Analytics and Cohort Review October 14, 2015 University of Alaska / Lockton

2 Data Analytics Agenda  U of A 18-month cohort (01/14-6/15) assessment review – outcome-related trends within the U of A member population  Key Takeaways – drilldown on principal lifestyle and biometric health risk strengths and opportunities  Health Risk Migration Matrix – observe how cohort risks migrated from Time 1 to Time 2  Concluding Summary & Recap

University of Alaska Cohort Analysis  Cohort: Follows the same group of people over time. This study design is often viewed as the gold standard in measuring the success of program interventions because it evaluates risk factors in the same individuals over time between two time points, T1 and T2. T1: January 2014 T2: June U of A members completed two PHAs between T1 and T employees 486 spouses 1706 U of A members completed two biometric screenings between T1 and T employees 461 spouses 3

01/14-06/15 U of A Cohort 4

 Between 58-60% of U of A cohort members only took PHAs or biometric screenings  Around 35% of U of A cohort members utilized online resources  From 5-7% participated in lifestyle coaching 5 01/14-06/15 U of A Cohort

U of A Cohort Summary – Lifestyle Risks  Overall negative (good) trend with three lifestyle risks decreasing between T1 and T2 (sedentary, poor diet, and tobacco use)  Three of U of A’s lifestyle risks for Time 2 are below the Healthyroads’ BOB figures (except high stress)  Preliminary “water-falling effect” for lifestyle risk prevalence between T1 and T2 6

7 01/14-06/15 U of A Cohort

8 Key Takeaway 1 Key Takeaway 2 01/14-06/15 U of A Cohort

Key Takeaway 1: Sedentary (Lifestyle) 9

10  Strong ↑’s in both moderate & vigorous weekly physical activity  Still some room to further improve lowest moderate physical activity category

Key Takeaway 2: Stress (Lifestyle) 11

Key Takeaway 2: Stress (Lifestyle) 12  Greatest improvements in support & reward domains yet still more room for improvement  Slight improvements yet >>BOB in demands & relationships

U of A Cohort Summary – Biometric Risks 13  Mixed trend with two biometric risks decreasing (obesity and high fasting glucose)  cholesterol warrants further exploration  Three of four of U of A’s biometric risks are below the Healthyroads’ BOB figures (all but cholesterol but this biometric needs further exploration for full insights)  Opportunity exists on the multiple biometric risk front as the number of members with zero biometric risks has actually decreased from T1 to T2

14 01/14-06/15 U of A Cohort

15 01/14-06/15 U of A Cohort Key Takeaway 5 Key Takeaway 3 Key Takeaway 4

Key Takeaway 3: Obesity (Biometric) 16

Key Takeaway 3: Obesity (Biometric) 17  Slight ↓ (yet still >BOB) in normal BMI and overall (net) ↓ in multi- class obesity  To be on lookout though: upward movement in Class II and Class III obesity (demographic less ideal for wellness)

Key Takeaway 4: High Blood Pressure (Biometric) 18

Key Takeaway 4: High Blood Pressure (Biometric) 19  ↓ (yet still >BOB) in normal BP  ↑in both pre-hypertension and multi-stage hypertension levels

Key Takeaway 5: High Cholesterol (Biometric) 20

 While there has been an overall ↑ in total cholesterol, dig deeper for insights as to why… 21 Key Takeaway 5: High Cholesterol (Biometric)

 While there has been an overall ↑ in total cholesterol, dig deeper for insights as to why…  ↑ in HDL (good) cholesterol (A) 22 A: Key Takeaway 5: High Cholesterol (Biometric)

 While there has been an overall ↑ in total cholesterol, dig deeper for insights as to why…  ↑ in HDL (good) cholesterol (A) coupled with ↓ high (unhealthy) HDL- to-total cholesterol ratio (B) 23 A:B: Key Takeaway 5: High Cholesterol (Biometric)

 While there has been an overall ↑ in total cholesterol, dig deeper for insights as to why…  ↑ in HDL (good) cholesterol (A) coupled with ↓ high (unhealthy) HDL- to-total cholesterol ratio (B) as well as net ↓ in high/very high triglycerides (C) paint an overall good outlook for cholesterol for the U of A cohort 24 A:B:C: Key Takeaway 5: High Cholesterol (Biometric)

U of A Cohort Health Risk Migration 25

U of A Cohort Health Risk Migration 26 Net lifestyle change: 2.3% ↓

2012 published study, N=92,486 members; these financial estimates are not actual claims costs but based on modeling 27 Est. Economics of High Health Risk Change

Concluding Summary & Recap  U of A cohort demonstrates good initial health improvement for the 18-month time period between January 2014 and June 2015  U of A cohort illustrates reduction in 3 lifestyle risks (sedentary, poor diet, tobacco use) Key strength: Sedentary improvement Major opportunity: Stress  U of A cohort reveals reduction of 2 (to 3 including cholesterol nuances) biometric risks (obesity and high fasting glucose) Key strengths: Obesity improvement Major opportunity: High blood pressure  Looking forward to future analysis with the U of A cohort as it expands in size and time (i.e. matures) 28

Questions 29