Data vs Donuts: Inspiring Healthy Behavior Change

Eric Williams

import.io Data Summit

October 30, 2014

Omada Health is leading the field of “digital therapeutics” by

creating innovative, scalable, and cost-effective online

behavior change programs that address the growing epidemic

of chronic disease

Introducing Prevent, an online DPP program that helps people loseweight and change the factors that put them at risk for type 2 diabetes

Our data:Participant demographic information (age, sex, bmi, etc...)

Weigh-ins (automatically uploaded)

Activity data (steps/minutes, participant-reported)

Meal logging

Health coach and group message board communications

Intro/Exit health, wellness and personality questionnaire

Random list of increasingly hyperbolic questions in an attemptto get people excited about behavior change data

I Do Prevent participants actually lose weight?

I What is the strongest predictor of weight-loss?

I What is it like being old?

I What does your email domain say about your reading level?(presented without comment)

I When are the haters most likely to hate?

I “In sickness and in health”... is it all baloney?

I Is my wife delusional?

Random list of increasingly hyperbolic questions in an attemptto get people excited about behavior change data

I Do Prevent participants actually lose weight?

I What is the strongest predictor of weight-loss?

I What is it like being old?

I What does your email domain say about your reading level?(presented without comment)

I When are the haters most likely to hate?

I “In sickness and in health”... is it all baloney?

I Is my wife delusional?

Random list of increasingly hyperbolic questions in an attemptto get people excited about behavior change data

I Do Prevent participants actually lose weight?

I What is the strongest predictor of weight-loss?

I What is it like being old?

I What does your email domain say about your reading level?(presented without comment)

I When are the haters most likely to hate?

I “In sickness and in health”... is it all baloney?

I Is my wife delusional?

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0 30 60 90 0 30 60 90 0 30 60 90Prevent Program Day

% W

eigh

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0 30 60 90 0 30 60 90 0 30 60 90Prevent Program Day

% W

eigh

t Los

t

On average, Prevent participants lose∼ 5.5% of their initial weight (> 11 lbs)!

Random list of increasingly hyperbolic questions in an attemptto get people excited about behavior change data

I Do Prevent participants actually lose weight? YES

I What is the strongest predictor of weight-loss?

I What is it like being old?

I What does your email domain say about your reading level?(presented without comment)

I When are the haters most likely to hate?

I “In sickness and in health”... is it all baloney?

I Is my wife delusional?

Random list of increasingly hyperbolic questions in an attemptto get people excited about behavior change data

I Do Prevent participants actually lose weight? YES

I What is the strongest predictor of weight-loss?

I What is it like being old?

I What does your email domain say about your reading level?(presented without comment)

I When are the haters most likely to hate?

I “In sickness and in health”... is it all baloney?

I Is my wife delusional?

I Participant age is strongest predictor of weight-loss in Prevent

4

5

6

7

(19,41] (41,52] (52,59] (59,91]Participant Age [yr]

Wei

ght L

oss

(%)

I Participant age is strongest predictor of weight-loss in Prevent

Random list of increasingly hyperbolic questions in an attemptto get people excited about behavior change data

I Do Prevent participants actually lose weight? YES

I What is the strongest predictor of weight-loss? AGE

I What is it like being old?

I What does your email domain say about your reading level?(presented without comment)

I When are the haters most likely to hate?

I “In sickness and in health”... is it all baloney?

I Is my wife delusional?

Random list of increasingly hyperbolic questions in an attemptto get people excited about behavior change data

I Do Prevent participants actually lose weight? YES

I What is the strongest predictor of weight-loss? AGE

I What is it like being old?

I What does your email domain say about your reading level?(presented without comment)

I When are the haters most likely to hate?

I “In sickness and in health”... is it all baloney?

I Is my wife delusional?

I Participant morning weigh-in times, split by retirement status

Weekdays (Mon - Fri)

6 9 12 15Weigh−in Hour of Day

Not RetiredRetired

I Participant morning weigh-in times, split by retirement status

Weekends (Sat - Sun)

6 9 12 15Weigh−in Hour of Day

Not RetiredRetired

Random list of increasingly hyperbolic questions in an attemptto get people excited about behavior change data

I Do Prevent participants actually lose weight? YES

I What is the strongest predictor of weight-loss? AGE

I What is it like being old? AWESOME

I What does your email domain say about your reading level?(presented without comment)

I When are the haters most likely to hate?

I “In sickness and in health”... is it all baloney?

I Is my wife delusional?

Random list of increasingly hyperbolic questions in an attemptto get people excited about behavior change data

I Do Prevent participants actually lose weight? YES

I What is the strongest predictor of weight-loss? AGE

I What is it like being old? AWESOME

I What does your email domain say about your reading level?(presented without comment)

I When are the haters most likely to hate?

I “In sickness and in health”... is it all baloney?

I Is my wife delusional?

I Reading level calculated from comments, group posts and messagesusing the Flesch-Kincaid readability test

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4.8

5.2

5.6

6.0co

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hoo.c

omsb

cglob

al.ne

tgm

ail.co

m

att.n

et

cox.n

etho

tmail

.com

bells

outh

.net

aol.c

om

Rea

ding

Gra

de L

evel

Random list of increasingly hyperbolic questions in an attemptto get people excited about behavior change data

I Do Prevent participants actually lose weight? YES

I What is the strongest predictor of weight-loss? AGE

I What is it like being old? AWESOME

I What does your email domain say about your reading level?(presented without comment)

I When are the haters most likely to hate?

I “In sickness and in health”... is it all baloney?

I Is my wife delusional?

Random list of increasingly hyperbolic questions in an attemptto get people excited about behavior change data

I Do Prevent participants actually lose weight? YES

I What is the strongest predictor of weight-loss? AGE

I What is it like being old? AWESOME

I What does your email domain say about your reading level?(presented without comment)

I When are the haters most likely to hate?

I “In sickness and in health”... is it all baloney?

I Is my wife delusional?

I Sentiment Score reflects positivity/negativity of text• positive sentiment scores → more positive words than negative words → :)• negative sentiment scores → more negative words than positive words → :(

●

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●

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1.40

1.45

1.50

1.55

1.60

Sund

ay

Mon

day

Tues

day

Wed

day

Thur

sday

Frid

ay

Satu

rday

Avg

. Sen

timen

t Sco

re

I Sentiment Score reflects positivity/negativity of text• positive sentiment scores → more positive words than negative words → :)• negative sentiment scores → more negative words than positive words → :(

●●

●

●

1.40

1.45

1.50

1.55

1.60

[0,6] (6,10] (10,18] (18,23]Time of day [hr]

Avg

. Sen

timen

t Sco

re

Random list of increasingly hyperbolic questions in an attemptto get people excited about behavior change data

I Do Prevent participants actually lose weight? YES

I What is the strongest predictor of weight-loss? AGE

I What is it like being old? AWESOME

I What does your email domain say about your reading level?(presented without comment)

I When are the haters most likely to hate? 11pm on a Tuesday

I “In sickness and in health”... is it all baloney?

I Is my wife delusional?

Random list of increasingly hyperbolic questions in an attemptto get people excited about behavior change data

I Do Prevent participants actually lose weight? YES

I What is the strongest predictor of weight-loss? AGE

I What is it like being old? AWESOME

I What does your email domain say about your reading level?(presented without comment)

I When are the haters most likely to hate? 11pm on a Tuesday

I “In sickness and in health”... is it all baloney?

I Is my wife delusional?

I Segementing our data by marital status

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2

4

6

0 5 10 15Prevent program week

Wei

ght l

oss

(%)

is_married●

●

FALSETRUE

Random list of increasingly hyperbolic questions in an attemptto get people excited about behavior change data

I Do Prevent participants actually lose weight? YES

I What is the strongest predictor of weight-loss? AGE

I What is it like being old? AWESOME

I What does your email domain say about your reading level?(presented without comment)

I When are the haters most likely to hate? 11pm on a Tuesday

I “In sickness and in health”... is it all baloney? Not in Prevent!

I Is my wife delusional?

Random list of increasingly hyperbolic questions in an attemptto get people excited about behavior change data

I Do Prevent participants actually lose weight? YES

I What is the strongest predictor of weight-loss? AGE

I What is it like being old? AWESOME

I What does your email domain say about your reading level?(presented without comment)

I When are the haters most likely to hate? 11pm on a Tuesday

I “In sickness and in health”... is it all baloney? Not in Prevent!

I Is my wife delusional?

I My wife only weighs herself in the morning because she insists thatshe is lighter in the morning... (this is before any morning bathroomtrips)

I My wife only weighs herself in the morning because she insists thatshe is lighter in the morning... (this is before any morning bathroomtrips)

I My wife only weighs herself in the morning because she insists thatshe is lighter in the morning... (this is before any morning bathroomtrips)

tl;dr -

we lose ~1 lb

each night from

breathing out carbon

and water vapor

I Do we observe overnight weight loss?

Average : 1.3 +− 0.8Average : 1.3 +− 0.8Average : 1.3 +− 0.8Average : 1.3 +− 0.8Average : 1.3 +− 0.8Average : 1.3 +− 0.8Average : 1.3 +− 0.8Average : 1.3 +− 0.8Average : 1.3 +− 0.8Average : 1.3 +− 0.8Average : 1.3 +− 0.8Average : 1.3 +− 0.8Average : 1.3 +− 0.8Average : 1.3 +− 0.8Average : 1.3 +− 0.8Average : 1.3 +− 0.8Average : 1.3 +− 0.8Average : 1.3 +− 0.8Average : 1.3 +− 0.8Average : 1.3 +− 0.8Average : 1.3 +− 0.8Average : 1.3 +− 0.8Average : 1.3 +− 0.8Average : 1.3 +− 0.8Average : 1.3 +− 0.8Average : 1.3 +− 0.8Average : 1.3 +− 0.8Average : 1.3 +− 0.8Average : 1.3 +− 0.8Average : 1.3 +− 0.8Average : 1.3 +− 0.8Average : 1.3 +− 0.8Average : 1.3 +− 0.8Average : 1.3 +− 0.8Average : 1.3 +− 0.8Average : 1.3 +− 0.8Average : 1.3 +− 0.8Average : 1.3 +− 0.8Average : 1.3 +− 0.8Average : 1.3 +− 0.8Average : 1.3 +− 0.8Average : 1.3 +− 0.8Average : 1.3 +− 0.8Average : 1.3 +− 0.8Average : 1.3 +− 0.8Average : 1.3 +− 0.8Average : 1.3 +− 0.8Average : 1.3 +− 0.8Average : 1.3 +− 0.8Average : 1.3 +− 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−5.0 −2.5 0.0 2.5 5.0Overnight weight lost [lbs]

I Do we observe overnight weight loss?

●

●

●

●

●

0.8

1.0

1.2

1.4

5 6 7 8 9Hours of sleep

Wei

ght l

ost [

lbs]

Random list of increasingly hyperbolic questions in an attemptto get people excited about behavior change data

I Do Prevent participants actually lose weight? YES

I What is the strongest predictor of weight-loss? AGE

I What is it like being old? AWESOME

I What does your email domain say about your reading level?(presented without comment)

I When are the haters most likely to hate? 11pm on a Tuesday

I “In sickness and in health”... is it all baloney? Not in Prevent!

I Is my wife delusional? DEBATABLE

I However... these overnight weight-loss results have

motivated Omada Health’s new weight-loss product!

Introducing...

I However... these overnight weight-loss results have

motivated Omada Health’s new weight-loss product!

Introducing...

Dream the pounds away!

I However... these overnight weight-loss results have

motivated Omada Health’s new weight-loss product!

Introducing...

Dream the pounds away!(NOT a real Omada Health product)