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ObamaCare Clusterfuck: About the 8 million

(Wonkblog has improved since Ezra Klein went elsewhere, interestingly.) WaPo:

Last summer, the administration had hoped that 40 percent of exchange enrollees would be between 18 and 34, based on the Congressional Budget Office's estimates that 7 million people in all would enroll in 2014. Instead, the administration got 28 percent, which the White House and supporters very eagerly pointed out Thursday was nearly identical to youth enrollment in the first year of the Massachusetts health-care law that Obamacare was based on. ...*

The 2014 enrollment stories aren't over, however. We're still waiting to find out at least the following: How many purchased coverage off the exchanges, how many paid their premiums, what kind of coverage they purchased, how many joined Medicaid because of the expansion and more.

Yep.

What really matters:

1) How many got insurance that didn't have it before; and

2) How good the polices are.

Neither question has been answered by the pom pom wavers so far; and in fact they can't be, because the back-end still isn't working, something nobody wants to talk about. So, using the simple number of sign-ups as a metric for success is deeply bogus. And that's before we get to all the inequities of ObamaCare's random access to care, leaving $400 billion (very minimum, as lets keeps pointing out) on the table, and so forth.

NOTE * In other words, Obama's got no pull with the youth at all, any more.

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Alexa's picture
Submitted by Alexa on

....that Dems are setting up a "Big Brother" medical system, like none we've ever witnessed before?

Better hope Josh Benner and his associates like your "profile" if you are prescribed medication from this point forward (in Exchange and public health care programs):

Josh Benner is the President of RxAnte, a provider of science-based information technology solutions for improving quality and lowering the cost of health care.

The RxAnte Solution™ helps health care organizations improve medication adherence objectively and efficiently by applying proprietary predictive analytics and decision analytics to ensure the right patient gets the right intervention at the right time.

The company’s analytic technology was previously incubated at Crimson Health, LLC.

A leading voice on medication adherence, Dr. Benner’s award-winning research and numerous publications have shed new light on the problem of nonadherence and identified promising approaches to improving it.

Prior to RxAnte, Dr. Benner was Fellow and Managing Director at the Brookings Institution’s Engelberg Center for Health Care Reform, where he focused on medical technology policy.

Prior to Brookings, Dr. Benner was principal at ValueMedics Research, an analytic and consulting services firm. Following the successful sale of ValueMedics to IMS Health in 2007, he served as senior principal in health economics and outcomes research and global lead for medication adherence at IMS.

Dr. Benner received his Doctor of Pharmacy degree from Drake University and his Doctor of Science in health policy and management from the Harvard University School of Public Health. He remains a Visiting Scholar in Economic Studies at Brookings, and is an adjunct scholar in Clinical Epidemiology and Biostatistics at the University of Pennsylvania School of Medicine.

and this:

Medication non-adherence is a major public health problem in the United States that deprives patients of the full benefits of modern therapy and contributes to costly health complications, the worsening of disease progression, and preventable utilization and costs.

Yet since Hippocrates warned us about this problem, it has long persisted.

There are effective approaches for improving adherence that have been implemented and well-studied, but the main problem is one of scale: how can we take steps to help patients avoid medications problems when the most effective interventions are also the most expensive?

This session will include practical stories from the field about how new predictive analytics used to “hotspot” the specific patients at the greatest risk of non-adherence can fundamentally change how health plans and delivery systems think about this problem and how they interact with patients.

We’ll share early results and suggest new directions in how predictive analytics combined with new incentives in health care can usher in new care delivery strategies and innovations – along with new technologies – in improving how we take care of patients.

Predictive Analytics: Predictive analytics is an area of data mining that deals with extracting information from data and using it to predict trends and behavior patterns.

At least this explains the very lengthy and intrusive "patient surveys" which are required under the ACA. That, and all the "spying" that we're increasingly being subjected to!

Alexa

“If a dog won’t come to you after having looked you in the face, you should go home and examine your conscience.” -- Woodrow Wilson

[Avatar Photo Credit: Conflagrate, jurvetson's photostream, flickr]

Submitted by lambert on

... which are necessary:

1) So readers can check claims and evidence; and

2) To support Corrente's archival function. There's a ton of material on the 2008 primary, for example, that only exists at Corrente because of link rot, new paywalls, etc. Having the links means our material has credibility, and even more importantly, witnesses can be sought out.'

So links are always needed.

First they ignore you, then they ridicule you, then they fight you, then you win. -- Mahatma Gandhi

Alexa's picture
Submitted by Alexa on

The "Predictive Analytics" link is not fixed on mine, but I'll try to fix it now, before I log out.

(It was simply a link to a definition of the term, IIRC, and I provided the actual definition--that's why I thought that it was not real important. It was redundant, in a way.)

But I'll try now . . .

Alexa

“If a dog won’t come to you after having looked you in the face, you should go home and examine your conscience.” -- Woodrow Wilson

[Avatar Photo Credit: Conflagrate, jurvetson's photostream, flickr]