Do Workplace Wellness Programs Work? 2nd National Workplace Health Summit New Orleans, Louisiana -- Nov. 11, 2016

Transcription

1 Do Workplace Wellness Programs Work? 2nd National Workplace Health Summit New Orleans, Louisiana -- Nov. 11, 2016 Ron Z. Goetzel, Ph.D., Johns Hopkins University and Truven Health Analytics, an IBM Company

2 Agenda The business case for adopting evidence-based, comprehensive & well-resourced workplace health promotion programs Review the methods used to evaluate programs in the real world Acknowledge the limitations of average programs that may not produce expected outcomes Highlight top ten elements essential for effective wellness programs Review value-on-investment (VOI) approaches to assess workplace programs in contrast to traditional return-on-investment (ROI) models Discuss implications for public policy 2

3 The Controversy: Do Health Promotion Programs Work? 3

4 The Confusion 4

5 5 New York Times September

6 JOEM Article September 2014 Yes, if you do them right! 6

7 What Do We Mean When We Say: A Wellness Program Works? Make workers aware of their health and how it improves quality of life. High participation and engagement. Lose weight, stop smoking, exercise more. Medical claims costs should go down. Less absenteeism, fewer safety incidents. Attract the best talent. Happier workers with more energy. Create a culture of health. 7

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9 What Do We Mean When We Say: A Wellness Program Works? (Con t) Produce a positive return on investment (ROI)? 9

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11 Q: What problem are we trying to solve? A: Spending a lot of money on sick care! The United States will spend $3.351 trillion in healthcare in 2016, or $10,346 for every man, woman and child. Spending by sector Private health insurance - $1.093 trillion Medicare - $681.3 billion Medicaid - $577.7 billion Out of pocket -- $350.1 billion Health expenditures as percent of GDP: 7.2 % in % in 2016 (projected) 20.1% in 2025 (projected) Source: Keehan et al., Health Affairs, 35:8, August 2016

12 LEADING CAUSES OF DEATH IN THE U.S. Cause of Death # of Deaths Percentage Heart Disease 710,760 30% Malignant Neoplasm 553,091 23% Cerebrovascular Disease 167,661 7% Chronic Lower Respiratory Tract Disease 122,009 5% Unintentional Injuries 97,900 4% Diabetes 69,301 3% Influenza / Pneumonia 65,313 3% Alzheimer's 49,558 2% Nephritis 37,251 2% Septicemia 31,224 1% Other 499,283 21% Total 2,403, % *Source: Year 2000, Mokdad et al., JAMA,291:10, March,

13 The Good News: Heart Disease Rates are Declining 13

14 Actual Causes of Death 14

15 And, Costs Continue to Rise Employer Per Capita Spending on Healthcare 15

16 Convince me Why should I invest in the health and well-being of my workers? 16

17 What Is the Evidence Base? A large proportion of diseases and disorders is preventable. Modifiable health risk factors are precursors to a large number of diseases and disorders and to premature death (Healthy People 2000, 2010, Amler & Dull, 1987, Breslow, 1993, McGinnis & Foege, 1993, Mokdad et al., 2004) Many modifiable health risks are associated with increased health care costs within a relatively short time window (Milliman & Robinson, 1987, Yen et al., 1992, Goetzel, et al., 1998, Anderson et al., 2000, Bertera, 1991, Pronk, 1999, Goetzel 2012) Modifiable health risks can be improved through workplace sponsored health promotion and disease prevention programs (Wilson et al., 1996, Heaney & Goetzel, 1997, Pelletier, , Soler et al. 2010) Improvements in the health risk profile of a population can lead to reductions in health costs (Edington et al., 2001, Goetzel et al., 1999, Carls et al., 2011) Worksite health promotion and disease prevention programs save companies money in health care expenditures and produce a positive ROI (Citibank , Procter and Gamble 1998, Highmark, 2008, Johnson & Johnson, 2011, Dell 2015, Duke University 2015) 17

18 Diseases Caused (at Least Partially) by Lifestyle Obesity: Cholesystitis/Cholelithiasis, Coronary Artery Disease, Diabetes, Hypertension, Lipid Metabolism Disorders, Osteoarthritis, Sleep Apnea, Venous Embolism/Thrombosis, Cancers (Breast, Cervix, Colorectal, Gallbladder, Biliary Tract, Ovary, Prostate) Tobacco Use: Cerebrovascular Disease, Coronary Artery Disease, Osteoporosis, Peripheral Vascular Disease, Asthma, Acute Bronchitis, COPD, Pneumonia, Cancers (Bladder, Kidney, Urinary, Larynx, Lip, Oral Cavity, Pharynx, Pancreas, Trachea, Bronchus, Lung) Lack of Exercise: Coronary Artery Disease, Diabetes, Hypertension, Obesity, Osteoporosis Poor Nutrition: Cerebrovascular Disease, Coronary Artery Disease, Diabetes, Diverticular Disease, Hypertension, Oral Disease, Osteoporosis, Cancers (Breast, Colorectal, Prostate) Alcohol Use: Liver Damage, Alcohol Psychosis, Pancreatitis, Hypertension, Cerebrovascular Disease, Cancers (Breast, Esophagus, Larynx, Liver) Stress, Anxiety, Depression: Coronary Artery Disease, Hypertension Uncontrolled Hypertension: Coronary Artery Disease, Cerebrovascular Disease, Peripheral Vascular Disease Uncontrolled Lipids: Coronary Artery Disease, Lipid Metabolism Disorders, Pancreatitis, Peripheral Vascular Disease 18

19 Age-Adjusted Prevalence of Obesity and Diagnosed Diabetes Among US Adults Obesity (BMI 30 Kg/m 2 ) 1994 Diabetes Missing Data <14.0% 14.0% 17.9% 18.0% 21.9% 22.0% 25.9% 26.0% Missing data <4.5% 4.5% 5.9% 6.0% 7.4% 7.5% 8.9% 9.0% CDC s Division of Diabetes Translation. National Diabetes Surveillance System available at 19

20 Age-Adjusted Prevalence of Obesity and Diagnosed Diabetes Among US Adults Obesity (BMI 30 Kg/m 2 ) 1995 Diabetes Missing Data <14.0% 14.0% 17.9% 18.0% 21.9% 22.0% 25.9% 26.0% Missing data <4.5% 4.5% 5.9% 6.0% 7.4% 7.5% 8.9% 9.0% CDC s Division of Diabetes Translation. National Diabetes Surveillance System available at 20

21 Age-Adjusted Prevalence of Obesity and Diagnosed Diabetes Among US Adults Obesity (BMI 30 Kg/m 2 ) 1996 Diabetes Missing Data <14.0% 14.0% 17.9% 18.0% 21.9% 22.0% 25.9% 26.0% Missing data <4.5% 4.5% 5.9% 6.0% 7.4% 7.5% 8.9% 9.0% CDC s Division of Diabetes Translation. National Diabetes Surveillance System available at 21

22 Age-Adjusted Prevalence of Obesity and Diagnosed Diabetes Among US Adults Obesity (BMI 30 Kg/m 2 ) 1997 Diabetes Missing Data <14.0% 14.0% 17.9% 18.0% 21.9% 22.0% 25.9% 26.0% Missing data <4.5% 4.5% 5.9% 6.0% 7.4% 7.5% 8.9% 9.0% CDC s Division of Diabetes Translation. National Diabetes Surveillance System available at 22

23 Age-Adjusted Prevalence of Obesity and Diagnosed Diabetes Among US Adults Obesity (BMI 30 Kg/m 2 ) 1998 Diabetes Missing Data <14.0% 14.0% 17.9% 18.0% 21.9% 22.0% 25.9% 26.0% Missing data <4.5% 4.5% 5.9% 6.0% 7.4% 7.5% 8.9% 9.0% CDC s Division of Diabetes Translation. National Diabetes Surveillance System available at 23

24 Age-Adjusted Prevalence of Obesity and Diagnosed Diabetes Among US Adults Obesity (BMI 30 Kg/m 2 ) 1999 Diabetes Missing Data <14.0% 14.0% 17.9% 18.0% 21.9% 22.0% 25.9% 26.0% Missing data <4.5% 4.5% 5.9% 6.0% 7.4% 7.5% 8.9% 9.0% CDC s Division of Diabetes Translation. National Diabetes Surveillance System available at 24

25 Age-Adjusted Prevalence of Obesity and Diagnosed Diabetes Among US Adults Obesity (BMI 30 Kg/m 2 ) 2000 Diabetes Missing Data <14.0% 14.0% 17.9% 18.0% 21.9% 22.0% 25.9% 26.0% Missing data <4.5% 4.5% 5.9% 6.0% 7.4% 7.5% 8.9% 9.0% CDC s Division of Diabetes Translation. National Diabetes Surveillance System available at 25

26 Age-Adjusted Prevalence of Obesity and Diagnosed Diabetes Among US Adults Obesity (BMI 30 Kg/m 2 ) 2001 Diabetes Missing Data <14.0% 14.0% 17.9% 18.0% 21.9% 22.0% 25.9% 26.0% Missing data <4.5% 4.5% 5.9% 6.0% 7.4% 7.5% 8.9% 9.0% CDC s Division of Diabetes Translation. National Diabetes Surveillance System available at 26

27 Age-Adjusted Prevalence of Obesity and Diagnosed Diabetes Among US Adults Obesity (BMI 30 Kg/m 2 ) 2002 Diabetes Missing Data <14.0% 14.0% 17.9% 18.0% 21.9% 22.0% 25.9% 26.0% Missing data <4.5% 4.5% 5.9% 6.0% 7.4% 7.5% 8.9% 9.0% CDC s Division of Diabetes Translation. National Diabetes Surveillance System available at 27

28 Age-Adjusted Prevalence of Obesity and Diagnosed Diabetes Among US Adults Obesity (BMI 30 Kg/m 2 ) 2003 Diabetes Missing Data <14.0% 14.0% 17.9% 18.0% 21.9% 22.0% 25.9% 26.0% Missing data <4.5% 4.5% 5.9% 6.0% 7.4% 7.5% 8.9% 9.0% CDC s Division of Diabetes Translation. National Diabetes Surveillance System available at 28

29 Age-Adjusted Prevalence of Obesity and Diagnosed Diabetes Among US Adults Obesity (BMI 30 Kg/m 2 ) 2004 Diabetes Missing Data <14.0% 14.0% 17.9% 18.0% 21.9% 22.0% 25.9% 26.0% Missing data <4.5% 4.5% 5.9% 6.0% 7.4% 7.5% 8.9% 9.0% CDC s Division of Diabetes Translation. National Diabetes Surveillance System available at 29

30 Age-Adjusted Prevalence of Obesity and Diagnosed Diabetes Among US Adults Obesity (BMI 30 Kg/m 2 ) 2005 Diabetes Missing Data <14.0% 14.0% 17.9% 18.0% 21.9% 22.0% 25.9% 26.0% Missing data <4.5% 4.5% 5.9% 6.0% 7.4% 7.5% 8.9% 9.0% CDC s Division of Diabetes Translation. National Diabetes Surveillance System available at 30

31 Age-Adjusted Prevalence of Obesity and Diagnosed Diabetes Among US Adults Obesity (BMI 30 Kg/m 2 ) 2006 Diabetes Missing Data <14.0% 14.0% 17.9% 18.0% 21.9% 22.0% 25.9% 26.0% Missing data <4.5% 4.5% 5.9% 6.0% 7.4% 7.5% 8.9% 9.0% CDC s Division of Diabetes Translation. National Diabetes Surveillance System available at 31

32 Age-Adjusted Prevalence of Obesity and Diagnosed Diabetes Among US Adults Obesity (BMI 30 Kg/m 2 ) 2007 Diabetes Missing Data <14.0% 14.0% 17.9% 18.0% 21.9% 22.0% 25.9% 26.0% Missing data <4.5% 4.5% 5.9% 6.0% 7.4% 7.5% 8.9% 9.0% CDC s Division of Diabetes Translation. National Diabetes Surveillance System available at 32

33 Age-Adjusted Prevalence of Obesity and Diagnosed Diabetes Among US Adults Obesity (BMI 30 Kg/m 2 ) 2008 Diabetes Missing Data <14.0% 14.0% 17.9% 18.0% 21.9% 22.0% 25.9% 26.0% Missing data <4.5% 4.5% 5.9% 6.0% 7.4% 7.5% 8.9% 9.0% CDC s Division of Diabetes Translation. National Diabetes Surveillance System available at 33

34 Age-Adjusted Prevalence of Obesity and Diagnosed Diabetes Among US Adults Obesity (BMI 30 Kg/m 2 ) 2009 Diabetes Missing Data <14.0% 14.0% 17.9% 18.0% 21.9% 22.0% 25.9% 26.0% Missing data <4.5% 4.5% 5.9% 6.0% 7.4% 7.5% 8.9% 9.0% CDC s Division of Diabetes Translation. National Diabetes Surveillance System available at 34

35 Age-Adjusted Prevalence of Obesity and Diagnosed Diabetes Among US Adults Obesity (BMI 30 Kg/m 2 ) 2010 Diabetes Missing Data <14.0% 14.0% 17.9% 18.0% 21.9% 22.0% 25.9% 26.0% Missing data <4.5% 4.5% 5.9% 6.0% 7.4% 7.5% 8.9% 9.0% CDC s Division of Diabetes Translation. National Diabetes Surveillance System available at 35

36 Age-Adjusted Prevalence of Obesity and Diagnosed Diabetes Among US Adults Obesity (BMI 30 Kg/m 2 ) 2011 Diabetes Missing Data <14.0% 14.0% 17.9% 18.0% 21.9% 22.0% 25.9% 26.0% Missing data <4.5% 4.5% 5.9% 6.0% 7.4% 7.5% 8.9% 9.0% CDC s Division of Diabetes Translation. National Diabetes Surveillance System available at 36

37 Age-Adjusted Prevalence of Obesity and Diagnosed Diabetes Among US Adults Obesity (BMI 30 Kg/m 2 ) 2012 Diabetes Missing Data <14.0% 14.0% 17.9% 18.0% 21.9% 22.0% 25.9% 26.0% Missing data <4.5% 4.5% 5.9% 6.0% 7.4% 7.5% 8.9% 9.0% CDC s Division of Diabetes Translation. National Diabetes Surveillance System available at 37

38 Age-Adjusted Prevalence of Obesity and Diagnosed Diabetes Among US Adults Obesity (BMI 30 Kg/m 2 ) 2013 Diabetes Missing Data <14.0% 14.0% 17.9% 18.0% 21.9% 22.0% 25.9% 26.0% Missing data <4.5% 4.5% 5.9% 6.0% 7.4% 7.5% 8.9% 9.0% CDC s Division of Diabetes Translation. National Diabetes Surveillance System available at 38

39 Age-Adjusted Prevalence of Obesity and Diagnosed Diabetes Among US Adults Obesity (BMI 30 Kg/m 2 ) 2014 Diabetes Missing Data <14.0% 14.0% 17.9% 18.0% 21.9% 22.0% 25.9% 26.0% Missing data <4.5% 4.5% 5.9% 6.0% 7.4% 7.5% 8.9% 9.0% CDC s Division of Diabetes Translation. National Diabetes Surveillance System available at 39

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42 Is This True for Employers? Vanderbilt 8-Year Study 42

43 Obesity and Diabetes 43

44 BOTTOM LINE: THE VAST MAJORITY OF CHRONIC DISEASE CAN BE PREVENTED OR BETTER MANAGED The Centers for Disease Control and Prevention (CDC) estimates 80% of heart disease and stroke 80% of type 2 diabetes 40% of cancer could be prevented if only Americans were to do three things: Stop smoking Start eating healthy Get in shape 44

45 Good News Worksite Health Promotion Works! Caveat: If you do it right 45

46 CDC Community Guide to Preventive Services Review AJPM, February Studies Reviewed 46

47 Summary Results and Team Consensus Outcome Body of Evidence Consistent Results Magnitude of Effect Finding Alcohol Use 9 Yes Variable Sufficient Fruits & Vegetables % Fat Intake % Change in Those Physically Active Tobacco Use No Yes 0.09 serving -5.4% Insufficient Strong Yes pct pt Sufficient Prevalence 23 Yes 2.3 pct pt Cessation 11 Yes +3.8 pct pt Strong Seat Belt Non-Use 10 Yes 27.6 pct pt Sufficient 47

48 Summary Results and Team Consensus Outcome Body of Evidence Consistent Results Magnitude of Effect Finding Diastolic blood pressure 17 Yes Diastolic: 1.8 mm Hq Strong Systolic blood pressure 19 Yes Systolic: 2.6 mm Hg Risk prevalence 12 Yes 4.5 pct pt BMI 6 Yes 0.5 pt BMI Weight 12 No 0.56 pounds Insufficient % body fat 5 Yes 2.2% body fat Risk prevalence 5 No 2.2% at risk Total Cholesterol 19 Yes 4.8 mg/dl (total) Strong HDL Cholesterol 8 No +.94 mg/dl Risk prevalence 11 Yes 6.6 pct pt Fitness 5 Yes Small Insufficient 48

49 Summary Results and Team Consensus Outcome Body of Evidence Consistent Results Magnitude of Effect Finding Estimated Risk 15 Yes Moderate Sufficient Healthcare Use 6 Yes Moderate Sufficient Worker Productivity 10 Yes Moderate Strong 49

50 What About ROI? Critical Steps to Success Financial ROI Reduced Utilization Risk Reduction Behavior Change Improved Attitudes Awareness Participation Increased Knowledge 50

51 Health Affairs ROI Literature Review Baicker K, Cutler D, Song Z. Workplace Wellness Programs Can Generate Savings. Health Aff (Millwood). 2010; 29(2). Published online 14 January

52 Results - Medical Care Cost Savings Description N Average ROI Studies reporting costs and savings 15 $3.37 Studies reporting savings only 7 Not Available Studies with randomized or matched control group Studies with non-randomized or matched control group All studies examining medical care savings 9 $ $ $

53 Results Absenteeism Savings Description N Average ROI Studies reporting costs and savings 12 $3.27 All studies examining absenteeism savings 22 $

54 Goetzel s Rule: an ROI of 1:1 Is Good Enough 54

55 if You Can Demonstrate Health Improvement! 55

56 Poor Health Costs Money Drill Down Medical Absence/work loss Safety Presenteeism 56

57 Top 10 Most Costly Physical Health Conditions Medical, Drug, Absence, STD Expenditures (1999 annual $ per eligible), by Component 57

58 Annual Costs The Big Picture: Overall Burden of Illness $450 Using Average Impairment and Prevalence Rates for Presenteeism ($23.15/hour wage estimate) $400 $350 $300 $250 $200 $150 Presenteeism STD Absence RX ER Outpatient Inpatient $100 $50 $- Allergy* Arthritis Asthma Any Cancer Depression/Sadness/Mental Illness Diabetes Heart Disease Hypertension Migraine/Headache Source: Goetzel, Long, Ozminkowski, et al. JOEM 46:4, April, 2004) 58 Respiratory Infections

59 HERO II Study 59

60 Cost Per Capita of Risk Factors

61 IMPACT OF COEXISTING MULTIPLE RISK FACTORS With multiple risk factors Without any of the risk factors % difference High risk for heart disease $10,134 $3, % High risk for stroke $6,137 $3, % High risk for psychosocial problems $6,165 $3, % Risk-free individual is estimated to have medical expenditures of $3,207 Risks for heart disease include: tobacco use, high blood pressure, high blood glucose, high cholesterol, lack of exercise, obesity and stress Risks for stroke include: tobacco use, high blood pressure, high cholesterol, and stress Risks for psychosocial problems include: stress and depression 61

62 Research on Risk-Cost Relationships - Novartis 62

63 Risk Factors and Presenteeism (N = 5,875) Risk factors predicted additional presenteeism days/year 63

64 Risk-Cost Relationships at PepsiCo 64

65 Percentage Sample In Each BMI Category BMI Breakdown by Category 50% 45% 44% 40% 35% 30% 25% 20% 25% 22% 15% 10% 5% 7% 3% 0% Normal BMI < 25 Overweight BMI Class I BMI Class II BMI Class III BMI

66 PepsiCo Overweight / Obese Analysis (N=11,217) Difference between combined overweight/obese categories and normal weight is displayed Source: 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. J Occup Environ Med. 52, 5, May

67 NHLBI Multi-Center Study: Estimated Annual Costs of Healthcare Utilization, Absenteeism, and Presenteeism by BMI Category Doctor Visits Emergency Room Visits $178 $182 $229 * $149 $155 $219* Normal Overweight Obese Hospital Admissions $1,535 $1,544 $2,034 Absenteeism Days Presenteeism $872 $918 $1,180* $1,200 $1,402* $1,416 * $0 $500 $1,000 $1,500 $2,000 $2,500 Source: Goetzel RZ, Gibson TB, Short ME, Chu BC, Waddell J, Bowen J, Lemon SC, Fernandez ID, Ozminkowski RJ, Wilson MG, DeJoy DM. A multi-worksite analysis of the relationships among body mass index, medical utilization, and worker productivity. J Occup Environ Med Jan;52 Suppl 1:S

68 J&J Study Health Affairs, March

69 Health Risks Biometric Measures -- Adjusted Results adjusted for age, sex, region * p<0.05 ** p<

70 Health Risks Health Behaviors -- Adjusted Results adjusted for age, sex, region * p<0.05 ** p<

71 Health Risks Psychosocial -- Adjusted Results adjusted for age, sex, region * p<0.05 ** p<

72 Adjusted Medical and Drug Costs vs. Expected Costs from Comparison Group Average Savings = $565/employee/year Estimated ROI: $ $3.92 to $

73 But what about the Value-on-Investment (VOI)? 73

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76 Wall Street Studies 76

77 Ray Fabius 2013 study 77

78 American College of Occupational and Environmental Medicine (AECOM) Corporate Health Achievement Award (CHAA) Winners

79 ACOEM Winners vs. S&P

80 HERO Study: Connecting Corporate Health and Wellness Best Practices to Superior Market Performance 80

81 Grossmeier et al., HERO S&P Study 81

82 HERO Study Results 82

83 Koop S&P Study 83

84 Koop Award Winners and S&P 500 Index 84

85 Koop Winners: BP America BP 2014 Eastman Chemical EMN 2011 Prudential Financial PRU 2011 Pfizer, Inc. PFE 2010 The Volvo Group VOLVF 2010 Alliance Data Systems Corp ADS 2009 Dow Chemical Company DOW 2008 International Business Machines IBM 2008 Pepsi Bottling Group PBG 2007 WE Energies WEC 2007 Union Pacific Railroad UNP 2005 UAW-GM GM 2004 Johnson & Johnson Services, Inc JNJ 2003 FedEx Corp. FDX 2002 Motorola Solutions Inc. MSI 2002 Citibank C 2001 Union Pacific Railroad UNP 2001 Northeast Utilities NU 2001 Caterpillar Inc. CAT 2000 Cigna Corp. CI 2000 DaimlerChrysler Corporation DDAIF 2000 Fannie Mae FNMA 2000 Aetna AET 1999 Pfizer, Inc. PFE 1999 Glaxo Wellcome GSK 1999 UNUM/ Provident UNM

86 86

87 Getting the Word Out on Best and Promising Practices in Workplace Health Promotion 87

88 88

89 Case Studies Companies That Do It Right 89

90 Kent et al., JOEM Study 90

91 Harvard Business Review Translation 91

92 Employer Playbook 92

93 The Secret Sauce 93

94 1. Culture of Health More than just a wellness program It s a way of life Ingrained in every part of the organization Business Mission Built Environment Performance Metrics Programs, Policies, Health Benefits 94

95 2. Leadership Commitment CEO Driven Lead by Example Middle Management Support Budget/business plan Empowered workers/unions 95

96 3. Specific Goals and Expectations Think big, start small, act fast -- one step at a time Set short and long term objectives Be realistic about what can be achieved in 1, 3, 5, 10+ years Accountability leaders and employees are accountable for doing their part to support a culture of health 96

97 4. Strategic Communications Relentless Surround Sound Messages need to be: Consistent Constant Engaging Targeted Two-way dialogue using a variety of channels Wellness champions 97

98 5. Employee Engagement in Program Design/Implementation Wellness Committees Employee Feedback Surveys Participatory Based Program Design Focus Groups 98

99 6. Best Practice Interventions Convenience, removing barriers Many choices Making the healthy choice the easy choice Applying behavior change theory/practice 99

100 7. Effective Screening and Triage Health Risk Assessments with Follow-up -- PLUS Biometric Screenings (USPSTF Guidelines) On-site Clinics and Counselors 100

101 8. Smart Incentives Tailoring, and providing alternative paths to motivate, reward, and help employees achieve their goals Tiered Incentive Programs Non-Monetary Incentives Carrots, Not Sticks Voluntary reasonable dollar amounts Long-term view - retirement 101

102 9. Effective Implementation Tailored to the company s culture Integrated solutions Flexibility Fresh ideas Fun 102

103 10. Measurement and Evaluation STRUCTURE Workplace Health and Wellbeing PROCESS OUTCOMES Modified Worksite Health Promotion (Assessment of Health Risk with Follow-Up) Logic Model adopted by the CDC Community Guide Task Force 103

104 This Is Hard! 104

105 Policies Anyone? 105

106 Policy Specifics 106

107 Let s Just Do It! 107

108 Workplace Health and Wellbeing Works If You Do it Right! Financial Outcomes Health Outcomes QOL and Productivity Outcomes Cost savings, return on investment (ROI) and net present value (NPV). Where to find savings: Medical costs Absenteeism Short term disability (STD) Safety/Workers Comp Presenteeism Adherence to evidence based medicine. Behavior change, risk reduction, health improvement. Improved functioning and productivity Attraction/retention employer of choice Employee engagement Corporate social responsibility (CSR) Balanced scorecard 108

109 Another Benefit: Engaged Workers Who Love Their Job! 109

110 Where We Need to Go.. Old Paradigm Bad behavior (poor diet) leads to High risk condition (obesity) leads to Disease (diabetes) leads to Death New Paradigm Good health (physical, mental, emotional, social, financial, spiritual) leads to Well-being (energy) leads to Purposeful life AND HIGH VALUE

111 Learn More at.

112 Thank You! Ron Z. Goetzel, Ph.D. Senior Scientist at the Johns Hopkins Bloomberg School of Public Health Vice President at Truven Health Analytics, an IBM Company Learn about Promoting Healthy Workplaces project at: Follow us on Connect with us on LinkedIN