Andrew G. Shuman, MD is an Assistant Professor in the Department of Otolaryngology - Head and Neck Surgery at the University of Michigan Medical School. He is also the Chief of the ENT Section of the Surgery Service at the VA Ann Arbor Health System. He is a service chief of the Clinical Ethics Service in the Center for Bioethics and Social Sciences in Medicine (CBSSM). His current research interests explore ethical issues involved in caring for patients with head and neck cancer, and in managing clinical ethics consultations among patients with cancer.
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Dr. Sarah T. Hawley is a Professor in the Division of General Medicine at the University of Michigan and a Research Investigator at the Ann Arbor VA Center of Excellence in Health Services Research & Development. She holds a PhD in health services research from the University of North Carolina and an MPH from Yale University Department of Public Health. Her primary research is in decision making related to cancer prevention and control, particularly among racial/ethnic minority and underserved populations.
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
- strongly disagree
- strongly agree
- strongly disagree
- strongly agree
- strongly disagree
- 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, 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:
Funded by: NIH
Funding Years: 2016-2021
There is a fundamental gap in understanding how Mild Cognitive Impairment (MCI) influences treatment and Decision Making for serious illnesses, like Cardiovascular disease (CVD), in older patients. Poor understanding of Clinical Decision Making is a critical barrier to the design of interventions to improve the quality and outcomes of CVD care of in older patients with MCI. The long-term goal of this research is to develop, test, and disseminate interventions aimed to improve the quality and outcomes of CVD care and to reduce CVD-related disability in older Americans with MCI. The objective of this application is to determine the extent to which people with MCI are receiving sub-standard care for the two most common CVD events, Acute myocardial infarction (AMI) and acute ischemic stroke, increasing the chance of mortality and morbidity in a population with otherwise good quality of life, and to determine how MCI influences patient preferences and physician recommendations for treatment. AMI and acute ischemic stroke are excellent models of serious, acute illnesses with a wide range of effective therapies for acute management, Rehabilitation, and secondary prevention. Our central hypothesis is that older Adults with MCI are undertreated for CVD because patients and physicians overestimate their risk of dementia and underestimate their risk of CVD. This hypothesis has been formulated on the basis of preliminary data from the applicants' pilot research. The rationale for the proposed research is that understanding how patient preferences and physician recommendations contribute to underuse of CVD treatments in patients with MCI has the potential to translate into targeted interventions aimed to improve the quality and outcomes of care, resulting in new and innovative approaches to the treatment of CVD and other serious, acute illnesses in Adults with MCI. Guided by strong preliminary data, this hypothesis will be tested by pursuing two specific aims: 1) Compare AMI and stroke treatments between MCI patients and cognitively normal patients and explore differences in Clinical outcomes associated with treatment differences; and 2) Determine the influence of MCI on patient and surrogate preferences and physician recommendations for AMI and stroke treatment. Under the first aim, a health services research approach- shown to be feasible in the applicants' hands-will be used to quantify the extent and outcomes of treatment differences for AMI and acute ischemic stroke in older patients with MCI. Under the second aim, a multi-center, mixed-methods approach and a national physician survey, which also has been proven as feasible in the applicants' hands, will be used to determine the influence of MCI on patient preferences and physician recommendations for AMI and stroke treatment. This research proposal is innovative because it represents a new and substantially different way of addressing the important public health problem of enhancing the health of older Adults by determining the extent and causes of underuse of effective CVD treatments in those with MCI. The proposed research is significant because it is expected to vertically advance and expand understanding of how MCI influences treatment and Decision Making for AMI and ischemic stroke in older patients. Ultimately, such knowledge has the potential to inform the development of targeted interventions that will help to improve the quality and outcomes of CVD care and to reduce CVD-related disability in older Americans.