Integrated Health Coaching: The Next Generation in Health Behavior Change Management Dennis Richling, Chief Medical and Wellness Officer Kelly Merriman, Vice President, Service Delivery © HealthFitness 2012 What You Will Learn Today The three levels of health coaching within the integrated health coaching model and how individuals are assigned to each level; How health risk factors and a predictive modeling algorithm are used to determine a person's eligibility for coaching; How coaches can maximize the interactions between coaching clients and their primary care and specialist physicians; Tools used by the health coaches to achieve engagement, behavior change and condition management; and Key metrics used to evaluate the health coaching model, program effectiveness and results. © 2012 Health Fitness Corporation 2 Dennis Richling, MD Chief Medical Director and Wellness Officer © 2012 Health Fitness Corporation Kelly Merriman Vice President, Service Delivery 3 Meet at-risk Adam… • • • • • • 40 years old Married, 2 daughters Manager, works 50 hours/week BMI 28, blood glucose 99 Cholesterol 204, BP 122/88 No longer exercising—no time (kids in sports, plus job demands and normal aches and pains of middle age) Adam doesn’t know he’s at risk. Where does Adam belong? © 2012 Health Fitness Corporation 4 Risks Are Costly $$$$ Chronic Disease $$$ Risky Absent Healthy Behaviors Biometric Risks Reducing $$$$ = REDUCING risks Reducing risks = Changing Behaviors Changing Behaviors = -Adding Absent Behaviors -Reducing Bad Behaviors © 2012 Health Fitness Corporation $$ Absent Behaviors Risky Present UnHealthy Behaviors $$ Bad Behaviors 5 Health risk factors and predictive modeling algorithm used to determine a person's eligibility for coaching © 2012 Health Fitness Corporation 6 Health Coaching Traditional DM © 2012 Health Fitness Corporation Today 7 Right coach for the right person Health coaching Advanced practice coaching Nurse coaching © 2012 Health Fitness Corporation 8 Lifestyle Interventions Individuals matched to: New diagnosis/ uncontrolled chronic disease Controlled chronic disease, lifestyle risks Lifestyle risks © 2012 Health Fitness Corporation Nurse Coach Advanced Practice Coach Lifestyle Coach 9 Meet Sally… 52 years old Married, two teenage boys Works night shift Struggles with weight Hard to prioritize healthy eating & exercise • Diabetes (5 years) • Regular physician visits • Compliant with meds • • • • • Sally’s Goal: Lose 20 pounds Where does Sally belong? © 2012 Health Fitness Corporation 10 When Henry met Sally Sally’s Goal: Lose 20 pounds Secondary coaching goal: reduce medications as a result of the weight loss Where does Henry begin? © 2012 Health Fitness Corporation 11 Meet Bob… • 56 years old • Acute MI diagnosed in the ED • CAD diagnosis; cardiac cath and stent placement • No beta blocker prescribed • Completed cardiac rehab, afraid he might go off course • BMI 32, mild hypertension • No regular exercise • No dietary changes to date Bob’s Goal: Become healthier so he can go fishing with his grandson Where does Bob belong? © 2012 Health Fitness Corporation 12 When Nurse Nancy met Bob Bob’s Goal: Better heart health Secondary coaching goal: reduce risk of future MI and worsening CAD Where does Nancy begin? © 2012 Health Fitness Corporation 13 Remember at-risk Adam? • • • • • • 40 years old Married, 2 daughters Manager, works 50 hours/week BMI 28, blood glucose 99 Cholesterol 204, BP 122/88 No longer exercising—no time (kids in sports, plus job demands and normal aches and pains of middle age) Adam doesn’t know he’s at risk. Where does Adam belong? © 2012 Health Fitness Corporation 14 When Coach Karen met Adam Adam’s Goal: Stay healthy, boost energy Secondary coaching goal: reduce risk of future chronic disease Where does Karen begin? © 2012 Health Fitness Corporation 15 Tools To Achieve Engagement, Behavior Change and Condition Management © 2012 Health Fitness Corporation Motivational Interviewing Positive Psychology Appreciative Inquiry Stages of Change 16 Smarter Coaching Through Technology Coaching Goals Benefit Design Program Data Incentive History Biometric Results HRA Results Participant Priorities Integrated View of Participant Health Status and Goals © 2012 Health Fitness Corporation 17 Goal: Active, sustained engagement © 2012 Health Fitness Corporation 18 Integrated Coaching Reduces Risk by Changing Behaviors Individual •High-touch primary coach model Population •Opt-in enrollment 10% •Participant choice (on-site, telephonic, online) 17% •Goal progression framework (behavior and/or clinical) Reduction in # of Risks for Participants © 2012 Health Fitness Corporation •Ongoing participant assessment to ensure accurate coach assignment •Improve health and control costs Reduction in High-Risk Participants 19 Metrics to Evaluate the Health Coaching Model Participation Change in Risk Cost Reduction Measures of program effectiveness and results © 2012 Health Fitness Corporation 20 Multiple Risk Factor Summary–Risk Churn All Employees: T1/T2/T3/T4/T5/T6 (n=5,544) 2,716 Remained Low Low T1: 3,319 (59.9%) T6: 3,797 (68.5%) 98 High to Low 564 Low to Mod 39 Low to High High T1: 393 (7.1%) T6: 234 (4.2%) 79 Remained High © 2012 Health Fitness Corporation Low = 0-4 Risks Moderate = 5-6 Risks High = 7+ Risks 983 Mod to Low 116 Mod to High 216 High to Mod Moderate T1: 1,832 (33.0%) T6: 1,513 (27.3%) 733 Remained Mod 21 Primary Risk Factors All Employees – T1/T2/T3/T4/T5/T6 (n=5,544) Employees Risk Factor T1 T2 T3 T4 T5 T6 Blood Pressure 28.8% 27.9% 25.8% 24.0% 22.8% 20.8% BMI 78.2% 78.9% 79.1% 79.5% 79.4% 79.6% Cholesterol 81.5% 83.1% 81.0% 80.8% 81.1% 80.0% Depression 9.1% 8.0% 6.6% 6.3% 5.7% 5.7% 64.1% 59.8% 58.6% 58.1% 57.9% 58.2% 8.9%28.4% Reduction 10.2% 31.4% 30.4% 5.4% 29.7% 31.3% 30.8% 7.4% 8.0% 17.9% 16.9% 15.4% 14.2% 14.4% 14.1% 3.18 3.15 3.04 3.01 3.00 2.97 Fitness Glucose Stress Tobacco Use Average Number of Primary Risk Factors 8.8% 7.6%Reduction 7.9% 6.6% Reduction © 2012 Health Fitness Corporation 22 Biometrics All Employees – T1/T2/T3/T4/T5/T6 (n=5,544) % "At Risk" - Time 1 90% *T1/T6: p=0.0022 *T1/T6: p<0.0001 % "At Risk" - Time 2 80% % "At Risk" - Time 3 70% % "At Risk" - Time 4 % "At Risk" - Time 5 60% % "At Risk" - Time 6 30.8% 31.3% 29.7% 30.4% 31.4% T1/T6: p=0.1629 28.4% 80.0% 81.1% 80.8% 81.0% 83.1% 81.5% 79.6% 79.4% 79.5% 79.1% 20.8% 22.8% 24.0% 25.8% 10% 27.9% 20% 28.8% 30% *T1/T6: p<0.0001 78.9% 40% 78.2% 50% 0% Blood Pressure BMI Cholesterol Glucose T1/T6 changes tested using McNemar Test Significant changes are coded with an asterisk (*) © 2012 Health Fitness Corporation Company’s Custom 14 Risk Factors 23 Behaviors All Employees – T1/T2/T3/T4/T5/T6 (n=5,544) % "At Risk" - Time 1 80% % "At Risk" - Time 2 *T1/T6: p<0.0001 70% % "At Risk" - Time 3 *T1/T6: p<0.0001 % "At Risk" - Time 4 60% % "At Risk" - Time 5 % "At Risk" - Time 6 0% Alcohol Fitness Fruits & Vegetables 17.9% 16.9% 15.4% 14.2% 14.4% 14.1% 10% *T1/T6: p<0.0001 *T1/T6: p<0.0001 1.9% 1.8% 1.6% 1.8% 2.0% 1.9% 20% T1/T6: No Change 10.4% 9.5% 9.5% 9.3% 8.8% 8.5% 30% 64.1% 59.8% 58.6% 58.1% 57.9% 58.2% 40% 72.1% 68.0% 64.2% 62.0% 58.8% 57.6% 50% Seat Belt Tobacco T1/T6 changes tested using McNemar Test Significant changes are coded with an asterisk (*) © 2012 Health Fitness Corporation Company’s custom 14 Risk Factors 24 Successful Programs Offer On-Ramps and Off-Ramps © 2012 Health Fitness Corporation 25 Dennis Richling, MD Chief Medical Director and Wellness Officer Dennis.Richling@hfit.com Kelly Merriman Vice President, Service Delivery Kelly.Merriman@hfit.com