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The Health Insurance Shell Game

The insurance industry had a rocky start a century ago. It was clear that there were untoward events that could befall any of us with catastrophic results, from the incineration of a home to the loss of the ability to maintain gainful employment from injury or death.

Insurance offers a mechanism to share this risk. The stumbling block was the possibility that the insured might burn down their home to collect. Once it was realized that “moral hazard” could be held at bay by investigating for fraud, there was little to hinder the growth of an industry designed to serve our risk adverse proclivities. Almost every adult has some experience valuing the expense of sharing risk for a variety of hazards. After all, automobile insurance is generally compulsory and most of us are familiar with notions of deductibles and riders when it comes to homeowners’ policies. The possibilities are not an abstraction; we can envision the house or its contents damaged, destroyed, or stolen leaving us bereft. What would reducing that prospect be worth to us? As is true for many value-based decisions, the answer brings a mix of reason and intuition (1)that can produce surprising outcomes (2).

Health insurance is even more complex, and has always been so. The industrial revolution saw the development of “Friendly Societies” in Britain and the Prussian “Krankenkassen”. These were trade-based institutions that allowed advantaged workers to purchase insurance to provide “sick pay” but there was little else. The sea change was the Prussian “welfare monarchy” (3), an extensive insurance scheme that encompassed universal health care and a complex approach to disability insurance (4). Modifications of the Prussian scheme spread across the industrial world. It made landfall in the United States in time for the presidential election of 1912. Only one component took root in America: Workers’ Compensation Insurance but not as a national insurance scheme. It fell to the each state to regulate an insurance scheme to compensate injured workers for lost income and medical expenses.

This set the stage for state-based regulation of employer-sponsored private health insurance schemes going forward. But forward momentum appears anything but swift or linear in a country that trusted physicians to charge “commensurate with the services rendered and the patient’s ability to pay” (AMA Code of Medical Ethics, 1957.) Health Insurance as both an industry and a product has become a frustrating web of inefficiency and confusion.

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Will the Federal Health Insurance Exchanges Be Ready On Time?

After months of speculation on just where the Obama administration is toward the development of the new health insurance exchanges, the Government Accountability Office (GAO) has issued a 48-page report complete with timelines and a detailed report on just where the Obama administration is––or at least was last month.

The key summary:

“Much  progress  has  been  made,  but  much  remains  to  be  accomplished  within  a   relatively  short  amount  of  time.  CMS’s  timelines  provide  a  roadmap  to   completion;  however,  factors  such  as  the  still-­evolving  scope  of  CMS’s  required   activities  in  each  state  and  the  many  activities  yet  to  be  performed—some  close   to  the  start  of  enrollment—suggest  a  potential  for  challenges  going  forward.  And   while  the  missed  interim  deadlines  may  not  affect  implementation,  additional   missed  deadlines  closer  to  the  start  of  enrollment  could  do  so.  CMS  recently   completed  risk  assessments  and  plans  for  mitigating  risks  associated  with  the   data  hub,  and  is  also  working  on  strategies  to  address  state  preparedness   contingencies.  Whether  these  efforts  will  assure  the  timely  and  smooth   implementation  of  the  exchanges  by  October  2013  cannot  yet  be  determined. ”

Regarding the Data Hub:

“FFEs  [the federal exchanges] along  with  the  data  services  hub  services  are  central  to  the  goal   under  PPACA  of  having  health  insurance  exchanges  operating  in  each   state  by  2014,  and  of  providing  a  single  point  of  access  to  the  health   insurance  market  for  individuals.  Their  development  has  been  a  complex   undertaking,  involving  the  coordinated  actions  of  multiple  federal,  state,   and  private  stakeholders,  and  the  creation  of  an  information  system  to   support  connectivity  and  near  real-­time  data  sharing  between  health   insurance  exchanges  and  multiple  federal  and  state  agencies.  Much   progress  has  been  made  in  establishing  the  regulatory  framework  and   guidance  required  for  this  undertaking,  and  CMS  is  currently  taking  steps   to  implement  key  activities  of  the  FFEs,  and  developing,  testing,  and   implementing  the  data  hub.  Nevertheless,  much  remains  to  be   accomplished  within  a  relatively  short  amount  of  time.  CMS’s  timelines   and  targeted  completion  dates  provide  a  roadmap  to  completion  of  the   required  activities  by  the  start  of  enrollment  on  October  1,  2013.

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Why Texting Public Health Messages Is a Brilliant Idea. Except When It’s Not…

A new service has partnered with a Los Angeles school district – the second largest in the country – to not only deliver STD results by text message, but also to promote the idea children share their “status” as easily as they share the highlight of their day on Facebook. But when it comes to children having sex, it’s never quite that simple now is it?

Qpid.me is the brainchild of Ramin Bastani and operates from the following premise: “We believe that sharing is a good thing and that it can lead to better sexual health decisions, more (safe) sex and fewer STDs.” Bastani went on to tell CNN in an interview: “If it’s cool for a beauty queen to share her STD status [Qpid.me’s celebrity sponsor is Tamie Farrell, Miss California 2009], then maybe kids will start to think it’s cool to share their own results. We want to normalize the idea of sharing your status.”

The process is fairly straightforward. Qpid.me requests patient test results from health clinics (with patient permission, of course) then transmits those results via text, email, and provides access to their online site. The concept of delivering STD results electronically is not necessarily new, or controversial. The danger lies in convincing children there are no concerns about sharing such private information among peers who may not respect their privacy, or, worse may shame them for contracting curable diseases.

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The PCORI Patient Engagement Awards: A Call for Proposals

One of our core beliefs at PCORI is that patients, clinicians, and other front-line caregivers, and others across the healthcare community have the potential to become valued and real partners in the patient-centered outcomes research (PCOR) we support. We practice what we preach in the requirements we place on applicants for our funding and the way we evaluate their proposals.

So we’re pleased today to announce the latest example of how we’re making that principle real – a new funding program called the PCORI Engagement Awards and the first funding opportunity under this program, the Pipeline to Proposals Award.

Listening to our stakeholders

We got the idea for the Engagement Awards program last October, during our first patient engagement workshop. We asked workshop participants to provide input into how we can better serve and connect with patients and the communities interested in being involved with rigorous PCOR– which is, comparative clinical effectiveness research focused on and guided by the needs and concerns of patients. The response was a clear and broad expression of passion, expertise, and willingness within the patient and broader healthcare community to help us pursue this approach to research. The question was how best to do it.

engagement-awards-graphic

From that discussion was born our Engagement Awards program, which is designed to leverage the community’s passion and expertise by offering targeted funding to dozens of groups of patients, providers and other healthcare community stakeholders interested in supporting the expansion of high-quality, useful PCOR and the implementation of its results.

Our philosophy is that, when the research process incorporates the perspectives of the entire healthcare system and focuses on the questions important to patients and those who care for them, the results are far more likely to be meaningfully incorporated into clinical decision-making and practice.

The Engagement Awards program will have three distinct categories:

  • Knowledge Awards, which will fund activities such as background papers, landscape reviews, and development of mechanisms to share research results.
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Self-Care and Caregiving Apps Development

Have I gotten to the end of the beginning in developing tools that help people take care of themselves?

With the recent release of Unfrazzle, an app for caregivers, I believe I have. Unfrazzle builds upon the learnings of Zume Life and Tonic, earlier apps I developed. There were key lessons from hundreds of users and family caregivers that influenced Unfrazzle’s product design, driving it in directions very different from and hopefully much more useful than what you might expect.

These key lessons, explored in more detail below, I group into three themes:

  • Care regimens constantly vary, and so tools must accommodate such variation
  • We live in a network of mutual caregiving, and simple notions of “the patient” or “caregiver–care recipient” match few people’s reality
  • Living, yes living, is much more important than adherence
  • For those unfamiliar with Unfrazzle, here’s a brief description:It is an iPhone app (Android coming soon) that helps users remember and keep track of anything they do to take care of themselves and their family (parents, friends, children, pets), and to stay in-sync with other caregivers in their family. Unfrazzle is a Design-It-Yourself app — it essentially provides a platform, a framework that the user then shapes to meet his own ever-changing needs.

    If that sounds clear as mud, try this: take your favorite pill reminder app, and imagine that you can change all the screens and forms to accommodate any health & wellness activity (not just pills but also other things such as exercises, moods, symptoms, observations, and chores). Then imagine that you can share any of your data with others also using the app, so that you can see each other’s entries. Imagine you can even allow others to make entries for you, then you’ve got the gist of Unfrazzle.

    Care Regimens Constantly Vary

    From the start,  beginning with Zume Life, our focus has been on making it easier for people to remember and track their health regimens. We began by targeting a simple, logistical problem — in our busy lives it is easy to forget little details.

    Our idea was that adherence would be improved if we had a memory aid.

    Our tool had to be somewhat flexible, because we took the approach that we could not possibly know everything a person might be doing for his health. For example, allowing a person to include their supplements in their list of medications, and not just their prescriptions.

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    Building Cost and Quality Into the Electronic Medical Record

    Trends in US healthcare expenditures are financially unsustainable (1). I would like to propose two tweaks of the healthcare delivery process that may, in a small way, help rectify this problem.

    Although there is a widespread impression that health information technology (HIT) will eventually “bend” the cost curve and put healthcare spending on a sustainable course, there is, as of yet, little data that convincingly supports this hypothesis (2).

    Kaiser Permanente is a large, integrated healthcare delivery system which has invested heavily in HIT. George C. Halvorson, the chairman and CEO of Kaiser Permanente appears to have concluded that this investment will not solve the healthcare cost issue, when he was quoted in the New York Times (3/20/13) as stating “We think the future of health care is going to be rationing or re-engineering.”

    Because HIT, as currently implemented, will probably not solve the healthcare cost problem, I would like to suggest a minor “re-engineering” of the electronic health record user interface which may help bend the cost curve.

    At every office visit, the physician must make a myriad of decisions which incrementally effect the nation’s total healthcare expenditures. For example, the physician will have to decide which medicine to prescribe, and which radiology study or laboratory test to order.

    In many situations, there is more than one acceptable choice. The physician’s ultimate decision will integrate their understanding of the disease process, the treatment’s side effect profile, their familiarity with the treatment options, patient preferences and many other variables.

    I would suggest that every time a physician is about to order a test or a prescription, the cost of the test or prescription should be displayed to the physician. In the same vein, whenever a computer displays a test result, the cost of the test is immediately available to the reader. This information could then become an additional factor that the physician may choose to integrate (or ignore) at the moment when he/she is about to commit the patient and society (which is now paying >50% of all healthcare bills) to another healthcare expenditure. In terms of a risk/benefit analysis, I can see little downside to providing this cost information to physicians.

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    A Case for Open Data

    A couple of weeks ago, President Obama launched a new open data policy (pdf) for the federal government. Declaring that, “…information is a valuable asset that is multiplied when it is shared,” the Administration’s new policy empowers federal agencies to promote an environment in which shareable data are maximally and responsibly accessible. The policy supports broad access to government data in order to promote entrepreneurship, innovation, and scientific discovery.

    If the White House needed an example of the power of data sharing, it could point to the Psychiatric Genomics Consortium (PGC). The PGC began in 2007 and now boasts 123,000 samples from people with a diagnosis of schizophrenia, bipolar disorder, ADHD, or autism and 80,000 controls collected by over 300 scientists from 80 institutions in 20 countries. This consortium is the largest collaboration in the history of psychiatry.

    More important than the size of this mega-consortium is its success. There are perhaps three million common variants in the human genome. Amidst so much variation, it takes a large sample to find a statistically significant genetic signal associated with disease. Showing a kind of “selfish altruism,” scientists began to realize that by pooling data, combining computing efforts, and sharing ideas, they could detect the signals that had been obscured because of lack of statistical power. In 2011, with 9,000 cases, the PGC was able to identify 5 genetic variants associated with schizophrenia. In 2012, with 14,000 cases, they discovered 22 significant genetic variants. Today, with over 30,000 cases, over 100 genetic variants are significant. None of these alone are likely to be genetic causes for schizophrenia, but they define the architecture of risk and collectively could be useful for identifying the biological pathways that contribute to the illness.

    We are seeing a similar culture change in neuroimaging. The Human Connectome Project is scanning 1,200 healthy volunteers with state of the art technology to define variation in the brain’s wiring. The imaging data, cognitive data, and de-identified demographic data on each volunteer are available, along with a workbench of web-based analytical tools, so that qualified researchers can obtain access and interrogate one of the largest imaging data sets anywhere. How exciting to think that a curious scientist with a good question can now explore a treasure trove of human brain imaging data—and possibly uncover an important aspect of brain organization—without ever doing a scan.

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    Are Employers to Blame For Our High Medical Prices?

    In a recent New York Times blog, Uwe Reinhardt places much of the blame for high and rising medical prices on passive employers. He argues that employers should work just as hard to reduce healthcare benefit costs as they work to reduce other input costs. But he then observes:

    “One reason for the employers’ passivity in paying health care bills may be that they know, or should know, that the fringe benefits they purchase for their employees ultimately come out of the employees’ total pay package. In a sense, employers behave like pickpockets who take from their employees’ wallets and with the money lifted purchase goodies for their employees.”

    I think that Reinhardt gets the economics wrong here and, in the process, he puts too much of the blame on employers. Reinhardt is right in one respect – employees care about their entire wage/benefit packages. If benefits deteriorate, employers will have to increase wages to retain workers. Thus, it seems that if an employer reduces benefit costs, it must increase wages by an equal amount. If that is true, we can understand why employers are passive.

    The correct economic argument is a bit more nuanced. Employees do not care about the cost of their benefits; they care about the benefits. If an employer can procure the same benefits at a lower cost, the employer need not increase wages one iota. In this regard, there is nothing special about health benefits. Suppose an employer offers employees the use of company cars. Workers don’t care what the employer paid for the cars, and if the employer can purchase cars at a deep discount, it will pocket the savings.

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    Targeting Obesity With Health Care Reform

    The Medicare Board of Trustees just released its latest report on the program’s finances and the results are terrifying. Despite a decline in health care costs, the Medicare Trust Fund will be bankrupt in 2026.

    For the program to survive for future generations, innovation will be essential. The old medical paradigm of diagnosing and treating diseases must give way to a more holistic approach aimed at eliminating risk factors that lead to disease. The best place to start is by addressing the growing problem of adult obesity.

    In the past 30 years, the percentage of American adults who are obese has doubled, driving a sharp rise in such chronic conditions as diabetes, heart disease and hypertension.

    The ramifications for health spending are significant. Annual health costs for obese individuals are more than $2,700 higher than for non-obese people. That adds up to about $190 billion every year. And many of these costs are borne by Medicare, which will spend a half-trillion dollars over the next decade on preventable hospital readmissions alone.

    We cannot afford to wait until patients are on Medicare to fight obesity. Rather, we need to encourage weight control over the course of patients’ lives.

    Fortunately, we now have an ideal opportunity to implement reforms. The new health insurance exchanges created under the Affordable Care Act can establish effective care coordination strategies to identify and treat chronic conditions earlier, addressing not just the immediate conditions but the underlying ones as well. Obesity is one of the most common. Medicare, in turn, can adopt these strategies, and the benefits for both patients and taxpayers will be substantial. Continue reading…

    Online Won’t Ever Replace Face-to-Face. Or Will It?

    The simple explanation is a proverb that has been stated in similar ways in various cultures for more than 2,000 years: “The eyes are the window to the soul.”

    Not, mind you, “Windows® is the eye to the soul.”

    Trust me, I appreciate computer technology and am ever-grateful for the benefits it has yielded me personally and to the patient group I represent, Spontaneous Coronary Artery Dissection (SCAD). Without a computer, search engine, and online community, I never would have met another SCAD survivor, and Mayo Clinic definitely would not be in the weeds of a virtual registry of SCAD survivors, plus a DNA biobank of patients and families from around the globe, at this very moment.

    I grew up in locales where catching crabs with a chicken neck on a string and casting a net for shrimp were common practices, and in each, patience is the operative word. If you look at the case of patient-initiated research into SCAD (or any other rarely diagnosed condition), you see a progression that requires patience. The process begins vast – much like seining – and ends personal. For me, what began on AOL.com as my Internet search for any and all references to “heart dissection,” was turbocharged by Google and its evolution. (I remember worrying about what would happen to my computer if I tried this “thing” everyone was talking about. It seemed daring enough to be on AOL instead of mindspring!) But Google led me to an organization, WomenHeart: The National Coalition for Women with Heart Disease, and the online community it runs in partnership with Inspire, the Inspire/WomenHeart Support Community.

    And there, on www.inspire.com/groups/womenheart is where our little incubator of SCAD patients formed. Very slowly at first, but thanks to Google’s search and display features, the pace picked up over time and we grew into the hundreds. Then, Facebook was launched, providing a seemingly more personalized venue to interact. Next Twitter, which (although ultra concise at 140 characters per tweet) is an easy way to connect with likeminded souls, similar to that instant bond when walking down the street and sharing “Great game, huh?”

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