Error message

The page you requested does not exist. For your convenience, a search was performed using the query about us interactive decision month 2017 02.

Page not found

You are here

Funded by the Informed Medical Decision Making Foundation

Funding Years: 2010-2012

The overall long-term goal of this research program is to develop values clarification exercises that improve decision quality.  The research funded by this grant aims to establish the feasibility of the development and evaluation of a dynamic interactive tool that explicitly encourages values exploration and clarification.  For this study, values exploration means that patients will be encouraged to “try on” different ideas, see immediate and dynamic visual feedback, adjust and re-adjust their values, and save settings at multiple time points in order to recall and compare thoughts and feelings.  It is hypothesized that by explicitly supporting a potentially circuitous path of values exploration, the resulting approach will be more reflective of the intuitive processes that people follow to arrive at states of greater clarity.

Angela Fagerlin (PI)

 

Mon, October 02, 2017

Sarah Hawley, Brian Zikmund-Fisher, and Reshma Jagsi are co-authors of a recent study published in Medical Decision Making, which was highlighted in MHealth Lab. Their study found that talking to clinicians is the best way for breast cancer patients to understand their recurrence risk. They also found that clinician discussions about recurrence risk should address uncertainty and the relevance of family and personal history. Kamaria Lee is first author of the article.

Michael D. Fetters, MD, MPH, MA, Associate Professor, recently gave a talk at the 38th annual North American Primary Care Research Group (NAPCRG) meeting, held November 13-17, 2010, in Seattle, WA.

How We Can Help

CBSSM offers a variety of resources and tools that have broad applicability.

Please consider attending one of our working group meetings. These meetings provide a forum for project focused discussions and interdisciplinary collaborations. Presenters can receive feedback on a range of issues, from project inception and grant applications to manuscript drafts.

As part of our ongoing research efforts, CBSSM investigators often create methodological tools that have broad applicability beyond the specific research projects for which they were developed. We are pleased to make these tools available to all researchers and non-profit organizations, subject only to appropriate attribution in work products (materials and/or manuscripts).Please explore the following tools:

Fri, September 15, 2017

A study on surgeon influence on double mastectomy co-authored by Sarah Hawley and Reshma Jagsi was recently highlighted in Time Health.  This study found that attending surgeons exerted a substantial amount of influence on the likelihood of receipt of contralateral prophylactic mastectomy after a breast cancer diagnosis. Steven Katz was first author of this study.

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.

 

Mon, May 15, 2017

In light of advancing fetal diagnostic capabilities, Naomi Laventhal and Stephanie Kukora and colleagues are working to improve the decision-making process for families facing complex decisions about their unborn child’s care. For more details check out the MHealth Lab story.

 

Interactive Decision

At CBSSM, we perform the basic and applied scientific research that will improve health care policy and practice to benefit patients and their families, health care providers, third-party payers, policy makers, and the general public.  In our "Interactive Decision" web feature, we turn a recent research finding into an interactive decision that a patient or policy maker might face.  Read, decide, click—and see how your answers compare with our respondents.

PSA Screening & Medical Maximizing-Minimizing Preferences (Dec-18)

Impact of the Vaccine Adverse Event Reporting System on Vaccine Acceptance and Trust (Aug-17)

Patient understanding of blood test results (Feb-17)

Attitudes toward Return of Secondary Results in Genomic Sequencing (Sep-16)

Moral concerns and the willingness to donate to a research biobank (Jun-16)

Liver Transplant Organ Quality Decision Aid: Would you consider a less than perfect liver? (Jan-16)

Blocks, Ovals, or People Icons in Icon Array Risk Graphics? (Sept-15)

Getting ahead of illness: using metaphors to influence medical decision making (May-15)

 

-->

 

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.
 

Pages