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MAKING DATA TALK: COMMUNICATING PUBLIC HEALTH DATA TO THE PUBLIC, POLICY MAKERS, AND THE PRESS Bradford W. Hesse, PhD National Cancer Institute Tuesday, November 29, 2011

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A talk given to the DHHS Office of Global Affairs based on our book "Making Data Talk."

TRANSCRIPT

Page 1: Making Data Talk

MAKING DATA TALK: COMMUNICATING PUBLIC HEALTH

DATA TO THE PUBLIC, POLICY MAKERS, AND THE PRESS

Bradford W. Hesse, PhDNational Cancer Institute

Tuesday, November 29, 2011

Page 2: Making Data Talk

Information Environment

Tuesday, November 29, 2011

Page 3: Making Data Talk

Information Environment

Tuesday, November 29, 2011

Page 4: Making Data Talk

Information Environment

Tuesday, November 29, 2011

Page 5: Making Data Talk

Information Environment

Tuesday, November 29, 2011

Page 6: Making Data Talk

Information Environment

Tuesday, November 29, 2011

Page 7: Making Data Talk

Information Environment

Tuesday, November 29, 2011

Page 8: Making Data Talk

Tuesday, November 29, 2011

Page 9: Making Data Talk

Everything causes?

Can prevent?

Know how?

Confusion

+7.7%

Confusion is increasing

Tuesday, November 29, 2011

Page 10: Making Data Talk

Everything causes?

Can prevent?

Know how?

Confusion

+7.7%

-1%

Confusion is increasing

Tuesday, November 29, 2011

Page 11: Making Data Talk

Everything causes?

Can prevent?

Know how?

Confusion

+7.7%

-1%

+3.7%

Confusion is increasing

Tuesday, November 29, 2011

Page 12: Making Data Talk

2003

Tuesday, November 29, 2011

Page 13: Making Data Talk

Tuesday, November 29, 2011

Page 14: Making Data Talk

*8,571 must die from smoking to warrant news story*7,500 must die due to obesity to warrant news story

**

Tuesday, November 29, 2011

Page 15: Making Data Talk

Actual Mortality from Risk FactorCopy Devoted to Risk Factor

Frost K, Frank E, Maibach E. Relative risk in the news media: a quantification of misrepresentation. Am J Public Health 1997;87(5):842-5.

Tuesday, November 29, 2011

Page 16: Making Data Talk

Tuesday, November 29, 2011

Page 17: Making Data Talk

Inform Support Decisions

Educate Persuade

“Making Data Talk”Adapting to a World of Ubiquitous Data Systems

Tuesday, November 29, 2011

Page 18: Making Data Talk

Organize• What is the evidentiary story?• What functions will data serve?

Plan• Audiences, messages, channels? • Timeline?

Test• User-centered design• Translational research

INtegrate• Connect service w/ partners• Connect the dots for users

OPT IN

Organize• What is the evidentiary story?• What functions will data serve?

Tuesday, November 29, 2011

Page 19: Making Data Talk

Organize• What is the evidentiary story?• What functions will data serve?

Inform Educate PersuadeSupport Decisions

Settled Science

UnsettledScience

Function

Science

Tobacco & Cancer

Example

Tuesday, November 29, 2011

Page 20: Making Data Talk

Organize• What is the evidentiary story?• What functions will data serve?

Inform Educate PersuadeSupport Decisions

Settled Science

UnsettledScience

Function

Science

Environmental ExposureExample

Tuesday, November 29, 2011

Page 21: Making Data Talk

HINTS Isopleth “Weather” Map

State-base Cancer Mortality (lung)

InformOrganize• What is the evidentiary story?• What functions will data serve? For Example

Tuesday, November 29, 2011

Page 22: Making Data Talk

Organize• What is the evidentiary story?• What functions will data serve?

Plan• Audiences, messages, channels?• Timeline?

Test• User-centered design• Translational research

INtegrate• Within the bigger picture• In a practical way for users

OPT IN

Plan• Audiences, messages, channels?• Timeline?

Tuesday, November 29, 2011

Page 23: Making Data Talk

Understand audience’s use / misuse of data

Plan• Audiences, messages, channels?• Timeline?

Educate

Tuesday, November 29, 2011

Page 24: Making Data Talk

Understand audience’s use / misuse of data

Plan• Audiences, messages, channels?• Timeline?

Exceptional Case

Fallacy of small numbers;Tversky & Kahneman, 1971

Educate

Tuesday, November 29, 2011

Page 25: Making Data Talk

Understand audience’s use / misuse of data

Plan• Audiences, messages, channels?• Timeline?

Lives Saved from Seatbelt Use

Use Data to Correct Misperceptions

For Example

Tuesday, November 29, 2011

Page 26: Making Data Talk

Plan• Audiences, messages, channels?• Timeline?

SOURCE: http://alleydog.com/topics/sensation_and_perception.php

Perceptual Basics

Tuesday, November 29, 2011

Page 27: Making Data Talk

Cognitive / Perceptual Research

source: Carpenter PA, Shah P. A model of the perceptual and conceptual processes in graph comprehension. J Educ Psychol. 1999, 91(4): 690-702.

• Constructive process

• Gaze goes to center for pattern

• Contiguous labels for meaning

• Left to right tendency in western culture

• Perceptual rules guide meaning

Tuesday, November 29, 2011

Page 28: Making Data Talk

Cognitive / Perceptual Research

source: Carpenter PA, Shah P. A model of the perceptual and conceptual processes in graph comprehension. J Educ Psychol. 1999, 91(4): 690-702.

• Constructive process

• Gaze goes to center for pattern

• Contiguous labels for meaning

• Left to right tendency in western culture

• Perceptual rules guide meaning

Tuesday, November 29, 2011

Page 29: Making Data Talk

Cognitive / Perceptual Research

• Constructive process

• Gaze goes to center for pattern

• Contiguous labels for meaning

• Left to right tendency in western culture

• Perceptual rules guide meaning

Tuesday, November 29, 2011

Page 30: Making Data Talk

Cognitive / Perceptual Research

• Constructive process

• Gaze goes to center for pattern

• Contiguous labels for meaning

• Left to right tendency in western culture

• Perceptual rules guide meaning

Tuesday, November 29, 2011

Page 31: Making Data Talk

Visualizing Long Term Change

source: Carpenter PA, Shah P. A model of the perceptual and conceptual processes in graph comprehension. J Educ Psychol. 1999, 91(4): 690-702.

• Constructive process

• Gaze goes to center for pattern

• Contiguous labels for meaning

• Left to right tendency in western culture

• Perceptual rules guide meaning

source: Carpenter PA, Shah P. A model of the perceptual and conceptual processes in graph comprehension. J Educ Psychol. 1999, 91(4): 690-702.

• Constructive process

• Gaze goes to center for pattern

• Contiguous labels for meaning

• Left to right tendency in western culture

• Perceptual rules guide meaning

Hans Rosling's 200 Countries, 200 Years, 4 Minutes - The Joy of Stats - BBC Four

Tuesday, November 29, 2011

Page 32: Making Data Talk

Visualizing Long Term Change

• Constructive process

• Gaze goes to center for pattern

• Contiguous labels for meaning

• Left to right tendency in western culture

• Perceptual rules guide meaning

• Constructive process

• Gaze goes to center for pattern

• Contiguous labels for meaning

• Left to right tendency in western culture

• Perceptual rules guide meaning

Hans Rosling's 200 Countries, 200 Years, 4 Minutes - The Joy of Stats - BBC Four

Tuesday, November 29, 2011

Page 33: Making Data Talk

Plan• Audiences, messages, channels?• Timeline?

Frame

Social progress

Economic development/competitiveness

Morality/ethics

Scientific/technical uncertainty

Pandora ’ s box/Frankenstein’ s monster/runaway science

Public accountability/governance

Middle way/alternative path

Conflict/strategy

Tuesday, November 29, 2011

Page 34: Making Data Talk

Plan• Audiences, messages, channels?• Timeline?

Frame

Social progress

Economic development/competitiveness

Morality/ethics

Scientific/technical uncertainty

Pandora ’ s box/Frankenstein’ s monster/runaway science

Public accountability/governance

Middle way/alternative path

Conflict/strategy

“Selling Scientific Doubt”

Tuesday, November 29, 2011

Page 35: Making Data Talk

Plan• Audiences, messages, channels?• Timeline?

Frame

Social progress

Economic development/competitiveness

Morality/ethics

Scientific/technical uncertainty

Pandora ’ s box/Frankenstein’ s monster/runaway science

Public accountability/governance

Middle way/alternative path

Conflict/strategy

The “Truth” Campaign: American Legacy Foundation

“1200 People”

Persuade

Tuesday, November 29, 2011

Page 36: Making Data Talk

0%

10%

20%

30%

40%

50%

60%

70%

80%

Doctor Family orFriends

Radio Internet Television

2002-2003 2005 2008

Public’s Trust in Health Information Channels

Plan• Audiences, messages, channels?• Timeline?

http://hints.cancer.gov/

Tuesday, November 29, 2011

Page 37: Making Data Talk

Plan• Audiences, messages, channels?• Timeline?

http://hints.cancer.gov/

0%

5%

10%

15%

20%

25%

30%

35%

40%

45%

50%

Non-HispanicWhite

Hispanic Black /African

American

Other

Online Support Bloggers Social Networking

http://hints.cancer.gov/

25%

45%http://hints.cancer.gov/

30%

45%

Use highest among non-white

Use of Social Media (2008)

Tuesday, November 29, 2011

Page 38: Making Data Talk

Plan• Audiences, messages, channels?• Timeline?

Press Release

Media Outreach

UpdatedWeb

Presence

PersonalMedia

Media Outreach

Go to where the people are

Physician Outreach

Tuesday, November 29, 2011

Page 39: Making Data Talk

Organize• What is the evidentiary story?• What functions will data serve?

Plan• Audiences, messages, channels?• Timeline?

Test• User-centered design• Translational research

INtegrate• Within the bigger picture• In a practical way for users

Test• User-centered design• Translational research

Tuesday, November 29, 2011

Page 40: Making Data Talk

Test• User-centered design• Translational research

•Usability testing

•Focus groups

• Informal feedback

•Formative evaluation

•RCT’s

Tuesday, November 29, 2011

Page 41: Making Data Talk

Test• User-centered design• Translational research

Tuesday, November 29, 2011

Page 42: Making Data Talk

Organize• What is the evidentiary story?• What functions will data serve?

Plan• Audiences, messages, channels?• Timeline?

Test• User-centered design• Translational research

INtegrate• Within the bigger picture• In a practical way for users

INtegrate• Within the bigger picture• In a practical way for users

Tuesday, November 29, 2011

Page 43: Making Data Talk

INtegrate• Within the bigger picture• In a practical way for users

Tuesday, November 29, 2011

Page 44: Making Data Talk

INtegrate• Within the bigger picture• In a practical way for users

Tuesday, November 29, 2011

Page 45: Making Data Talk

INtegrate• Within the bigger picture• In a practical way for users• Within the bigger picture• In a practical way for users

Tuesday, November 29, 2011

Page 46: Making Data Talk

Inform Support Decisions

Educate Persuade

“Making Data Talk”Adapting to a World of Ubiquitous Data Systems

Tuesday, November 29, 2011

Page 47: Making Data Talk

Inform Support Decisions

Educate Persuade

“Making Data Talk”Adapting to a World of Ubiquitous Data Systems

Tuesday, November 29, 2011

Page 48: Making Data Talk

Inform Support Decisions

Educate Persuade

“Making Data Talk”Adapting to a World of Ubiquitous Data Systems

Tuesday, November 29, 2011

Page 49: Making Data Talk

Inform Support Decisions

Educate Persuade

“Making Data Talk”Adapting to a World of Ubiquitous Data Systems

Tuesday, November 29, 2011

Page 50: Making Data Talk

The Case of NOAA

“Making Data Talk”Adapting to a World of Ubiquitous Data Systems

Tuesday, November 29, 2011

Page 51: Making Data Talk

The Case of NOAA

“Making Data Talk”Adapting to a World of Ubiquitous Data Systems

Hesse, B. W. Overview to the Concept of Cyberinfrastructure for Health. First NIH-NSF sponsored seminar, La Jolla, CA, March 2008.

Government ensures data quality, provenance

Meteorologists innovate on communication to public

Tuesday, November 29, 2011

Page 52: Making Data Talk

The Participative WebHesse BW, Hansen D, Finholt T, Munson S, Kellogg W, Thomas JC. Social Participation in Health 2.0. IEEE Computer. 2010;43(11):45-52.

Participative media allows for community activation

The Case of NOAA

“Making Data Talk”Adapting to a World of Ubiquitous Data Systems

Tuesday, November 29, 2011

Page 53: Making Data Talk

Mobile Access: Always on, always proximal

The Case of NOAA

“Making Data Talk”Adapting to a World of Ubiquitous Data Systems

Tuesday, November 29, 2011

Page 54: Making Data Talk

Can we make data work to improve clinical practice?

Tuesday, November 29, 2011

Page 55: Making Data Talk

ClearPractice, Inc.

Can we make data work to improve clinical practice?

ClearPractice, Inc.

Shared Decision Making

Mobile Access to Data

Tuesday, November 29, 2011

Page 56: Making Data Talk

Can we make data work to improve community health?

The Health Data Initiative Forum, June 9, 2011

Tuesday, November 29, 2011

Page 57: Making Data Talk

BLS USDA CDCUSDAUSDA CDCCDC

Can we make data work to improve community health?

Tuesday, November 29, 2011

Page 58: Making Data Talk

Rates normalized on age per 100,000 male residents (gapminder.org)

Deaths from lung cancer: Men

Can we make data work to improve world health?

Tuesday, November 29, 2011

Page 59: Making Data Talk

Can we make data work to improve world health?

Tuesday, November 29, 2011

Page 60: Making Data Talk

Can we make data work to improve world health?

Tuesday, November 29, 2011

Page 61: Making Data Talk

Can we make data work to improve world health?

Thomas Friedman, Massachusetts Institute of Technology, May 16, 2005

Tuesday, November 29, 2011

Page 62: Making Data Talk

Can we make data work to improve world health?

Thomas Friedman, Massachusetts Institute of Technology, May 16, 2005

Thank you!

Tuesday, November 29, 2011