Population Health Outcomes through better nutrition Niraj Jetly Thomas Ellis, MBA, CCP, PHR.

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Presentation transcript:

Population Health Outcomes through better nutrition Niraj Jetly Thomas Ellis, MBA, CCP, PHR

2 Background

ABOUT THE JACKSON LABORATORY 3 An independent nonprofit organization leveraging eight decades of expertise in genetics and genomics to increase understanding of human disease and discover precise genomic solutions.

POPULATION DISTRIBUTION 1800 Employees with average age 42 4

ABOUT THE JAXFIT 5 Launched in 2007 as comprehensive wellness program Employees can earn up-to $1300 as individual and $2600 as family Focused on driving reduction in health risk factors

MEDICAL COSTS 6

RISK FACTORS 7

8 Addressing Poor Nutrition

ABOUT HEALTHY FOOD PROGRAM 9 Addressing Confusion Tracking Purchases Behavior Change Scoring all food items on a scoring range 0 to 100. Ability to scan barcode of any food during shopping. Linked to local grocers. Automatic tracking of food purchases. Healthy food recommendations. Track score changes overtime.

LAUNCHING HEALTHY FOOD PROGRAM 10 Communication On-Site Sessions Enrollment sessions Incentives Raffles to Passport program Personalized s Home mailers On-Site Posters Table Tents Video Testimonials

11 Staff Readiness

POPULATION READINESS 12 HRA created self awareness. Prevalence of risk factors

POPULATION READINESS 13 Strong desire to change. Looking for support & tools.

14 Results

PARTICIPATION RATES 15

PARTICIPATION RATES 16

ENGAGEMENT RATES 17

18 Outcomes

TOP THREE COST DRIVERS 19 Hypertension Reduce daily intake of sodium Increase consumption of fruits and vegetables Increase consumption of whole grains ConditionRecommendations Heart Disease Reduce daily intake of sodium Control daily intake of cholesterol Increase consumption of fruits and vegetables Diabetes Increase daily intake of dietary fiber Increase consumption of fruits and vegetables Increase consumption of nuts, beans and seeds

PRODUCE CONSUMPTION PATTERNS pts

DAILY SODIUM INTAKE CHANGES 21

DAILY DIETARY FIBER INTAKE CHANGES 22 11%

DAILY CHOLESTROL INTAKE CHANGES 23 Lower than DRI

IMPACT ON POPULATION 24 85% Normal 13% Pre- Diabetic 2% Diabetic 2% Diabetic 78% Normal 78% Normal 20% Pre- Diabetic 20% Pre- Diabetic 2% Diabetic +7% -7% Glucose Risk Distribution

IMPACT ON POPULATION 25 80% Optimal 20% Non- Optimal 20% Non- Optimal 79% Optimal 79% Optimal 21% Non- Optimal 21% Non- Optimal +1% -1% Cholesterol Risk Distribution

OVERALL RISK CHANGE Based on analysis by % Low 1.6% High 1.6% High 82.2% Low 82.2% Low 2.6% High 2.6% High % Medium 15.2% Medium 11.5% Medium 11.5% Medium Low (0-2) Risks Medium (3-4) Risks High (5+) Risks Legend

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