMARY WORKFORCE WELLNESS INDEXES

• There are lots of them out there

• Some are qualitative, others quantitative, and yet

others are both

• They aim to connect organizational health,

individual risk factors, and financial metrics

• The goals – to come up with one number that

reflects a composite health/cost score – like the

―Dow Jones‖ industrial average

• Measures the impact of improving behavioral risk

factors on healthcare cost in employed populations

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