Entries in Clinical & Quality (30)

Friday
Mar072014

How do you Define Population Health?

By Clive Riddle, March 7, 2014

This week, the inaugural issue of Population Health News was published. In their Thought Leaders Corner, a number of members of their national advisory board answered the question – how do you define population health? Here’s what the experts had to say:

Fred Goldstein, M.S., Founder and President of Accountable Health, LLC; and Executive Director of Population Health Alliance says “A population health management program is one that strives to address health needs at all points along the continuum of health and well-being through the participation of, engagement with and targeted interventions for the population. The goal of a population health management program is to maintain or improve the physical and psychosocial well-being of individuals through cost-effective and tailored health solutions.” (Fred cites this description is from Population Health Alliance, formerly the Care Continuum Alliance)

Thomas Graf, M.D., Chief Medical Officer, Population Health and Longitudinal Care Service Lines at Geisinger Health System offers this definition:  “Population health is the ability to define and understand the health status of every individual patient and proactively deploy medical resources to support those patients, whether it is to push resource to them where they are, or effectively connect them to the optimal resource in a patient specific manner, accelerated by technology.”

Paul Grundy, M.D., MPH, FACOEM, FACPM, the Global Director of Healthcare Transformation for IBM and President of the Patient-Centered Primary Care Collaborative (PCPCC) elaborates that  “population Health is ‘the health outcomes of a group of individuals, including the distribution of such outcomes within the group.’ For me, the ability to deliver population health requires a place in the delivery system that acts as the system integrator where the data flow about the population and is held accountable. We ask the house of primary care to give us a set of principles for this system integrator that is known as the patient-centered medical home (PCMH).  The medical home is defined as a ‘healthcare setting that facilitates partnerships between individual patients and their personal providers and when appropriate, a patient’s family. It lies at the center of the effort to address population health through the provision of integrated and coordinated, team-based care. It is a delivery organization that fosters clinician-led primary care with comprehensive, accessible, holistic and evidence-based coordination and management. PCMH builds the infrastructure through which data flow and is held accountable as the system integrator for POPULATION HEALTH.”

David Nash M.D., MBA, Founding Dean of the Jefferson School of Population Health at Thomas Jefferson University observes that "population health recognizes that the social determinants of healthcare, like poverty and education, are the key drivers of a society's well-being. Medical care is responsible for 15% of a society's quality of life.”

Vince Kuraitis, J.D., MBA, Principal and Founder of Better Health Technologies, LLC explains that “definitions of population health usually focus on improving the health and health outcomes of a population. That said, the understanding and point of view of population health managers will vary greatly. Consider three highly variable factors in populations: 1. What's the COMPOSITION of YOUR POPULATION? The answer will vary depending upon whether you are a health plan, a physician practice, an employer or the government. 2. How STABLE is your population? How long do you expect it to remain with you? If you are a health plan, you will expect 18% to 20% annual churn in membership and an average tenure of around three years. If you are Medicare, your members will be with you for the rest of their lives. 3. Are you at FINANCIAL RISK for the health of your population? Upside risk? Downside risk? What are the details?   These factors will affect the economics of a population and in turn, the type and timing of potential interventions. Population managers will consider ROI as a primary metric for evaluating success. While this might seem narrow, it's very real. For example, if you are a health plan, you are more likely to invest in a congestive heart failure disease management program that has potential to identify patients and interventions that will keep patients from being admitted to a hospital within the next one to three years. If you are Medicare, you might consider a diabetes prevention that promises to reduce eye or foot problems over the course of 15 years.”

Finally, Al Lewis, Founder and President of the Disease Management Purchasing Consortium International, Inc. informs us that “population health is the provision of free (or financially incentivized) health-related tests, education and support services to groups who are (rightly or wrongly) believed—due to demographics, claims history or even company/health plan policy—to be at risk for chronic disease or chronic disease exacerbations absent those interventions, whether or not such interventions are requested by the employee or member.”

The second issue of Population Health News will include additional responses from Population Health Thought Leaders. Stay tuned.

Tuesday
Jan282014

Effectiveness of SMS in healthcare

By Krista Burris, January 28, 2014

Healthcare is at a tipping point and as such, unprecedented efforts are being made to improve health outcomes and foster efficiencies in healthcare delivery. What seems promising with the current reform and transformation efforts is the convergence of existing mass markets influencing healthcare innovation. For example, leveraging mobile phones to track, monitor, and engage patients in lifestyle and self-health management. Mobile text messaging communication in particular has proven to be an effective way to foster desired behavior change in patients and improve the way in which care is delivered by capturing important data that is actionable.

The need for improving outcomes and creating efficiency becomes increasingly important in the context of the coverage expansion in the Affordable Care Act where millions of Americans will enter the system, utilizing more healthcare resources. In particular, the Medicaid expansion is projected to result in a total of 75.6 million enrollees for 2014, an increase of roughly 19.5 million as a result of the ACA[i]. Leveraging mobile text message communication to facilitate convenient and efficient communication among patients and providers, as well encouraging desired behavior change by providing patients with educational tools to improve health outcomes, is encouraging to achieve on the triple-aim objective of healthcare reform[ii].

The opportunities to innovate using mobile technologies among the low-income and underserved populations are robust. A review of several research publications as well as surveying key constituents within the healthcare ecosystem serving these populations[iii], it is clear that the unmet needs plaguing the healthcare safety-net and contributing to waste include poor appointment attendance[iv], poor medication adherence[v], and poor health literacy[vi].

Extending the successes of current mobile text message patient engagement strategies to each of these unmet needs has the potential to reduce waste and inefficiencies in the system by improving health literacy and self-health management of low-income and underserved populations.

SMS text-messaging has shown a positive impact on fostering the desired behavior change in patients. A review of existing studies show that text messaging can support improvement in appointment attendance, increased medication adherence, and enhanced literacy through educational content outreach.

SMS text message appointment reminders

Patients failing to attend their scheduled doctor visits contribute to inefficiencies and misused resources[vii]. In general it is found that a reminder, whether it be by text or phone, is helpful in improving attendance, however SMS technology is a more cost-effective approach[viii].

A 2012 study analyzing the effect of SMS text reminders to reduce nonattendance for hospital outpatient visits found a significant difference in the attendance rate of patients who received a text reminder compared to patients who received no reminder[ix]. The results concluded that the attendance rate for patients who received text message reminders over the 4 month period were significantly higher (79.2%) compared to the attendance rate of those who received no reminder (35.5%).

Another study measuring the impact of SMS appointment reminders for outpatient clinic visits in Brazil found that text message reminders reduced nonattendance rates, improving patients’ care and ensuring the right care at the right time[x]. The nonattendance reduction rates for appointments at the four outpatient clinics studied were 0.82% (p= .590), 3.55% (p= .009), 5.75% (p= .022), and 14.49% (p= < .001).  These results suggest that text is an effective and efficient way to ensure patients attend their scheduled clinic visits and do not have interrupted care.

SMS text message medication reminders

Patients’ failure to adhere to their medication regimen can lead to unnecessary disease progression and complications. This contributes to waste in the healthcare system including preventable visits to the emergency room and increased utilization of other healthcare resources. Researchers have evaluated the impact of SMS text reminders on promoting medication adherence. The results are promising, suggesting text as an efficient and effective way to ensure patients take their medication.

The World Health Organization conducted a review of trials and studies that evaluated the effectiveness of mobile text medication reminders for HIV patients on anti-retroviral therapy drugs[xi]. The overall conclusion was that patients who receive text message reminders had a significantly higher adherence rate to their medications compared to patients that did not receive any kind of reminder. For conditions such as HIV where medication adherence is critical in preventing or stalling disease progression towards AIDS, as well as other comorbidities, the use of SMS technology can enable proper compliance of medication needs.

A study reviewing SMS reminders for diabetic patients concluded that text reminders improves adherence to oral antidiabetics[xii]. In the study 56 patients were confirmed to receive text reminders to take their medication, compared to 48 patients who received no reminder. Medication of both groups was measured using Real Time Medication Monitoring (RTMM) of oral antidiabetics in terms of (1) days without dosing; (2) missed doses; (3) doses taken within predefined standardized time windows. Patients' experiences were surveyed through questionnaires. The results found that patients who received reminders had a higher rate of adherence including a higher rate of taking their medication in the predefined time interval of receiving the reminder. The study also concluded through the patient survey questionnaire that patients found the reminders helpful.

SMS text message delivering educational content

SMS text-based education is emerging as an effective way to engage patients in better self-care. Lack of education around basic health information leads to approximately $106 billion to $238 billion in economic burden each year[xiii].  Text message outreach with educational content can be an efficient way to improve patients’ health literacy.

The Center for Connected Health in Boston reported in a study that text messaging improved treatment adherence and self-care for dermatology patients suffering from atopic dermatitis[xiv]. In the study, 25 patients received daily text messages over a period of six weeks. The text messages included treatment reminders and educational content pertaining to their health condition. At the end of the six week study, patients reported and improvement of treatment adherence of 72% and roughly 68% of the patients reported an improvement in self-care behaviors to help their conditions.

Two other studies evaluated the use of text messaging in improving self-care and desired behavior change for Type 1 diabetic patients[xv]. One study tailored text message communication to self-management goals, as well as untailored content such as newsletters and tips from other patients. The results showed that the patients enrolled in the text program were engaged in interacting with the technology. The participants seemed to enjoy the community aspect of the technology through the ability to connect with their provider and peers. The second study evaluated the use of text message technology among families of children with type 1 diabetes. In this study, the parents received informational messages pertaining to their children’s care needs. The study results concluded that the text messages were helpful and aided in better dialogue between parent and child around the disease condition.

Ensuring proper self-care is important for patients living with chronic disease as much of the care needed to manage these diseases occurs outside of the clinic and provider supervision. Providing patients with easy and consistent access to information to better understand their conditions and comply with proper care practices can lead to improved health outcomes.

Conclusion

Mobile text communication can be a cost-efficient and effective way to engage patients in the desired behavior change to improve appointment attendance, medication adherence, and self-care management of disease. As the healthcare system transitions to a focus on improving health outcomes, engaging patients in the management of their health is critical. SMS text messaging is a low-cost way to facilitate engagement and enhance the health literacy of individuals living with chronic conditions and other health challenges.


[i] National Health Expenditures Projections 2010-2020. Forecast Summary. http://www.cms.gov/Research-Statistics-Data-and-Systems/Statistics-Trends-and-Reports/NationalHealthExpendData/downloads/proj2010.pdf.

[ii] The triple-aim is a framework developed by the Institute for Healthcare Improvement to address experience of care, population health (improving outcomes), and per capita cost of healthcare services; It is generally accepted that the Affordable Care Act uses the triple-aim as a core principle to design healthcare transformation: “Moving toward the “triple-aim”: The Affordable Care Act and the implications for payment and quality reform”. http://www.ehcca.com/presentations/pfpsummit6/dentzer_1.pdf.

[iii] Feedback from the healthcare community includes discussions with senior leadership of San Francisco Community Clinic Consortium, including St. Anthony’s Foundation.

[iv] Kaplan-Lewis, E. Percac-Lima, S. “No-show to primary care appointments: why patients do not come.” Journal of Primary Care and Community Health. July 2013. http://jpc.sagepub.com/content/early/2013/07/26/2150131913498513.abstract.

Anecdotal feedback from St. Anthony’s Foundation reported an approximate $250 loss in revenue from each no-show appointment.

[v] Nichol, M.B. Knight, T.K. Priest, J.L. Wu, J. Cantrell, C.R. “Nonadherence to clinical practice guidelines and medications for multiple chronic conditions in a California Medicaid population.” Journal of the American Pharmacist Association. 2010. http://japha.org/article.aspx?articleid=1043767.

[vi] Somers, S. Mahadevan, R. “Health Literacy: implications of the Affordable Care Act.” The Institute of Medicine, Center for Health Care Strategies, Inc. 2010. http://www.iom.edu/~/media/Files/Activity%20Files/PublicHealth/HealthLiteracy/Commissioned%20Papers/Health%20Literacy%20Implications%20of%20Health%20Care%20Reform.pdf.

[vii] Hasvold, P.E. Wootton, R. “Use of telephone and SMS reminders to improve attendance at hospital appointments: a systematic review”. Journal of Telemedicine & Telecare. 2011. http://www.ncbi.nlm.nih.gov/pubmed/21933898.

[viii] Chen, ZW. Fang, LZ. Chen, LY. Dai, HL. “Comparison of an SMS text messaging and phone reminder to improve attendance at a health promotion center: a randomized controlled trial.” http://www.ncbi.nlm.nih.gov/pubmed/18196610.

[ix] Prasad, S. Anand, R. Use of mobile telephone short message service as a reminder: the effect on patient attendance.” International Dentistry Journal. 2012. http://www.ncbi.nlm.nih.gov/pubmed/22251033.

[x] da ,Costa TM, Salomão, PL. Martha, AS. Pisa, IT. Sigulem, D. “The impact of short message service text messages sent as appointment reminders to patients' cell phones at outpatient clinics in São Paulo, Brazil.” 2010. http://www.ncbi.nlm.nih.gov/pubmed/19783204.

[xi] Sharma, P. Agarwal. P. “Mobile phone text messaging for promoting adherence to antiretroviral therapy in patients with HIV infection.” The WHO Reproductive Health Library. The World Health Organization. 2012. http://apps.who.int/rhl/hiv_aids/cd009756_sharmap_com/en/index.html.

[xii] Vervolet, M. van Dijk, L. Santen-Reestman, J. “SMS reminders improve adherence to oral medication in type 2 diabetes patients who are real time electronically monitored” In J Med Inform. 2012;81(9); 594-604. http://www.ncbi.nlm.nih.gov/pubmed/22652012.

[xiii] Vernon, JA. Trujillo, A. “Low Health Literacy: Implications for National Health Policy.” Rep. Washington: George Washington University, 2007. http://sphhs.gwu.edu/departments/healthpolicy/CHPR/downloads/LowHealthLiteracyReport10_4_07.pdf

[xiv] Pena-Robichauz, V. Kvedar, J. Watson, A. “Text Message as a Reminder Aid and Educational Tool in Adults and Adolescents with Atopic Dermatitis: A Pilot Study.” Dermatology Research and Practice. 2010. http://www.connected-health.org/programs/dermatology/research-materials--external-resources/text-messages-as-a-reminder-aid-and-educational-tool-in-adults-and-adolescents-with-atopic-dermatitis-a-pilot-study.aspx.

[xv] Franklin, V. Greene, A. Pagliari, C. “Patients’ engagement with ‘Sweet Talk’- A text messaging support system for young people with diabetes.” Journal of Medical Internet Research. 2008. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2483928/#!po=2.50000.

Wangberg, SC. Arsand, E. Andersson, N. “Diabestes education via mobile text messaging.” Journal of Telemedicine and Telecare. 2006. http://www.ncbi.nlm.nih.gov/pubmed/16884582

Thursday
Dec052013

A Stitch In Time…Will Cost A Lot of Money

By Kim Bellard, December 5, 2013

It almost seems like piling on to pick on hospital pricing anymore, following such incisive articles already this year such as Steven Brill’s Time article “Bitter Pill” or Elizabeth Rosenthal’s “The $2.7 Trillion Medical Bill” in the New York Times, but there just continue to be more examples of how irrational health care charges are in the U.S. health care system. 

Jillian and Joseph Bernstein just published a study in JAMA Internal Medicine, focusing on the difficulty in getting hospitals’ prices for electrocardiograms (ECGs) – and comparing that with the ease of obtaining those same hospitals’ prices for parking.  This followed a study published earlier this year that looked at the difficulty of getting hospitals to quote prices for hip replacement.  The Bernsteins were testing the hypothesis that perhaps hip replacements included too many variables, thus making quoting prices difficult, and so chose the more standardized ECGs. 

The results will probably not surprise anyone.  They contacted twenty Philadelphia area hospitals to ask for the two kinds of prices.  Nineteen of the hospitals were easily able to provide the cost for parking, but only three could come up with a price for the ECG (and don’t you want to know what hospital couldn’t even quote its own prices for parking?).  It’s also interesting to note that the three ECG prices they got ranged from $137 to $1200, almost a tenfold difference.

The authors conclude that “hospitals seem able to provide prices when they want to; yet for even basic medical services, prices remain opaque.”

Meanwhile, Ms. Rosenthal of The Times was at it again, this time in “As Hospital Prices Soar, a Stitch Tops $500.  The article points out not only simple stitches that cost $500 in ERs but also IV bags that cost under $1 but for which hospitals charge $137, or $20 neck braces for which that hospitals want $154.  And these are not the most egregious examples cited. 

Few people pay full charges, of course – except for the people without insurance, who are probably least able to pay them – but the hospitals build their charge structures due to what one physician told The Times was the Saudi sheikh problem: “you don’t really want to change your charges if you have a Saudi sheikh come in with a suitcase full of cash who’s going to pay full charges.”  That’s what passes for pricing strategy in U.S. hospitals?

The Times attributes the seemingly unfettered hospital pricing to increasing market dominance, using Sutter Health in California as a prime example.  Indeed, a recent study in JAMA found that price increases – not increased demand or aging of the population – accounted for 91% of the increases in overall health care costs since 2000, with market consolidation blamed as one of the key drivers of these price increases. 

We’ve been waiting for patients to care about prices for some time, especially with the advent of high deductible plans, and there is some evidence perhaps that is starting.  A survey by TransUnion Healthcare found that 55% of insured consumers have started to pay more attention to their medical bills in the past year, and that 67% claim they want to know not just how much services cost them directly but also how much their insurance is paying on their behalf. 

The TransUnion survey also found that, when it comes to choosing providers, consumers rated “makes it easy to see the cost of services” right below “world class specialists and technology,” and – amazingly -- above high quality scores or proximity to home.  Even more interesting was that the survey found some correlation between consumers’ perception of quality of care with their satisfaction with the billing experience, a fact to which one hopes providers are paying close attention. 

Ironically, health plans now are expressing some concern over exactly what type of transparency they support.  AHIP, their trade association, indicated that calls for an all-payer claims database, which would facilitate comparisons between providers and across payors, could backfire, raising the spectre of lower paid providers demanding higher reimbursements once they started seeing what other providers were being paid.  Having once led transparency efforts for a large health plan, I can affirm that this concern is very much on the minds of provider contracting staff.

At the same time, many physician specialty organizations, including the AMA, continue to balk at many forms of transparency.  Lately they have questioned the wisdom of a proposal to make public the Medicare payments to physicians, something the Wall Street Journal, among other organizations, has long been pushing for.  They worry that the data could be confusing or misleading to consumers, although it’s hard to see what could be more confusing or misleading to what we’re doing now.

Still, not everyone is a fan of transparency, at least not as it has been attempted so far.  The ever-quotable, always insightful Uwe Reinhardt, writing recently in JAMA, throws cold water on many previous efforts.  In his words, “[T]he idea that American patients should 'shop around for cost-effective health care' so far has been about as sensible as blindfolding shoppers entering a department store in the hope that inside they can and will shop smartly for the merchandise they seek,  In practice, this idea has been as silly as it has been cruel." 

Reinhardt does think that health IT can change the game by more easily making pricing available to consumers, citing such innovators as Healthcare Blue Book and Castlight Health.  He likes the reference pricing approach (which I discussed recently), which involves setting a uniform payment limit and making providers compete for anything they want to try to charge above those limits. 

Of course, simply disclosing costs is only a necessary, but not sufficient, change to bring about true competitive pressures for pricing.  We’re moving to ICD-10 codes, and a cottage industry has emerged to find the funniest examples.  For example, there are separate codes for being struck by a turtle, orca, or duck, not to mention for walking into a lamppost.  You know that in back offices of provider organizations and health plans, diligent bean counters are coming up with prices for each of these. 

If we merely made visible the existing pricing structures, which are built for billing and diagnostic accuracy rather than for consumer understanding, it’d be liking going to Dr. Reinhardt’s metaphorical department store and finding that each item showed the cost of every party involved in the manufacture, marketing, and distribution of the item, plus costs for a variety of additional variables based on the consumer’s needs.  No exactly an Amazon one-click kind of experience.

Despite the big challenges ahead for it, I do believe that, whether it is AHIP, AMA, AHA, or any other providers making a living in the current arcane system, there is a danger that if they don’t get on the transparency bus, they may get run over by it.  The Saudi sheikh strategy can’t last.

Tuesday
Nov122013

Patient Engagement Health Literacy

By Krista Burris, November 12, 2013

The importance of patient engagement is buttressed as healthcare transitions to outcomes-based models where patients’ involvement in their health is necessary to achieve the objectives of care delivery transformation. Empowering patients with tools and resources that enable individuals to better manage their healthcare needs is a promising approach to encourage patient accountability in improving their own health outcomes. However, the notion of patient engagement relies on the idea that once patients become engaged, they are well-informed enough to know how to interpret and act upon the health information presented to them; in other words to maximize the value of having patients engaged in their health, they actually have to have a good enough understanding of their health conditions, terminology, and treatment in order to make the appropriate decisions around their health needs.

The IOM defines health literacy as “ the degree to which individuals have the capacity to obtain, process, and understand basic health information and services needed to make appropriate health decisions.” According to a National Assessment of Adult Literacy report, it is found that approximately 36% of US adults have basic or below basic health literacy, resulting in an economic burden of $106 billion to $238 billion annually.[1] The same report found that low-health literacy rates are almost double for underserved populations with approximately 62% of minorities, 53% of the uninsured and 60% of Medicaid beneficiaries having limited health literacy.

Given that individuals with low-health literacy tend to have poorer health outcomes and create costs in the system through the misallocation of resources (for example: more likely to forgo preventative care while more likely to be hospitalized)[2], there are implications with respect to the coverage expansion provisions of the ACA that will bring millions in this demographic into the system. The virtue is that these individuals become somewhat more captive facilitating outreach and education efforts. The challenge is how to implement patient education policies efficiently to reduce the administrative burden of increasing demand with somewhat static supply in an already taxed infrastructure.

This is where I believe the unprecedented government and private market collaborations to foster efficiencies and innovations become hopeful. There is an incredible amount of effort in the digital and technology space to leverage the existing social and cultural norms of the mainstream including those in the low-health literacy demographics. For example, mHealth technologies that leverage the 91% mobile (56% smartphone) penetration rates among US adults[3] making access to patient & health information, biosensors and tracking that use smartphone technology, and communication with providers nearly automated.

I recently started working with a non-profit start-up that does SMS patient education by disease condition, appointment, event, and medication reminders, as well as group messaging, all designed and tailored for low-income individuals. Early results are showing a positive impact on improving attendance of a chronic-disease self-management program through event reminders, and we will have more information on the improvement of knowledge and outcomes, along with the engagement aspect of the technology in early- to-mid 2014.  

Patient engagement, though relatively early in its life-cycle, has shown promising results which lends itself to continued exploration and investments to determine how to best leverage effective approaches moving forward.  


[1] Vernon, JA. Trujillo, A. Rosenbaum, S. DeBuono, B. “Low Health Literacy: Implications for National Health Policy” 2007.
http://sphhs.gwu.edu/departments/healthpolicy/CHPR/downloads/LowHealthLiteracyReport10_4_07.pdf

[2] National Network of Libraries of Medicine. “Health Litercy”. 2013.
http://nnlm.gov/outreach/consumer/hlthlit.html>.

[3] Smith, A. “Smartphone Ownership 2013” Pew Internet and American Life Project. 2013.
http://pewinternet.org/Reports/2013/Smartphone-Ownership-2013/Findings.aspx

Friday
Jul192013

CMS Pronouncements on Pioneer ACO Results and 2014 HIX Premiums

By Clive Riddle, July 18, 2013

This week CMS announced results from the first performance year of the Pioneer Accountable Care Organization (ACO) Model, along with a new report that finds premiums in the Health Insurance Marketplace will be nearly 20 percent lower in 2014 than previously expected.

Here are the Pioneer ACO results that CMS is touting:

  • Costs for the more than 669,000 beneficiaries aligned to Pioneer ACOs grew by only 0.3 percent in 2012 where as costs for similar beneficiaries grew by 0.8 percent in the same period.
  • 13 out of 32 pioneer ACOs produced shared savings with CMS, generating a gross savings of $87.6 million in 2012 and saving nearly $33 million for Medicare
  •  Pioneer ACOs earned over $76 million in compensation.
  • Only 2 Pioneer ACOs had shared losses totaling approximately $4.0 million.
  • All 32 Pioneer ACOs successfully reported quality measures and achieved the maximum reporting rate for the first performance year, with all earning incentive payments. 
  • Overall, Pioneer ACOs performed better than published rates in fee-for-service Medicare for all 15 clinical quality measures for which comparable data are available.
  • 25 of 32 Pioneer ACOs generated lower risk-adjusted readmission rates for their aligned beneficiaries than the benchmark rate for all Medicare fee-for-service beneficiaries.
  • The median rate among Pioneer ACOs on blood pressure control among beneficiaries with diabetes was 68 percent compared to the comparison value of 55 percent as measured in adult diabetic population in 10 managed care plans across 7 states from 2000 to 2001. 
  •  Pioneer ACOs performed better on clinical quality measures that assess low density lipoprotein (LDL) control for patients with diabetes. The median rate among Pioneer ACOs for LDO control among beneficiaries with diabetes was 57 percent compared to 48 percent in an adult diabetic population in 10 managed care plans across 7 states from 2000 to 2001.
  • Pioneer ACOs were rated higher by ACO beneficiaries on all four patient experience measures relative to the 2011 Medicare fee-for-service results.

CMS did disclose that seven Pioneer ACOs that did not produce savings intend to switch to the Medicare Shared Savings Program, and two Pioneer ACOs have indicated their intent to leave the program. 

The Wall Street Journal  didn’t interpret these results as rosily as did CMS. Here is the WSJ take, from their July 16th article Mixed Results in Health Pilot Plan: “All of the 32 health systems in the so-called Pioneer Accountable Care Organization program improved patient care on quality measures such as cancer screenings and controlling blood pressure, according to data to be released Tuesday by the Centers for Medicare and Medicaid Services. But only 18 of the 32 managed to lower costs for the Medicare patients they treated—a major goal of the effort. Two hospitals lost money on the program in the first year. Seven have notified CMS that they intend to move to another program where they will face less financial risk. Two others have indicated they intend to leave the program,”

On the Health Insurance Marketplace front, CMS touted findings from a just released twelve-page ASPE Issue Brief: Market Competition Works: Proposed Silver Premiums in the 2014 Individual and Small

Group Markets Are Nearly 20% Lower than Expected. CMS notes the report found that:

  • In the 11 states (including the District of Columbia) that have made information available for the individual market, proposed premiums for 2014 are on average 18 percent lower than HHS’ estimate of 2014 individual market premiums derived from CBO publications.
  • In the six states that have made information available in the small group market, proposed premiums are estimated to be on average 18 percent lower than the premium a small employer would pay for similar coverage without the Affordable Care Act.
  • Preliminary premiums appear to be affordable even for young men. For example, in Los Angeles - the county with the largest number of uninsured Americans in the nation - the lowest cost silver plan in 2014 for a 25-year-old individual costs $174 per month without a tax credit, $34 per month for an individual whose income is $17,235, and a catastrophic plan can be purchased for $117 per month for an individual.

Here a chart provided in the ASPE report, comparing the ASPE premium estimate for Individual Silver premiums compared to actual premiums for applicable states: