Title: Communicating Proteomic Science to Lay Audiences, Part II
1Communicating 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
2Explaining 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.
3Deepening 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)
4Three 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).
5Clarifying 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.
6Example 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). -
-
7Example 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)
8Example 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.
9Example 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)
10Transition 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.
11Hard-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
12Promoting 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.
13Example 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).
14Example 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?
15Example
- 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)
16Example 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.
17Transition 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.
18Explaining 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.
19Example 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.
20Example 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)
21When 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.
22What IS an Elevator Talk?
- Simple, non-technical explanation expressed on
short elevator ride - Requires non-geeky, language
- No notes or illustrations
23Great 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)
24Great 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)
25Great 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)
26Research 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).
27Now 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.
28References
- 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.
29References
- 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.
30References
- 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.