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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.


Is your well-being influenced by the guy sitting next to you? (Nov-03)

Rating your satisfaction with your life may not be a completely personal decision. See how your satisfaction rating may be influenced by others.

When answering this question, imagine that there is someone in a wheelchair sitting next to you. They will also be answering this question, but you will not have to share your answers with each other.

How satisfied are you with your life in general?

Extremely satisfied 1       2       3       4       5       6       7       8       9       10 Not at all satisfied

How do you compare to the people surveyed?

You gave your life satisfaction a rating of 1, which means that you are extremely satisfied with your life. In a study done where people with a disabled person sitting next to them wrote down their life satisfaction on a questionnaire, they gave an average life satisfaction rating of 2.4, which means they were very satisfied with their lives.

What if you'd had to report your well-being to another person instead of writing it down?

In the study, half the people had to report their well-being in an interview with a confederate (a member of the research team who was posing as another participant). When the participants had to report in this way, and the confederate was not disabled, the participants rated their well-being as significantly better than those who reported by writing it on the questionnaire in the presence of a non-disabled confederate (2.0 vs. 3.4, lower score means higher well-being). The scores given when reporting to a disabled confederate elicited a well-being score that was no different than that when completing the questionnaire in the presence of a disabled confederate (2.3 vs. 2.4).

Mean life satisfaction ratings, lower score means higher satisfaction
Mode of rating well-being Disabled confederate Non-disabled Confederate
Interview (public) 2.3 2.0
Questionnaire (private) 2.4 3.4
What caused the difference in well-being scores?

When making judgments of well-being, people (at least in this study) tend to compare themselves to those around them. This effect is seen more when well-being was reported in an interview than when the score was privately written down, due to self-presentation concerns. A higher rating was given in public so as to appear to be better off than one may truly feel. Note that the effect was only seen in the case where the confederate was not disabled. While well-being ratings were better overall with a disabled confederate, there was no difference between the private and public ratings. Social comparison led to a better well-being judgment, but it appears that the participants were hesitant to rate themselves too highly in front of the disabled person for fear of making the disabled person feel worse.

Why is this important?

Subjective well-being is a commonly used measure in many areas of research. For example, it is used as one way to look at the effectiveness new surgeries or medications. The above studies show that SWB scores can vary depending on the conditions under which they are given. Someone may give a response of fairly high SWB if they are interviewed before leaving the hospital, surrounded by people more sick than they are. From this, it would appear as though their treatment worked great. But suppose that they are asked to complete a follow-up internet survey a week later. Since they do not have to respond to an actual person face-to-face, and without being surrounded by sick people, they may give a lower rating than previously. Is this because the treatment actually made their SWB worse over the longer term, or simply because a different method was used to get their response? The only way to really know would be to use the same methodology to get all their responses, which might not always be feasible. These are important considerations for researchers to keep in mind when analyzing results of their studies. Are the results they got the true SWB of their participants, or is it an artifact of how the study was done? And is there a way to know which measure is right, or are they both right which would lead to the conclusion that SWB is purely a momentary judgment based on a social context?

For more information see:

Strack F, Schwarz N, Chassein B, Kern D, Wagner D. Salience of comparison standards and the activation of social norms: Consequences for judgements of happiness and their communication. British Journal of Social Psychology. 29:303-314, 1990.

Michael Volk, MSc, MD


Michael Volk was an Assistant Professor of Medicine in the Division of Gastroenterology and Hepatology at the University of Michigan. His clinical practice focuses on the care of patients with liver disease, including those undergoing liver transplantation and those with hepatocellular carcinoma. His research interests focus on the ethics of resource allocation, patient and physician decision making, and chronic disease management. In particular, he has conducted a series of studies designed to improve the way decisions are made about using high risk liver transplant organs.

Last Name: 

Jacquelyn Miller, MA

Research Associate

Jackie re-joined CBSSM in spring of 2017. She currently works with Drs. Lesly Dossett and Tom Valley on projects related to the worries and concerns of those with loved ones in the ICU, feedback and disclosure of errors that have occurred in other hospital systems, and opioid prescribing after cancer surgery. She has a BS in Environmental Policy and Developing Country Studies (University of Michigan, School of Natural Resources and Environment) and a MA in Sociology, specializing in environmental justice, feminist sociology, and science and technology studies (Michigan State University).

Last Name: 

Dr. Jeremy Sussman spoke at the Michigan Center for Diabetes Translational Research (MCDTR) Symposium. The MCDTR held its annual symposium on May 6, featuring a keynote presentation by Dr. Elbert Huang. This year the symposium was held at NCRC, Building 10 Auditorium (presentations) and building 18, lower level dining area (for poster session and buffet lunch). There was a poster presentation area where one can view the displays during and after lunch. RSVP to Pam Campbell at

MD vs. WebMD: The Internet in Medical Decisions (Dec-10)

With just a simple search term and a click of the mouse, a person can find a large amount of health information on the Internet. What role does the Internet play in how patients make medical decisions? Does using the Internet as a source for information to help patients make informed decisions vary by health condition? Does the Internet substitute for detailed discussions with a health care provider?

Consider the following:

Imagine that you recently visited your health care provider for an annual physical examination. During the exam your doctor told you that you are at the age where you should start thinking about getting a screening test for colon cancer. In this conversation your health care provider explained some of the reasons why you should get screened. At the end of the visit, you had more information about screening tests for colon cancer but had not yet decided whether or not you wanted to get tested.

As you think about how you would make a decision about whether or not to get screened for colon cancer:
How important is your health care provider as a source of information about screening tests for colon cancer?
Not at all important (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) Extremely important
Would you use, or have someone else use for you, the Internet to find information on screening tests for colon cancer?
  • Yes
  • No
  • Don't know
How important is the Internet as a source of information screening tests for colon cancer?
Not at all important (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) Extremely important

How do your answers compare?

In a recent study published in the journal Medical Decision Making, CBSSM investigators Brian Zikmund-FisherMick Couper, and Angela Fagerlin examined Internet use and perceived importance of different sources of information by patients making specific medical decisions.

In this study, US adults aged 40 years and older were asked about how they got information about 9 common medical decisions, including decisions about common prescription medication (for high blood pressure, cholesterol, and depression), cancer-screening tests (for colorectal, breast, and prostate cancer), and elective surgeries (for lower back pain, cataracts, and knee/hip replacement). In addition, they study compared participants' ratings of the Internet as a source of information with their ratings of other sources, such as their health care provider.

So, how did your responses compare to the average adult in this study's population?

Results from this study showed that most patients did not use the Internet to make specific medical decisions like the ones you considered. On average, about 26% of participants made use of the Internet for information to make decisions about colon cancer screening tests and about 47% used it to inform a decision about lower back pain surgery.

Among participants who chose to use the Internet for finding information about specific medical decisions, data show that Internet use varies significantly across different types of medical decisions. Internet users were more likely to use the Internet for information related to elective surgery (36%), such as lower back pain surgery, and prescription medication (32%) than for cancer-screening decisions (22%), such as colon cancer screening.

Another element of this study looked at participants' ratings of different information sources. You are unlike other participants in this study in that you did not consistently rate health care providers as the most important source for information about colon cancer screening and lower back pain surgery. The CBSSM study found that, for both Internet users and nonusers, health care providers were rated highest as a source for information for all 9 decisions studied. Among Internet users, however, the Internet was rated as their 2nd-most important source of information.

The researchers found that Internet use to inform specific medical decisions varied by age ranging from 38% for those aged 40 to 49 years to 14% for those aged 70 years or older. Approximately 33% of 50 to 59 year olds used the Internet to make these medical decisions and 24% for those in the 60 to 69 year age category. This result is consistent with previous research on the demographics of Internet use.

The study authors concluded that the Internet has an impact on people's access to health care information; however, "the data suggest that access is not the same as use, and use for one medical decision does not imply use for all health decisions." In other words, people use the Internet differently depending on the context. The authors end by stating, "Clinicians, health educators, and health policy makers need to be aware that we remain a long way away from having Internet-based information sources universally used by patients to improve and support the process of medical decision making."

For the full text of this article:

Couper M, Singer E, Levin CA, Fowler F, Fagerlin A, Zikmund-Fisher BJ. Use of the internet and ratings of information sources for medical decisions: Results from the DECISIONS survey. Medical Decision Making 2010;30:106S-114S.


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: 
Mon, June 11, 2018

A new study shows how to personalize the lung cancer screening decision for every patient. The results could help doctors fine-tune their advice to patients, so that it’s based not just on a patient’s individual lung cancer risk and the potential benefits and harms of screening, but also a likely range of patient attitudes about looking for problems and dealing with the consequences.

Published in the Annals of Internal Medicine, the study forms the backbone for new free online decision tools aimed at physicians and their teams, and at members of the public. tool for clinicians, called Lung Decision Precision, was designed by a University of Michigan and Veterans Affairs team to help clinicians talk with patients and their loved ones about whether to a lung CT scan might be a good idea for them.

The same team has also launched a website for patients and their loved ones,, that gives easy-to-understand information about the positives and potential negatives of lung cancer screening, and allows individuals to calculate their personal risk of lung cancer.

Tanner Caverly, M.D., M.P.H., led the team that did the new computer-based simulation analysis using data from major studies of lung cancer screening, and national data on the potential screening population under the current guidelines.

Supporting information for: 2015 CBSSM Research Colloquium and Bishop Lecture (Lawrence O. Gostin, J.D., LL.D Hon.)

Natalie Bartnik, MPH, Research Associate, HBHE Genetics Research Group, UM School of Public Health: "Why, how and when oncologists disclose genome sequencing results in clinical practice"

Abstract: Integrating an individual’s clinical history with genome sequencing data can inform diagnostic and treatment strategies tailored to the patient’s mutational landscape. In oncology, precision medicine offers the additional opportunity to characterize novel gene targets for patients with cancer who lack known or viable targets. It is not known whether oncologists communicate sequencing results to patients, or how and why oncologists integrate sequencing profiles into clinical practice. In a survey of 43 oncologists who referred 111 patients to the MIONCOSEQ Study, we found that nearly a quarter of oncologists planned to make changes to their patient’s treatment based on genomic findings. Prominent barriers to the integration of sequencing results into clinical practice were a lack of findings with perceived clinical significance, as well as limitations in locally available clinical trials. The majority of physicians planned to communicate sequencing results to their patients, mostly via in-person clinic visits.

Michele Gornick, PhD, MICHR PTSP Postdoctoral Fellow, VA HSRD Fellow & CBSSM Research Investigator: "Information and deliberation make a difference: The public’s preferences for the return of secondary genomic findings"

Abstract: As genome sequencing becomes a part of clinical practice, how best to disclose sequencing results –including secondary findings-- raises significant issues. Expert consensus panels have been convened to provide recommendations, but what do members of the public want? In order to address this gap, we organized a deliberative democracy (DD) session to educate members of the public on genome sequencing, to engage them in dialogue about the benefits and risks of the clinical implementation of this technology, and to elicit their informed perspectives about policies governing the return of secondary findings. A significant shift in participants’ perspectives on the disclosure of adult onset conditions from the baseline survey, that remained stable after a month follow-up (response rate = 87%; Χ2(1, N=60) = 4.26, p =0.039), suggests the value of education and deliberation for the appreciation of the scientific and ethical complexities of genome sequencing.

Aaron Scherer, PhD, CBSSM Postdoctoral Fellow: "Elephants, Donkeys, and Medicine: Political Differences in Health Risk Perceptions and Adherence to Medical Recommendations"

The relationship between political ideology and health is often relegated to discussions of health care policy. But what if political ideology affects much more than health care policy preferences? I will discuss two studies that provide some initial evidence that political ideology influences our perceptions of health risks and adherence to medical recommendations. In one study examining risk communication strategies, political ideology was related to differences in perceptions of Ebola and influenza risk, as well as willingness to vaccinate against these two infectious diseases. In a second study examining beliefs in medical conspiracies, political ideology was related to differences in self-reported adherence to doctor’s recommendations and prescription use. The psychological differences between conservatives and liberals that may help illuminate why these differences exist will be discussed.

Stephanie Kukora, MD and Nathan Gollehon, MD, Fellows, Division of Neonatal-Perinatal Medicine, Department of Pediatrics, UM Mott Children’s Hospital: "Epidemiology of outpatient prenatal consultation: implications for decision-making and perinatal outcomes"

Abstract: Neonatologists provide anticipatory guidance and support decision-making for complicated pregnancies, in which poor/ambiguous prognostication can lead to over-/under-treatment.  Referral to antenatal palliative care consultation (PCC) is not standard; little is known about the basis for referral, and their role in perinatal decision-making.

117 women had outpatient neonatology consultation, with decision-making for 146 fetuses with multiple anomalies/genetic, single major anomaly, or obstetric complications. 18(12%) were given a prognosis of uniform non-survival and 41(28%) had anticipated survival with intervention. Remaining fetuses were given unknown prognoses 87(60%), some qualified “likely survivable” 17(12%) or “likely poor” 33(23%). Most prognoses aligned with outcomes, though outcomes were better than predicted in 3(2%) infants and worse in 10(7%).  Mismatches between prognosis and decision occurred in 10(7%) infants who were provided resuscitation despite “non-survival” or “likely poor” prognoses.

23 (19.7%) of the 117 mother/fetus pairs received antenatal PCC.  Prognoses included: 11(48%) non-survivable, 11(48%) unknown but likely poor, 1(4%) survivable with surgical intervention. Fetal/neonatal outcome included: fetal demise 5(22%), in-hospital death 16(70%), survival to discharge 2(9%). 22 maternal/fetal pairs with 3(13%) non-survivable and 19(86%) likely poor prognoses were not referred, but had similar outcomes: fetal demise 4(18%), in-hospital death 15(68%), survival to discharge 3(14%). Those with PCC were more likely to choose comfort-care than those without (61% vs. 18%, p < 0.01). Of non-survivors, 94% with PCC died within 4 days while 27% without PCC received >14 days of intensive care.

We identified relatively few cases of mismatch between prognosis and outcome; however, rare cases of prognostic failure warrant caution. Although allowing parents to pursue aggressive neonatal care respects autonomy, it may delay rather than prevent death. Long-term outcomes with and without PCC were similar for infants with poor prognoses, though non-survivors with PCC were more likely to have a comfort care plan and shorter time to in-hospital death.

Minnie Bluhm, PhD, MPH, Assistant Professor, School of Health Sciences, Eastern Michigan University: "Oncologists' decisions about administering late chemotherapy: What makes it so difficult?"

Abstract: Background. An estimated 20-50% of incurable cancer patients receive chemotherapy in the last 30 days of life, although little data support this practice.  Continued use of chemotherapy typically precludes hospice enrollment.  It may also result in more symptoms, increased use of aggressive treatments, and worsening quality of life.  Despite this, few studies have explored oncologists' rationales for administering chemotherapy during the last weeks of life.  The purpose of this study is to examine factors that oncologists report influence their decisions about late chemotherapy.

Methods. In-depth individual interviews were conducted with 17 oncologists using a semi-structured interview guide.  Interviews were audio-recorded and transcribed verbatim.  Transcripts were coded and content analyzed for themes and patterns.

Results.  Three key findings emerged.  1) Clinical factors drive oncologists’ late chemotherapy decisions when they point to clear treatment choices, along with patient preferences.  When clinical factors are ambiguous, non-clinical factors become more salient.  2) Late chemotherapy is patient-driven.  It is used to palliate physical and emotional symptoms and maintain patient hope, even when physical benefit is not expected.  3) Caring for dying patients is difficult and impacts oncologists and their treatment decisions.  Difficulties also cited as influences favoring treatment include: emotional exhaustion, difficulty communicating about stopping or not starting chemotherapy, overwhelming sense of responsibility for life and death, feeling badly about the limits of oncology to heal, and prognostic uncertainty.

Conclusions.  Findings reveal a nuanced understanding of why it can be so difficult for oncologists to refuse chemotherapy to patients near death.  Doing so adds to the existing burden of caring for dying patients.  Therefore, at times, oncologists prescribe chemotherapy to simply help everyone feel better, regardless of expected clinical benefits or costs.  Future work is needed on the impact of caring for dying patients on oncologists and on supportive interventions that promote optimal treatment decisions.

Danielle Czarnecki, PhD Candidate, UM Department of Sociology: "Moral Women, Immoral Technologies: How Devout Women Negotiate Maternal Desires, Religion, and Assisted Reproductive Technologies"

Abstract: Catholicism is the most restrictive world religion in its position on assisted reproductive technologies (ARTs). The opposition of the Church, combined with the widespread acceptability of ARTs in the U.S., creates a potentially profound moral dilemma for those who adhere to Church doctrine. Drawing on interviews from 33 Catholic women, this study shows that devout women have different understandings of these technologies than non or less religious women. These differences are rooted in devout women’s position of navigating two contradictory cultural schemas (Sewell 1992) —“religious” and “secular”—regarding the meaning of reproductive technologies in the contemporary U.S. Religious schemas provide devout women with different cultural resources that allow them to develop strategies to avoid the use of ARTs. Yet they must still reckon with the ideal of biological parenthood. I show how devout women draw on religious doctrine to find value and meaning in their suffering , to move beyond biological motherhood,  and to ultimately achieve a moral femininity. While religion increases the burden of reproduction for devout women, it also provides the cultural resources to resist the financial, emotional, and physical difficulties experienced by women who use ARTs.

Uchenna Ezeibe, MD, Resident Physician, UMHS Department of Pediatrics & Communicable Diseases: "Pediatric Ethics Consultation Service at a Tertiary Hospital: A Retrospective Review"

Abstract: Background: Published data about hospital ethics consultation services focus primarily on adult patients. There is little information on pediatric ethics consultations – specifically whether patient demographics were related to type and prevalence of consults.

Objective: To review recent ethics consults at a large children’s hospital and explore associations with patient demographics.

Design/Methods: We reviewed ethics consults between 7/1/2009 – 12/31/2013 at a Midwest children’s hospital. We used Armstrong Clinical Ethics Coding System 2013©, modified for pediatrics, to code consults. We collected data on patient race, age, and insurance status (private vs. public) as a proxy for socioeconomic status. We used Microsoft Excel 2013© to generate descriptive statistics.

Results:, approximately 321,713 inpatient visits, and 29 ethics consults were reviewed. Most consults (72.5%) concerned inpatients. Of these, 82% originated from 1 of 3 ICUs (neonatal, pediatric, and pediatric-cardiothoracic). The most common reasons for consultation were: 1) treatment-based decision-making (31%),); 2) end-of-life decisions (28%); & 3) substitute decision-making (24%).  The mean patient age for treatment-based and substitute decision-making consults were similar at 6.8 and 7.9 years, respectively.  Younger patients (mean age: 2.4 years) were involved in end-of-life dilemmas. Patients receiving consults differed from the general patient population in that fewer patients with consults were White (52% vs. 71%) and more were  African-American (34.5% vs 9%).  Approximately 76% of patients with ethics consults had public insurance compared to approximately 29% amongst all inpatient admissions.

Conclusion:  In this single-center retrospective review, we found that African-Americans and patients with public insurance were over-represented in receipt of ethics consultations compared to the general patient population. We also found that dilemmas about end-of-life decisions were more common for younger children. Given our small numbers, strong conclusions cannot be drawn from this data. Nevertheless, our findings do point to areas where communication between family and medical team can be improved.