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Communicating Proteomic Science to Lay Audiences, Part II

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Title: Communicating Proteomic Science to Lay Audiences, Part II


1
Communicating Proteomic Science to Lay Audiences,
Part II
  • Katherine E. Rowan, Ph.D.
  • Carl Botan, Ph.D.
  • George Mason University
  • Krowan_at_gmu.edu
  • Presentation for the
  • BIO IT Coalition
  • at George Mason University
  • May 5, 2006

2
Explaining Complexities
  • Intuition says long, unfamiliar words and long
    sentences are obstacles to comprehension.
  • But research identifies three other frequent
    sources of confusion.
  • These confusion sources hamper both communication
    among experts in differing disciplines as well as
    expert-to-lay communication.

3
Deepening Understanding
  • When explaining to lay audiences, anticipate
    these three sources of confusion
  • Familiar words not well understood (protein,
    biotech, the human genome, translation)
  • Ideas hard-to-understand because hard to
    visualize (reactions, periodic table, clinical
    trial, R and D)
  • Ideas hard-to-understand because hard to believe
    (those with no family history of cancer are at
    risk women not currently sexually active at risk
    for cervical cancer)

4
Three Types of Explanation
  • Elucidating explanations elucidate or
    distinguish essential from associated meanings of
    key concepts.
  • Quasi-scientific explanations help audiences
    envision complex structures or processes.
  • Transformative explanations address and overcome
    lay theories (Rowan, 1999, 2003).

5
Clarifying Meaning of Key Terms
  • People need help distinguishing associated from
    essential meanings.
  • To help, use elucidating explanations
  • 1. Begin with familiar example.
  • 2. Define by ESSENTIAL meaning.
  • 3. Give a RANGE of examples, not just one.
  • 4. Give non-examples or say what something
    may seem to be but is NOT.

6
Example Elucidating Explanation
  • 1. Begin with the familiar.
  • a. Cancer drugs work for some people and not
    others. I do research to understand why.
  • b. We hear a lot about dietary fiber.
  • 2. Define by essential, not associated,
    meaning.
  • a. Proteomics involves the systematic
    evaluation of changes in the protein
    constituencies of the cell.
  • b. Translation is the final step on the way
    from DNA to protein (Nobelprize.org).

7
Example Elucidating Explanation (cont.)
  • 3. Give a range of varied examples, not a
    single example.
  • a. Petricoin and Liotta have identified more
    than 140 proteins in cancer cells . . . of the
    breast, ovary, prostate, and esophagus that
    change in amount as the cells in these tissue
    grow abnormally. . . .
  • b. Proteins perform many functions. Some are
    structural some store chemicals some act as
    signals (How genes work)

8
Example Elucidating Explanation (cont.)
  • 4. Discuss a nonexample, an entity that seems
    an example but is not. Say what something IS and
    what it is NOT.
  • a. Proteomics, the systematic evaluation of
    changes in the protein constituencies of the
    cell, is more than just lists of proteins The
    ultimate goal is to characterize the information
    flow within the cell and the organism.
  • b. Stringy meat is not dietary fiber fiber
    comes from plants.

9
Example Elucidating Explanation (cont.)
  • c. Genomics provides information on what MAY
    happen, while proteomics provides information on
    what IS happening. Almost all therapies are
    directed at modulating protein activity, NOT gene
    activity. All biomarkers measured in clinic are
    proteins, not genes. (Petricoin)

10
Transition to Quasi-scientific
  • Some times the obstacle thwarting comprehension
    is not key terms but complex structures,
    processes.
  • Research in educational psychology shows people
    comprehend complexities more fully and are better
    able to use information when explanations begin
    with a gist view, an analogy, a simple diagram.
  • Therefore, people need quasi-scientific
    explanations to help them picture structures,
    processes that are complex.

11
Hard-to-Envision Structures, Processes
  • Examples
  • Gene DNA Which is inside which?
  • The probability .01
  • Why study proteomicsthe big picture
  • How genes encode proteins
  • The periodic table

12
Promoting VisualizationQuasi-scientific
Explanation
  • Quasi-scientific explanations use headings,
    diagrams, and analogies to picture the complex
    (Rowan, 1999 Lipkus Holland, 1999 Schwartz et
    al., 1999).
  • Good quasi-scientific explanations present
    difficult-to-picture cancer risk information in
    several formats e.g., narratives of several
    patients outcomes, graphics depicting
    frequencies, graphics depicting biological
    processes.

13
Example Quasi-Scientific Explanation of Cancer
Risk
  • Research says lay audiences may prefer risk
    presented as frequencies rather than as
    probabilities (See Danziger, 2000 also Schwartz
    et al., 1999).

14
Example Promoting Visualization
  • People may struggle to understand your business
    because they cannot visualize research and
    development.
  • What steps are research? Whats development?
    What steps are you taking?

15
Example
  • For some, graphics may promote visualization
    better than numbers.
  • Your body works like a chemical wash each cell
    uses enzymes like detergents to clean up most
    chemicals. Some people HAVE the enzyme to
    clean up chemicals from cigarette smoke. Others
    do NOT. Your results show you do NOT have this
    enzyme (Lipkus, I.M., PI, Duke University,
    funded study)

16
Example Analogy Promoting Visualization
  • Research shows analogies promote both mastery and
    use of information.
  • Sample analogy from Petricoin
  • Genomics is like having a parts list for a 747
    but no information on how parts fit together
    Proteomics is BOTH the schematic drawing of how
    they fit AND the parts themselves.

17
Transition to Transformative
  • Some ideas contain no difficult concepts or terms
    and they are not difficult to envision.
  • Nevertheless, they are difficult because they are
    hard to believe.
  • Transformative explanations identify and overcome
    lay theories to explain science that seems
    counter-intuitive.

18
Explaining the Counter-intuitive
  • People have lay theories about familiar
    aspects of life e.g., disease, sex, heredity,
    etc.
  • Research on lay theories began in physics
    education (e.g., Hewson Hewson, 1983)
  • Examples of erroneous lay theories
  • Since Im not currently sexually active, Im not
    at risk for cervical cancer.
  • No history of cancer in my family, so I wont get
    it.
  • Genes are used when a baby develops from an
    embryo, and then never again.

19
Example Transformative Explanation
  • State the lay theory and acknowledge its apparent
    reasonableness
  • It may seem reasonable to assume that if there
    are no people in your family who have cancer,
    your chances of getting cancer are low.
  • Create dissatisfaction with the lay theory
  • Family history is one source of cancer risk, but
    there are other sources. Lifestyle factors like
    obesity and smoking are connected to cancer.
  • Explain the orthodox science
  • The best tool we have for fighting cancer is to
    detect it early, maybe even before it begins.
    Since early cancers may not cause symptoms, and
    since even people with no family history of
    cancer are at risk, you deserve access to cancer
    screenings.

20
Example Transformative Explanation
  • State lay theory acknowledge apparent
    reasonableness
  • Many people think that genes are used when a
    baby develops from an embryo and then never used
    again.
  • Create dissatisfaction with lay theory, then
    explain orthodox science
  • Genes are not like an instruction manual which
    the cell looks at once and then forgets. Genes
    are like an instruction manual used in the
    second-to-second running of the cell.
  • Cells constantly encounter new environments.
    Blood sugar levels drop, germs try to invade, and
    cells respond quickly. . . When the cell needs
    certain chemicals, it switches the right genes on
    and they are expressedwhat they encode is made.
    As you can see, genes have an active role in the
    second-to-second life of the cell. (excerpt from
    How genes work)

21
When Do You NOT explain?
  • Lectures are usually given when people are
    sitting down.
  • Explanations for lay audiences are often best
    presented in print, in brochures, in the Sunday
    supplement, on PBS.
  • When people just want a sentence or so, you need
    an elevator talk.

22
What IS an Elevator Talk?
  • Simple, non-technical explanation expressed on
    short elevator ride
  • Requires non-geeky, language
  • No notes or illustrations

23
Great Elevator Talks, 1
  • Great elevator talks are short
  • So whats personalized medicine?
  • Its about matching the right patient with the
    right drug, says Bryan Drucker of Oregon Health
    and Science.
  • We study why cancer drugs work for some people
    and not others. We are trying to understand how
    to tailor or personalize cancer drugs to
    individual patients. (Lance Liotta, George
    Mason)

24
Great Elevator Talks, 2
  • To increase comprehension, begin with the big
    picture
  • NOT We deal with pharma (could be mis-heard)
  • BUT rather Were a software company that helps
    scientists understand disease and ways to combat
    it.
  • Avoid acronyms and jargon (CROs, pharma)

25
Great Elevator Talks, 3
  • Connect to everyday experiences
  • Were a clinical research organization. Most
    people remember when they were in college and
    they read ads in the local paper looking for
    participants in some study. The ads said youd
    get 10 for participating, maybe beer money.
    Well, now clinical research organizations or CROs
    are a 40 billion industry (Pat Donnelly,
    President CEO PRA International, on Tommorows
    Business Radio)

26
Research to Be Done
  • Research needed on great explainers, how they
    develop, how to foster these skills.
  • Brochures, web sites, videos can all be content
    analyzed for the effectiveness of their
    explanatory text and visuals (Rowan, 2000).

27
Now Its YOUR Turn
  • Consider your pledge
  • (no tech talk to lay audience)
  • When you explain, focus on problems that
    matterin everyday life.
  • Avoid jargon.
  • Explain key terms.
  • Promote visualizing.
  • Address lay theories.

28
References
  • Danziger, K. (2000). How are breast and ovarian
    cancer inherited? From Genetic Health,
    www.genetichealth.com
  • Davis, T.C., et al., (2002). Health literacy and
    cancer communications. CA A cancer journal for
    clinicians, 52, 134-149.
  • Duncan, G. How to make your elevator talk a
    floor above the rest. Denver Business Journal,
    Feb. 11, 2005.
  • How genes work. From beingmrkenny.co.uk/archive/ev
    olution/genes
  • Hewson,P. W., Hewson, M. G. (1983). Effect of
    instruction using students prior knowledge and
    conceptual change strategies on science learning.
    Journal of Research in Science Teaching, 20.

29
References
  • Liotta, L., Kohn, E. C., Petricoin, E. F.
    (2001). Clinical proteomics, JAMA, 286.
  • Lipkus, I. M., Hollands, J. G. (1999). The
    visual communication of risk. Journal of the
    National Cancer Institute Monographs, 25.
  • Petricoin, E. Liotta, L. (2003). Clinical
    applications of proteomics. Journal of
    Nutrition, 133, 2476S-2484S.
  • Rang, H. P. The drug discovery process
    Elsevierhealth.com (visual in slide 14).
  • Rowan, K. E. (1999). Effective communication of
    uncertain science. In S. Friedman, et al.,
    Communicating uncertainty Media coverage of new
    and controversial science. Mahwah, NJ Erlbaum.

30
References
  • Rowan, K. E. (2000). Mass media explanations of
    illness. Whaley (Ed.), Explaining illness.
    Mahwah, NJ Erlbaum.
  • Rowan, K. E. (2003). Informing and explaining
    skills. In Greene Burleson, eds. Handbook of
    Communication and Social Interaction Skills.
    Mahwah, NJ Erlbaum.
  • Schwartz, L. M., Woloshin, S., Welch, H. G.
    (1999). Risk communication in clinical practice.
    Journal of the National Cancer Institute
    Monographs, No. 25, 124-133.
  • Witte, K. et al. (2001). Effective health risk
    messages A step-by-step guide. Thousand Oaks,
    CA Sage.
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