We all know that college is often not the healthiest time period for many people between all-nighters, dorm food, caffeine, and alcohol. I find the correlation between health and grades interesting and got the original source for it to support the infographic that I’m sharing below.

Via: Online Colleges Guide
Infographic: Student Health
Do Hospital Ratings Matter?
Younger people who make more money and have a college education are most likely to care about hospital ratings. Not a big surprise. But, less than half of those surveyed by the Thomson Reuters 2010 PULSE Healthcare Survey were “very likely” to even look for a hospital rating. In my opinion, we’re still in a world where we make decisions about our healthcare facilities by looking out the windshield of our car. [borrowing from someone's else's analogy]
I’m not sure I understand why income isn’t a straight line correlation with this. It’s those making >$100K and then those making less than $25K that are most likely to look for a hospital rating.
As you get into the impact of the ratings, I thought there were several interesting things. For example:
- Younger people were more likely to change hospitals because of a low rating, but least likely to be influenced by a top rating.
- For a serious illness, younger people were more likely to be influenced by the top rating while older people were more likely to choose the local hospital over the top rated hospital.
- Education was clearly correlated with choice especially when faced with a serious illness.
This generally correlates with the infographic I shared previously on millenials.
My PCMA Presentation On Copay Cards
I’m giving my PCMA presentation in FL right now about copay cards. For those of you that can’t attend, here is my executive summary and a copy of some slides. (My actual slide deck was shorter for presentation but this gives more data to those of you looking online.)
I focused on three key points:
- Copay cards are a direct threat to the PBM model. They can run against the idea of copay differentials and formulary tiers. Since they’re not allowed at mail order, they create a disconnect there. And, eventually, I believe they will be in conflict with rebates (i.e., why pay for both).
- The cost numbers to the payer are huge ($32B according to Visante) although this is less than $1 per Rx over that 10 year time period. But, it’s concentrated on 3% of all scripts which makes it a big deal.
- There should be a win-win IF they are concentrated on specialty medications with a link to improved adherence and health outcomes.
There doesn’t seem to be clear data (although another article says it is available) but the general data shows that availability and use of copay cards is growing rapidly.
Investing in copay cards seems to be based on four myths:
- Cost is a large issue in non-adherence. It’s an issue but not the dominant issue.
- Costs will influence physician choice. The reality is that they don’t know the costs and see this as a pharmacist issue.
- Copay cards are a cost effective way to improve adherence. They get about a 10% improvement in MPR which sometimes produces a positive ROI. There are much lower cost ways to get a similar improvement.
- Copay cards can delay conversion to generics. This is still in the air with the Pfizer Lipitor program, but if it works, it will be a lightning rod for PBMs and payers to focus on.
This topic’s not going away. For now, the easy PBM response is to close down the formulary, move more scripts to mail, and implement prior authorization programs. I would expect this will happen more often unless there is more transparency here around what’s happening and the benefits.
Reading Labels; Understanding Side Effects
We all know people don’t read labels on their medications or their over-the-counter (OTC) pills. If they did, their eyes would gloss over, and they would start to worry about all the side effects. Of course, this is a problem since some things can create drug-drug interactions or create an overdose.
I was reading an article in USA Today called “Read the labels because ‘all drugs have side effects’“. It lists out Tylenol, Advil, Motrin, Benadryl, Claritin, and Zantac as examples of OTC medications with overdose risks. It gives more details on these and provides several other examples. Here’s a quote from the article:
“It’s important for the public to realize that all drugs have side effects. It doesn’t matter if they’re prescription, over-the-counter, herbals or nutritional supplements. If they have active ingredients, they have side effects and can interfere with normal body functions.” Brian Strom, director of the Center for Clinical Epidemiology and Biostatistics and the University of Pennsylvania
The reality is that we’re making an unconscious choice about tradeoffs. Do the risks and probabilities of the side effects outweigh the probabilities of improvement? Of course, in many situations, they do.
I think this points to several things:
- Document everything you take whether it’s an Rx, OTC, herbal, or supplement.
- Read labels.
- Tell your MD and Pharmacist what your taking especially if it’s regular and long-term.
Ideally, once we have broad use of PHRs (personal health records) which are tied into our grocery bills to track purchases and use then computer algorithms can look for risk factors. And, with personalized medicine, we might one day know which things to avoid based on our genes.
The Well Being Index
I find this to be an interesting study (the Gallup-Healthways Well-Being Index). Gallup and Healthways are surveying 1,000 people per day for 350 days per year and has been doing it for several years.
I was reading one of their brochures looking at data from 1/2/10 – 12/30/10. Here’s a few observations:
- The index score across all states varies by a narrow range of 9.3 points.
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The top 5 states (in 2010) were:
- Hawaii
- Wyoming
- North Dakota
- Alaska
- Colorado
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The top 5 large cities were:
- Washington-Arlington-Alexandria, DC-VA-MD-WV
- Austin-Round Rock, TX
- San Jose-Sunnyvale-Santa Clara, CA
- Seattle-Tacoma-Bellevue, WA
- San Francisco-Oakland-Freemont, CA
The overall composite score is based on six sub-indices:
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Life Evaluation
- Partially based on the Cantril Self-Anchoring Striving Scale
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Emotional Health
- A composite of how the consumer felt yesterday along nine dimensions
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Physical Health
- Body Mass Index
- Disease burden
- Sick days
- Physical pain
- Daily energy
- History of disease
- Daily health experiences
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Healthy Behavior
- Life style habits
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Work Environment
- Feelings and perceptions about work
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Basic Access
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13 items measuring:
- Access to food
- Access to shelter
- Access to healthcare
- Having a safe and satisfying place to live
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This gives an interesting macro view of healthcare at a localized level. The thing I’d like to learn is how this is shaping communities and health care entities to act different. Is this changing engagement strategies? Is this changing regional investments? Can the data be tied back to individuals and used to help improve outcomes?
90 Day Rxs Get Better Adherence
I think we can all agree now that 90-day prescriptions are correlated with better adherence (and the percentage of retail 90-day scripts is going up). The latest study here is from Walgreens.
A new Walgreens study analyzing relative medication adherence of patients filling 90-day supplies of maintenance medications using retail and mail order channels over a one-year period concluded that patients who fill prescriptions via retail have as high or slightly higher adherence levels than those utilizing mail (77 percent vs. 76 percent). The study, “Medication Adherence for 90-Day Quantities of Medication Dispensed Through Retail and Mail Order Pharmacies,” was recently released in the November issue of The American Journal of Managed Care.
This reflects other studies from CVS Caremark, Express Scripts, Kaiser, and BCBSNC. (Although sometimes it shows mail order as better and sometimes retail.)
Of course, the data is slightly different in either case, but the general consensus is the same. So, the question is what’s next. How should you compare the two channels?
- Generic fill rate
- Overall health literacy and health outcomes
- Patient experience / satisfaction
- Payer cost
- Cost to fill
This issue won’t go away so it’s going to be important to continue to find ways to compare the channels and find populations that are similar for comparison or remove the bias.
Rock Health Report on Digital Health
I saw this out on Slideshare, and I thought I would share it here.
NYT Article On ACOs Replacing Health Insurers
I think it’s a bold (maybe foolish) prediction that is made in the NY Times article saying that ACOs (Accountable Care Organizations) will be the end of health insurers. We don’t even know that ACOs will work yet. You can even see some debate on this topic in this blog post on Why ACOs Won’t Work.
But, I’m not an ACO expert so let me focus on what I found interesting in the NYT article. It points out a few things:
- The focus on preventative care
- The fact that some managed care organizations are changing (and others will too)
- The fact that “ACOs” (in whatever form they take) will need a platform
This is what I find interesting.
I think the concept of an ACO (or Patient Centered Medical Home) where care becomes localized and there is greater focus on prevention and wellness not just sick-care is great. We should all want that to happen in some form.
But, in all cases, this changes the data needs and role of the physician. They need to be empowered with new information and tools. How do they manage their panel of diabetics? Will some database track them and monitor their screenings and blood sugar?
When the field of medicine is constantly changing with new drugs and new studies, how will physicians have the best practices pulled into their practice? They won’t want to wait the 16 years it takes for things to work their way through the system. They’ll actually want to embrace the best solutions and see more comparative effectiveness information.
I see a huge opportunity here for someone to create an ACO “platform” that embeds business rules, tele-monitoring, consumer engagement, and reporting into a way to create the “i-physician” (informed physician) of the future.
Uping The RxAnte: An Adherence Predictive Model
Those of you that have heard me speak know that I look at this topic of predicting adherence both from an area of fascination along with the eye of a skeptic. While I love the concept of predicting someone’s adherence and therefore determining how to best support them from an intervention approach, I also believe that the general predictors are pretty straightforward:
- Number of medications
- Plan design (i.e., cost)
- Gender
- Health literacy and engagement (see PAM score research)
And, this is a hot topic (see post on FICO adherence score). You can see my prior posts on some different studies, on the Merck Estimator, and some notes from the NEHI event on this topic. It generated a good dialogue on Kevin MD’s blog when I talked about paying MD for adherence.
I had a chance to talk with Josh Benner the CEO of RxAnte the other day. It sounds very interesting, and they have an impressive team assembled. In general, they’re focused on:
- Predictive modeling
- Decision rules
- Monitoring and managing claims to track adherence
- Evaluating effectiveness of interventions
- And creating a learning system
There are definitely some correlations to the work we do at Silverlink Communications around adherence. We’re helping clients determine a communication strategy that might include call center agents, direct mail, automated calls, e-mail, SMS, mobile, or web solutions. We’re looking at segmentation and prioritization. We’re looking at past behavior and messaging. The goal is how to best spend resources to drive health outcomes from primary adherence to sustaining adherence. This is a challenge, and we all need to build upon the work that each other is doing to improve in this area. We have a huge problem globally with adherence.
Why People Under 35 Are Stressed

This is a great list from what Beth Braverman calls “The Beaten Generation” looking at what’s happened since 2005:
- Their home equity has dropped 51%
- Their net worth is down 55%.
- Their student debt is up 19%.
- Unemployment for college grads is up 64%.
- Their income is down 4.5%
- 31% more are living with their parents.
- The birth rate is down 7.1%.
- 22% less think they’ll be able to retire by age 65.
And, we wonder why they’re pessimistic…
Stressed Out Workers Spend 2X On Healthcare
Are you stressed out? In today’s economy, many people are. Whether it’s being a caregiver, your job, or other concerns (like just paying the bills), have you ever thought about how much that costs you?
According to some data shared by Money Magazine, here are some examples of stress related ailments and their average annual costs:
- Obesity – $2,600-$4,900
- Back Pain – $1,300
- Insomnia – $200-$1,200
- Hypertension – $1,100
- Teeth Grinding – $200-$1,100
That’s real money!
Some of their suggestions (other than going on a long vacation):
- Take advantage of the EAP (Employee Assistance Program) that your company might offer.
- Use the wellness programs that your employer might offer (since 74% of them do offer something).
- Go see a therapist and look into CBT (cognitive behavioral therapy).
- Workout.
- Take a break from e-mail (or your smartphone and constant Facebook updates).
- Stop multi-tasking.
- Meditate.
(Beat Stress For Less by Kate Ashford)
Be Happier To Be Healthier

Since happiness is correlated with better health, I thought this article in Money Magazine was relevant in the hints it gave about becoming happier. (Jan/Feb 2012 article by Donna Rosato)
- Spend a little a lot of the time. (multiple, small indulgences are better than less, large indulgences)
- Free yourself from credit card debt. (less satisfied in your relationship when have debt)
- Focus on having a rainy day fund. (best predictor of financial satisfaction)
- Find a new job. (if you’re not happy)
- Give more to charity.
- Use your vacation days. (even anticipation of a vacation increases happiness)
Here are a few more articles on happiness and health:
The New Post-Recession Consumer
I’m always fascinated by segmentation, and I think understanding how market events like the Great Recession have changed the fundamentals of the game is important. In November 2011, Money Magazine shared some data from a survey they did. Here are some of the results.
- 53% of Americans aren’t sure their kids will better off then they are.
- 67% are worked their quality of life will suffer in retirement.
- 80% say they’re eating at home more.
- 75% say time with family is more important than ever.
“Big periods of economic upheaval can define a generation. Not so much because of the depth of this recession, but because of its prolonged nature, it will have lasting impact.” Paul Flatters, Managing Director of Trajectory Partnership. (How The Economy Changed You by Dan Kadlec)
- 85% spend more time looking for deals before they buy. (hence the couponing craze)
- 57% are building an emergency fund.
- 51% are pessimistic about the US economy in the next 12 months.
- 61% are pessimistic about government officials spurring growth.
I don’t know about you, but I see a ton of nuggets in here about positioning generic drugs, preventative health, adherence, mail order, and many other cost savings actions in healthcare.
Pharmacy Needs A Neuromarketing Study
I was reading this article in Fast Company about neuromarketing with a focus on the CEO of NeuroFocus. Companies like PepsiCo, Intel, CBS, ESPN, and eBay have used them and many others are trying work in this area. But, I’ve never heard of a healthcare company doing anything in this space. I’ve talked about this before in my article about the book Buyology. It’s fascinating, and the mobile tool that NeuroFocus has created could create new ways of capturing data.
One interesting example he talked about was the expression of a person on a poster (for example). If the expression is too easy to decipher, we simply move on…BUT if it’s hard to decipher, it causes us to pause and think.
He also talks about always putting images on the left hand side of the screen and words on the right. (Seems applicable to direct mail and maybe my next slide presentation.)
Another example is that the brain loves curves not sharp edges.
Given the shifting pharmacy marketplace, I would think this is a study that the industry needs. The PBMs should better understand what the consumer thinks about when they hear the word mail order. Manufacturers should understand the reaction to brand names or copay cards. The retailers should think about how brand equity plays into choice. There are endless opportunities here. (A business opportunity perhaps!)
(They Have Hacked Your Brain by Adam Penenberg)
Adam Fein From Last Year’s PCMA Event On Copay Cards
Just revisiting what Adam Fein talked about last year as I work on my slides for this year.
How Does Pharma Measure ROI?
I found this chart from Cutting Edge Information a good summary of what metrics pharma uses in measuring ROI. (This was in the most recent PharmaVOICE magazine.) I would assume copay cards address most of these with a 4:1-6:1 ROI being quoted in the Visante study by PCMA.
Speaking at the upcoming PCMA Event
I just got added to the agenda for the February PCMA event so look me up if you’ll be there. I’ve spoken on the topic of copay cards a few times for AIS in the past. Since then, there have been a few significant events:
- The Pfizer Lipitor strategy and push around a copay card.
- The PCMA study on the impact of copay cards.
- CVS Caremark’s changes to their formulary of which some were attributed to the existence of copay cards.
As always, I welcome comments, articles, suggestions, or data to support this discussion. It is certainly one where there is limited data or facts. Thanks.
The Value of the Family Dinner
Studies have shown that kids who eat dinner with their families do better in school, feel more socially connected to their parents, have better peer relationships, and are less likely to try drugs and alcohol.
Wow! That quote from Grace Freedman at eatdinner.org certainly makes a compelling case. The article in Spirit magazine (Jan 2012) goes on to say that according to a 2010 Pew Research poll only about half of families make dinner a daily ritual and roughly 20% eat together only occasionally or never.
It certainly is a challenge with long workdays, commutes, travel, and kid activities.
Who’s the 1% in healthcare?
As we all have known, healthcare costs are driven by the minority. According to the Agency for Healthcare Research and Quality, the top 1% account for 22% of healthcare spending in the US or about $90,000 per year. (USA Today article)
So, what are the characteristics of these people:
- White, non-Hispanic
- Female
- In poor health
- Elderly
- Users of publicly funded healthcare
Only about 20% of the high cost consumers stay in that bucket for two straight years…which I think is good. But, I guess you have to look at what percentage die during that period since a lot of costs are concentrated at the end-of-life.
Obviously it’s critical to develop solutions to engage and manage these patients earlier in the process. As data gets better, our predictive algorithms around conditions will improve and we’ll be able to intervene and prevent or delay cost in the system. The key of course is doing that in a way that fully engages the healthcare team and the caregivers.
Only 2 of the top 25 “Companies for Leaders” from Healthcare
I don’t know about you but given the focus on healthcare and the percentage of our GDP that it consumes I had hoped this would be higher.
According to Fortune’s rankings (published 11/21/11), the top 5 companies were:
- IBM
- General Mills
- P&G
- Colgate-Palmolive
- McDonald’s
Eli Lilly was ranked 12th, and UnitedHealth Group was ranked 20th.
Medicare and Medicaid Social Media Use For Healthcare
As people look at ways to engage the Medicare and Medicaid populations, I continue to talk about the facts from the Pew research that shows how these demographics use technology. I was glad to see some research from PWC that also reinforced this. As you can see in the three charts below, the Medicare population uses technology similar to the average respondent while the Medicaid population uses social media for healthcare more.
Why We Need Recess At Work
More exercise = higher GPAs
More activities = better grades especially in math, English, and reading
Exercise = greater productivity and less sick days
Physical activity = increased blood flow to the brain fueling memory, attention, and creativity
Physical activity = hormones that improve mood and suppress stress
Any more information needed?
I was reading an article about research into why recess is important for kids in school. I couldn’t agree more, but it got me wondering about the need for running clubs and other fitness breaks within the corporate work day. I’m pretty sure working through lunch and eating at your desk doesn’t help. On the flipside, I’m not sure if fuzzball tables and other “dotcom” activities meet the activity level.
Food for thought…and of course this doesn’t account for potential hard dollar savings associated with better health and lower healthcare costs.
Will Patient Reported Data Augment Claims Based Models?
On the one hand, it seems fairly obvious that patient reported data (use of OTCs, exercise, food intake) is important in understanding their healthcare. On the other hand, the historical bias has been to use historical claims to predict future costs. At a minimum, I think that studies around tools like PAM (Patient Activation Measure) have shown that patient reported information is important in understanding their literacy and attitudes on healthcare. This data is critical in designing effective healthcare engagement programs. [One of the reasons that Silverlink has stressed our focus on using data for segmentation and personalization for years.]
That’s why I found one of the latest studies by Kaiser to be really important. They used both claims data and patient reported data to evaluate inpatient admission rates and costs. And, as explained below, this data increased the predictive power of their model.
The research determined that self-reported information about being in poorer health was a key determinant in predicting higher inpatient admissions and for being in the top tier for costs. Higher admission rates and costs were associated with patients who self-reported:
- Lower score for general self-rated health
- Yes to “do you need help with one or more activities of daily living?”
- Yes to “do you have a bothersome health condition?”
The addition of this self-reported information to a claims history model explained an additional 2.8 percent of variance in admissions and 4 percent in cost.
Good Health Is More Than Skin Deep
In the July 11th Time Magazine, there was a small article which I think made a great point – you can be lean and still be at risk for heart disease and diabetes due to fat. What you can’t tell by weight and appearance is the person’s genetics. Apparently, international researchers have found a specific variant of a gene that regulates where and how fat is stored. People with the “lean gene” were storing fat deeper in the body around organs and in tissues. This visceral fat is more dangerous and can impair bodily functions.
So…the key point is that even healthy looking people need to monitor their cholesterol and glucose levels. (I guess those advertisements for high cholesterol drugs were right!)
Infographic: New Year’s Resolutions
I’m not a big New Year’s Eve fan. I much rather start the new year refreshed and beginning to think about my goals for the next year. While I used to do a very rigorous 1, 3, 5, and 10-year plan every New Year’s Day, I’ve been a little slack lately. I’m going to try to be better this week and at least get some 1 and 5-year personal and professional goals captured.
With that being said, I liked this infographic from visual.ly. It’s relevant if you think in terms of prescription adherence.
RWJF Guest Post: Interprofessional Collaborative Care Will Be Key to Meeting Tomorrow’s Health Care Needs
Guest Post by Maryjoan Ladden, Ph.D., R.N., F.A.A.N., Robert Wood Johnson Foundation Senior Program Officer
Maryjoan Ladden, PhD, RN, FAAN, is a senior program officer at the Robert Wood Johnson Foundation. A nurse practitioner whose work has focused on improving health care quality and safety through health professional collaboration, her work at the Foundation addresses: faculty recruitment and education to increase the capacity of nursing programs; developing collaborative partnerships to address local nursing issues; creating the next generation of academic nurse leaders; and building senior executive leaders in nursing. She also is senior editor for the Foundation’s quarterly publication, Charting Nursing’s Future. (full bio here)
A little over a year ago, the Institute of Medicine’s landmark Future of Nursing: Leading Change, Advancing Health report put forward a series of recommendations for transforming the nation’s health care system. Among them was a call for a system in which “interprofessional collaboration and coordination are the norm.” That’s no simple assignment in a system that often operates in silos, from schooling through practice. But a number of innovators around the nation are already making headway.
Their work is the subject of a new policy brief from the Robert Wood Johnson Foundation, part of its Charting Nursing’s Future (CNF) series. The brief delves into what the IOM recommendation means for health care systems, offers case studies of several collaborative care models already in place, and examines the implications of the recommendation for how we train nurses and other health care professionals.
According to the brief, Implementing the IOM Future of Nursing Report–Part II: The Potential of Interprofessional Collaborative Care to Improve Safety and Quality, the “silo” approach must soon give way if we are to meet coming health care challenges. For example, chronic conditions are increasingly common—not surprising given an aging population. But the health care system is poorly structured to provide the sort of coordinated care and preventive services needed to give these patients quality care while reducing costs.
Some health care institutions are gearing up for the challenge.
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In Boston, where Harvard Vanguard Medical Associates developed its Complex Chronic Care (CCC) program, primary care has become interprofessional, collaborative and noticeably more efficient. Each CCC patient is assigned a nurse practitioner (NP), a registered nurse with advanced education and clinical training. The NP consults with all the patient’s subspecialists and incorporates their guidance in a single plan of care. The NP then manages and coordinates that care, connecting patients to nutritionists, social workers, and other professionals as needed. The model is dynamic, allowing patients to meet more or less frequently with the NPs and their primary care physicians, who remain responsible for the patients’ overall care.
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In New Jersey, the Camden Coalition of Health Care Providers is “revolutionizing health care delivery for Camden’s costliest patients,” according to the brief. These individuals, sometimes called super utilizers, typically rely on hospital emergency rooms for care. Not surprisingly, such patients account for an outsized share of local hospital costs, often with diagnoses that would have been more properly handled in a primary care setting. The Coalition developed its Care Management Project to reduce these unnecessary emergency room visits by treating patients where they reside, even when that means treating them on the street. A social worker, NP and bilingual medical assistant work as a team to help patients apply for government assistance, find temporary shelter, enroll in medical day programs and coordinate their primary and specialty care.
Training the Next Generation to Collaborate
Of course, the silo effect usually begins in school. In May 2011, six national education associations representing various health care professions formed the Interprofessional Education Collaborative (IPEC) and released a set of core competencies to help professional schools in crafting curricula that will prepare future clinicians to provide more collaborative, team-based care.
Such efforts are already under way at a number of institutions.
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Maine’s University of New England has developed a common undergraduate curriculum for its health professions programs in nursing, dental hygiene, athletic training, applied exercise and science, and health, wellness and occupational studies. The curriculum includes shared learning in basic science prerequisites and four new courses aimed specifically at teaching interprofessional competencies.
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In Nashville, Vanderbilt University is also pursuing an interprofessional education initiative that unites students from the medical and nursing schools with graduate students pursuing degrees in pharmacy and social work at nearby institutions. Students are assigned to interprofessional working-learning teams at ambulatory care facilities in the area.
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The Veterans Health Administration (VHA) is piloting an interprofessional initiative, as well, focused on preparing medical residents and nursing graduate students for collaborative practice. As part of the initiative, five VHA facilities have been designated Centers of Excellence and received five-year grants from the U.S. Department of Veterans Affairs. Each VHA Center of Excellence is developing its own approach to preparing health professionals for patient-centered, team-based primary care.
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In Aurora, Colorado, the University of Colorado built its new Anschutz Medical Campus with the explicit objective of creating an environment that promotes collaboration among its medical, nursing, pharmacy, dentistry and public health students. It features shared auditoriums and simulation labs, as well as student lounges and other dedicated spaces in which students from different professions can pursue common interests such as geriatrics in a collaborative fashion.
Such initiatives are clearly the wave of the future, if only because the pressures of caring for a larger, older and sicker population of patients in the years to come will drive efforts to identify efficiencies. In the words of Mary Wakefield, PhD, RN, head of the Health Resources and Services Administration, “As the health care community is looking for new strategies and new ways of organizing to optimize our efforts—teamwork is fundamental to the conversation.”
Sign up to receive future Charting Nursing’s Future policy briefs by email at www.rwjf.org/goto/cnf.
Smoking is an easy target for lowering healthcare costs
These statistics from the CDC really paint the picture…
- Smoking is estimated to cost businesses over $170 billion a year.
- Every smoker on the payroll is costing the company more than $3,500 annually in increased health insurance premiums, increased absenteeism and lost productivity.
- Smokers take, on average, 6.5 more sick leave days a year than non-smokers.
- Smokers cost 35-50% more to insure, a figure which is increasing rapidly as healthcare costs spiral.
- On average, up to 40 minutes of the working day is spent on smoking breaks, which equates to 21 working days of lost productivity per smoker per year.
This is certainly why you see companies trying to avoid hiring smokers. For those that show pictures of them smoking on Facebook or in other social media channels, this might be a risk (although I’m not sure if it’s legal to use that).
Live Longer By Being Optimistic!

While occasionally optimism can get you in trouble by being too trusting, I think it’s generally a better way to live. But, I still wonder why so many people can be overly optimistic about things like the lottery. Why do we all believe we can win when we’re more likely to get struck by lightning?
In healthcare, this means that we might overestimate our likelihood of getting better, not getting sick, or minimizing the risks of a surgery or medicine. “That will never happen to me.” According to an article about The Optimism Bias by Tali Sharot, people may get pessimistic about the broad economy but their private optimism stays very high.
For example, one study he mentions showed that cancer patients who were pessimistic were more likely to die within 8 months than optimistic patients. There was another article earlier this year about the impact of optimism on outcomes.
Another study talks about priming participants with key words such as smart and clever versus stupid and ignorant and comparing how they perform on a test. Guess what, the positive reinforcement led to better scores. (Why to pump your kids and co-workers up with positive self-esteem.) Perhaps, most importantly, the brains that expected to do poorly didn’t trigger responses to learn from their mistakes while the other participants did.
A few data points from the article:
- 10% of Americans expect to live to be 100…while only 0.02% do
- 0% of people getting married expect to divorce…but we know the numbers here
- 93% of people believed they were in the top 50th percentile for their driving ability
Barrett Toan To Speak At PBMI Spring Conference
Barrett Toan who was the motivating force behind building Express Scripts has been gone for since 2006 when he stepped down as Chairman of the board. He is now the chairman of Sigma Aldrich here in St. Louis and active in other pursuits. I was excited yesterday when I heard from Brenda Motheral, the Executive Director at PBMI, that Barrett had agreed to speak at their conference (register here).
While I never got to work with Barrett as closely as I would have liked to, I was on several projects with him. I was always amazed by both his passion for the industry and the patient along with his ability to move from both the macro-vision to digging down into the details. It should be fascinating to hear his view on where the industry is today and all the changes that have happened.
And, that should add to the agenda they already have which includes Gilbert Welch, the author of Overdiagnosed, Kjel Johnson from Magellan, Stacy Dow from Whirlpool, and Dr. Troy Brennan from CVS Caremark.
The focus of the agenda this year is on specialty which is obviously front and center for all of us. The one concern that I have had in the past was around attendee mix. It always seemed like the PBMs talking to each other, but Brenda told me that so far ~75% of the registrants are plan sponsors and that the actual number of plan sponsors registered already exceeds last year. This would be a big and very positive change.
Brenda also mentioned several other key topics – 340B, MTM, eRx, generics, consumerism, OTC, and Rx and Dx integration. Of course, I’m sure there will be discussion from their survey which I reviewed earlier, and they will be releasing their new specialty survey at the event. I’m planning to attend, and I hope to see you there.


February 18, 2012












