The Asia Health Policy Program at the Shorenstein Asia-Pacific Research Center, in conjunction with The Next World Program, is soliciting papers for a workshop, “Inequality & Aging,” held at the University of Hohenheim from May 4-5, 2018. The workshop will result in a special issue of the Journal of the Economics of Ageing, and aims to address topics such as:

• Population dynamics and income distribution
• The evolution of inequality over time and with respect to age
• Health inequality in old age
• The effects of social security systems and pension schemes on inequality
• Policies to cope with demographic challenges and the challenges posed by inequality
• Family backgrounds and equality of opportunities
• Demographically induced poverty traps
• Effects of automation and the digital economy in ageing societies
• Flexible working time and careers, and their long-term implications
• The dynamics of inheritances, etc.

Researchers who seek to attend the workshop are invited to submit a full paper or at least a 1-page extended abstract directly to Klaus Prettner and Alfonso Sousa-Poza by Sept. 30, 2017.

Authors of accepted papers will be notified by the end of October and completed draft papers will be expected by Jan. 31, 2018. Economy airfare and accommodation will be provided to one author associated with each accepted paper. A selection of the presented papers will be published in the special issue; the best paper by an author below the age of 35 will receive an award and be made available online as a working paper.

Researchers who do not seek to attend the workshop are also invited to submit papers for the special issue. Those papers can be submitted directly online under “SI Inequality & Ageing” by May 31, 2018.

For complete details, please click on the link below to view the PDF.

Stanford Health Policy’s Michelle Mello is calling for reforms to the practice of overlapping surgery, a practice in which surgeons juggle multiple operations at the same time.

Primary surgeons who run multiple operating rooms delegate “non-critical” parts of the operations to trainees or physician assistants. Overlapping scheduling is considered an important means of giving surgical trainees hands-on experience before they enter the profession with a license to operate. But patients are often unaware about the prospect that their surgeon may be double-booked.

“As patients at a teaching hospital, we know that surgery is a team sport and trainees will be involved,” Mello said in an interview. “But learning that the surgeon we’ve entrusted ourselves to may be out of the room for extended periods while we’re under anesthesia comes as a surprise to many patients. Like other aspects of surgical care, policies and procedures need to be in place to make sure this can be done safely.”

Mello, who is a professor of health research and policy at Stanford Medicine and a professor of law at Stanford Law School, wrote in this JAMA editorial that the practice has dented patient trust in the surgical profession and that better research is needed to determine how patients are impacted by double booking. Mello wrote with co-author Edward H. Livingston, MD, of the Department of Surgery at the UT Southwestern School of Medicine in Dallas. Livingston is also deputy editor of JAMA.

For example, Mello and Livingston noted that The Seattle Times reported in February about the unusually high volume of neurosurgical operations “and reportedly poor outcomes” at the Swedish Neuroscience Institute. The top two neurosurgeons each billed more than $75 million in 2015, and clinical staffers who raised concerns were ignored. The news reports prompted federal and state investigations and the resignations of the hospital’s neurosurgery chief and chief executive officer.

Medicare regulations applicable to teaching hospitals allow surgeries to overlap, but primary surgeons can’t bill the government for an operation unless they personally perform the “critical or key portions.”

The Senate Committee on Finance, which oversees Medicare, issued a report last year that said patient safety and informed consent were key concerns raised by overlapping surgery. But they also found scant research on the consequences for patients.

Mello and Livingston write that six peer-reviewed studies have been published about the safety of overlaps, but note that they were all retrospective, single-institution studies.

“These studies suggest that overlapping surgery is not associated with increased risk of patient harm, but these observational studies have important limitations,” they said. 

For example, some studies lumped cases with just one second of overlap together with cases that overlapped significantly longer, making it hard to measure the relationship between the amount of overlap and surgical outcomes. They added that the generalizability of findings beyond the small number of institutions and surgeons studied is unknown.

In ongoing work with other Stanford Health Policy faculty, Mello plans to examine data from a large number of teaching hospitals. One issue requiring further investigation, she said, is whether the longer procedure times documented for overlapping cases mean more time under anesthesia, which elevates the risk of postoperative complications.

Citing a public opinion survey showing that 69 percent of Americans oppose the practice, the JAMA authors concluded, “Overall, the modest evidence base does not suggest that overlapping surgery is unsafe, but rather that the practice is not trusted.”

They believe patients and regulators may distrust it because of the possibility of harm to patients, lack of transparency about what is going on, and surgeons’ conflict of interest in determining on their own what aspects of operations they must personally perform.

Mello and Livingston believe restoring public trust in the surgical system requires stronger proof that overlapping scheduling is safe, including evidence from randomized studies, and better informed consent practices which ensure that patients are given full information about scheduling practices well ahead of surgery.

“The disclosure should include the likelihood that the operation will involve an overlap, a description of who will perform which parts of the operation and what their qualifications are, and the patient’s option if he or she objects to the scheduling,” they said.

Finally, hospitals have an obligation to ensure that their surgeons are performing the critical parts of an operation.

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Tens of thousands of Americans die from drug overdoses every year — around 50,000 in 2015 — and the number has been steadily climbing for at least the last decade and a half, according to the National Institute on Drug Abuse. Yet a team of Stanford neuroscientists and legal scholars argues that the nation’s drug policies are at times exactly the opposite from what science-based policies would look like.

Stanford Health Policy affiliate Keith Humphreys, a professor of psychiatry and behavioral science, and colleagues argue in the journal Science that basing public policy on neuroscience rather than on a desire to punish addicts would improve lives, including those of the victims of drug-related crimes.

“We have an opioid epidemic that looks like it’s going to be deadlier than AIDS, but the criminal justice system handles drug addiction in almost exactly opposite of what neuroscience and other behavioral sciences would suggest,” said Keith Humphreys, a professor of psychiatry and behavioral sciences and one of the leaders of the Stanford Neurosciences Institute’s Neurochoice Big Idea Initiative.

A central problem, the authors argue, is that drug use warps the brain’s decision-making mechanisms, so that what matters most to a person dealing with addiction is the here and now, not the possibility of a trip up the river a few months or years from today.

“We have relied heavily on the length of a prison term as our primary lever for trying to influence drug use and drug-related crime,” said Robert MacCoun, a professor of law and senior fellow at the Freeman Spogli Institute for International Studies. “But such sanction enhancements are psychologically remote and premised on an unrealistic model of rational planning with a long time horizon, which just isn’t consistent with how drug users behave.”

What might work better, Humphreys said, is smaller, more immediate incentives and punishments – perhaps a meal voucher in exchange for passing a drug test, along with daily monitoring.

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Emily Tuong-Vi Nguyen, a Stanford student studying human biology, writes about the Asia Health Policy Program’s international conference on diabetes

The Asia Health Policy Program at the Shorenstein Asia-Pacific Research Center hosted the Net Value in Diabetes Management Workshop in March to discuss progress on an international research collaboration. Research teams from Hong Kong, Singapore, China, Taiwan, South Korea and the United States convened at the Stanford Center at Peking University (SCPKU) in Beijing to work on research that compares utilization and spending patterns on diabetes across different countries and to develop a method for measuring the net value of diabetes internationally, based on previous methods discussed in a Eggleston and Newhouse et al. 2009 study with Mayo Clinic Data for Type 2 diabetes.

The research teams from various Asian countries are attempting to calculate the net value of diabetes in those countries by observing the changes in diabetes value and spending. These calculations include monetizing the value of health benefits of new treatments and improvements in health, as well as avoided spending on treatments when prevention was effective, and associated mortality and probability of survival. Previous models used to measure diabetic values and risks, such as the United Kingdom Prospective Diabetes Study (UKPDS) risk engine that was created from U.K. data and populations, are not very relevant for Asian populations. The goal is to create separate risk models specifically suited for populations from Hong Kong, Singapore, China, Taiwan and South Korea.

During the workshop that spanned two days, the research teams had an opportunity to share updates on their individual projects and to discuss methods and ideas for future collaboration.

On the first day, each research team presented its work, describing data sets and explaining the risk models that were used or developed. Karen Eggleston, director of the Asia Health Policy Program, delivered introductory remarks and shared current progress by the Japan and Netherlands research teams on calculating value and risk for diabetes with data from the Netherlands and Japan. The data sets from those two countries were best estimated by the JJ Risk Engine for the Japan data and the UKPDS model for the Netherlands data.

Chao Quan of the University of Hong Kong presented the risk model used for Hong Kong populations. His work primarily looked at how the UKPDS risk engine predicted risk in Hong Kong populations as compared to a local Hong Kong risk engine and how to best calibrate the Hong Kong risk engine. His next step will be to monetize the value for improved survival in diabetes in Hong Kong. He offered to re-estimate the model using the risk factors available on others’ datasets so that the Hong Kong risk model could potentially be used by other teams as well.

Stefan Ma and Zheng Li Yau of the Ministry of Health of Singapore discussed the 5-year prediction model and statistical methods they used for all-cause mortality of Singaporean individuals with diabetes. Their work is based on Singapore’s extensive administrative and claims data as well as data provided by the national health surveys conducted every six years by the National Health Service of Singapore. The researchers plan to look into how their overall risk model compares with models for specific subpopulations, such as Chinese, Malay and Indian populations in Singapore.

Katherine Hastings from the Stanford University team, led by principal investigator Latha Palaniappan, presented preliminary ideas about measuring cardiovascular risk with the Atherosclerotic Cardiovascular Disease Risk Score in analyses of Stanford health system diabetic patients. The researchers are collaborating with a clinical bioinformatics team at Stanford to use machine learning to expedite the analysis.

Min Yu and Haibin Wu of the Zhejiang Center for Disease Control and Prevention shared results from their analysis of health data collected from community health centers for diabetes management, diabetes surveillance data, cause of death data and insurance claims data that showed relationships between different patient characteristics and insurance types. The researchers then estimated the annual cost of Type 2 diabetes and its complications in Tongxiang province, China.

Hai Fang and Huyang Zhang of Peking University worked with claims data of diabetic patients insured by the New Cooperative Medical Scheme in Beijing, and at the workshop, shared regression analyses on the relationship between outpatient visits and inpatient admissions.

Jianqun Dong of the People’s Republic of China Center for Disease Control and Prevention presented ongoing research about diabetes management in China, including preliminary results of a randomized control trial of diabetes self-management strategies.

Wankyo Chung of Seoul National University shared preliminary estimates of a risk model for mortality among diabetic patients in South Korea and discussed next steps for estimating net value of diabetes management using the detailed clinical and claims data available in South Korea.

On the second day, the workshop concluded with a videoconference between workshop participants in Beijing and collaborators at Stanford Graduate Business School, including Stanford professor Latha Palaniappan and Harvard visiting professor Joseph P. Newhouse, using the Highly Immersive Classroom.

The workshop was a good opportunity for the research teams to discuss preliminary models, to offer each other suggestions regarding research methods, and to discuss the future direction of the international collaboration on the net value of diabetes. All research teams are preparing comparative research papers that will be included in the working paper series of the Asia Health Policy Program. A follow-up event will be held at Stanford in November 2017 in recognition of World Diabetes Day.

Stanford Health Policy’s Douglas K. Owens has been appointed vice chair of the U.S. Preventive Services Task Force, an independent, volunteer panel of national experts in prevention and evidence-based medicine.

Owens, the Henry J. Kaiser, Jr. Professor at Stanford University is a general internist at the VA Palo Alto Health Care System, and a professor of medicine, health research and policy, and management science and engineering at Stanford.

He is the director of the Center for Health Policy in the Freeman Spogli Institute for International Studies, where he is also a senior fellow, and the Center for Primary Care and Outcomes Research in the Department of Medicine and School of Medicine, and Associate Director of the Center for Innovation to Implementation at the VA Palo Alto Health Care System.

“Through his stellar work, Dr. Owens enables Stanford Medicine to advance its mission to precisely predict and prevent disease,” said Lloyd Minor, MD, dean of the Stanford School of Medicine. “As our country faces an increasingly diverse, aging patient population and rising health care costs, I am thrilled that Dr. Owens will contribute his perspective and expertise to this national task force.”

Owens served a previous four-year term on the independent, volunteer panel of national experts in prevention and evidence-based medicine. He will serve for two years as vice chair and then a year as chair. Members come from health-related fields ranging from internal medicine, family medicine, pediatrics, behavioral health, obstetrics/gynecology, and nursing.

The task force issues preventive care guidelines based on detailed assessment of the evidence about preventive interventions and is supported by the Agency for Healthcare Research and Quality within the U.S. Department of Health and Human Services.

“It’s humbling because the task force guidelines impact virtually every primary care patient in the United States,” said Owens, who is also past president of the Society for Medical Decision Making. “Having an unbiased, independent assessment of the benefits and harms of preventive services is very important for primary care clinicians and patients.”

The task force works to improve American’s health by making evidence-based recommendations about clinical preventive services such as screenings, counseling services and preventive medications. Its members have tackled everything from whether to screen for certain cancers, which medications should be taken to prevent diseases and reduce blood pressure and high cholesterol, and screening for infectious diseases, including HIV, HCV, TB, syphilis and other sexually transmitted diseases.

“We are honored to welcome Dr. Owens back to the task force in a leadership role,” said task force chair David C. Grossman, MD, MPH, a senior investigator and medical director for population health strategy at the Group Health Research Institute.

“His experience in guideline development, both with the task force and partner organizations, and his work in evidence-based medicine and clinical decision-making are valuable additions to our leadership team,” Grossman said.

The task force, for example, just released its draft guideline on prostate cancer screening. And some of the medical topics under development are screening for cervical and BRCA-related cancer, as well as pre-exposure prophylaxis for HIV infection.

Owens said that it was critical that the task force remains unbiased and independent. The 16 volunteer members who are nationally recognized experts in prevention, evidence-based medicine and primary care, carefully evaluate the science behind preventive interventions.

“The task force has very rigorous methods for assessing evidence, and we are fortunate to have state-of-the-art evidence reviews provided by AHRQ funded Evidence-Based Practice Centers,” he said.

Each year, the task force makes a report to Congress that identifies critical evidence gaps in research related to clinical prevention services and recommends priority areas that deserve further explanation. All their reports and recommendations are made public on the task force website and leave room for public comment.

The Journal of General Internal Medicine (JGIM) has appointed Stanford Health Policy’s Steve Asch as an editor-in-chief.

JGIM is the highest rated journal for primary care research in the world. It publishes research on health services, implementation science, medical education and the humanities in addition to primary care.

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“Steve is widely known as an outstanding writer and editor, and as having very broad methodological expertise,” said Douglas Owens, director of the Center for Health Policy/Primary Care and Outcomes Research. “He's a terrific choice to lead JGIM.”

Asch’s work focuses on quality improvement, and he has lead several national projects to develop tools that measure quality of care for veterans, Medicare users and the public. An avid mentor, Asch has trained dozens of physician fellows in health services research at Stanford and the VA system.

“We’re going to try to get research out there where it can make a difference in the world,” said Asch.

The editor team plans to focus more on best practices and implementation science. By combining the efforts of many researchers, they hope to ensure that doctors get the best answers to the big questions in health care.

“I think it’s going to be fun,” said Asch.

He looks forward to mentoring researchers to submit articles to journals like JGIM.

“Primary care is important,” said Asch. “As the health-care system transforms, it will play an increasingly important role, and the journal is very much in the lead in trying to publish new ways of organizing primary care.”

Like any energetic 7-year-old, your daughter loves running around outside, playing with her friends and kicking around a soccer ball. So you’re concerned when she starts losing energy. She looks pale and refuses to eat. You take her to the pediatrician, and her test results show the worst: she has leukemia. Once you work through the shock, you do you what any parent would do: find the best possible care to get her through it. But where do you go?

Health care for children is different from care for adults. Treating kids requires doctors who are experienced with their unique needs, and according to Stanford pediatricians Paul Wise and Lisa Chamberlain, this experience is developed and lives in children’s hospitals.

And these facilities are highly dependent on Medicaid.

“Children are the poorest segment of the United States population,” said Wise, a Stanford Health Policy core faculty member.

Nearly one out of every five children lives below the poverty line, according to the United States Census Bureau. Very few children need extensive health care, but of those that do, about 44 percent rely on Medicaid or other public insurance programs.

Because so many of their patients use Medicaid, these children’s hospitals need reimbursements from the program to support their services. Without this income, some might have to downsize or even shut down, and if they do, services would suffer for all children.

“If you want to kill rich kids, cut Medicaid,” said Wise. “If you’re a rich kid with a serious chronic problem, you’re going to want facilities that provide high-quality care. Those facilities are intensely dependent on Medicaid.”

If the American Health Care Act (the Republican replacement for Obamacare) passes Congress, Medicaid will convert to a per capita cap system. Instead of providing coverage to all who meet its criteria — which is primarily based on income and need — the federal government would cap how much money the federal government could provide each person.

Wise and Chamberlain worry that a set amount allocated for states or individuals would not be able to keep up with health industry inflation, causing payments to effectively decrease over time. They are also concerned that children would be particularly affected by these changes because their medical needs are so different from adults’.

“Caring for seriously ill children requires a wide range of services and specialists, from pediatric surgeons to speech therapists to hospital teachers who make sure kids don’t fall behind,” said Chamberlain. “In pediatrics we work as a team — and cutting Medicaid will reduce our ability to do that.”

Not only would the funds available for child health coverage erode, but according to Wise, the focus on adult health concerns in the emerging Medicaid changes could, without immediate attention, undermine 40 years of progress in developing strong, regionalized child health systems.

Providing for children’s needs should be simple because their expenditures are relatively low. Child health care makes up less than nine percent of all federal health expenditures in the United States.

But because the health policy debate in the United States focuses on older populations, children are often left out.

“I think it’s really important that we have these conversations about the unique needs of children,” said Chamberlain.

Wise and Chamberlain hope to alert policy-makers to the fiscal needs of children and how they affect care for all kids.

“Our elected officials have to cope with a wide range of issues, and they welcome engaged professionals exchanging ideas about active legislation,” said Chamberlain. “Those conversations really matter – now is the time to let them hear what we think.”

To hear more from Wise and Chamberlain about child health and Medicaid, listen to their podcast on World Class: