Fraukje Mevissen is an Assistant Professor in Applied Psychology at Maastricht University, Dept. of Work and Social Psychology. Dr. Mevissen was a Visiting Scholar at CBSSM from January-July 2014. For her PhD, she studied risk communication and risk perception regarding sexually transmitted infections among young adults at the department of Health Education and Promotion. She then continued as a postdoc researcher at the W&SP department, focusing on development and evaluation of behavioral/health interventions.
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Sarah Hawley, Ph.D., M.P.H., associate professor of internal medicine and a research investigator at the Ann Arbor VA, recently received a 3-year American Cancer Society grant totaling more than $850,000 for her proposal, "Population Based Study of Breast Cancer Decision Support Networks." The study will examine how informal decision supporters (e.g., partners, family, and friends) contribute decisions about surgery, radiation, and chemotherapy treatment, and how these roles may vary by race and ethnicity. The project will utilize existing resources from the Cancer Surveillance and Outcomes Research Team's (CanSORT) Program Project Grant "The Challenge of Individualizing Treatments for Patients with Breast Cancer," a $13 million award received from NCI in 2012. CanSORT and IHPI co-investigators on the study are Steven Katz, M.D., M.P.H., Nancy Janz, Ph.D., Jennifer Griggs, M.D., M.P.H., and Yun Li, Ph.D.
Dr. Jeff Kullgren and Dr. John Ayanian testified before the Michigan Health Care Cost and Quality Advisory Committee regarding the feasibility of and policy options for creating an All-Payer Claims Database (APCD) in Michigan.
Established by the Healthy Michigan Legislation (PA 107 of 2013), the Committee is composed of cabinet-level leadership from the state's Departments of Community Health and Insurance and Financial Services, as well as leadership from the Michigan House and Senate Health Policy Committees. The Committee is tasked with reviewing existing efforts across the United State to make health care cost and quality more transparent. Dr. Ayanian and Dr. Kullgren shared their research and practical expertise with the Committee by discussing a broad range of issues related to the feasibility of an APCD in Michigan, including governance structure; funding sources; data collection, storage, and security issues; and opportunities for research and innovation.
[ From IHPI Policy Corner]
[ From IHPI Policy Corner]
What's the difference between opting in and opting out of an activity? Who decides if people will be put automatically into one category or another? Click this interactive decision to learn how default options work.
Imagine that you're a US Senator and that you serve on the Senate's Committee on Health, Education, Labor, and Pensions. The Infectious Diseases Society of America has come before your committee because they believe that too many health care workers are getting sick with influenza ("flu") each year and infecting others. As a result, your Senate committee is now considering a new bill that would require that all health care workers get annual influenza vaccinations ("flu shots") unless the worker specifically refuses this vaccination in writing.
Do you think you would support this bill for mandatory flu shots for health care workers?
Imagine that you're the human resources director at a mid-sized company that's initiating an employee retirement plan. Management is concerned that many employees are not saving enough for retirement. They're considering a policy that would automatically deduct retirement contributions from all employees' wages unless the employee fills out and submits a form requesting exemption from the automatic deductions.
Do you think a policy of automatic retirement deductions is reasonable for your company to follow?
Organ transplants save many lives each year, but there are always too many deserving patients and too few organs available. To try to improve the number of organs available for donation, the state legislature in your state is considering a new policy that all people who die under certain well-defined circumstances will have their organs donated to others. The system would start in three years, after an information campaign. People who do not want to have their organs donated would be given the opportunity to sign a refusal of organ donation when they renewed their drivers' licenses or state ID cards, which expire every three years. Citizens without either of these cards could also sign the refusal at any drivers' license office in the state. This is a policy similar to ones already in place in some European countries.
Does this seem like an appropriate policy to you?
How do your answers compare?
For many decisions in life, people encounter default options-that is, events or conditions that will be set in place if they don't actively choose an alternative. Some default options have clear benefits and are relatively straightforward to implement, such as having drug prescriptions default to "generic" unless the physician checks the "brand necessary" box. Others are more controversial, such as the automatic organ donation issue that you made a decision about.
Default options can strongly influence human behavior. For example, employees are much more likely to participate in a retirement plan if they're automatically enrolled (and must ask to be removed, or opt out) than if they must actively opt in to the plan. Researchers have found a number of reasons for this influence of default options, including people's aversion to change.
But default options can seem coercive also. So, an Institute of Medicine committee recently recommended against making organ donation automatic in the US. One reason was the committee's concern that Americans might not fully understand that they could opt out of donation or exactly how they could do so.
The policy scenarios presented to you here have been excerpted from a 2007 article in the New England Journal of Medicine titled "Harnessing the Power of Default Options to Improve Health Care," by Scott D. Halpern, MD, PhD, Peter A. Ubel, MD, and David A. Asch, MD, MBA. Dr. Ubel is the Director of the Center for Behavioral and Decision Sciences in Medicine.
This article provides guidance for policy-makers in setting default options, specifically in health care. Generally, default options in health care are intended to promote the use of interventions that improve care, reduce the use of interventions that put patients at risk, or serve broader societal agendas, such as cost containment.
In this NEJM article, the researchers argue that default options are often unavoidable-otherwise, how would an emergency-room physician decide on care for an uninsured patient? Many default options already exist but are hidden. Without either returning to an era of paternalism in medicine or adopting a laissez-faire approach, the authors present ways to use default options wisely but actively, based on clear findings in the medical literature.
Some examples of default policies that may improve health care quality:
- routine HIV testing of all patients unless they opt out.
- removal of urinary catheters in hospital patients after 72 hours unless a nurse or doctor documents why the catheter should be retained.
- routine ventilation of all newly intubated patients with lung-protective settings unless or until other settings are ordered.
Drs. Halpern, Ubel, and Asch conclude, "Enacting policy changes by manipulating default options carries no more risk than ignoring such options that were previously set passively, and it offers far greater opportunities for benefit."
Read the article:
Harnessing the power of default options to improve health care.
Halpern SD, Ubel PA, Asch DA. New England Journal of Medicine 2007;357:1340-1344.
Brian Zikmund-Fisher, Angela Fagerlin, Nicole Exe, and Knoll Larkin have been involved in the Visualizing Health Project, which has recently launched an online style guide for communicating health data. You can check it out at: www.vizhealth.org
The Visualizing Health project was a short and highly intense project funded by the Robert Wood Johnson Foundation designed to push the envelope both in considering visual designs for communicating health risk data and in developing iterative research approaches for testing them. The project involved a large team combining researchers and staff from both the University of Michigan's Center for Health Communications Research and the Center for Bioethics and Social Sciences in Medicine. The UM team then worked closely on a week by week basis with Thomas Goetz (former editor of Wired magazine) who envisioned the project, Tim Leong (graphic designer, author of Super Graphic), Andrea Ducas from the Robert Wood Johnson Foundation, and teams of graphic designers that Tim recruited.
They created 16 distinct visual data display tasks related to health risks, had teams of graphic designers develop display concepts, and iteratively tested these displays using multiple online survey methodologies. The resulting designs and data were then assembled in a project website that included all the images, plus commentary and additional features such as a design "wizard" to help guide users to visual displays that best fit their personal needs.
Also, see the Robert Wood Johnson Foundation Culture of health blog.
Dr. Tait is the Department of Anesthesiology Endowed Professor of Clinical Research. Dr. Tait is a former long-standing member of the Institutional Review Board and a current member of the Medical School Admissions Executive Committee. In addition, Dr. Tait is the Chair of the Research Committee for the Society for Pediatric Anesthesia.
Click to decide between death and living with a colostomy. Which would you choose? Are you sure?
Given the choice, would you choose immediate death,or living with a colostomy (where part of your bowel is removed and you have bowel movements into a plastic pouch attached to your belly)?
- Immediate Death
Think about what it would be like if you were diagnosed with colon cancer. You are given the option of choosing between two surgical treatments.The first is a surgery that could result in serious complications and the second has no chance of complications but has a higher mortality rate.
|Possible outcome||Surgery 1
|Cure without complication||80%||80%|
|Cure with colostomy||1%|
|Cure with chronic diarrhea||1%|
|Cure with intermittent bowel obstruction||1%|
|Cure with wound infection||1%|
|No cure (death)||16%||20%|
If you had the type of colon cancer described above, which surgery do you think you would choose?
- Surgery 1
- Surgery 2
How do your answers compare?
Are you saying what you really mean?
CBDSM investigators Brian Zikmund-Fisher, Angela Fagerlin, Peter Ubel, teamed up with Jennifer Amsterlaw, to see if they could reduce the number of people choosing the surgery with the higher rate of death and therefore reducing the discrepancy. A large body of past research has shown that people are notoriously averse to uncertainty. The investigators had a hunch that uncertainty could account for some of the discrepancy. Surgery 1 has a greater number of ambiguous outcomes, perhaps causing people to be averse to it. In an effort to minimize this uncertainty, the investigators laid out a series of scenarios outlining different circumstances and presentations of the two surgeries. For example the research presented some of the participants with a reframing of the surgery information, such as:
|Possible outcome||Surgery 1
|Cured without complication||80%||80%|
|Cured, but with one of the following complications: colostomy, chronic diarrhea, intermittent bowl obstruction, or wound infection||4%|
|No cure (death)||16%||20%|
The investigators believed by grouping all of the complications together that people would be more apt to chose the surgery with the lower mortality rate, because seeing a single group of undesirable outcomes, versus a list, may decrease some of the ambiguity from previous research.
Although none of the manipulations significantly reduced the percentage of participants selecting Surgery 2, the versions that yielded the lowest preference for this surgery all grouped the risk of the four possible complications into a single category, as in the example shown above.
Why these findings are important
Over the past several decades there has been a push to give patients more information so they can make decisions that are consistent with their personal preferences. On the other hand there is a growing psychological literature revealing people's tendency to make choices that are in fact inconsistent with their own preferences; this is a dilemma. Because the present research suggests that the discrepancy between value and surgery choice is extremely resilient, much research still needs to be done in order to understand what underlies the discrepancy, with the goal of eliminating it.
The research reported in this decision of the month is currently in press. Please come back to this page in the near future for a link to the article.
Read the article:
Can avoidance of complications lead to biased healthcare decisions?
Amsterlaw J, Zikmund-Fisher BJ, Fagerlin A, Ubel PA. Judgment and Decision Making 2006;1(1):64-75.
From 1978 to 2009, Ed was head of the U-M Health System Legal Office. In 2009 he moved into the Medical School Department of ObGyn as an Associate Professor to work full-time on issues of sexual rights and reproductive justice. He has teaching appointments in the Medical School, the School of Public Health, the Law School, and LSA Women's Studies. He teaches courses on the legal and ethical aspects of medicine at the Medical School, the rules of human subjects research at the School of Public Health and reproductive justice in LSA and the Law School.. In 2011, Ed went to Ghana and helpe
Consider this scenario:
Alfred woke up at 4 am on Sunday morning with pain in his left foot. That place where his new running shoes had rubbed a raw spot earlier in the week was getting worse. By 9 am, the foot was red and swollen, with a large oozing sore, and Alfred decided to go to the Emergency Room at his local hospital.
Late on Sunday afternoon, Alfred returned home from the ER. He crutched his way into the house and collapsed on the sofa. His teenage son quizzed him.
How do your answers compare?
- Emergency care that was given
- Post-ER care needs
- Symptoms that would require a return to the ER
The Internet Survey Lab at the Center for Bioethics and Social Sciences in Medicine (CBSSM), led by Dr. Brian Zikmund-Fisher, facilitates the programming of complex experimental designs, using the graphical and interactive capabilities of the Internet. CBSSM has extensive experience in developing, programming and conducting survey research using Internet-based methodologies.
Why We Use the Internet
A key advantage of Internet surveys is that they can shape and direct a user's experience in response to computer generated randomization and/or respondents' own answers to questions earlier in the survey. Additionally, page and answer order can be truly randomized as appropriate to limit cognitive biases. The unique advantage of Internet surveys, however, is that many different types of stimuli can be randomized or varied; static visual images, movies, or sounds can all be used in addition to text. Furthermore, the nature of the browser interface enables user-directed interactivity, such as user-adjustable risk communication graphics, that provide unique opportunities for both knowledge communication and response assessment.
Using the Internet to conduct survey research is also very efficient: we can develop and test surveys in only a few months' time, and once a survey is ready, large scale data collection (e.g., 1500-3000 completed surveys) can be completed in only 2-3 weeks. Such surveys can also be cost effective, since while significant effort goes into development, creation, and testing of the survey, almost no personnel effort is required for data collection, entering, coding, or cleaning. In addition, oftentimes several small surveys can be combined into a single instrument, creating further efficiencies.
Sometimes, our studies use large, demographically diverse samples obtained through commercial survey research firms. This methodology allows us to tailor the population being surveyed on multiple demographic variables (e.g., sampling only women age 40-75 for a study about breast cancer treatments) and provides us with ample statistical power to conduct multi-factorial experimental tests. Other times, we use more inexpensive samples from Amazon Mechanical Turk (MTurk) for quick pilot testing or to enable rapid, iterative testing of designs. Regardless, the use of randomized designs ensures high internal validity for the research despite the use of an Internet-only sample.
CBSSM has had considerable success using this methodology, publishing multiple manuscripts in highly regarded peer-reviewed journals. Studies that have used this methodology have addressed a variety of topics, including:
- The use of pictographs to display risk (2008, 2008, 2014) including in comparison to other graphical formats (2008, 2010, 2010).
Note: to create your own pictographs, see www.iconarray.com.
- Misprediction of happiness between younger and older adults (2005)
- Elicitation of utility and willingness to pay (2007, 2007, 2008)
- Research ethics, e.g., participation of mentally vs. medically ill in research (2005)
- Risk communications that emphasize incremental risks instead of absolute risks (2008)
- Simplifying risk communications about adjuvant therapy options (2008).
- Effect of risk labels on prenatal screening decisions (2007).
- Time-insensitivity in people's understanding of survival curves (2005, 2007)
- Self-other discrepancies in medical decisions (2006, 2008)
- Sequential vs. all at once presentations of risk information (2011)
- Testing of animated or interactive risk graphics (2011, 2012, 2014)
- Optimal levels of precision in risk communications (2011, 2012)
- Framing of health promotion messages (2012)
- Exploration of role of narratives in decision making (2010)
- Values Clarification (2015)
- Intuition and Deliberation in Decision Making (2015)
For questions about our methods or inquiries about potential Internet survey research collaborations, please contact Brian Zikmund-Fisher at email@example.com.