“Eat right. Get physical activity. Don’t smoke. Alcohol in moderation. Spend time with friends.”

http://www.vox.com/health-care/2014/4/22/5640636/dont-read-more-health-books-read-these-14-words

Don’t read more health books. Read these 14 words.

You can do this. But you can also walk for 30 minutes a day.Donald Miralle/Getty Images for NASCAR

Thomas Frieden has a scary job. As director of the Centers for Disease Control and Prevention, he gets the call when infections begin defeating all known antibiotics, or Ebola resurfaces, or overdoses from prescription opiates begin skyrocketing.

Meanwhile, I’m the kind of person who won’t even go see movies about disease outbreaks. So when I sat down with Frieden recently, I asked him the question hypochondriacs need to know: What has all this data taught him to fear? What does he tell his family to do differently?

His answer was borderline dull:

Very little is different really. It’s basic. Wash your hands regularly. Get regular physical activity. Eat foods you love that are healthy. That’s one of the things that’s so challenging. Take physical activity as an example. You don’t have to have much, 30 minutes a day. Doing that, which can be three 10-minute walks, is going to make a huge difference in your life. You’ll feel better even if you don’t lose an ounce. You will be much less likely to have high blood pressure, high cholesterol, cancer, arthritis, depression. You’ll sleep better. And it doesn’t cost a cent.

There’s a lot a of things that can be done that are not very difficult and can make a really big difference. Of course, get your shots, get vaccination, get a flu shot every year and see the doctor regularly and if you have a problem make sure to get follow up.

The broader point — which came up again and again  in our interview — is that the main threats to health aren’t spectacular. People die from heart disease, car accidents, and tobacco a lot more often than they’re killed by Ebola, terrorism, and heroin.

The CDC Director’s reply reminded me of Michael Pollan’s famous, commonsense triplet about diet: “Eat food. Not too much. Mostly plants.” I asked whether Frieden had similarly concise advice. He did.

“Eat right. Get physical activity. Don’t smoke. Alcohol in moderation. Spend time with friends.”

Unlike a lot of health treatments, weird diets, and fancy exercise regimes you’ll read about, this advice is backed up by reams of rock-solid evidence — and following it costs next to nothing.

So there it is: in less than 15 words, the US official who probably knows better than anyone else what might kill you explains how to protect yourself.

Here’s my full interview with Frieden:

 


The Story of Digital Health

http://www.nuviun.com/nuviun-digital-health

good infographics…

 

Digital Health Venn Nuviun

 

http://storyofdigitalhealth.com/infographic/

 

Digital_Health_Infographic

Infographic

I created this conceptual infographic illustrating the increasing health benefits achievable with digital health with the great team at Misfit Wearables. You can download a high-resolution version by clicking on the image.

Digital_Health_Infographic

References:
Number of people sequenced
“250,000 human genomes will be fully sequenced by the end of 2012, 1 million by 2013, and 5 million by 2014″ -Topol, Eric (2011-12-02). The Creative Destruction of Medicine: How the Digital Revolution Will Create Better Health Care (p. 102). Perseus Books Group. Kindle Edition.

Also, compliments of Story of Digital Health strategic partner nuviun, there’s this interactive diagram of the digital health landscape…

nuviun-digital-health-landscape

 

PCMH & ACO complementarity requires policy evolution

PCMHs and ACOs are complementary approaches to improving care delivery. Medical homes require strong links to specialists and hospitals, while ACOs—which are accountable for the full continuum of health services—require a strong grounding in primary care. The authors suggest the following payment approaches to promote integration of PCMHs and ACOs:

  • ACO contracts could include dedicated payments to support enhanced primary care services.
  • ACOs could invest in PCMHs by hiring more primary care providers, expanding office hours, developing information technology and care coordination infrastructure, supporting coaching and learning collaboratives, and dedicating resources to urgent care.
  • ACOs could align physician performance and resource allocation to support PCMHs. For example, measures of care coordination and communication could be considered when assessing physician performance. Primary care physicians could be paid according to the size and complexity of their patient panels, and specialists could be given incentives to work with medical homes.

http://www.commonwealthfund.org/Publications/In-Brief/2014/Apr/Structuring-Payment-to-Medical-Homes.aspx?omnicid=20

Structuring Payment to Medical Homes After the Affordable Care Act

April 7, 2014

Authors: Samuel T. Edwards, Melinda K. Abrams, Richard J. Baron, Robert A. Berenson, Eugene C. Rich, Gary E. Rosenthal, Meredith B. Rosenthal, and Bruce E. Landon
Journal: Journal of General Internal Medicine, published online April 1, 2014
Contact: Bruce E. Landon, M.D., M.B.A., Harvard Medical School, landon@hcp.med.harvard.edu
Summary Writers: Martha Hostetter
Access to full article: View Article

The Issue

The patient-centered medical home (PCMH) model aims to transform primary care practice through the use of multidisciplinary teams and a shift from “reactive visit-based care to proactive population health management.” Currently, medical home providers are reimbursed with a blend of fee-for-service payments and additional compensation for services provided outside of office visits, including care coordination. Writing in the Journal of General Internal Medicine, Harvard Medical School’s Samuel T. Edwards, M.D., and colleagues consider how the PCMH payment model could evolve to keep pace with health care payment reforms launched by the Affordable Care Act, most notably the “shared savings” approach used by many accountable care organizations (ACOs).


What the Study Found

PCMHs and ACOs are complementary approaches to improving care delivery. Medical homes require strong links to specialists and hospitals, while ACOs—which are accountable for the full continuum of health services—require a strong grounding in primary care. The authors suggest the following payment approaches to promote integration of PCMHs and ACOs:

  • ACO contracts could include dedicated payments to support enhanced primary care services.
  • ACOs could invest in PCMHs by hiring more primary care providers, expanding office hours, developing information technology and care coordination infrastructure, supporting coaching and learning collaboratives, and dedicating resources to urgent care.
  • ACOs could align physician performance and resource allocation to support PCMHs. For example, measures of care coordination and communication could be considered when assessing physician performance. Primary care physicians could be paid according to the size and complexity of their patient panels, and specialists could be given incentives to work with medical homes.

Conclusions

As a promising model of care delivery, the PCMH “can serve as a lynchpin of ACOs,” the authors say. For their part, ACOs will need to support this model within their organizations.

Citation

S. T. Edwards, M. K. Abrams, R. J. Baron et al., “Structuring Payment to Medical Homes After the Affordable Care Act,” Journal of General Internal Medicine, published online April 1, 2014.

Community factors (SDH?) drive readmissions

  • 60% of variation in readmissions is driven by location, not care!
  • More GPs > fewer readmissions.
  • More specialists > more readmissions.

PDF: 1742_Herrin_community_factors_hosp_readmission_rates_HSR_04_09_2014_itl

Community Factors and Hospital Readmission Rates

April 16, 2014

Authors: Jeph Herrin, Justin St. Andre, Kevin Kenward, Maulik S. Joshi, Anne-Marie J. Audet, and Stephen C. Hines
Journal: Health Services Research, published online April 9, 2014
Contact: Jeph Herrin, Ph.D., Division of Cardiology, Yale University School of Medicine, jeph.herrin@yale.edu
Summary Writers: Deborah Lorber
Access to full article: View Article

“The current readmission reduction program that aims to penalize hospitals whose readmissions are above a certain threshold may not be appropriate.”

Synopsis

A majority of the variation seen in U.S. hospitals’ readmission rates for heart attack, heart failure, and pneumonia can be attributed to hospitals’ location, rather than to the quality of care provided in individual hospitals. Community factors most strongly associated with lower hospital readmission rates include more general practitioners and fewer specialists per capita and the presence of high-quality nursing home care.


The Issue

Readmission to the hospital shortly after discharge has been recognized as an indicator of poor health system coordination. Since 2009, the Centers for Medicare and Medicaid Services has been publicly reporting 30-day readmission rates for heart attack, heart failure, and pneumonia. And in 2013, Medicare began linking payments to hospitals to how well they perform on these measures, leading hospitals to focus on improving their rates. Previous studies have looked for relationships between readmission rates and hospital characteristics, like size or teaching status, or patient-level factors, like race or health literacy. This article, supported by The Commonwealth Fund, looks at the association between readmission rates and local community characteristics.


Key Findings

  • Almost 60 percent of the variation in U.S. hospital readmission rates can be explained by the county where a hospital is located. Individual hospital performance accounts for only two-fifths of the variation for the three conditions examined.
  • Having high percentages of residents who are Medicare beneficiaries, are unemployed, or have never been married is associated with higher hospital readmission rates. However, an area’s designation as a “retirement destination” was associated with lower rates—a possible reflection of higher socioeconomic status among the Medicare population and a community geared toward caring for older people.
  • Higher numbers of general practitioners per capita were associated with lower readmission rates, while higher numbers of specialists were associated with higher readmission rates.
  • In counties where nursing home quality was higher (as measured by multiple indicators), readmissions were lower.

Addressing the Problem

If community factors explain a substantial amount of the variation in hospital readmission rates, then programs that penalize hospitals with readmission rates above a certain threshold may not be appropriate, the authors say. Other initiatives might be more effective, such as the Affordable Care Act’s Community-Based Care Transitions Program, which allows community-based organizations to receive a bundled payment that covers the costs of services needed to help patients transition from hospital to home.


About the Study

The authors examined all hospitals with publicly reported 30-day readmission rates for patients with acute myocardial infarction, heart failure, or pneumonia who were discharged between July 1, 2007, and June 30, 2010. Readmissions data were then linked with publicly available county data from the Area Resource File, the U.S. Census, Nursing Home Compare, and the Neilsen PopFacts data set. The final sample included 4,073 hospitals.


The Bottom Line

Population characteristics at the county level explain a large portion of the variation in hospital readmission rates for certain major medical conditions. Instead of strictly penalizing hospitals for exceeding certain thresholds, policymakers should focus on programs that help patients transition from hospital to home.

Citation

J. Herrin, J. St. Andre, K. Kenward et al., “Community Factors and Hospital Readmission Rates,” Health Services Research, published online April 9, 2014.

New medical data allows comparison shopping

“Whenever you put information out there, creativity and innovation flourish,” she said. “This is going to be such a giant leap forward in terms of what we’re doing in health care today, what works, what doesn’t work and what it should cost.” But for that to happen “there needs to be some “pretty powerful computing and some savvy tech gurus to help slice and dice this information in meaningful ways for consumers”

New York is sponsoring a contest — the Health Innovation Challenge — that asks the tech-savvy, including coders and developers, to put health data to use keeping costs down, increasing quality and improving efficiency. Winners receive cash, and their ideas will be put to work in the state government.

Shah said releasing the data — and allowing researchers, entrepreneurs and consumers to dig into it — could “democratize” health care in a way that has already happened with the way people buy cars or plane tickets: It will allow them to compare cost and quality.

Instead of making decisions based on quality, people tend to pick their providers based on where their doctor recommends they should go, and that might mean where she did her residency or a specialist whom she plays golf with, he said. New data may allow people to comparison shop for medical care.

While Shah acknowledged a “special” relationship between a patient and a doctor that includes treatment plans and communication in ways that won’t be picked up in data, a colonoscopy should be the same everywhere.

 Rather than taking doctors’ recommendations, entrepreneurs will take data, repackage it and show people which hospitals have the longest average stays, which charge the most for a procedure, and which have the highest infection rates.

“Often, we find that high quality equals lower costs,” he said. That’s because the most cost-effective procedures tend to be the ones where patients receive proper medications, do not have to be treated for hospital-based infections, and where providers work as a team to make sure quality measures are met.

As more people — or their employers — choose low-premium, high-deductible plans, the cost of a knee surgery or an imaging scan becomes more important to the consumer than when insurance covered everything.

http://www.usatoday.com/story/news/nation/2014/04/16/new-cms-data-inspires-entrepreneurs/7735469/

New medical data could allow comparison shopping

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WASHINGTON — As the government moves toward more medical “transparency” by releasing a slew of new data— including Medicare provider payment data last week — entrepreneurs are creating new products to help consumers use the data to choose quality, lower-cost care.

Beyond the profit motive, some entrepreneurs hope to use the data to keep costs down on new medical products they create, help the government suss out fraud or unusual activity, and to persuade doctors to use the best practices gathered from their peers — something that was difficult to do when pricing information was not available.

CHART: See how much Medicare paid each doctor in U.S.

“I think this data transparency is one of the major keys to transformation of the entire health care system,” said Robert Grajewski, president of Edison Nation Medical, a group that works to remove barriers for getting medical devices to the market. “In health care, it’s very confusing to know what the pricing is, not just for the device, but for the overall procedure. This helps us have a benchmark that needs to be achieved or overcome to improve care and overcome costs.”

The provider payment data released by the Centers for Medicare & Medicaid Services has Grajewski looking at why prices are higher for one doctor over another, why a doctor might choose a brand name over a generic medication, and why a doctor might choose surgery over physical therapy. The data became available after a court order lifted an injunction sought by the American Medical Association had been in place since 1979.

Grajewski isn’t the only one. Mercom Capital Group released a report Monday that found venture capital funding for health care information technology hit $858 million in the first quarter of this year. That includes $398 million in 103 new deals for consumer-focused technology, such as mobile apps.

“We’ve been tracking these numbers since 2010, and this quarter was the biggest number ever,” said Raj Prabhu, Mercom’s CEO. “$858 million is a huge number — in 2010, I don’t think we saw $200 million.”

Much of the momentum is coming from inventors who hope to create shopping applications that allow consumers to compare prices and outcomes on their smart devices. These include apps such as GoodRX, which allows consumers to compare medication prices at different pharmacies; NerdWallet Health, which allows people to compare hospital prices by locations; and an app from Consumer Reports that lets people compare prices for hip and knee replacements.

“Ever since the government started releasing data, this has been great for these kinds of companies to turn into useful applications,” Prabhu said.

“Every person is a health care consumer,” he said. “It’s so massive — nobody wants to miss the boat.”

Ceci Connolly, managing director of PWC’s Health Research Institute, said she expects the data to ultimately help the health care industry itself.

“Whenever you put information out there, creativity and innovation flourish,” she said. “This is going to be such a giant leap forward in terms of what we’re doing in health care today, what works, what doesn’t work and what it should cost.”

But for that to happen, there needs to be some “pretty powerful computing and some savvy tech gurus to help slice and dice this information in meaningful ways for consumers,” she said. Someone could use the CMS data to look at trends in hip surgeries: Is it much higher for one hospital than at others? A consumer might reconsider whether he actually needs surgery from a particular doctor. Or are there relatively few hip surgeries at the local hospital? The consumer might consider going to a doctor who performs a lot of hip surgeries.

Someone else might take the CMS data and compare it to CMS’s Five-Star Quality Rating System data, Connolly said.

“The whole promise of big data is not just any one data set, but it’s the way you can bring them together and analyze them across many,” she said.

New York is sponsoring a contest — the Health Innovation Challenge — that asks the tech-savvy, including coders and developers, to put health data to use keeping costs down, increasing quality and improving efficiency. Winners receive cash, and their ideas will be put to work in the state government.

It comes after the launch of the state’s transparency project, Open.NY.gov, which features data that state agencies have been ordered to catalog for the public.

“For a long time, the medical establishment has talked about patient-centered care,” New York State Department of Health Commissioner Nirav R. Shah. “But largely, it’s still been about hospital-centered care, doctor-centered care.”

Shah said releasing the data — and allowing researchers, entrepreneurs and consumers to dig into it — could “democratize” health care in a way that has already happened with the way people buy cars or plane tickets: It will allow them to compare cost and quality.

Instead of making decisions based on quality, people tend to pick their providers based on where their doctor recommends they should go, and that might mean where she did her residency or a specialist whom she plays golf with, he said. New data may allow people to comparison shop for medical care.

While Shah acknowledged a “special” relationship between a patient and a doctor that includes treatment plans and communication in ways that won’t be picked up in data, a colonoscopy should be the same everywhere.

Rather than taking doctors’ recommendations, entrepreneurs will take data, repackage it and show people which hospitals have the longest average stays, which charge the most for a procedure, and which have the highest infection rates.

“Often, we find that high quality equals lower costs,” he said. That’s because the most cost-effective procedures tend to be the ones where patients receive proper medications, do not have to be treated for hospital-based infections, and where providers work as a team to make sure quality measures are met.

As more people — or their employers — choose low-premium, high-deductible plans, the cost of a knee surgery or an imaging scan becomes more important to the consumer than when insurance covered everything.

PCORI: US begins significant data linking foray to investigate comparative effectiveness

  • Patient Centered Outcomes Research Institute (PCORI) NIH-funded 10 site data linking project hoping to develop a complete clinical picture of 26-30 million Americans
  • Do certain sets of behavioral interventions work better than others for weight control? Might certain antibiotics work better for cystic fibrosis patients, based on their genetic profile?
  • It’s described in the story as the holy grail of health-care research, but it doesn’t incorporate social determinants, so how can it be? (PN)

 

http://www.washingtonpost.com/national/health-science/scientists-embark-on-unprecedented-effort-to-connect-millions-of-patient-medical-records/2014/04/15/ea7c966a-b12e-11e3-9627-c65021d6d572_story.html

Scientists embark on unprecedented effort to connect millions of patient medical records

Inside an otherwise ordinary office building in lower Manhattan, government-funded scientists have begun collecting and connecting together terabytes of patient medical records in what may be one of the most radical projects in health care ever attempted.

The data — from every patient treated at one of New York’s major hospital centers over the past few years — include some of the most intimate details of a life. Vital signs. Diagnoses and conditions. Results of blood tests, X-rays, MRI scans. Surgeries. Insurance claims. And in some cases, links to genetic samples.

The effort is being duplicated at 10 other sites across the country using data from hospitals, academic research centers, community health clinics, insurers and other sources. If all goes well, by September 2015 they will be linked together to create a giant repository of medical information from 26 million to 30 million Americans.

Nothing of this scale has been built before, and researchers say the potential of the network to speed up research efforts and to answer questions that have long vexed scientists cannot be overstated. But the creation of the network presents tricky ethical questions about who owns and controls the data, how to protect patient privacy and how research questions will be prioritized.

“Both the opportunity and the anxiety are pretty electrifying,” Francis S. Collins, director of the National Institutes of Health, said in an interview.

The origins of the patient project lie in an obscure part of the 2010 Affordable Care Act. As part of the nation’s health-care overhaul, Congress created an independent nonprofit group to help patients and their doctors make better-informed decisions about care. Dubbed the Patient-Centered Outcomes Research Institute, or PCORI, and based in the District, the organization’s mandate is to launch, fund and coordinate research on “comparative effectiveness” — to find out which drugs, devices and treatment options are more effective than others.

Do certain sets of behavioral interventions work better than others for weight control, for example? Might certain antibiotics work better for cystic fibrosis patients, based on their genetic profile?

Such questions have been surprisingly difficult to answer, despite the thousands of clinical trials published every year.

Physicians have long grumbled that few studies can be translated into practical advice. Some studies are too small to draw any definitive conclusions. Others include patients diagnosed with a single condition, while most patients are more complicated — they suffer from multiple issues. It isn’t uncommon for studies to contradict each other, and there’s no way for clinicians to know which one is right, because they often use different methodologies.

“The whole idea was to create a way to do the kind of research that would inform the real world,” explained Eugene Rich, who researches health-care effectiveness for Mathematica Policy Research, based in Princeton, N.J.

The database — an idea that has been talked about for years by everyone from insurance companies to Google but has never been successfully executed — holds the hope that some of those obstacles can be overcome.

“We will be able to get answers with a degree of certainty that we’ve never had before,” said Joe V. Selby, PCORI’s executive director, who calls the patient records network “the holy grail” of health-care research.

Collins said the value of the network is that it gives scientists the ability to ask an endless number of questions about a massive patient population with great speed and little cost.

In the randomized trials that NIH typically supports, “you have to enroll patients from the very beginning, and that’s a big infrastructure-building process that can take quite some time. And once a trial has been conducted, the whole thing has to be taken down again,” Collins said.

“It’s a great way to answer one specific question, but it’s not an efficient way to ask lots of questions,” he explained.

Before PCORI’s vision can be realized, the project’s leaders must overcome numerous hurdles.

The technical challenges of the project are enormous. The specter of the botched launch of HealthCare.gov haunts anyone trying to get large numbers of separate computer systems to talk to each other. But it is the larger questions about governance that have triggered conflict and worry in the nation’s health-care community.

How will research questions be prioritized? How should disagreements be resolved?

Should pharmaceutical companies and insurers be able to access the records and, if so, under what circumstances? What about the Centers for Disease Control and Prevention? The information could help epidemiologists track outbreaks and clusters of disease in a way they have never done before.

And, critically important to the multibillion-dollar pharmaceutical industry, how will the Food and Drug Administration view this type of research when considering applications for new drugs or in recalling old ones?

PCORI was never imagined to be the custodian of this kind of data network. It was designed to launch and fund research in a manner similar to NIH and the National Science Foundation. But it did not get nearly the same kind of funding.

President Obama’s budget request for fiscal 2015 included $30.4 billion for NIH and nearly $7.3 billion for NSF. But PCORI, which is funded through several streams, gets only about $500 million annually. Large, randomized clinical trials such as the ones NIH does for important questions cost upwards of $150 million, meaning that PCORI has enough to fund only two or three a year.

“So about a year ago, PCORI started talking about whether there is another model that is different from the NIH model, which would be more about embedding clinical studies in the fabric of day-to-day care,” said Robert W. Dubois, chief science officer for the National Pharmaceutical Council, a health policy research group funded by the industry.

The PCORI network, which is being built at a cost of nearly $100 million, would also be a way to pinpoint patients with certain criteria who could be invited to join a clinical trial. As it stands today, identifying patients eligible for trials is often time-consuming, expensive and hit-or-miss. Researchers must use a variety of tools to get enough participants, including reaching out to a network of doctors who then contact their patients and the old-fashioned method of putting up fliers in places where people with the criteria they are looking for congregate.

The new national patient network will comprise 11 sub-networks that include records from New York and Chicago, children’s hospitals, Kaiser Permanente and other groups. Each participating organization retains all the personally identifiable data and would have the right to accept or decline a research proposal. If a research project is greenlighted, each of the smaller networks would analyze its own databases and return an anonymized, aggregated response to the researcher.

“The raw data is not what is being shared. That remains with the institution that the patient trusts,” said Devon McGraw, director of the health privacy project for the Center for Democracy and Technology and head of the data privacy task force for PCORI.

Privacy experts say the general consent forms that patients sign when they get treatment should allow the use of data already collected in the aggregate. Hospitals and other organizations participating in the project don’t have any plans to explicitly inform patients about this. If researchers wanted doctors to collect additional data as part of a clinical trial, the researchers would clearly have to get a patient’s consent. But what about projects that involve more detailed analysis of individual patient histories?

One aspect of the project that was highlighted by researchers involved is that it has included patients at every step. Patient panels have been convened to help suggest research questions, and patients serve on the committees looking at privacy and data security.

Rainu Kaushal, a researcher at Weill Cornell Medical College who heads the New York-based part of the project, said patients’ perspectives on studies are often very different than scientists’.

“As a provider, I may be interested in how a serum marker changes with a treatment. But patients may be more interested in how it affects how they feel, their ability to exercise and eat,” she said.

Brian Currie, vice president for medical research for the Montefiore Medical Center, the university hospital for the Albert Einstein College of Medicine in the Bronx, which is participating in the New York network, said the number of questions are understandable given the historical barriers between different types of institutions that have prevented this research in the past.

“It’s pushing all the fronts on how medical institutions do research,” Currie said.