making data sing: talking about research to a lay audience

8/4/2019 Making Data Sing: Talking About Research to a Lay Audience

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Making Data Sing: Talking AboutResearch to a Lay Audience

September 28, 2011


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Housekeeping

Questions

Please submit your questions via the chat

features. We will have about 15 mins for

Q&A at the end of the webinar.

Webinar / Slide Deck Archive:

An archive of the webinar and the slide

deck will be posted by Oct 4 here:

www.rwjfleaders.org/resources


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Presenters

Gretchen Wright, Vice President

PR Solutions

Kurt Voelker, Chief Technology Officer

Forum One Communications


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Insufficiently concerned with accuracy

Superficial

Sensationalist

Focused on controversy and tension

Ignorant

Unethical and willing to do anything to get

the story

Am I Making Myself Clear? A Scientists Guide to Talking to the Public, CorneliaDean, Harvard University Press, 2009


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Boring

Hair-splitting

Caveating things to death

Overly interested in process

Unable to articulate a bottom line or

distinguish the forest for the trees

Users of unintelligible jargon

Am I Making Myself Clear? A Scientists Guide to Talking to the Public,Cornelia Dean, Harvard University Press, 2009


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What Does All This Data Mean?

22.34%

Risk factor of 32.55%


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I dont understand that statistics

stuff.

- John Zarrella, CNN Miami

correspondent, covering NASA

7December 3, 2008


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Outline of a News Article

Lead (or lede) the most important fact

or finding

The answers to the most important

questions why the finding matters

Material that explains and amplifies the

lead

Background/supporting materialmethodology, history of the issue


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Methodology

SPSS Windows (version 18.0) was used for data management and statistical

analysis. Descriptive statistics on all variables (e.g., frequencies, means, standarddeviation), chi-square analyses for categorical variables, and t-test or ANOVA for

continuous variables were calculated. This report represents a trend and best

predictor analysis of the first and second years of data. A descriptive analysis of

the overall first and second years of data is presented in this report. The

descriptive analysis for the first year (by round) of data is available in a previously

published report.4

An older trend analysis from the first year of data collection (rounds 1 to 4) was

contrasted with a trend analysis from the second year (rounds 5 to 8). Trend

analyses included likelihood ratio tests of overall differences between rounds, tests

of deviation from linearity, and Wald chi-square tests of polynomial trend

components (linear, quadratic, and cubic). In addition, Wald chi-square tests of

adjacent rounds were conducted within year. Detailed rates for cross-classifiedverbal abuse and physical violence categories are presented for each round, each

year, and overall. Within each seasonal quarter and overall, consecutive years

were compared on rates for cross-classified verbal abuse and physical violence

categories (via z-tests for independently sampled proportions).


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Methodology

The study is based on quarterly surveys of a total of 3,211

emergency nurses across the country from May 2009 to

February 2010. ENA collected the data at three-month

intervals in order to assess whether there were fluctuations in

violence over the course of a year. The study found that rates

of abuse remained constant over time.

10December 3, 2008


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Tell a Story


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Heart Failure Program HasReduced Readmissions

by 30 Percent

12December 3, 2008


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Since July, Mochun Li has been hospitalized at

the U.C.S.F. Medical Center three times. On

some nights, Ms. Li had struggled so hard to

breathe that she had not been able to sleep

Now Ms. Li, 89, is at home and breathing more

easily, thanks in part to the heart failure program

at the University of California.

13December 3, 2008


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The hospital says the program has saved

Medicare at least $1 million a year.

14December 3, 2008


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Tell a Story


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Peanut ball reducing C-section rate.

Those who used the ball decreased the first stage of labor

by nearly 90 minutes and the second stage by 23

minutes compared with a control group that did not use

the ball.

The C-section rate for the group of women who used the

ball was 13 percentage points less than for the group

that did not use the peanut ball.

16December 3, 2008


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they recruited two groups of patients to test the

theory those who would be given peanut balls

during appropriate stages of labor and those without.

17December 3, 2008


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Tell A Story

18September 30, 2011


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Hospitalized Kids May Receive Up to 35

Meds a Week

Some children, especially those with rare

conditions, receive many different drugs while

in the hospital, a new study finds.

19December 3, 2008


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On the first day in childrens hospitals, patients

younger than 1 year at the 90th percentile of daily

medication use received 11 drugs and those 1

year or older received 13 drugs. In general

hospitals, patients younger than 1 year had

received 22 drugs and patients 1 year and older

had received 28 drugs.

20December 3, 2008


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Who Am I Really Talking To?

CaregiversHealth Care Providers

Hospital Administrators

Policy Makers

Possible patients


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Questions from Patients/Caregivers

What does this mean for my health?

What does this mean for my health care?

Are there behaviors I should change?

Are there warning signs I should look out for?

Are there questions I should be asking my health careproviders?

Are there tests or screenings I should be getting?

Are there tests or screenings I should be getting more often?

Is there information I should be sharing with my health careprovider?


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Questions from Policy Makers

What does this mean for public health?

Does this have ramifications for public

policy?

Could this lower health care costs?Could this raise health care costs?

Is there more research that needs to be

done?


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Questions from Hospital Administrators

Are there protocols or procedures we

should change?

Does this have cost ramifications?

Is there a replicable model for change?

24December 3, 2008


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ARE THERE INCORRECT

CONCLUSIONS PEOPLEMIGHT DRAW?


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7 x 1 = 0

3 x 3 = 2

Know Your Key Findings!


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Try to Avoid Acronyms

IOM

NIH

JCAHOCDC

NICU

AHIP

Any organizationalacronyms


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Things People Remember

Its the first systematic effort to have

children evaluate their hospital care.

This is the most comprehensive

survey to date on the health behaviors

of pregnant women in the U.S.


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Types of Words to Avoid

Meta-analysis

Hyperbilirubinemia

DVT

Myocardial infarction

basically, anything youd hear

during the diagnostic teams scenes

in House.


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Suggested Reading

Making Data Talk: Communicating

Public Health Data to the Public,

Policy Makers, and the Press

- David Nelson, Bradford Hesse, Robert Coyle

Am I Making Myself Clear? A

Scientists Guide to Talking to the

Public

- Cornelia Dean


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ways to tell your story

with data


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Speak with Numbers


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Reveal Change


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http://visitmix.com/labs/descry/theobesityepidemic/
http://visitmix.com/labs/descry/theobesityepidemic/http://visitmix.com/labs/descry/theobesityepidemic/


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http://visitmix.com/labs/descry/theobesityepidemic/
http://visitmix.com/labs/descry/theobesityepidemic/http://visitmix.com/labs/descry/theobesityepidemic/


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Focus on the Story


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DESPITE FINANCIALAND DEMOGRAPHICCHALLENGES, SOME

SCHOOL DISTRICTS ARESUCCEEDING.


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Provide Context

$300


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Cost toraise 1Billionpeople outof extreme

poverty

$300

Worldwidecost of

financialcrisis

$11,900

WalmartRevenue

$405

http://www.informationisbeautiful.net/visualizations/the-billion-dollar-gram/
http://www.informationisbeautiful.net/visualizations/the-billion-dollar-gram/http://www.informationisbeautiful.net/visualizations/the-billion-dollar-gram/http://www.informationisbeautiful.net/visualizations/the-billion-dollar-gram/http://www.informationisbeautiful.net/visualizations/the-billion-dollar-gram/http://www.informationisbeautiful.net/visualizations/the-billion-dollar-gram/http://www.informationisbeautiful.net/visualizations/the-billion-dollar-gram/http://www.informationisbeautiful.net/visualizations/the-billion-dollar-gram/http://www.informationisbeautiful.net/visualizations/the-billion-dollar-gram/


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http://www.youtube.com/watch_popup?v=NmiUsdn7qRk&vq=medium#t=373
http://www.youtube.com/watch_popup?v=NmiUsdn7qRk&vq=mediumhttp://www.youtube.com/watch_popup?v=NmiUsdn7qRk&vq=medium


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Let Users Explore,

Discover, and

CONTROL.


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http://www.ge.com/visualization/appliances_energyuse/index.html
http://www.ge.com/visualization/appliances_energyuse/index.htmlhttp://www.ge.com/visualization/appliances_energyuse/index.html


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Let Users TellYour Story


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http://data.worldbank.org


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And of course, you

can always Tell

your data story


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Information is Beautiful

http://www.informationisbeautiful.net/

Flowing Data

http://www.flowingdata.com

Sources for Daily Data Inspiration


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Find Your Story


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Put the PlayersTogether


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story teller (Thats You!)

visual designer

engineer

Compelling Online Data Story

+

+


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Questions & Answers

1

Wrap Up


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Wrap Up

Next webinar.

PowerPoints with Punch

Coming on October 26, 2011

2:00 3:00pmPresented by:

McK

making data sing: talking about research to a lay audience

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