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NIH Final Benchmark Survey Results
Monday, September 12, 2016
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SURVEY
Gen Pop Validation
9/12/2016 NIH Final Survey Results 2
0.00%
1.20%
0.00%
2.47%
2.77%
0.00%
9.15%
0.00%
1.57%
4.21%
0.00%
4.27%
6.26%
0.00%
0.00%
2.05%
11.62%
54.43%
Life, Physical, and Social Science
Occupations
Legal Occupations
Journalism or the Media
Personal Care and Service Occupations
Construction and Related Occupations
Medical, Biomedical, Pharmaceutical
Research Occupations
Office and Administrative Support
Occupations
Community and Social Service
Occupations
Arts, Design, Entertainment, Music, and
Theatre Occupations
Food Preparation and Serving Related
Occupations
Marketing or Market Research
Business and Financial Operations
Occupations
Sales and Related Occupations
Healthcare Practitioners and Technical
Occupations
Healthcare Support Occupations
Architecture and Engineering
Occupations
Self-Employed
Other (Please specify )
Q. Which of the following best
describes your current occupation?
The goal of this question was to remove specific
professions from the survey population to
eliminate potential bias in survey responses – and
to better represent the overall national general
populous.
Other professions identified are provided as red
herring choices to have respondents self identify
themselves by profession.
They provide little analytical value in the overall
survey tabulations and analysis.
A total of 513 survey respondents were
terminated from the survey based on occupation
and are not tabulated into NIH Final survey
tabulation results.
√ Statistically Validated Sample
9/12/2016 NIH Final Survey Results 3
Screening Question
Q. Have you ever heard of any of the
following programs prior to taking
this survey?
The goal of this question was to screen out
persons from taking the survey who had advance
awareness and/or knowledge of The Precision
Medicine Initiative to eliminate potential bias in
survey responses – and to better represent the
overall general populous.
Other research studies identified were offered as
Red Herrings and provide little analytical value.
A total of 354 survey respondents were
terminated from the survey based on their
advance awareness of The Precision Medicine
Initiative and are not tabulated into NIH Final
survey results.
√ Statistically Validated Sample
Screening Question
95.60%
100.00%
66.28%
85.26%
95.70%
4.40%
0.00%
33.72%
14.74%
4.30%
Cancer Moonshot 2020
The Precision Medicine
Initiative
Human Genome Project
National Children’s Study
Framingham Heart Study
No
Yes
9/12/2016 NIH Final Survey Results 4
Demographic (Age & Gender)
Tabulations to confirm a valid national general population representation in survey results.
16%
18%
16%
24%
26%
18-24
25-34
35-44
45-54
55-65
Male
34%
Female
66%
Age Bracket
Total Counts
100.00% (2002)
Male
100.00% (685)
Female
100.00% (1317)
18-24 15.98% 320 11.82% 81 18.15% 239
25-34 18.28% 366 21.17% 145 16.78% 221
35-44 15.88% 318 19.12% 131 14.20% 187
45-54 23.53% 471 19.42% 133 25.66% 338
55-65 26.32% 527 28.47% 195 25.21% 332
United States Age Distribution
Children 0-18 Adults 19-25 Adults 26-34 Adults 35-44 Adults 45-54 Adults 55-64 65+
25.00% 10.00% 12.00% 13.00% 14.00% 13.00% 15.00%
Population Analysis: Census Bureau March 2015.
United States Gender Ratio
~50/50 Gender Split
9/12/2016 NIH Final Survey Results 5
√ Statistically Validated Sample
9/12/2016 NIH Final Survey Results 6
1.70%
4.70%
20.48%
10.84%
1.95%
55.29%
3.30%
1.05%
South-Central Asian (Indian, Pakistani, etc)
Far-East Asian (Chinese, Japanese, etc)
Black/African-American
Hispanic
Native American/Aleutian Eskimo
White/Caucasian
Other
Prefer not to say
Although not ‘spot on’, percentages are close enough to validate the data results in our tabulations and analysis.
United States Race and Hispanic Origin Population Distribution
White /
Caucasian
(+Hispanic Origin)
Black / African-
American
Native American -
Eskimo
Asian
Native Hawaiian –
Pacific Islander
Two or More
Races
Hispanic or Latino
(All Races)
White Alone
(Non Hispanic
or Latino)
72.4% 13.3% 1.2% 5.6% 0.2% 2.6% 17.6% 61.6%
Source: US Census Bureau, 2015 estimates.
Demographic (Race & Ethnicity)
Tabulations to confirm a valid national general population representation in survey results.
√ Statistically Validated Sample
31%
13%
9%
8%
10%
13%
11%
3%
1%
2%
Under $30,000
$30,000 to $40,000
$40,000 to $50,000
$50,000 to $60,000
$60,000 to $75,000
$75,000 to $100,000
$100,000 to $150,000
$150,000 to $200,000
$200,000 to $250,000
$250,000 or over
United States Household Income Distribution
Under
$15,000
$15,000 to
$24,999
$25,000 to
$34,999
$35,000 to
$49,999
$50,000 to
$74,999
$75,000 to
$99,999
$100,000 to
$149,999
$150,000 to
$199,999
$200,000
and over
12.6% 11% 10.1% 13.1% 17% 11.5% 13.4% 5.7% 5.6%
Source: US Census Bureau, 2006; income statistics for the year 2014
9/12/2016 NIH Final Survey Results 7
51%
16%
9%
6%
6%
7%
4%
1%
1%
20%
16%
7%
7%
10%
22%
13%
2%
1%
4%
20%
11%
10%
9%
13%
14%
16%
4%
1%
2%
30%
12%
7%
7%
13%
11%
14%
3%
1%
1%
34%
11%
9%
11%
10%
10%
9%
3%
1%
1%
Under $30,000
$30,000 to $40,000
$40,000 to $50,000
$50,000 to $60,000
$60,000 to $75,000
$75,000 to $100,000
$100,000 to $150,000
$150,000 to $200,000
$200,000 to $250,000
$250,000 or over
18-24 25-34 35-44 45-54 55-65
Demographic (Income)
Tabulations to confirm a valid national general population representation in survey results.
√ Statistically Validated Sample
9/12/2016 NIH Final Survey Results 8
√ Statistically Validated Sample
Demographic (States)
Tabulations to confirm a valid national general population representation in survey results.
1.60%
0.05%
2.60%
1.05%
12.74%
1.45%
1.25%
0.50%
0.30%
7.79%
3.80%
0.50%
0.40%
5.29%
1.45%
0.85%
0.65%
1.80%
0.65%
0.15%
1.85%
1.05%
2.70%
1.70%
0.65%
1.30%
0.30%
0.80%
1.30%
0.10%
2.65%
0.85%
7.89%
4.10%
0.05%
3.65%
0.95%
1.15%
3.55%
0.30%
2.05%
0.20%
2.15%
6.04%
0.40%
0.20%
2.85%
2.00%
0.55%
1.70%
0.15%
Alabama
Alaska
Arizona
Arkansas
California
Colorado
Connecticut
Delaware
District of Columbia
Florida
Georgia
Hawaii
Idaho
Illinois
Indiana
Iowa
Kansas
Kentucky
Louisiana
Maine
Maryland
Massachusetts
Michigan
Minnesota
Mississippi
Missouri
Montana
Nebraska
Nevada
New Hampshire
New Jersey
New Mexico
New York
North Carolina
North Dakota
Ohio
Oklahoma
Oregon
Pennsylvania
Rhode Island
South Carolina
South Dakota
Tennessee
Texas
Utah
Vermont
Virginia
Washington
West Virginia
Wisconsin
Wyoming
Survey Respondents
0.18%
1.80%
0.57%
2.23%
2.61%
0.19%
0.93%
8.55%
2.05%
0.27%
1.52%
0.33%
3.98%
1.25%
1.22%
3.61%
0.24%
3.12%
6.16%
0.65%
2.79%
0.41%
0.90%
0.59%
0.32%
1.89%
0.93%
1.71%
3.09%
2.11%
1.87%
0.41%
1.45%
1.38%
0.91%
0.97%
2.06%
4.00%
0.51%
0.45%
3.18%
6.31%
0.21%
0.29%
1.12%
1.70%
12.18%
0.93%
2.12%
0.23%
1.51%
.Wyoming
.Wisconsin
.West Virginia
.Washington
.Virginia
.Vermont
.Utah
.Texas
.Tennessee
.South Dakota
.South Carolina
.Rhode Island
.Pennsylvania
.Oregon
.Oklahoma
.Ohio
.North Dakota
.North Carolina
.New York
.New Mexico
.New Jersey
.New Hampshire
.Nevada
.Nebraska
.Montana
.Missouri
.Mississippi
.Minnesota
.Michigan
.Massachusetts
.Maryland
.Maine
.Louisiana
.Kentucky
.Kansas
.Iowa
.Indiana
.Illinois
.Idaho
.Hawaii
.Georgia
.Florida
.District of Columbia
.Delaware
.Connecticut
.Colorado
.California
.Arkansas
.Arizona
.Alaska
.Alabama
US Census: 2015 est.
SURVEY
Tabulations & Analysis
9/12/2016 NIH Final Survey Results 9
QA1. Please indicate how much you
agree or disagree with each of the
statements.
Survey respondents generally in high numbers
represent they are good initiative candidates:
• Health conscious
• Trust their doctors
• Believe pharmaceutical companies are good
corporate citizens with admirable intentions
• Sensitive to helping others in times of need
• Open to giving back and volunteering
Of note, government trust is less pervasive among
the survey population indicating communications will
need to build higher levels of personal trust through
positioning, messaging and peer testimonials.
9/12/2016 NIH Final Survey Results 10
32%
58%
19%
11%
48%
28%
51%
30%
30%
22%
38%
33%
I trust doctors
It’s important to me
I think pharmaceutical
I trust the government
I’m willing to help people
Giving back/volunteering
Agree Strongly Agree Somewhat
Baseline Analysis
Guiding Personal Values & Beliefs 32%
58%
19%
11%
48%
28%
51%
30%
30%
22%
38%
33%
10%
9%
23%
26%
11%
25%
17%
24%
8%
11%
17%
5%
0% 20% 40% 60% 80% 100%
I trust doctors to make the right
decisions for my health.
It’s important to me to be
proactive about my health (i.e.
regular check-ups, exercise,
healthy eating).
I think pharmaceutical companies
conduct research to find new
drugs and treatments that will
help people, not just to make
money.
I trust the government to do
what’s right for its citizens.
I’m willing to help people in need
and expect nothing in return.
Giving back and/or volunteering is
an important part of my life right
now.
Agree Strongly Agree Somewhat Neither Agree Nor Disagree
Disagree Somewhat Disagree Strongly
QA2. How often would you say that
you…?
Survey respondents represent in reasonably high
numbers they are active in their personal
healthcare.
Of note, minor statistical deviations do exist within
target populations of age and race for where and
how often respondents seek healthcare.
Attributes used to isolate frequency and location
nuances for personal healthcare reinforces the
need to plan for these considerations within all
communications and enrollment activation
directions.
9/12/2016 NIH Final Survey Results 11
Baseline Analysis
Frequency of Healthcare Habits
4%
60%
60%
67%
11%
11%
10%
9%
16%
18%
19%
9%
9%
6%
49%
28%
7%
7%
4%
9%
22%
6%
7%
6%
10%
5%
6%
7%
0% 20% 40% 60% 80% 100%
Go to the doctor
Go to a community health
clinic/free clinic
Go to a clinic within a pharmacy
(CVS MinuteClinic, etc.)
Go to the Emergency Room
because I don't have a doctor
Get a routine physical
Never Once every few years Once per year
2-3 times per year 4-6 times per year Once per month
Twice per month or more
QA3. Have you ever participated in
a medical research study?
Survey respondents represent in high numbers
they are either willing to participate – or open to
participate in a medical research study.
Statistically valid sample sizes reveal interest
across all age brackets and race / ethnicities.
9/12/2016 NIH Final Survey Results 12
Yes
No, but I am
open to
participating in a
medical research
study
No, and I would
never participate
in a medical
research study
Total 7% 76% 17%
7%
76%
17%
0%
10%
20%
30%
40%
50%
60%
70%
80%
Optional Choice 18-24 25-34 35-44 45-54 55-65
Yes 6% 4% 6% 8% 9%
No, but I am open 80% 79% 77% 78% 71%
No, and I would never 14% 17% 17% 14% 20%
Baseline Analysis
Research Study Participation Openness
Everyone is different, with unique genes, lifestyles, and environments. Because of these differences, a medical treatment
that works for one person might not work for another, even if both people have the same disease. Doctors often must use
trial and error to figure out what treatment will work. The National Institutes of Health (NIH), in collaboration with
universities and technology companies, wants to create a new model of medicine that is tailored to each person, so that, in
the future, people can receive the exact right diagnoses, treatments, and preventions they need.
To understand how genetic and lifestyle differences can affect health and disease, researchers need a lot of health data
from many people. The NIH is asking one million Americans to donate their health data: their electronic health records, DNA
through a blood sample, lifestyle data (i.e. data from Fitbit, Nike+, etc.), and possibly environmental data (i.e. air and water
quality). This data will go into a huge database for researchers to study health and disease, with the goal of finding and
targeting medical treatments faster and more effectively.
The NIH wants people to be partners in this process, not research subjects. Before donating health data, people will give
informed consent. Identifying details like names, addresses, and social security numbers will be removed from the health
data. Age, race/ethnicity, and gender will not be removed as they are relevant to medical research. People will have some
control over how their health data is shared and used in the research, and may withdraw from participating at any time.
The research will take place over ten or more years. It may take many years for breakthroughs about health and disease to
happen. People who donate health data may not be helped by these breakthroughs during their lifetime. But they may get
back information about their health, and information about the research findings more generally.
9/12/2016 NIH Final Survey Results 13
Presented Baseline Project Description
59%
36%
5%
Positive
Neutral
Negative
QB1. What do you think about the
description you’ve just read?
Favorable sentiments across respondent
feedback is extremely high for the presented
project description. This indicates there is general
and open willingness in scale to help societal
causes and others.
Of those who are “neutral” in their position, it is
largely due to apprehension for sharing personal
(healthcare) information with others outside of
their healthcare networks and physicians.
The small population that is strongly opposed to
the project are those who may believe in strong
personal values for privacy. It is likely these
individuals will be hard to convert to a different
opinion.
9/12/2016 NIH Final Survey Results 14
Neutral Sentiments (Common Theme)
“Although I know that something like this needs to happen, it’s also
scary having your personal information out there for random people
you don’t know to see. And not know if it is being used exactly what
is said that it’s being used for. Very skeptical.”
Negative Sentiments (Common Theme)
“I understand the concept, but I don’t like the idea of personal data
being shared.”
Positive Sentiments (Common Theme)
“I feel that it is a great idea. I have health issues and I don’t want
people to have to suffer like I have. So I would do anything to help
research and create treatments and options for my diseases.”
Baseline Analysis
Program Description
QB2. What is the best word to
describe what you just read about?
The underlying objective of this question was to
determine a preferred best word (or word
combination) choice, which could be applied to
describe the “project”. The goal was to identify
descriptive language that is quick and easy to
understand with instant project association
recognition.
o Network
o A Study
o Research Program
o An Initiative
o A Program
o A Movement
o Other (Please Specify)
o None of the above
9/12/2016 NIH Final Survey Results 15
Optional Choice 18-24 25-34 35-44 45-54 55-65
An Initiative 15% 15% 13% 11% 11%
A Study 27% 22% 27% 25% 23%
A Program 5% 8% 6% 5% 4%
A Movement 12% 7% 8% 6% 3%
Research Program 37% 42% 42% 47% 53%
Network 1% 2% 2% 1% 1%
None of the above 3% 4% 2% 2% 2%
Across all age brackets… “Research Program” clearly is
the preferred choice to describe the project.
Baseline Analysis
Project Nomenclature
45.30%
24.48%
12.79%
6.64%
5.19%
2.80%
1.50%
1.30%
Research Program
A Study
An Initiative
A Movement
A Program
None of the above
Other (Please specify)
Network
Statistical Probability - 98% Level of Confidence - Top Choice + 2.5% margin of error
QB3. If the project you just read
about existed today, how likely
would you be to participate in it?
Favorable opinions among the audience viewing
the NIH “project” for the first time is promising.
More than 53% of respondents have stated they
would either DEFINITELY or PROBABLY participate.
Add in the “might” category and 84% of all survey
respondents become self identified as pre-
qualified participation candidate targets.
9/12/2016 NIH Final Survey Results 16
Optional Choice 18-24 25-34 35-44 45-54 55-65
Definitely 21% 34% 28% 22% 18%
Probably 31% 31% 31% 28% 28%
Might - might not 34% 26% 25% 37% 30%
Probably not 9% 5% 10% 6% 13%
Definitely not 5% 3% 6% 7% 11%
Baseline Analysis
Project Participation Interest 23.58%
29.82%
30.72%
8.94%
6.94%
Definitely would participate in
this project
Probably would participate in this
project
Might or might not participate in
this project
Probably would not participate in
this project
Definitely would not participate
in this project
Across all age brackets… likely candidates for
participating in the project look extremely positive.
Statistical Probability - 98% Level of Confidence - Top Choice + 2.2% margin of error
QB4. How interested are you in
getting more information about the
project?
Respondents generally want more information.
More than 50% of the survey population is either
EXTREMELY or VERY interested in receiving more
information.
Dissemination of information will be important via
all channels and outlets to activate a large
national population.
9/12/2016 NIH Final Survey Results 17
Baseline Analysis
Information Needs & Interests 22.73%
27.62%
31.97%
11.79%
5.89%
Extremely interested in getting
more information about this
project
Very interested in getting more
information about this project
Somewhat interested in getting
more information about this
project
Not very interested in getting
more information about this
project
Not at all interested in getting
more information about this
project
Statistical Probability - 98% Level of Confidence – “Extremely Interested” + 2.2% margin of error
BRANDING
Naming Convention
QB5. Please indicate which of the
following names does the best job
of describing this project?
“The Future Health Research Program” and “The
Future of Medicine Study” are the most preferable
project names.
This coincides with the top two choices for project
nomenclature, “research program” and “study”.
Of note, “The All of Us Research Program” name
which includes one of the most preferred project
nomenclature names still ranks in the lower half of
all preferred choices.
Therefore, nomenclature preferences linked to
preferred naming conventions may or may not
directly have influence on preferred choices.
9/12/2016 NIH Final Survey Results 18
18.63%
13.99%
12.54%
11.19%
10.54%
9.94%
6.94%
5.84%
5.54%
4.85%
The Future Health Research
Program
The Future of Medicine Study
The All of Us Initiative For Better
Health
The Better Health Movement
All of Us: The Precision Medicine
Initiative
The Precision Medicine Initiative
The All of Us Research Program
The Precision Health Network
All of Us
The Precision Medicine Program
Statistical Probability - 98% Level of Confidence - Top Choice + 2.0% margin of error
BRANDING
NamingConvention–CrossTabulation
QB5. Please indicate which of the
following names does the best job
of describing this project?
Upon closer review, Project Nomenclature
preferences do not directly impact Naming
Convention preferences with any statistical
probability.
9/12/2016 NIH Final Survey Results 19
Nomenclature Preference (2002) Total - 100.00%
An Initiative 12.79% 256
A Study 24.48% 490
A Program 5.19% 104
A Movement 6.64% 133
Research Program 45.30% 907
Network 1.30% 26
None of the above 2.80% 56
Other (Please specify) 1.50% 30
Naming Convention Preference (2002) Total - 100.00%
The Future Health Research Program 18.63% 373
The Future of Medicine Study 13.99% 280
The All of Us Initiative For Better Health 12.54% 251
The Better Health Movement 11.19% 224
All of Us: The Precision Medicine Initiative 10.54% 211
The Precision Medicine Initiative 9.94% 199
The All of Us Research Program 6.94% 139
The Precision Health Network 5.84% 117
All of Us 5.54% 111
The Precision Medicine Program 4.85% 97
256
661
907
512
490
280
Nomenclature Naming Convention
Cross Tabulation Nomenclature
Preference Influence Analysis
Inititaive
Research
Program
Study
QB6. Why do you say that?
The Future Health Research Program
(Positive Feedback)
Respondents provided a myriad of reasons why they
chose “The Future Health Research Program” as the
most preferable project name.
At the core of these respondent opinions, name
choice preferences have a common general theme:
Helping people with future health through research.
9/12/2016 NIH Final Survey Results 20
The Future Health Research Program
Positive Respondent Sampled Feedback
(373 cross tabulated responses)
o The name fits best. It’s about the health of our future.
o You are trying to help people and their health and in the
future.
o With today’s research, we can help tomorrow’s health of
people.
o Trying to improve people’s health for the future.
o To me, that is what was described, easy to understand.
o This is a research program now that could have future
health benefits for everyone.
o This explains the research is health related and will be for
future discoveries.
o To me that is what it is from the understanding I get from
what I read. it is gathering information to help deal with
people in years to come.
o This title is all inclusive and this will let people know it is a
research program.
o The name is very descriptive and tells me it is a research
program and has to do with future health.
BRANDING
NamingConvention–PromptedFeedback
QB5. Please indicate which of the
following names does the poorest
job of describing this project?
“All of Us” as a stand-alone concept ranks the
lowest as a preferable choice by a wide margin for
describing the project.
With a separation of only 63 responses between
the number two ranked choice and the tenth
ranked choice, standard deviations in tabulations
below “All of Us’ can be seen as statistically slight
and are determined insignificant.
However, the consideration remains whether “All
of Us” can work as a campaign name and/or if “All
of Us” could work as a project name if attached to
other words or project nomenclature.
9/12/2016 NIH Final Survey Results 21
BRANDING
Naming Convention
41.61%
8.24%
7.64%
7.19%
6.69%
6.39%
5.74%
5.74%
5.64%
5.09%
All of Us
The Precision Health Network
The Future of Medicine Study
The All of Us Research Program
The Better Health Movement
The Precision Medicine Program
The Precision Medicine Initiative
The Future Health Research
Program
The All of Us Initiative For Better
Health
All of Us: The Precision Medicine
Initiative
Statistical Probability - 98% Level of Confidence - Top Choice + 2.6% margin of error
QB6. Why do you say that?
All of Us
(Negative Feedback)
Respondents provided a general common theme
for why they felt “All of Us” did not capture the
project well as a naming convention.
At the core of these opinions, the name suggests
in respondent views:
That it is too vague and doesn’t provide sufficient
information to understand what the project is
about.
9/12/2016 NIH Final Survey Results 22
All of Us
Negative Respondent Sampled Feedback
(833 groomed responses)
o All of Us does not, for me, describe that it is medically-
related in any sense.
o All of Us gives no information at all about what the study is
about...
o All of Us is a general statement, can mean anything.
o All of Us is a poor title choice for this program because it’s
very broad and can mean anything.
o All of Us is very general and makes no reference to
medicine, research, etc.
o All of Us only really makes sense in that the project is
attempting to find a way that benefits us all equally. Other
than that, the name isn’t really that appropriate. “All of
Us” [by itself] just somehow seems misleading to me.
o All of Us, I feel is an EXTREMELY poor representation of the
initiative. First, if someone were to read All of Us; they
would have no idea what it was.
BRANDING
NamingConvention–PromptedFeedback
QB6. If you prefer a different name,
please tell us that name.
Many variations were submitted which largely
played off conceptual directions presented as
naming convention choices. Words most
frequently used are represented in the Word Cloud
below.
Health, Future, Better, Initiative are leading word
choices to help describe the “project” with
associated personal value and/or meaning.
9/12/2016 NIH Final Survey Results 23
• The All of Us Initiative For Better
Health Outcomes
• A Healthier Future Initiative
• Advances in Medicine for Humanity
• All of Us = Hope
• All of us better health
• All of us Initiative for Better Health
• All of us together healthcare
program
• All of Us: An Initiative to Improve our
Future Health
• Better health for all of us plan
• Better Health for All
• Better health for our future
• Better health in time
• Better healthcare for you and me
• Collective Health Initiative for
Personalized Healthcare
• Empowering the Health of a
Generation
• Future Health Initiative
• Future Health Research and Study
• Future Health Research Initiative
• Future of Medicine Research
Program
• Genetic health initiative
• Greater Health
• Greater health Initiative for our
future
• Health for future generations
• Health Research for the Future
• Health the next generation
• Human Health Care Project
• Medical Mapping for Better
Healthcare
• Medicine for all humans
• Medicine for the future
• Personalized Medicine: The Future of
Healing
• Personalized medicine study
• Precise health care
• Precision Health Studies
• Precision Health: A future for all of
us.
• Progressive Health Network
• Progressive Medical Initiative
• Research for Better Health for All of
Us
• Research for human health and
development
• Saving human health
• The Better Health Initiative
• The Future of Better Health
• The Future of Health
• The Future of Health Initiative
• The Future of Medical Science
• The Future of Medicine Is Here
• The Future of our Health
• The Human Precision Health Network
• Precision Health for All.
• The Study of Future Health Initiative
• The Better Health Initiative
BRANDING
NamingConvention–PromptedFeedback
QB7. Please indicate which one would
most compel you to participate?
A second validation question (worded slightly
different) was used to test and verify earlier results
for naming convention preferences.
“The Future Health Research Program” is further
validated (among the choices presented) as the name
that would most compel people to participate in the
project.
This naming convention also includes the most
preferred choice in nomenclature when asked to
describe the project, “Research Program”.
“The All of Us Initiative For Better Health” performs
marginally well in the second grouping, as it did in
QB5: “What is the best name for the program?”
Of note: The “All of Us” variation also includes a word
combination using three highly used words preferred
in respondent feedback.
Of special note: “None of the Above” appearing near
the top of the rankings is troublesome as there is no
clear, runaway choice. This reinforces the notion that
more research may be required.
9/12/2016 NIH Final Survey Results 24
BRANDING
Naming Convention
16.23%
12.74%
12.64%
12.54%
11.74%
9.59%
8.09%
5.09%
4.05%
3.75%
3.55%
The Future Health Research
Program
The Better Health Movement
None of the above
The All of Us Initiative For Better
Health
The Future of Medicine Study
All of Us: The Precision Medicine
Initiative
The Precision Medicine Initiative
The All of Us Research Program
The Precision Health Network
All of Us
The Precision Medicine Program
Statistical Probability - 98% Level of Confidence - Top Choice + 1.9% margin of error
BRANDING
Project Benefit Perceptions
QB8. Based on the project
description, which of the following
best describes what this project
hopes to achieve?
From the survey respondents, most all of the
sample population understood “advancing
healthcare” is the underlying intent and benefit
behind the project.
The use of the “Better Health” word combination
ranks first in a series of five offered choices and is
statistically relevant for communications.
Other than minor slight nuances, no significant
deviations among age and race / ethnicity
classifications are present.
9/12/2016 NIH Final Survey Results 25
32.77%
20.88%
22.83%
18.53%
5.00%
Better Health
Future Health
Better Medicine
Future Medicine
None of the above
Statistical Probability - 98% Level of Confidence - Top Choice + 0.77% margin of error
BRANDING
Naming Convention
QB10. In the context of a sentence,
which project names sounds best?
This is the third in a series of naming convention
validation questions (using slightly different
wording).
“The Future Health Research Program” marginally
outperforms all other choices. This is the third
time that this choice has come out in the top
ranking position.
“All of Us” as a standalone naming convention
does poorly as we saw in QB 5: when asked which
name is the poorest for the describing program.
“The All of Us Initiative For Better Health” is the
best performing choice among the four “All of Us”
variations and is consistently in the top 50%
percentile.
9/12/2016 NIH Final Survey Results 26
15.58%
13.74%
12.64%
12.29%
12.29%
9.34%
6.59%
5.29%
4.60%
4.40%
3.25%
Have you heard about The
Future Health Research
Program?
Have you heard about The Better
Health Movement?
Have you heard about The
Future of Medicine Study?
Have you heard about The All of
Us Initiative For Better Health?
None of the above.
Have you heard about The
Precision Medicine Initiative?
Have you heard about All of Us:
The Precision Medicine
Initiative?
Have you heard about The
Precision Health Network?
Have you heard about The
Precision Medicine Program?
Have you heard about The All of
Us Research Program?
Have you heard about All of Us?
Statistical Probability - 98% Level of Confidence - Top Choice + 1.8% margin of error
BRANDING
Tagline Directions
QB11. When added to your
preferred project name choice,
which phrase would most compel
you to participate?
This question took a respondent’s preferred
project name from QB5: (Which is the best name
to describe the program), and added a second line
of copy to the name.
Of note: The inclusion of the word “Health” as part
of any tagline statistically performs better over the
word “medicine”. “Better” and “Future” are also
high performing words.
Regardless of chosen project name, the word
combinations “For Better Health” or “Future of
Health” added to the project name garnered the
most appeal of all presented options.
These phrases were also chosen in QB8 as the
phrase that best describes what the program is
hoping to achieve.
9/12/2016 NIH Final Survey Results 27
57%
56%
51%
50%
49%
47%
45.05%
44.86%
41.06%
36.66%
28.17%
19.98%
: For Better Health
: The Future of Health
Begins With You
: Together For Better Health
: Future of Health
: For Better Medicine
: Future of Medicine
: Together for Better
Medicine
: Together for the Future of
Medicine
: In It Together For Better
Health
: All of Us Together for Better
Health
: All of Us Together
: All of Us
Yes
Statistical Probability - 98% Level of Confidence - Top Choice + 0.81% margin of error
BRANDING
Logo Validation
QB12. If the project we discussed
today had this image as the logo,
which of the following would you
think is the name of the project?
The majority of survey respondents think the Logo
Lockup in it’s entirety, “All of Us: The Precision
Medicine Initiative”, is the project name: rather
than two individual thoughts i.e. campaign name
and project name.
Of note: This name was the 6th most popular
choice of respondents as a name that would
compel them to participate as seen in QB 7.
The stronger font and larger logo type font of “All
of Us” in the logo treatment enabled it to rank
second when specifically asked, “What is the
project name?”
Of special note: The objective was not to validate
“All of Us” as a project name, but to understand
the viewer’s perception of the project name based
on logo design.
If this logo lockup was meant to represent the
name of the project as The Precision Medicine
Initiative, less than 9% of people understood.
9/12/2016 NIH Final Survey Results 28
35.76%
29.62%
10.89%
8.89%
5.99%
4.65%
3.75%
0.45%
All of Us: The Precision Medicine
Initiative
All of Us
The All of Us Precision Medicine
Initiative
The Precision Medicine Initiative
I Don't Know
The Precision Medicine Initiative
All of Us
None of the above
Other (Please specify)
Statistical Probability - 98% Level of Confidence - Top Choice + 2.5% margin of error
BRANDING
Call To Action Motivation Behaviors
21.03%
16.23%
21.88%
27.07%
26.27%
33.47%
25.12%
32.62%
34.27%
38.51%
30.62%
34.72%
30.97%
25.57%
23.53%
8.39%
14.24%
8.09%
7.14%
5.54%
6.49%
9.69%
6.44%
5.94%
6.14%
"Join ."
"Sign up for ."
"Participate in ."
"Become a Partner in ."
"Become Part of ."
Very excited about the project
Somewhat excited about the project
Neither excited nor unexcited about the project
Not very excited about the project
Not at all excited about the project
9/12/2016 NIH Final Survey Results 29
QB9. How excited or unexcited would
you be about the project if you saw
the following statements?
What becomes evident is statements using
“partner” or “become part” or likely other similar
terminology to represent group involvement will
resonate with the general populous at higher levels
across all age classifications.
SURVEY
Baseline Execution Statistics
9/12/2016 NIH Final Survey Results 30
Fieldwork Report
9/12/2016 NIH Final Survey Results 31
RESPONDENTS STATUS SUMMARY
Started 5899
Incompletes 2582
Completes 2002
Quota Full 2000
Terminates 1299
TERMINATES
Terminate 22 - cqS6 354
IP address mismatch Terminate 56
Terminate 9 - Income -cqS2 250
Terminate 8 - Age - cqS1 31
Terminate - ID or Email exists 8
Duplicate complete in confirmit 1
Terminate 21 - cqS5 513
Terminate - time based 86
INCIDENCE RATES
Net Effective Incidence 76.41%
Net Incidence 69.78 %
DURATION
Average Interview Duration 27min 17sec
Median Interview Duration 16min 19sec
1418076-US - Survey Start Date: Sep 3, 2016
Survey Close Date: Sep 10, 2016
NIH Brand Survey Final Results Master 09102016 v1.pdf

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NIH Brand Survey Final Results Master 09102016 v1.pdf

  • 1. NIH Final Benchmark Survey Results Monday, September 12, 2016 [2,002] Completes
  • 2. SURVEY Gen Pop Validation 9/12/2016 NIH Final Survey Results 2
  • 3. 0.00% 1.20% 0.00% 2.47% 2.77% 0.00% 9.15% 0.00% 1.57% 4.21% 0.00% 4.27% 6.26% 0.00% 0.00% 2.05% 11.62% 54.43% Life, Physical, and Social Science Occupations Legal Occupations Journalism or the Media Personal Care and Service Occupations Construction and Related Occupations Medical, Biomedical, Pharmaceutical Research Occupations Office and Administrative Support Occupations Community and Social Service Occupations Arts, Design, Entertainment, Music, and Theatre Occupations Food Preparation and Serving Related Occupations Marketing or Market Research Business and Financial Operations Occupations Sales and Related Occupations Healthcare Practitioners and Technical Occupations Healthcare Support Occupations Architecture and Engineering Occupations Self-Employed Other (Please specify ) Q. Which of the following best describes your current occupation? The goal of this question was to remove specific professions from the survey population to eliminate potential bias in survey responses – and to better represent the overall national general populous. Other professions identified are provided as red herring choices to have respondents self identify themselves by profession. They provide little analytical value in the overall survey tabulations and analysis. A total of 513 survey respondents were terminated from the survey based on occupation and are not tabulated into NIH Final survey tabulation results. √ Statistically Validated Sample 9/12/2016 NIH Final Survey Results 3 Screening Question
  • 4. Q. Have you ever heard of any of the following programs prior to taking this survey? The goal of this question was to screen out persons from taking the survey who had advance awareness and/or knowledge of The Precision Medicine Initiative to eliminate potential bias in survey responses – and to better represent the overall general populous. Other research studies identified were offered as Red Herrings and provide little analytical value. A total of 354 survey respondents were terminated from the survey based on their advance awareness of The Precision Medicine Initiative and are not tabulated into NIH Final survey results. √ Statistically Validated Sample Screening Question 95.60% 100.00% 66.28% 85.26% 95.70% 4.40% 0.00% 33.72% 14.74% 4.30% Cancer Moonshot 2020 The Precision Medicine Initiative Human Genome Project National Children’s Study Framingham Heart Study No Yes 9/12/2016 NIH Final Survey Results 4
  • 5. Demographic (Age & Gender) Tabulations to confirm a valid national general population representation in survey results. 16% 18% 16% 24% 26% 18-24 25-34 35-44 45-54 55-65 Male 34% Female 66% Age Bracket Total Counts 100.00% (2002) Male 100.00% (685) Female 100.00% (1317) 18-24 15.98% 320 11.82% 81 18.15% 239 25-34 18.28% 366 21.17% 145 16.78% 221 35-44 15.88% 318 19.12% 131 14.20% 187 45-54 23.53% 471 19.42% 133 25.66% 338 55-65 26.32% 527 28.47% 195 25.21% 332 United States Age Distribution Children 0-18 Adults 19-25 Adults 26-34 Adults 35-44 Adults 45-54 Adults 55-64 65+ 25.00% 10.00% 12.00% 13.00% 14.00% 13.00% 15.00% Population Analysis: Census Bureau March 2015. United States Gender Ratio ~50/50 Gender Split 9/12/2016 NIH Final Survey Results 5 √ Statistically Validated Sample
  • 6. 9/12/2016 NIH Final Survey Results 6 1.70% 4.70% 20.48% 10.84% 1.95% 55.29% 3.30% 1.05% South-Central Asian (Indian, Pakistani, etc) Far-East Asian (Chinese, Japanese, etc) Black/African-American Hispanic Native American/Aleutian Eskimo White/Caucasian Other Prefer not to say Although not ‘spot on’, percentages are close enough to validate the data results in our tabulations and analysis. United States Race and Hispanic Origin Population Distribution White / Caucasian (+Hispanic Origin) Black / African- American Native American - Eskimo Asian Native Hawaiian – Pacific Islander Two or More Races Hispanic or Latino (All Races) White Alone (Non Hispanic or Latino) 72.4% 13.3% 1.2% 5.6% 0.2% 2.6% 17.6% 61.6% Source: US Census Bureau, 2015 estimates. Demographic (Race & Ethnicity) Tabulations to confirm a valid national general population representation in survey results. √ Statistically Validated Sample
  • 7. 31% 13% 9% 8% 10% 13% 11% 3% 1% 2% Under $30,000 $30,000 to $40,000 $40,000 to $50,000 $50,000 to $60,000 $60,000 to $75,000 $75,000 to $100,000 $100,000 to $150,000 $150,000 to $200,000 $200,000 to $250,000 $250,000 or over United States Household Income Distribution Under $15,000 $15,000 to $24,999 $25,000 to $34,999 $35,000 to $49,999 $50,000 to $74,999 $75,000 to $99,999 $100,000 to $149,999 $150,000 to $199,999 $200,000 and over 12.6% 11% 10.1% 13.1% 17% 11.5% 13.4% 5.7% 5.6% Source: US Census Bureau, 2006; income statistics for the year 2014 9/12/2016 NIH Final Survey Results 7 51% 16% 9% 6% 6% 7% 4% 1% 1% 20% 16% 7% 7% 10% 22% 13% 2% 1% 4% 20% 11% 10% 9% 13% 14% 16% 4% 1% 2% 30% 12% 7% 7% 13% 11% 14% 3% 1% 1% 34% 11% 9% 11% 10% 10% 9% 3% 1% 1% Under $30,000 $30,000 to $40,000 $40,000 to $50,000 $50,000 to $60,000 $60,000 to $75,000 $75,000 to $100,000 $100,000 to $150,000 $150,000 to $200,000 $200,000 to $250,000 $250,000 or over 18-24 25-34 35-44 45-54 55-65 Demographic (Income) Tabulations to confirm a valid national general population representation in survey results. √ Statistically Validated Sample
  • 8. 9/12/2016 NIH Final Survey Results 8 √ Statistically Validated Sample Demographic (States) Tabulations to confirm a valid national general population representation in survey results. 1.60% 0.05% 2.60% 1.05% 12.74% 1.45% 1.25% 0.50% 0.30% 7.79% 3.80% 0.50% 0.40% 5.29% 1.45% 0.85% 0.65% 1.80% 0.65% 0.15% 1.85% 1.05% 2.70% 1.70% 0.65% 1.30% 0.30% 0.80% 1.30% 0.10% 2.65% 0.85% 7.89% 4.10% 0.05% 3.65% 0.95% 1.15% 3.55% 0.30% 2.05% 0.20% 2.15% 6.04% 0.40% 0.20% 2.85% 2.00% 0.55% 1.70% 0.15% Alabama Alaska Arizona Arkansas California Colorado Connecticut Delaware District of Columbia Florida Georgia Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New Jersey New Mexico New York North Carolina North Dakota Ohio Oklahoma Oregon Pennsylvania Rhode Island South Carolina South Dakota Tennessee Texas Utah Vermont Virginia Washington West Virginia Wisconsin Wyoming Survey Respondents 0.18% 1.80% 0.57% 2.23% 2.61% 0.19% 0.93% 8.55% 2.05% 0.27% 1.52% 0.33% 3.98% 1.25% 1.22% 3.61% 0.24% 3.12% 6.16% 0.65% 2.79% 0.41% 0.90% 0.59% 0.32% 1.89% 0.93% 1.71% 3.09% 2.11% 1.87% 0.41% 1.45% 1.38% 0.91% 0.97% 2.06% 4.00% 0.51% 0.45% 3.18% 6.31% 0.21% 0.29% 1.12% 1.70% 12.18% 0.93% 2.12% 0.23% 1.51% .Wyoming .Wisconsin .West Virginia .Washington .Virginia .Vermont .Utah .Texas .Tennessee .South Dakota .South Carolina .Rhode Island .Pennsylvania .Oregon .Oklahoma .Ohio .North Dakota .North Carolina .New York .New Mexico .New Jersey .New Hampshire .Nevada .Nebraska .Montana .Missouri .Mississippi .Minnesota .Michigan .Massachusetts .Maryland .Maine .Louisiana .Kentucky .Kansas .Iowa .Indiana .Illinois .Idaho .Hawaii .Georgia .Florida .District of Columbia .Delaware .Connecticut .Colorado .California .Arkansas .Arizona .Alaska .Alabama US Census: 2015 est.
  • 9. SURVEY Tabulations & Analysis 9/12/2016 NIH Final Survey Results 9
  • 10. QA1. Please indicate how much you agree or disagree with each of the statements. Survey respondents generally in high numbers represent they are good initiative candidates: • Health conscious • Trust their doctors • Believe pharmaceutical companies are good corporate citizens with admirable intentions • Sensitive to helping others in times of need • Open to giving back and volunteering Of note, government trust is less pervasive among the survey population indicating communications will need to build higher levels of personal trust through positioning, messaging and peer testimonials. 9/12/2016 NIH Final Survey Results 10 32% 58% 19% 11% 48% 28% 51% 30% 30% 22% 38% 33% I trust doctors It’s important to me I think pharmaceutical I trust the government I’m willing to help people Giving back/volunteering Agree Strongly Agree Somewhat Baseline Analysis Guiding Personal Values & Beliefs 32% 58% 19% 11% 48% 28% 51% 30% 30% 22% 38% 33% 10% 9% 23% 26% 11% 25% 17% 24% 8% 11% 17% 5% 0% 20% 40% 60% 80% 100% I trust doctors to make the right decisions for my health. It’s important to me to be proactive about my health (i.e. regular check-ups, exercise, healthy eating). I think pharmaceutical companies conduct research to find new drugs and treatments that will help people, not just to make money. I trust the government to do what’s right for its citizens. I’m willing to help people in need and expect nothing in return. Giving back and/or volunteering is an important part of my life right now. Agree Strongly Agree Somewhat Neither Agree Nor Disagree Disagree Somewhat Disagree Strongly
  • 11. QA2. How often would you say that you…? Survey respondents represent in reasonably high numbers they are active in their personal healthcare. Of note, minor statistical deviations do exist within target populations of age and race for where and how often respondents seek healthcare. Attributes used to isolate frequency and location nuances for personal healthcare reinforces the need to plan for these considerations within all communications and enrollment activation directions. 9/12/2016 NIH Final Survey Results 11 Baseline Analysis Frequency of Healthcare Habits 4% 60% 60% 67% 11% 11% 10% 9% 16% 18% 19% 9% 9% 6% 49% 28% 7% 7% 4% 9% 22% 6% 7% 6% 10% 5% 6% 7% 0% 20% 40% 60% 80% 100% Go to the doctor Go to a community health clinic/free clinic Go to a clinic within a pharmacy (CVS MinuteClinic, etc.) Go to the Emergency Room because I don't have a doctor Get a routine physical Never Once every few years Once per year 2-3 times per year 4-6 times per year Once per month Twice per month or more
  • 12. QA3. Have you ever participated in a medical research study? Survey respondents represent in high numbers they are either willing to participate – or open to participate in a medical research study. Statistically valid sample sizes reveal interest across all age brackets and race / ethnicities. 9/12/2016 NIH Final Survey Results 12 Yes No, but I am open to participating in a medical research study No, and I would never participate in a medical research study Total 7% 76% 17% 7% 76% 17% 0% 10% 20% 30% 40% 50% 60% 70% 80% Optional Choice 18-24 25-34 35-44 45-54 55-65 Yes 6% 4% 6% 8% 9% No, but I am open 80% 79% 77% 78% 71% No, and I would never 14% 17% 17% 14% 20% Baseline Analysis Research Study Participation Openness
  • 13. Everyone is different, with unique genes, lifestyles, and environments. Because of these differences, a medical treatment that works for one person might not work for another, even if both people have the same disease. Doctors often must use trial and error to figure out what treatment will work. The National Institutes of Health (NIH), in collaboration with universities and technology companies, wants to create a new model of medicine that is tailored to each person, so that, in the future, people can receive the exact right diagnoses, treatments, and preventions they need. To understand how genetic and lifestyle differences can affect health and disease, researchers need a lot of health data from many people. The NIH is asking one million Americans to donate their health data: their electronic health records, DNA through a blood sample, lifestyle data (i.e. data from Fitbit, Nike+, etc.), and possibly environmental data (i.e. air and water quality). This data will go into a huge database for researchers to study health and disease, with the goal of finding and targeting medical treatments faster and more effectively. The NIH wants people to be partners in this process, not research subjects. Before donating health data, people will give informed consent. Identifying details like names, addresses, and social security numbers will be removed from the health data. Age, race/ethnicity, and gender will not be removed as they are relevant to medical research. People will have some control over how their health data is shared and used in the research, and may withdraw from participating at any time. The research will take place over ten or more years. It may take many years for breakthroughs about health and disease to happen. People who donate health data may not be helped by these breakthroughs during their lifetime. But they may get back information about their health, and information about the research findings more generally. 9/12/2016 NIH Final Survey Results 13 Presented Baseline Project Description
  • 14. 59% 36% 5% Positive Neutral Negative QB1. What do you think about the description you’ve just read? Favorable sentiments across respondent feedback is extremely high for the presented project description. This indicates there is general and open willingness in scale to help societal causes and others. Of those who are “neutral” in their position, it is largely due to apprehension for sharing personal (healthcare) information with others outside of their healthcare networks and physicians. The small population that is strongly opposed to the project are those who may believe in strong personal values for privacy. It is likely these individuals will be hard to convert to a different opinion. 9/12/2016 NIH Final Survey Results 14 Neutral Sentiments (Common Theme) “Although I know that something like this needs to happen, it’s also scary having your personal information out there for random people you don’t know to see. And not know if it is being used exactly what is said that it’s being used for. Very skeptical.” Negative Sentiments (Common Theme) “I understand the concept, but I don’t like the idea of personal data being shared.” Positive Sentiments (Common Theme) “I feel that it is a great idea. I have health issues and I don’t want people to have to suffer like I have. So I would do anything to help research and create treatments and options for my diseases.” Baseline Analysis Program Description
  • 15. QB2. What is the best word to describe what you just read about? The underlying objective of this question was to determine a preferred best word (or word combination) choice, which could be applied to describe the “project”. The goal was to identify descriptive language that is quick and easy to understand with instant project association recognition. o Network o A Study o Research Program o An Initiative o A Program o A Movement o Other (Please Specify) o None of the above 9/12/2016 NIH Final Survey Results 15 Optional Choice 18-24 25-34 35-44 45-54 55-65 An Initiative 15% 15% 13% 11% 11% A Study 27% 22% 27% 25% 23% A Program 5% 8% 6% 5% 4% A Movement 12% 7% 8% 6% 3% Research Program 37% 42% 42% 47% 53% Network 1% 2% 2% 1% 1% None of the above 3% 4% 2% 2% 2% Across all age brackets… “Research Program” clearly is the preferred choice to describe the project. Baseline Analysis Project Nomenclature 45.30% 24.48% 12.79% 6.64% 5.19% 2.80% 1.50% 1.30% Research Program A Study An Initiative A Movement A Program None of the above Other (Please specify) Network Statistical Probability - 98% Level of Confidence - Top Choice + 2.5% margin of error
  • 16. QB3. If the project you just read about existed today, how likely would you be to participate in it? Favorable opinions among the audience viewing the NIH “project” for the first time is promising. More than 53% of respondents have stated they would either DEFINITELY or PROBABLY participate. Add in the “might” category and 84% of all survey respondents become self identified as pre- qualified participation candidate targets. 9/12/2016 NIH Final Survey Results 16 Optional Choice 18-24 25-34 35-44 45-54 55-65 Definitely 21% 34% 28% 22% 18% Probably 31% 31% 31% 28% 28% Might - might not 34% 26% 25% 37% 30% Probably not 9% 5% 10% 6% 13% Definitely not 5% 3% 6% 7% 11% Baseline Analysis Project Participation Interest 23.58% 29.82% 30.72% 8.94% 6.94% Definitely would participate in this project Probably would participate in this project Might or might not participate in this project Probably would not participate in this project Definitely would not participate in this project Across all age brackets… likely candidates for participating in the project look extremely positive. Statistical Probability - 98% Level of Confidence - Top Choice + 2.2% margin of error
  • 17. QB4. How interested are you in getting more information about the project? Respondents generally want more information. More than 50% of the survey population is either EXTREMELY or VERY interested in receiving more information. Dissemination of information will be important via all channels and outlets to activate a large national population. 9/12/2016 NIH Final Survey Results 17 Baseline Analysis Information Needs & Interests 22.73% 27.62% 31.97% 11.79% 5.89% Extremely interested in getting more information about this project Very interested in getting more information about this project Somewhat interested in getting more information about this project Not very interested in getting more information about this project Not at all interested in getting more information about this project Statistical Probability - 98% Level of Confidence – “Extremely Interested” + 2.2% margin of error
  • 18. BRANDING Naming Convention QB5. Please indicate which of the following names does the best job of describing this project? “The Future Health Research Program” and “The Future of Medicine Study” are the most preferable project names. This coincides with the top two choices for project nomenclature, “research program” and “study”. Of note, “The All of Us Research Program” name which includes one of the most preferred project nomenclature names still ranks in the lower half of all preferred choices. Therefore, nomenclature preferences linked to preferred naming conventions may or may not directly have influence on preferred choices. 9/12/2016 NIH Final Survey Results 18 18.63% 13.99% 12.54% 11.19% 10.54% 9.94% 6.94% 5.84% 5.54% 4.85% The Future Health Research Program The Future of Medicine Study The All of Us Initiative For Better Health The Better Health Movement All of Us: The Precision Medicine Initiative The Precision Medicine Initiative The All of Us Research Program The Precision Health Network All of Us The Precision Medicine Program Statistical Probability - 98% Level of Confidence - Top Choice + 2.0% margin of error
  • 19. BRANDING NamingConvention–CrossTabulation QB5. Please indicate which of the following names does the best job of describing this project? Upon closer review, Project Nomenclature preferences do not directly impact Naming Convention preferences with any statistical probability. 9/12/2016 NIH Final Survey Results 19 Nomenclature Preference (2002) Total - 100.00% An Initiative 12.79% 256 A Study 24.48% 490 A Program 5.19% 104 A Movement 6.64% 133 Research Program 45.30% 907 Network 1.30% 26 None of the above 2.80% 56 Other (Please specify) 1.50% 30 Naming Convention Preference (2002) Total - 100.00% The Future Health Research Program 18.63% 373 The Future of Medicine Study 13.99% 280 The All of Us Initiative For Better Health 12.54% 251 The Better Health Movement 11.19% 224 All of Us: The Precision Medicine Initiative 10.54% 211 The Precision Medicine Initiative 9.94% 199 The All of Us Research Program 6.94% 139 The Precision Health Network 5.84% 117 All of Us 5.54% 111 The Precision Medicine Program 4.85% 97 256 661 907 512 490 280 Nomenclature Naming Convention Cross Tabulation Nomenclature Preference Influence Analysis Inititaive Research Program Study
  • 20. QB6. Why do you say that? The Future Health Research Program (Positive Feedback) Respondents provided a myriad of reasons why they chose “The Future Health Research Program” as the most preferable project name. At the core of these respondent opinions, name choice preferences have a common general theme: Helping people with future health through research. 9/12/2016 NIH Final Survey Results 20 The Future Health Research Program Positive Respondent Sampled Feedback (373 cross tabulated responses) o The name fits best. It’s about the health of our future. o You are trying to help people and their health and in the future. o With today’s research, we can help tomorrow’s health of people. o Trying to improve people’s health for the future. o To me, that is what was described, easy to understand. o This is a research program now that could have future health benefits for everyone. o This explains the research is health related and will be for future discoveries. o To me that is what it is from the understanding I get from what I read. it is gathering information to help deal with people in years to come. o This title is all inclusive and this will let people know it is a research program. o The name is very descriptive and tells me it is a research program and has to do with future health. BRANDING NamingConvention–PromptedFeedback
  • 21. QB5. Please indicate which of the following names does the poorest job of describing this project? “All of Us” as a stand-alone concept ranks the lowest as a preferable choice by a wide margin for describing the project. With a separation of only 63 responses between the number two ranked choice and the tenth ranked choice, standard deviations in tabulations below “All of Us’ can be seen as statistically slight and are determined insignificant. However, the consideration remains whether “All of Us” can work as a campaign name and/or if “All of Us” could work as a project name if attached to other words or project nomenclature. 9/12/2016 NIH Final Survey Results 21 BRANDING Naming Convention 41.61% 8.24% 7.64% 7.19% 6.69% 6.39% 5.74% 5.74% 5.64% 5.09% All of Us The Precision Health Network The Future of Medicine Study The All of Us Research Program The Better Health Movement The Precision Medicine Program The Precision Medicine Initiative The Future Health Research Program The All of Us Initiative For Better Health All of Us: The Precision Medicine Initiative Statistical Probability - 98% Level of Confidence - Top Choice + 2.6% margin of error
  • 22. QB6. Why do you say that? All of Us (Negative Feedback) Respondents provided a general common theme for why they felt “All of Us” did not capture the project well as a naming convention. At the core of these opinions, the name suggests in respondent views: That it is too vague and doesn’t provide sufficient information to understand what the project is about. 9/12/2016 NIH Final Survey Results 22 All of Us Negative Respondent Sampled Feedback (833 groomed responses) o All of Us does not, for me, describe that it is medically- related in any sense. o All of Us gives no information at all about what the study is about... o All of Us is a general statement, can mean anything. o All of Us is a poor title choice for this program because it’s very broad and can mean anything. o All of Us is very general and makes no reference to medicine, research, etc. o All of Us only really makes sense in that the project is attempting to find a way that benefits us all equally. Other than that, the name isn’t really that appropriate. “All of Us” [by itself] just somehow seems misleading to me. o All of Us, I feel is an EXTREMELY poor representation of the initiative. First, if someone were to read All of Us; they would have no idea what it was. BRANDING NamingConvention–PromptedFeedback
  • 23. QB6. If you prefer a different name, please tell us that name. Many variations were submitted which largely played off conceptual directions presented as naming convention choices. Words most frequently used are represented in the Word Cloud below. Health, Future, Better, Initiative are leading word choices to help describe the “project” with associated personal value and/or meaning. 9/12/2016 NIH Final Survey Results 23 • The All of Us Initiative For Better Health Outcomes • A Healthier Future Initiative • Advances in Medicine for Humanity • All of Us = Hope • All of us better health • All of us Initiative for Better Health • All of us together healthcare program • All of Us: An Initiative to Improve our Future Health • Better health for all of us plan • Better Health for All • Better health for our future • Better health in time • Better healthcare for you and me • Collective Health Initiative for Personalized Healthcare • Empowering the Health of a Generation • Future Health Initiative • Future Health Research and Study • Future Health Research Initiative • Future of Medicine Research Program • Genetic health initiative • Greater Health • Greater health Initiative for our future • Health for future generations • Health Research for the Future • Health the next generation • Human Health Care Project • Medical Mapping for Better Healthcare • Medicine for all humans • Medicine for the future • Personalized Medicine: The Future of Healing • Personalized medicine study • Precise health care • Precision Health Studies • Precision Health: A future for all of us. • Progressive Health Network • Progressive Medical Initiative • Research for Better Health for All of Us • Research for human health and development • Saving human health • The Better Health Initiative • The Future of Better Health • The Future of Health • The Future of Health Initiative • The Future of Medical Science • The Future of Medicine Is Here • The Future of our Health • The Human Precision Health Network • Precision Health for All. • The Study of Future Health Initiative • The Better Health Initiative BRANDING NamingConvention–PromptedFeedback
  • 24. QB7. Please indicate which one would most compel you to participate? A second validation question (worded slightly different) was used to test and verify earlier results for naming convention preferences. “The Future Health Research Program” is further validated (among the choices presented) as the name that would most compel people to participate in the project. This naming convention also includes the most preferred choice in nomenclature when asked to describe the project, “Research Program”. “The All of Us Initiative For Better Health” performs marginally well in the second grouping, as it did in QB5: “What is the best name for the program?” Of note: The “All of Us” variation also includes a word combination using three highly used words preferred in respondent feedback. Of special note: “None of the Above” appearing near the top of the rankings is troublesome as there is no clear, runaway choice. This reinforces the notion that more research may be required. 9/12/2016 NIH Final Survey Results 24 BRANDING Naming Convention 16.23% 12.74% 12.64% 12.54% 11.74% 9.59% 8.09% 5.09% 4.05% 3.75% 3.55% The Future Health Research Program The Better Health Movement None of the above The All of Us Initiative For Better Health The Future of Medicine Study All of Us: The Precision Medicine Initiative The Precision Medicine Initiative The All of Us Research Program The Precision Health Network All of Us The Precision Medicine Program Statistical Probability - 98% Level of Confidence - Top Choice + 1.9% margin of error
  • 25. BRANDING Project Benefit Perceptions QB8. Based on the project description, which of the following best describes what this project hopes to achieve? From the survey respondents, most all of the sample population understood “advancing healthcare” is the underlying intent and benefit behind the project. The use of the “Better Health” word combination ranks first in a series of five offered choices and is statistically relevant for communications. Other than minor slight nuances, no significant deviations among age and race / ethnicity classifications are present. 9/12/2016 NIH Final Survey Results 25 32.77% 20.88% 22.83% 18.53% 5.00% Better Health Future Health Better Medicine Future Medicine None of the above Statistical Probability - 98% Level of Confidence - Top Choice + 0.77% margin of error
  • 26. BRANDING Naming Convention QB10. In the context of a sentence, which project names sounds best? This is the third in a series of naming convention validation questions (using slightly different wording). “The Future Health Research Program” marginally outperforms all other choices. This is the third time that this choice has come out in the top ranking position. “All of Us” as a standalone naming convention does poorly as we saw in QB 5: when asked which name is the poorest for the describing program. “The All of Us Initiative For Better Health” is the best performing choice among the four “All of Us” variations and is consistently in the top 50% percentile. 9/12/2016 NIH Final Survey Results 26 15.58% 13.74% 12.64% 12.29% 12.29% 9.34% 6.59% 5.29% 4.60% 4.40% 3.25% Have you heard about The Future Health Research Program? Have you heard about The Better Health Movement? Have you heard about The Future of Medicine Study? Have you heard about The All of Us Initiative For Better Health? None of the above. Have you heard about The Precision Medicine Initiative? Have you heard about All of Us: The Precision Medicine Initiative? Have you heard about The Precision Health Network? Have you heard about The Precision Medicine Program? Have you heard about The All of Us Research Program? Have you heard about All of Us? Statistical Probability - 98% Level of Confidence - Top Choice + 1.8% margin of error
  • 27. BRANDING Tagline Directions QB11. When added to your preferred project name choice, which phrase would most compel you to participate? This question took a respondent’s preferred project name from QB5: (Which is the best name to describe the program), and added a second line of copy to the name. Of note: The inclusion of the word “Health” as part of any tagline statistically performs better over the word “medicine”. “Better” and “Future” are also high performing words. Regardless of chosen project name, the word combinations “For Better Health” or “Future of Health” added to the project name garnered the most appeal of all presented options. These phrases were also chosen in QB8 as the phrase that best describes what the program is hoping to achieve. 9/12/2016 NIH Final Survey Results 27 57% 56% 51% 50% 49% 47% 45.05% 44.86% 41.06% 36.66% 28.17% 19.98% : For Better Health : The Future of Health Begins With You : Together For Better Health : Future of Health : For Better Medicine : Future of Medicine : Together for Better Medicine : Together for the Future of Medicine : In It Together For Better Health : All of Us Together for Better Health : All of Us Together : All of Us Yes Statistical Probability - 98% Level of Confidence - Top Choice + 0.81% margin of error
  • 28. BRANDING Logo Validation QB12. If the project we discussed today had this image as the logo, which of the following would you think is the name of the project? The majority of survey respondents think the Logo Lockup in it’s entirety, “All of Us: The Precision Medicine Initiative”, is the project name: rather than two individual thoughts i.e. campaign name and project name. Of note: This name was the 6th most popular choice of respondents as a name that would compel them to participate as seen in QB 7. The stronger font and larger logo type font of “All of Us” in the logo treatment enabled it to rank second when specifically asked, “What is the project name?” Of special note: The objective was not to validate “All of Us” as a project name, but to understand the viewer’s perception of the project name based on logo design. If this logo lockup was meant to represent the name of the project as The Precision Medicine Initiative, less than 9% of people understood. 9/12/2016 NIH Final Survey Results 28 35.76% 29.62% 10.89% 8.89% 5.99% 4.65% 3.75% 0.45% All of Us: The Precision Medicine Initiative All of Us The All of Us Precision Medicine Initiative The Precision Medicine Initiative I Don't Know The Precision Medicine Initiative All of Us None of the above Other (Please specify) Statistical Probability - 98% Level of Confidence - Top Choice + 2.5% margin of error
  • 29. BRANDING Call To Action Motivation Behaviors 21.03% 16.23% 21.88% 27.07% 26.27% 33.47% 25.12% 32.62% 34.27% 38.51% 30.62% 34.72% 30.97% 25.57% 23.53% 8.39% 14.24% 8.09% 7.14% 5.54% 6.49% 9.69% 6.44% 5.94% 6.14% "Join ." "Sign up for ." "Participate in ." "Become a Partner in ." "Become Part of ." Very excited about the project Somewhat excited about the project Neither excited nor unexcited about the project Not very excited about the project Not at all excited about the project 9/12/2016 NIH Final Survey Results 29 QB9. How excited or unexcited would you be about the project if you saw the following statements? What becomes evident is statements using “partner” or “become part” or likely other similar terminology to represent group involvement will resonate with the general populous at higher levels across all age classifications.
  • 30. SURVEY Baseline Execution Statistics 9/12/2016 NIH Final Survey Results 30
  • 31. Fieldwork Report 9/12/2016 NIH Final Survey Results 31 RESPONDENTS STATUS SUMMARY Started 5899 Incompletes 2582 Completes 2002 Quota Full 2000 Terminates 1299 TERMINATES Terminate 22 - cqS6 354 IP address mismatch Terminate 56 Terminate 9 - Income -cqS2 250 Terminate 8 - Age - cqS1 31 Terminate - ID or Email exists 8 Duplicate complete in confirmit 1 Terminate 21 - cqS5 513 Terminate - time based 86 INCIDENCE RATES Net Effective Incidence 76.41% Net Incidence 69.78 % DURATION Average Interview Duration 27min 17sec Median Interview Duration 16min 19sec 1418076-US - Survey Start Date: Sep 3, 2016 Survey Close Date: Sep 10, 2016