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The Diabetes Lobby (Dec-09)

Tell us what you think about certain public policies designed to reduce the incidence of diabetes in the US.

Please read this hypothetical news article and then answer a few questions at the end.

People with Diabetes Lobby Congress This Week

Washington, March 28 – About 1000 patients with type 2 diabetes (also commonly known as adult-onset or non-insulin-dependent diabetes) have converged here as advocates for the American Diabetes Association (ADA). They will be meeting with their members of Congress to discuss their condition and advocate for federal policies to address their disease. In addition, they will hold a rally on Thursday of this week on the National Monument grounds, to attract popular attention to their disease.
 
According to the Centers for Disease Control and Prevention, nearly 21 million Americans have diabetes, but one-third of these people do not yet know they have the disease. More than 90% of people with diabetes have type 2 diabetes, a form of diabetes which typically emerges when people are adults but which may develop during childhood. The number of people diagnosed with type 2 diabetes has been increasing every year. There were over 1 million new cases of diabetes diagnosed in 2005 among adults. Researchers believe that the conditions in the neighborhoods where people live increase their chances of getting type 2 diabetes. Rates of diabetes are highest among people living in poor neighborhoods.
 
People with type 2 diabetes develop a problem with the way their body secretes or responds to insulin, a hormone that regulates blood glucose levels. As a result, they have elevated blood sugar levels, which they must check multiple times per day and monitor their food intake. Researchers are working hard to understand more about what causes type 2 diabetes. Diabetes expert Dr. Howard Smith says, "People who live in neighborhoods where the majority of stores sell food with high calories and low nutritional value, such as fast food restaurants or convenience stores, are much more likely to develop diabetes." Several other scientific studies have supported the idea that people’s neighborhoods, including not having convenient or safe places to exercise, and being exposed to many advertisements selling high-calorie foods, are associated with the development of diabetes.
 
If left untreated, people with diabetes can become blind, have kidney damage, lose their limbs, or die. Physicians, health plans, employers, and policymakers are considering new ways to prevent diabetes, help patients manage their diabetes, and reduce this deadly epidemic. It is expected that the U.S. Senate Committee on Health, Education, and Labor will consider several bills about diabetes in the upcoming session of Congress.
 
Some people with diabetes check their blood sugar with a device called a glucometer.
 
Having read this news article, please tell us if you agree with the following policies:
 
The government should impose higher taxes on food high in calories and fat, like it does for cigarettes.
 
  • strongly disagree
  • disagree
  • neutral
  • agree
  • strongly agree
The government should provide financial incentives to encourage grocery stores to locate in areas where there are few.
 
  • strongly disagree
  • disagree
  • neutral
  • agree
  • strongly agree
The government should regulate advertisements for junk food like it does for cigarettes and alcohol.
 
  • strongly disagree
  • disagree
  • neutral
  • agree
  • strongly agree

Generally speaking, do you usually think of yourself as a Republican, a Democrat, an Independent, or what?

  • Strong Democrat
  • Not so strong Democrat
  • Independent, close to Democrat
  • Independent
  • Independent, close to Republican
  • Not so strong Republican
  • Strong Republican
  • Don't know, haven't thought much about it

How you answered: 

Researchers affiliated with CBDSM and the School of Public Health have found that "Americans' opinions about health policy are polarized on political partisan lines. Democrats and Republicans differ in the ways that they receive and react to messages about the social determinants of health."

In the study, lead author Sarah Gollust, PhD, randomly assigned participants to read one of four hypothetical news articles about type 2 diabetes. Diabetes was used as an example of a common health issue that is widely debated and that is known to have multiple contributing factors, including genetic predisposition, behavioral choices, and social determinants (such as income or neighborhood environments).

The articles were identical except for the causal frame embedded in the text. The article that you read in this Decision of the Month presented social determinants as a cause for type 2 diabetes. Other versions of the article presented genetic predisposition or behavioral choices as a cause for type 2 diabetes, and one version had no causal language.

Dr. Gollust then asked the study participants their views of seven nonmedical governmental policies related to the environmental, neighborhood, or economic determinants of diabetes:

  • bans on fast food concessions in public schools
  • incentives for grocery stores to establish locations where there are currently few
  • bans on trans fat in restaurants
  • government investment in parks
  • regulating junk food advertisements
  • imposing taxes on junk foods
  • subsidizing the costs of healthy food

Dr. Gollust also asked participants their political party identification and a number of other self-reported characteristics.

The most dramatic finding of this study was that the news story with the social determinants as a cause for type 2 diabetes had significantly different effects on the policy views of participants, depending on whether they identified themselves as Democrats or Republicans. After reading the social determinants article, Democrats expressed a higher level of support for the proposed public health policies. Republicans expressed a lower level of support for the proposed public health policies. This effect occurred only in the group of participants who were randomly assigned to read the version of the news article with social determinants given as a cause for type 2 diabetes. Dr. Gollust summarizes: "Exposure to the social determinants message produced a divergence of opinion by political party, with Democrats and Republicans differing in their opinions by nearly 0.5 units of the 5-point scale."

The study suggests several possible explanations for these results:

"First, the social determinants media frame may have presumed a liberal worldview to which the Republican study participants disagreed or found factually erroneous (ie, not credible), but with which Democrats felt more comfortable or found more familiar. . . Second, media consumption is becoming increasingly polarized by party identification, and . . . the social determinants message may have appeared particularly biased to Republicans. . .Third, the social determinants frame may have primed, or activated, study participants' underlying attitudes about the social group highlighted in the news article. . . Fourth, participants' party identification likely serves as proxy for . . . values held regarding personal versus social responsibility for health."

Dr. Gollust and her colleagues conclude that if public health advocates want to mobilize the American public to support certain health policies, a segmented communication approach may be needed. Some subgroups of Americans will not find a message about social determinants credible. These subgroups value personal responsibility and find social determinants antagonistic to their worldview. To avoid triggering immediate resistance by these citizens to information about social determinants of health, public health advocates may consider the use of information about individual behavioral factors in educational materials, while working to build public familiarity with and acceptance of research data on social determinants.

For more details about this study:

Gollust SE, Lantz PM, Ubel PA, The polarizing effect of news media messages about the social determinants of health, Am J Public Health 2009, 99:2160-2167.
 

 

Funded by Health and Human Services, Department of-National Institutes of Health

Funding Years: 2014 - 2016.

Mexican Americans (MAs) suffer more from stroke than non-Hispanic whites (NHWs). Ischemic stroke is more common in MAs and their neurologic, functional and cognitive outcomes after stroke are worse than in NHWs. The reasons for the disparity in post-stroke outcome are unclear. Pre-stroke function and initial stroke severity are similar between the two groups as are ischemic stroke sub-types. One potential explanation for the worse post-stroke neurologic, functional and cognitive outcome in MAs compared with NHWs is allocation and effectiveness of post-stroke rehabilitation. There is remarkably little data demonstrating whether rehabilitation is dosed differently for MAs compared with NHWs, and still less information about whether, for a given dose of rehabilitative services following stroke, there is differential benefit by ethnicity. The current application will utilize the existing population-based Brain Attack Surveillance in Corpus Christi (BASIC, NSR0138916) project's infrastructure and strong community relations to develop and pilot a method to collect the necessary data to determine the role of rehabilitation in ethnic disparities in post-stroke outcomes. Previous studies have suggested that looking at overall time spent in rehabilitation does not predict post-stroke outcome. However, specific components of physical, occupational and speech therapy, a practice-based approach, has been shown to be associated with stroke outcomes, and these associations have been shown to vary by race. However, this practice-based approach has not been implemented in a population-based manner across the range of settings where stroke patients receive rehabilitation services, and no study has used this approach in an ethnically diverse population. Therefore, our plan is to build on previous work by developing and utilizing a practice-based design in our population-based stroke study. Specifically, we will 1) continue to build the needed relationships with rehabilitation service providers in the community;2) work with local rehabilitation therapists to refine data collection instruments as part of the practice-based design;3) pilot test data collection of specific rehabilitation components of post-stroke rehabilitation across all rehabilitation settings;and 4) analyze this data to determine the feasibility of this approach for a larger study and to provide preliminary data on differences in access and effectiveness by ethnicity. In total, our infrastructure development, refinement of tools to measure specific therapy modalities and pilot testing will position us perfectly to submit an R01 application to identify ethnic differences in access to rehabilitation and specific rehabilitation services associated with improved functional outcome in MAs and NHWs.

PI(s): Lynda Lisabeth, Lewis Morgenstern

Ken Langa, MD, PhD

Faculty

Dr. Langa is the Cyrus Sturgis Professor in the Department of Internal Medicine and Institute for Social Research, a Research Scientist in the Veterans Affairs Center for Clinical Management Research, and an Associate Director of the Institute of Gerontology, all at the University of Michigan. He is also Associate Director of the Health and Retirement Study (HRS), a National Institute on Aging funded longitudinal study of 20,000 adults in the United States ( http://hrsonline.isr.umich.edu ).

Last Name: 
Langa

Kathryn Moseley served as one of the judges at "The Big Ethical Question Slam 5" hosted by a2ethics.org. In addition, Naomi Laventhal, Michele Gornick, Christian Vercler, Lauren Smith, and Lauren Wancata served as judges at the "Michigan Highschool Ethics Bowl 2."

Thanks to all the CBSSM folks who contributed their time!

For more information about these events and other great ethics-related activites, go to a2ethics.org.

A short video about the Highschool Ethics Bowl can be found here.

Please visit the events page of the CBSSM website to view the video of the February 1, 2012, talk and panel discussion, "Ethical Imperialism: The Case Against IRB Review of the Social Sciences," featuring Dr. Zachary Schrag of George Mason University; Dr. Cleo Caldwell of U-M's School of Public Health; Dr. Alford Young, Jr., of U-M's College of Literature, Science, & Arts; and Carl Schneider of U-M's Law School.

Reshma Jagsi will be a Keynote Speaker at “Strategies to Empower Women to Achieve Academic Success," which will be held June 7th (8:30 a.m. – 11 a.m., A. Alfred Taubman Biomedical Science Research Building). The event is sponsored by the A. Alfred Taubman Medical Research Institute.

Click here for more details.

Research Topics: 

CBSSM's Elias Baumgarten, Raymond De Vries, Kayte Spector-Bagdady, Michele Gornick, & Adam Marks (no pictured) were judges at the 2017 A2Ethics High School Ethics Bowl January 28-29th. Click here for more details about this event.


Research Topics: 

Andrew Shuman and Christian Vercler are both contributors to the January issue of the American Medical Association's Journal of Ethics. Drs. Shuman and Vercler both provide commentaries related to challenging ethical cases.


The link to the issue can be found here.

How much will chemotherapy really help you? (Dec-08)

After breast cancer surgery, additional treatments such as chemotherapy can reduce the risk of cancer coming back. But do women understand how much (or little) benefit chemotherapy provides? Imagine that you're a woman who has recently been diagnosed with breast cancer and then had the cancerous breast tumor surgically removed. While you're at an appointment about 3 weeks after your surgery, your doctor says the following to you:

"Sometimes cancer cells remain after surgery and start to grow again. To try to prevent your cancer from growing again, you should consider having some additional treatment.

"One of our test results shows that you have a type of cancer that is estrogen receptive (ER) positive. This means that your cancer needs the hormone estrogen in order to grow.

"Because you have an ER-positive tumor, you should have hormonal therapy to block estrogen and make it harder for any remaining cancer cells to grow. Hormonal therapy is usually in pill form. It does not cause hair loss or fatigue and generally has very few short-term side effects. You'll start to take hormonal therapy after all other treatments are finished and continue to take it for at least 5 years.

"Although it's clear that you should have hormonal therapy, you'll still need to make a choice about chemotherapy treatments. You could decide to have additional chemotherapy treatments for several months before starting the hormonal therapy. Sometimes, adding chemotherapy can make a big difference in decreasing the risk of dying from cancer. Other times, there's almost no benefit from adding chemotherapy.

"If you decide to have chemotherapy, you'll have 2 to 4 months of fatigue, nausea, hair loss, and other side effects. You'll also face a small risk (less than 1% or less than 1 in 100) of getting a serious infection, a bleeding problem, heart failure, or leukemia. Only you can decide if the benefit of adding chemotherapy to hormonal therapy is worth the risks and side effects."

Next, your doctor shows you a graph that may help you to decide about chemotherapy.

Your doctor says, "The graph below may help you decide if the risk reduction you would get from adding chemotherapy is worth the side effects and risks that the chemotherapy would cause.

  • The green part shows the chance that you'll be alive in 10 years.
  • The red part shows the chance that you'll die because of cancer.
  • The blue part shows the chance that you'll die from other causes.
  • The yellow part shows how much your chance of being alive in 10 years would increase if you add a therapy.
"Remember, given your situation, I think you should definitely take hormonal therapy. What you need to decide is whether to take both chemotherapy and hormonal therapy."
 
In interpreting this graph, imagine that there are two groups of 100 women each. All of these women have the same type of cancer as your hypothetical cancer.
  • The first group all decides to take hormonal therapy only.
  • The second group all decides to take both chemotherapy and hormonal therapy

How many fewer women will die from cancer in the second group, as compared with the first group?

Your doctor continues, "Now, here is another graph that shows the same information in a different way. As before,

  • The green part shows the chance that you'll be alive in 10 years.
  • The red part shows the chance that you'll die because of cancer.
  • The blue part shows the chance that you'll die from other causes.
  • The yellow part shows how much your chance of being alive in 10 years would increase if you add a therapy.
Now we asked you to consider the following question:
How many fewer women will die from cancer in the second group, as compared with the first group?
Do you want to change your answer?
 

About the study

Many participants who saw this graph in a study conducted by CBDSM researchers had similar problems. However, when study participants saw GRAPH B (with the two pictographs), many more were able to correctly calculate the difference.

The CBDSM study compared tools intended to help cancer patients make informed decisions about additional therapies (also called "adjuvant" therapies). The 4 horizontal stacked bars were taken from an online tool called "Adjuvant!" that is often used by physicians to explain risk to cancer patients. The researchers compared comprehension of risk statistics from horizontal bars and from a pictograph format.

They found that study participants who viewed a 2-option pictograph version (GRAPH B in this Decision of the Month) were more accurate in reporting the risk reduction achievable from adding chemotherapy to hormonal therapy for the hypothetical cancer scenario. With GRAPH B, 77% of participants could identify that 2 fewer women out of 100 would die from cancer with both chemotherapy and hormonal therapy. With the 4 horizontal bars (GRAPH A), only 51% of participants could make this calculation. Participants who saw GRAPH B were also much faster at answering this question than participants who saw GRAPH A.
In addition, participants in this study strongly preferred the format of the pictograph you saw (GRAPH B) to the bar graphs you saw (GRAPH A).
The researchers comment:
"While decision support tools such as Adjuvant! use graphical displays to communicate the mortality risks that patients face with different adjuvant therapy options, our research shows that women had difficulty interpreting the 4-option horizontal bar graph format currently used by Adjuvant!. Two simple changes, displaying only risk information related to treatment options that included hormonal therapy...and using pictographs instead of horizontal bars, resulted in significant improvements in both comprehension accuracy and speed of use in our demographically diverse sample....The results...support the concept that simpler information displays can make it easier for decision makers to implement optimal decision strategies. Specifically, focusing patients' attention on those treatment options currently under consideration while removing information related to options which have been already eliminated from consideration (for medically appropriate reasons) may be particularly beneficial. In the context of adjuvant therapy decisions, such an approach would imply that clinicians should discuss the decision in two stages: A first stage in which hormonal therapy is considered and a second stage in which the incremental benefit of chemotherapy is evaluated...Adjuvant! and other online risk calculators enable oncologists and patients to receive individually tailored estimates of mortality and recurrence risks, information that is essential to informed decision making about adjuvant therapy questions. Yet, the full potential of these modeling applications cannot be realized if users misinterpret the statistics provided."
 
Read the article:
Zikmund-Fisher BJ, Fagerlin A, Ubel PA. Cancer 2008;113(12):3382-3390.

 

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