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Thu, April 04, 2013

Babies cry and spit up … and too often those common symptoms are labeled as disease, according to a new study conducted by U-M researchers. Frequent use of the GERD label can lead to overuse of medication. The study was published online today in the journal Pediatrics.

Stories have already been published by Reuters,  Yahoo News!MedPage TodayNPRMSN Healthy Living,  CBS News, and the Chicago Tribune, among others. Laura Scherer, PHD, Brian Zikmund-Fisher, PhD, Angela Fagerlin, PhD and Beth Tarini, MD are authors on this study.

Mon, June 23, 2014

Brian Zikmund-Fisher was interviewed by Reuters Health for the article "Shared decision making still lacking for cancer screening." He discusses his research and trade-offs in cancer screenings. "What this study does is it shows that despite all of the initiatives and the discussion of shared decision making that has been going on, we don't seem to be moving the needle very much," he states. 

His interview also received press in the Chicago Tribune and New York Daily News.

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.

PI: Deborah Levine

CO(s): Darin Zahuranec, Lewis Morgenstern & Ken Langa

Fri, March 12, 2010

Peter Ubel, MD, spoke recently at the DeVos Medical Ethics Colloquy at Grand Valley State University in Grand Rapids, Michigan. Dr. Ubel's presentation, "Rationing vs. Rationalizing Health Care," was covered by news outlets in western Michigan. To see a clip from television reports, go to http://www.peterubel.com.

Tue, October 31, 2017

In a recent US Department of Health and Human Services symposium, Kayte Spector-Bagdady discussed the need for consistent informed consent and disclosure regulations for biospecimens and health data.

Fri, March 30, 2018

CBSSM Director, Reshma Jagsi, was one of six innovative women highlighted in Michigan Medicine Headline News for playing a vital role in patient care, education and research.

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

Does order matter when distributing resources? (Jun-03)

Should people with more severe health problems receive state funding for treatment before people with less severe health problems? See how your opinion compares with the opinions of others.

Imagine that you are a government official responsible for deciding how state money is spent on different medical treatments. Your budget is limited so you cannot afford to offer treatment to everyone who might benefit. Right now, you must choose to spend money on one of two treatments.

  • Treatment A treats a life threatening illness. It saves patients' lives and returns them to perfect health after treatment
  • Treatment B treats a different life threatening illness. It saves patients' lives but is not entirely effective and leaves them with paraplegia after treatment. These patients are entirely normal before their illness but after treatment will have paraplegia.

Suppose the state has enough money to offer Treatment A to 100 patients. How many patients would have to offered Treatment B so that you would have difficulty choosing which treatment to offer?

How do your answers compare?

The average person said that it would become difficult to decide which treatment to offer when 1000 people were offered Treatment B.

What if you had made another comparison before the one you just made?

In the study, some people were asked to make a comparison between saving the lives of otherwise-healthy people and saving the lives of people who already had paraplegia. After they made that comparison, they made the comparison you just completed. The average person in that group said it would take 126 people offered Treatment B to make the decision difficult. The differences are shown in the graph below

Why is this important?

The comparison you made is an example of a person tradeoff (PTO). The PTO is one method used to find out the utilities of different health conditions. These utilities are basically measures of the severities of the conditions. More severe conditions have a lower utility, and less severe conditions have a higher utility, on a scale of 0 to 1. Insurance companies, the government, and other organizations use these utilities as a way to decide which group to funnel money into for treatments.

On the surface, it seems like basing the money division on the severity of a condition is a good and fair method, since theoretically the people who are in the greatest need will be treated first. However, the PTO raises issues of fairness and equity that aren't accounted for in other utility elicitation methods like the time tradeoff (TTO) and rating scale (RS).

For example, when asked to decide how many people with paraplegia would have to be saved to equal saving 100 healthy people, many people say 100; that is, they think it is equally important to save the life of someone with paraplegia and a healthy person. Going by values obtained using the TTO or RS, an insurance company may conclude that 160 people with paraplegia (using a utility of .6) would have to be saved to make it equal to saving 100 healthy people. This would mean that less benefit would be gotten by saving someone with paraplegia, and thus they might not cover expenses for lifesaving treatments for people with paraplegia as much as they would for a healthy person. The PTO shows that many people would not agree with doing this, even though their own responses to other utility questions generated the policy in the first place.

For more information see:

Ubel PA, Richardson J, Baron J. Exploring the role of order effects in person trade-off elicitations. Health Policy, 61(2):189-199, 2002.

Is Bill Gates' time worth more than yours? (Jul-03)

Informal caregiving for relatives (parents, grandparents, spouses) can be time consuming. Can we attach dollar value to that time? Is everyone's time worth the same amount?

Imagine that your mother is suffering from moderate dementia and needs assistance with daily activities such as bathing and dressing. You are the only person available to care for her, as you are an only child and your father has passed away. On average, your mother will need about 2 to 3 hours of help per day, or 17 hours per week total.

Assuming that you provide 17 hours of care per week, that means you will provide about 900 hours of care each year. How much money would you say the time you devote to caregiving is worth each year?
 
Now imagine that Bill Gates, the world's richest person, is in the same situation as you. He has to provide 17 hours of care per week to his mother. How do you think the value of the time he spends giving care compares to the value of the time you spend giving care?
 
  • His is worth more
  • His is worth the same amount
  • His is worth less

How do your answers compare?

According to a study done to determine the costs of informal caregiving, the average value of the time spent giving care to someone with moderate dementia was about $7400. This was calculated using an average time of about 900 hours per year, at the mean wage for a home health aide in 1998 of $8.20 per hour.

What if the person you're caring for has less or more severe dementia?

As you might imagine, the cost of informal care differs depending on the severity of dementia. People with mild dementia don't need as much care (8.5 hours per week), and those with severe dementia need much more (41.5 hours per week). The amount of care needed directly impacts the estimated cost of care:

Dementia severity Hours of care per week Estimated cost of informal care
Mild 8.5 $3630
Moderate 17.4 $7420
Severe 41.5 $17,700
Why is this important?

As the Baby Boomer generation ages, the number of people needing informal care is going to increase dramatically. In order to make informed policy decisions regarding care for older people, the government will need an estimate of the value of informal care. A major obstacle to this is that there is no set way for making the estimates.

Earlier, you said that Bill Gate's caregiving time would be worth the same amount as yours. That implies that basing national estimates of caregiving costs on average wages would be the proper way to go about the calculations, since it means everyone's time is equally valuable.

However, some people think that not everyone's time is of equal value. In that case, using average wages to estimate the total cost of caregiving may not lead to an accurate representation. If one group of people is more likely to provide care than another group, then the average value of all caregivers' time may not be the same as the average of all peoples' time. This would possibly lead to an over- or underestimation of caregiving costs, depending on the value of the time of common groups of caregivers. Even without an agreed-upon estimation method, some valuable data can be generated.

The estimation method used in this study likely led to conservative figures, so the true costs of informal caregiving are probably higher than reported here. Even using this conservative method, the costs to society are staggering. The researchers estimated that the cost of informal caregiving for dementia alone in 1998 was $18.6 billion, which is almost two-thirds as much money as that actually spent on paid home care services for all conditions, not just dementia! That figure will grow considerably in the not-so-distant future when the Baby Boomers begin to need caregiving, whether formal or informal, and will likely have a large impact not just on health care systems, but on society as a whole as more and more people are called on to provide informal care.

For more information see:

Langa KM, et al. National estimates of the quantity and cost of informal caregiving for the elderly with dementia. Journal of General Internal Medicine. 16:770-778, 2001.

What is the price of life? (Aug-03)

Do you think that your life is worth more than the amount that the government usually uses as the maximum to spend to provide one year of life?

Imagine that you are a member of a government panel that is trying to decide how cost-effective a medical treatment must be in order for the government to cover the costs of the treatment. Suppose that a certain treatment could provide one additional year of life to an otherwise healthy person. What is the highest amount the government should be willing to pay per person for this treatment?

How do your answers compare?

For the past twenty years, the figure most often used as the maximum amount to spend to provide one year of life has been $50,000. This figure was originally proposed since it was the cost of a year of kidney dialysis, a lifesaving treatment that the U.S. government funds in Medicare.

Should the number be higher or lower than the current standard?

Conventional wisdom would suggest that the number be higher to take into account the inflation that has occurred in the years since the standard was developed. Current practices such as annual Pap smear screening for women with low risk for cervical cancer, which has a cost of $700,000 per year of life gained, also suggest that society is willing to pay more than the current standard for a year of life. The authors of the cited article recommend, based on current treatment practices and surveys of the general public, that the cost-effectiveness threshold should be revised to be around $200,000.

Should the number increase, decrease, or stay the same over time?

Again, it seems that the threshold amount should increase over time due to inflation. However, other factors come in to play that affect the value.

Since new technologies are emerging all the time, some of which will be deemed cost-effective, there will be more and more treatments to be offered in the future. Also, the rate of use of treatments is an important consideration, because even if a new treatment is more cost-effective than an old one, if it is used more often it will end up costing more to society overall. With more treatments becoming available and more people being given treatments, the threshold cost will probably have to decrease so that insurance companies and the government can keep up with the increasing availability and demand.

Why is this important?

Insurance companies and government health care entities face a continuing struggle when trying to determine which medical treatments to cover. Health care costs are increasing rapidly, so these groups will be facing even tougher decisions in the future. Establishing cost-effectiveness guidelines would be extremely helpful as an aid to making the decisions about treatment coverage. Evidence shows that the current threshold is probably not an accurate reflection of the desires of society or actual prescribing practices. It needs to be adjusted to become useful once again, and must be reevaluated periodically to make sure the value keeps up with trends in the health care market, rather than being left alone without question for two decades as is the current situation.

For more information see:

Ubel PA, Hirth RA, Chernew ME, Fendrick AM. What is the price of life and why doesn't it increase at the rate of inflation? Archives of Internal Medicine. 163:1637-1641, 2003.

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