Large portions reduce liking

 

  • sensory specific satiety leads to reduced enjoyment of any food or beverage with each extra sip or bite
  • larger food portions lead to reduced enjoyment and less frequent consumption

http://www.foodnavigator-usa.com/R-D/Larger-portions-decrease-liking-of-food-study/

Larger portions decrease liking of food: study

Post a commentBy Maggie Hennessy , 04-Feb-2014

"Consumption of larger portions can ultimately decrease the frequency at which these foods are consumed,” said Carey Morewedge, study co-author. “This suggests people and companies may actually be better off with smaller portions. People will enjoy the food they eat more ... Companies will benefit from more frequent repeat purchases."

“Consumption of larger portions can ultimately decrease the frequency at which these foods are consumed,” said Carey Morewedge, study co-author. “This suggests people and companies may actually be better off with smaller portions. People will enjoy the food they eat more … Companies will benefit from more frequent repeat purchases.”

Not only do larger portions lead consumers to like the food they are eating less, they also reduce how often people consume those foods, according to the authors of a recent Carnegie Mellon University study.

“Although people often say they prefer larger portion sizes, especially for foods that they really like, our research indicates that consumption of larger portions can ultimately decrease the frequency at which these foods are consumed,” said Carey Morewedge, study co-author and associate professor of marketing at Carnegie Mellon’s Tepper School of Business. “This suggests people and companies may actually be better off with smaller portions. People will enjoy the food they eat more, and eat the foods they enjoy more often. Companies will benefit from more frequent repeat purchases.”

Large portions correlated to lower end liking levels

According to the “sensory-specific satiety” phenomenon, we enjoy each bite of a food or sip of a beverage less than the previous one. The more we eat or drink, the more satiety reduces how much we enjoy that food or beverage. Thus, consuming a larger portion means that we reduce our average enjoyment of the food or drink we consume.

For the study, published in a recent issue of Appetite, the researchers used two sets of experiments to determine the role of liking (emotional response to food) versus wanting (motivation or appetitive drive to eat) in the desired frequency of eating certain foods.

In Experiment 1, participants were given either a large or small portion of Lindor chocolate truffles. Those given the large portion condition reported significantly lower end liking than those with the small portion condition, and waited more days before repeating their consumption of chocolates.

Distraction can cloud the memory of enjoyment of food

In Experiment 2, in which some of the participants were asked to do arithmetic while eating crackers, those who were distracted while eating were not influenced as much by their enjoyment of the food to consume that food again as participants who were not distracted.

This suggests that distraction while eating (i.e., watching TV) can cloud the association that people develop when it comes to their enjoyment of food, which can alter their end-of-consumption liking for the food.

Moreover, like Experiment 1, participants in the second experiment who reported a lower end liking of crackers desired a longer delay in days before eating the crackers again.

“This research adds to the growing body of work on liking and wanting that shows that they are distinguishable constructs by showing that liking and wanting are not equally predictive of decisions regarding when to repeat consumption,” the authors wrote. “Specifically, we show that end liking, rather than end wanting, drives one’s decision of when to repeat a meal, demonstrating an additional means by which liking and wanting can be distinguished.”

Source: Appetite
http://dx.doi.org/10.1016/j.appet.2013.09.025 
“Does liking or wanting affect repeat consumption delay?”
Authors: Emily N. Garbinsky, Carey K. Morewedge and Baba Shiv

US pricing transparency initiatives…

It looks like they’re moving in the right direction in the US… 11 states have established pricing databases already, but I’d be surprised if they’d incorporated sophisticated visualisation/prediction tools like I+PLUS.

Washington State Officials Want To Lift Veil On Health Care Pricing

TOPICS: STATESHEALTH COSTS

By Lisa Stiffler, The Seattle Times

FEB 05, 2014

This story was produced in collaboration with 

What if you had a headache that wouldn’t go away? At the area’s top trauma center, a brain MRI will cost more than $4,600, while an imaging center on the Eastside will charge $900.

Need your tonsils out? A Kirkland nasal-and-sinus clinic will charge you $2,200, but the surgery will be nearly $7,000 at a Seattle hospital. Which would you choose?

A prime objective of the Affordable Care Act is to bring down America’s health-care costs, which are the highest per person in the world. But how can the U.S. shrink its medical bills if patients are almost always buying health care with no idea what it costs?

Washington has been able to do little to shed light on health-care costs, and the state last year earned an “F ” for its cost-transparency laws, according to groups promoting health-care reform.

That soon could change.

Gov. Jay Inslee and some state lawmakers are pushing for new rules that would create a database listing hundreds of medical procedures, what they will cost at clinics and hospitals statewide, and information about the quality of the medical providers.

“We made a decision with the Affordable Care Act to use competition to control costs,” said Bob Crittenden, Inslee’s senior health-policy adviser. “Competition requires a number of things. You need enough information to make decisions, and we don’t have that right now.”

The proposal has backing from many big players in medicine and business, but the support is not universal. The state’s largest insurance companies — Regence Blue Shield and Premera Blue Cross — oppose requirements to share the treatment prices they’ve privately negotiated with clinics and hospitals.

There’s also the challenge of pairing cost data with information about the quality of a doctor or hospital. After all, who wants the cheapest physician if he’s also the worst?

And there are questions whether transparency can drive down prices. Hospitals and clinics have been consolidating, creating fewer, bigger companies and less competition. Lifesaving drugs and treatments might be available from only one company or location, giving patients little choice.

The biggest question is whether patients will seek this information and use it to shop more wisely. Transparency supporters think the public is ready for them to pull back the curtain on cost and quality.

“More information will beget more curiosity,” said Mary McWilliams, executive director of the Washington Health Alliance, a nonprofit that has earned national kudos for tracking the quality of health-care delivery.

“I think people have assumed it’s all the same quality and all the same cost,” she said. “Getting them to recognize that it’s not all the same is the first threshold.”

“Huge price variation”

When Jeff Rice was dinged $200 for cholesterol blood work that should have cost $20, the Tennessee-based physician turned his frustration into a business opportunity.

In 2008, Rice launched Healthcare Bluebook, a company that collects data on what insurance companies pay for medical care, then calculates a “fair price” for procedures from allergy tests to heart surgery. Consumers can search for prices for free online and use the information as a benchmark to shop around.

“Many patients don’t know there is this huge price variation,” Rice said.

There are other transparency tools available, but all have their limitations. Many insurance companies have online cost-comparison tools for their customers. A recent search on the Aetna site found prices for roughly 30 common procedures, while Regence lists prices for 350 services.

On the quality side, the Washington Health Alliance publishes “Community Checkup Report,” which evaluates the quality of doctors, clinics and hospitals. The national Leapfrog Group scores hospitals.

In coming months, lawmakers in Olympia will consider various proposals to expand and greatly improve such transparency. One bill would require insurance companies to enhance their shopping tools to include price and quality information side-by-side.

Recent hearing

A more controversial proposal would create an “All-Payer Claims Database.” Hospitals and clinics have a “billed” rate for services, but insurance companies negotiate lower “allowed” rates, the amount they agree to actually pay for a procedure. The legislation would require payers — mostly insurance companies — to reveal what they are spending on services at different locations, so the data could be compiled into a database available to everyone.

At a recent hearing for the bill, representatives from the Washington State Hospital Association, Washington State Medical Association, Seattle Metropolitan Chamber of Commerce and the National Federation of Independent Business all testified in support of creating the database.

Only Regence and Premera officials spoke against it.

The insurance companies carefully guard the rates they negotiate. They consider it proprietary information they are not keen to share with competitors, health-care providers and others.

“We simply do not believe that [the All-Payer Claims Database] has any history of demonstrating any meaningful cost or quality improvement,” said Premera’s Len Sorrin, at the hearing.

The companies do, however, support cost tools for their own customers. A spokesman for Regence testified that searching for prices drives patients to lower-cost options.

Databases in 11 states

So far, at least 11 states have created these databases in various forms, and many more are interested. Most of the databases were built in 2008 or later, and there’s little information on their effects on costs or quality.

But the world of health insurance is changing. Deductibles — the amount a patient must pay before an insurance company starts covering medical bills — are going up. More than one-third of insured workers have deductibles of $1,000 or more, and many plans also have “coinsurance,” which sets a percentage of medical bills patients must pay even if they’ve reached their deductible cap.

Gone are the days of visiting the doctor and paying a $15 copay. Patients are more frequently footing the bill.

“When it’s your money, you ask a lot more questions about what things cost,” said Rice, the founder of Bluebook.

But shopping for health care can be more complicated than buying other essentials.

Transparency supporters like to illustrate the influence of price by comparing it with buying gasoline. Most drivers check the posted per-gallon price before filling up. If one station offered gas at $4 a gallon, they would drive past the pump offering it for $20 a gallon — a degree of price difference seen in some medical services.

But is that the right metaphor? What if you’re driving on fumes and there’s no other pump for miles around? When you’re a desperate shopper, chances are you’ll pony up if you can.

Challenges, limitations

Some argue that by publishing the cost information, the cheaper locations will raise their prices rather than the expensive sites dropping theirs. Douglas Conrad, a professor in the University of Washington’s School of Public Health, called that argument a red herring. Over time, he said, the prices come down, whether through market forces or action by antitrust authorities.

The relationships patients develop with their doctors pose potentially more difficult complications.

Conrad acknowledges the challenges and limitations to how much influence transparency can exert on the health-care system, but he thinks it can make a positive difference.

“If price and quality information get out there, and there is a push by the state to force transparency where it’s been difficult to get … that could change things,” Conrad said. “The promise is there.”

We want to hear from you: Contact Kaiser Health News

Prescribing the BlueStar diabetes app

  • analyzes logged blood glucose
  • offers advice based on trends
  • sends a report to clinicians
  • WellDoc are chasing the money with insurers
  • Endorsed by Dr Katz

If they want Dr uptake, they will need to be able to fund scaled change management programs just like the drug companies do

  • Will Docs Write Rx for Apps?

Published: Jan 16, 2014 | Updated: Jan 16, 2014

By Kristina Fiore, Staff Writer, MedPage Today

Doctors can now write scripts for the first prescription-only app — but the question remains whether they’ll pick up a prescription pad to write for mobile technology.

The app, BlueStar, is a tracker for patients with diabetes. It analyzes logged blood glucose data and offers advice based on trends it detects — such as telling patients to adjust their diets based on sugar levels after meals. Clinicians also receive a report on their patients’ progress.

Parent company WellDoc just won $20 million in venture financing for the app, and the company has a track record of success with online disease management tools and applications. WellDoc’s argument is that better blood sugar control will lead to better patients outcomes, and, thus, less spending on healthcare in the long run.

FDA approved the BlueStar app in 2010 as a device, but the company’s strategy has recently focused on insurance and reimbursement. In June, WellDoc announced that BlueStar would be reimbursed as a pharmacy benefit for employees of a handful of top companies, including Ford Motor Company, RiteAid, and DexCom.

Only a handful of apps has been approved since the FDA’s social media guidance was released in September, but experts suspect that more app companies may be moving in the direction of requiring prescriptions in order to monetize their efforts.

Patrick Brady, a spokesperson for WellDoc, told MedPage Today that the program is out in full force and doctors are currently writing prescriptions for BlueStar.

Patients whose health plans don’t cover BlueStar can get the app by working with a customer advocacy team at WellDoc, he added. The team coordinates directly with the patient’s physician to negotiate with insurers.

In a statement from when the BlueStar app was launched in June, Richard Bergenstal, MD, a past president of the American Diabetes Association, said that in the “era of healthcare reform, it’s important that payers recognize that patients must have access to proven, novel digital tools.”

Many other clinicians contacted by MedPage Today said they’d feel comfortable writing a prescription for an app.

“I have looked at some of the data supporting the role of technology like this in the management of diabetes, and I think it may be the [wave] of the future,” said Fernando Ovalle, MD, an endocrinologist at the University of Alabama at Birmingham.

David Katz, MD, of Yale’s Prevention Research Center, said he would feel comfortable writing the script provided patients were comfortable using it. “Overall, the literature suggests that extending our reach with technology that allows patient coaching to be continuous between office visits can be very effective,” Katz said.

Johnson Thomas, MD, an endocrinology fellow in New York City who developed anendocrinology reference app called Endo Tools, also said patient comfort would be a major factor, since “not all patients are tech-savvy.”

Still, he said if the app can deliver “timely, actionable advice” to patients in order to achieve better glucose control, it would be worth it.

Sue Kirkman, MD, of the University of North Carolina at Chapel Hill, said a prescription app could be helpful, but its usefulness may be limited in that the patients “who want the app and are willing to enter data and respond to prompts may already be the more proactive ones.”

Kirkman added that she hopes potential insurer reimbursement for apps opens the door wider to support of reimbursement for self-management tools such as contact with diabetes educators.

“Right now, pretty much only face-to-face visits are covered, not the ongoing contacts by phone, fax, email, etc., that are really needed to help someone sustain behavior changes and self-manage their diabetes optimally,” she said.

 

 

SMS supports diabetes self-care

  • Research into Auto SMS in chronic disease published in Health Affairs
  • HBA1C reduced
  • Costs of care reduced
  • Satisfaction with care increased
  • Content included reminders, questions and allowed for responses

Auto TXTing May Boost Diabetes Self-Care

Published: Feb 3, 2014

By David Pittman, Washington Correspondent, MedPage Today

Patients with diabetes who received a text message reminder about checking their blood sugar or refilling their medicines saw improvements in clinical outcomes and lower healthcare costs, researchers said.

The 74 patients enrolled in CareSmarts, a mobile phone-based program that provides automated self-management support, had HbA1c glucose levels that went from an average of 7.9% before the 6-month study period to an average of 7.2% afterward (P=0.01), reported Shantanu Nundy, MD, managing director at Evolent Health, in Arlington, Va., and colleagues in Health Affairs.

Costs also fell 8.8% in the intervention group, with a decline in the number and costs of outpatient visits, they added. No changes in clinical outcomes (P=0.08) or costs were seen in the 274 patients who were not enrolled in CareSmarts and made up the control group.

“Our study offers early evidence that [mobile health] can enable healthcare organizations to effectively support patients beyond the traditional healthcare setting and achieve the triple aim of better health, better healthcare, and lower costs,” they wrote.

Patients with type 1 or type 2 diabetes with access to a personal cell phone were recruited for the study at the University of Chicago. Participants were responsible for any text messaging costs charged by their phone carriers, but they were given a $25 cash incentive at the completion of the study.

The average age of the study-arm patients was 53 and nearly 70% were African American, with an average diabetes duration of 8 years. One-third of patients had well-controlled diabetes (HbA1c of 7% or less). Of the 74 patients, 67 completed the 6-month program.

The text messages included reminders (“Time to check your blood sugar”) and questions, such as “Do you need refills of any of your medications?” The patients responded by text, and healthcare providers followed up depending on the responses. The patients also received educational materials.

The intervention group saw improvements in glycemic control (P=0.01) and reported better satisfaction with overall care (P=0.04), according to the authors.

However, broader use of such text messaging tools will require federal guidance and regulations, they cautioned.

“Although we found a business case for the use of [mobile health], the diffusion and sustainability … depends on a supportive policy environment,” they wrote.

While the FDA recently said it wouldn’t regulate mobile apps that don’t interface with an FDA-regulated device, such as glucometers and blood pressure monitors, uncertainty remains about apps used as an accessory to a medical device or those that support medical decision-making.

“In addition, more work is needed to clarify the overlapping roles of the FDA, the Office of the National Coordinator for Health Information Technology, and the Federal Communications Commission,” the authors wrote.

Nundy and colleagues called for government-driven privacy guidelines around provider-to-patient communication through mobile apps, saying organizations are “less likely to develop innovative programs in this area.”

Diabetes care has been one field with a large number of mobile apps for clinicians and patients to better monitor and control the disease. Some applications require a provider’s prescription.

This research was partially funded by the Alliance to Reduce Disparities in Diabetes of the Merck Foundation and received support from the Chicago Center for Diabetes Translation Research.

Nundy co-founded mHealth Solutions, a mobile health software company that provided the software for this research, but reported that he no longer has a financial relationship with the company. He also reported a grant from Agency for Healthcare Research and Quality’s Health Services Research Training Program.

One co-author is co-founder and owner of mHealth Solutions.

Other co-authors reported support from National Institute of Diabetes and Digestive and Kidney Diseases and the Robert Wood Johnson Foundation.

 


Disinformation Visualization

Good, clean, wholesome analytics home truths…

Disinformation Visualization: How to lie with datavis

By Mushon Zer-Aviv, January 31, 2014

Seeing is believing.

When working with raw data we’re often encouraged to present it differently, to give it a form, to map it or visualize it. But all maps lie. In fact, maps have to lie, otherwise they wouldn’t be useful. Some are transparent and obvious lies, such as a tree icon on a map often represents more than one tree. Others are white lies – rounding numbers and prioritising details to create a more legible representation. And then there’s the third type of lie, those lies that convey a bias, be it deliberately or subconsciously. A bias that misrepresents the data and skews it towards a certain reading.

It all sounds very sinister, and indeed sometimes it is. It’s hard to see through a lie unless you stare it right in the face, and what better way to do that than to get our minds dirty and look at some examples of creative and mischievous visual manipulation.

Over the past year I’ve had a few opportunities to run Disinformation Visualization workshops, encouraging activists, designers, statisticians, analysts, researchers, technologists and artists to visualize lies. During these sessions I have used the DIKW pyramid (Data > Information > Knowledge > Wisdom), a framework for thinking about how data gains context and meaning and becomes information. This information needs to be consumed and understood to become knowledge. And finally when knowledge influences our insights and our decision making about the future it becomes wisdom. Data visualization is one of the ways to push data up the pyramid towards wisdom in order to affect our actions and decisions. It would be wise then to look at visualizations suspiciously.

Centuries before big data, computer graphics and social media collided and gave us the datavis explosion, visualization was mostly a scientific tool for inquiry and documentation. This history gave the artform its authority as an integral part of the scientific process. Being a product of human brains and hands, a certain degree of bias was always there, no matter how scientific the process was. The effect of these early off-white lies are still felt today, as even our most celebrated interactive maps still echo the biases of the Mercator map projection, grounding Europe and North America on the top of the world, over emphasizing their size and perceived importance over the Global South. Our contemporary practices of programmatically data driven visualization hide both the human brains and eyes that produce them behind data sets, algorithms and computer graphics, but the same biases are still there, only they’re  harder to decipher.

SMS data mining providing insights into personal crisis

 

Texting data to save lives

Texting data to save lives

FEBRUARY 6, 2014  |  DATA SOURCES

Remember that TED talk from a couple of years ago on texting patterns to a crisis hotline? The TED talker Nancy Lublin proposed the analysis of these text messages to potentially help the individuals texting. Her group, the Crisis Text Line, plans to release anonymized aggregates in the coming months.

Ms. Lublin said texts also provided real-time information that showed patterns for people in crisis.

Crisis Text Line’s data, she said, suggests that children with eating disorders seek help more often Sunday through Tuesday, that self-cutters do not wait until after school to hurt themselves, and that depression is reported three times as much in El Paso as in Chicago.

This spring, Crisis Text Line intends to make the aggregate data available to the public. “My dream,” Ms. Lublin said, “is that public health officials will use this data and tailor public policy solutions around it.”

Keeping an eye on this.

Weekly weight variability associated with weight maintenance or loss

This is the beginning of something, along the lines of Heart Math’s HR variability measure.

  • Weight stability is associated with weight gain – variability with weight loss.
  • Higher weight on Sunday and Monday
  • Weight loss occurred from Tuesday to the weekend

http://www.foodnavigator.com/Science-Nutrition/Weight-management-Long-term-habits-more-important-than-short-term-splurges/

Weight management: Long-term habits more important than short-term splurges

People who lose or maintain weight in the long term are more likely to see distinct weight fluctuations over the course of a week than those who gain weight in the long term, according to a Finnish study.

The study, published in Obesity Facts, examined the weight of 80 adults across a week and how it related to their overall pattern of weight gain, maintenance or loss.

The researchers, from the VTT Technical Research Centre of Finland, in collaboration with Cornell University and Tampere University of Technology, found that there was an overall pattern of higher weight on Sundays and Mondays. However, those who lost or maintained their weight tended to lose more weight from Tuesday until the weekend than those who gained weight.

“Weight gain following a weekend can be thought of as normal weight variation,” said VTT research scientist Anna-Leena Orsama. “Some indulging during weekends and gaining a bit of weight isn’t harmful from the weight management point of view as long as this is compensated by healthy food choices during the week. It is important to notice these rhythms and take steps to reverse the upward trend after the weekend.”

The minimum monitoring period for participants’ weight was 15 days and the maximum was 330 days. Groups maintaining or losing weight managed to compensate for slight weight gain at the weekend, with weight decreasing from Tuesday until Friday, and the lowest weight frequently measured on a Friday or Saturday. However, those who gained weight overall had a less linear pattern, with minimum weight measured on all days of the week.

“It appears that long-term habits make more of a difference than short-term splurges,” the researchers wrote.

“Based on the findings of this study, we can expect weight to rise during weekends and treat it as a normal variation. Our results provide scientific support to the tenet that in weight management, allowing more flexibility during weekends and holidays might be more realistic and successful in the long term than a strict regimen.”

Source: Obesity Facts

Weight rhythms: Weight increases during weekends and decreases during weekdays

Authors: Orsama, A., Mattila, E., Ermes, M., van Gils, M., Wansink, B., & Korhonen, I., (2013).

Poor teen breakfast habits linked to adult metabolic syndrome

Seems like an entirely legitimate study, but could poor teen breakfast habits actually be a surrogate indicator of other,  more powerful social determinants not directly related to “eating breakfast” per se.

http://www.foodnavigator.com/Science-Nutrition/Most-important-meal-of-the-day-Bad-breakfast-in-youth-linked-to-metabolic-syndrome-in-adulthood/

Most important meal of the day? Bad breakfast in youth linked to metabolic syndrome in adulthood

Post a commentBy Nathan GRAY , 31-Jan-2014

"Poor breakfast habits at age 16 years predicted the metabolic syndrome at age 43 years," says research.

“Poor breakfast habits at age 16 years predicted the metabolic syndrome at age 43 years,” says research.

Consumption of a poor breakfast during youth and development may programme an adult life of increased risks of metabolic syndrome, according to new research.

It is often said that breakfast is the most important meal of the day, and previous studies have suggested that regular breakfast consumption may improve metabolic parameters.

Researchers from Sweden have released data from a 27-year follow up study investigating whether poor breakfast habits in adolescence can be predictive of metabolic syndrome and its components in later adulthood.

Writing in Public Health Nutrition the Swedish scientists revealed that adolescents who ate poor breakfasts were associated with a higher risk of metabolic syndrome later in life when compared with those who ate a more substantial breakfast.

“Poor breakfast habits at age 16 years predicted the metabolic syndrome at age 43 years, independently of early confounders (lifestyle, BMI and SES),” wrote the research team – led by Maria Wennberg from Umeå University in Sweden. “Of the metabolic syndrome components, poor breakfast habits at age 16 years predicted central obesity and high fasting glucose at age 43 years.”

Based on their findings the team suggested that schools and other breakfast programmes should be re-evaluated with close attention paid to potential metabolic health consequences.

“Further studies are required for us to be able to understand the mechanisms involved in the connection between poor breakfast and metabolic syndrome, but our results and those of several previous studies suggest that a poor breakfast can have a negative effect on blood sugar regulation,” added Wennberg.

Study details

The team initially recruited 1083 male and female teenagers, as part of the Northern Swedish Cohort.

The study asked all students completing year 9 of their schooling in Luleå in 1981 (Northern Swedish Cohort) to answer questions about what they ate for breakfast. 27 years later, the respondents underwent a health check where the presence of metabolic syndrome and its various subcomponents was investigated.

Results from their investigation revealed that the young people who neglected to eat breakfast or ate a poor breakfast had a 68% higher incidence of metabolic syndrome as adults when compared with those who had eaten more substantial breakfasts in their youth.

This conclusion remained after taking into account socioeconomic factors and other lifestyle habits of the adolescents in question, said the team – who noted that abdominal obesity and high levels of fasting blood glucose levels were the subcomponents which, at adult age, could be most clearly linked with poor breakfast in youth.

Source: Public Health Nutrition
Published online ahead of print, doi: 10.1017/S1368980013003509  
“Poor breakfast habits in adolescence predict the metabolic syndrome in adulthood”
Authors: Maria Wennberg, Per E Gustafsson, et al

Providers scared of integrating technology into their workflow (because they don’t get paid to)

Great CIO quote about providers:

“No longer do people want to use technology as a synonym for a fax,” Bosch said. “But healthcare is very scared; we’re scared to develop on our own. If you look at any other industry, they have a huge research and development technology arm. Healthcare wants to manage technology like you’d manage a couple of horses in the stable. We’ll care for them and feed them, but we wouldn’t’ dare do anything else on our own. We’ve got to change our mindset.”

http://www.fiercehealthit.com/story/hospital-cmio-providers-are-scared-innovation/2014-01-27

Hospital CMIO: Providers are ‘scared’ of innovation

January 27, 2014 | By 
With patient engagement tools like Fitbit and personal health records growing more and more abundant, a primary goal of providers in today’s society must be to avoid obstructing the flow of information from patients and their tools to medical professionals, according to Ryan Bosch, chief medical information officer at Falls Church, Va.-based Inova Health System.

Bosch, speaking on a patient engagement panel at the Office of the National Coordinator for Health IT’s annual meeting in Washington, D.C., last week, called interoperability paramount to those efforts, but also called the health industry, as a whole, scared to innovate.

“No longer do people want to use technology as a synonym for a fax,” Bosch said. “But healthcare is very scared; we’re scared to develop on our own. If you look at any other industry, they have a huge research and development technology arm. Healthcare wants to manage technology like you’d manage a couple of horses in the stable. We’ll care for them and feed them, but we wouldn’t’ dare do anything else on our own. We’ve got to change our mindset.”

Part of changing that mindset, according to Donna Cryer–a D.C.-based patient advocate who suffers from autoimmune conditions–is thinking of patient care as more of a partnership. While Cryer said that she thinks of herself as both an engaged and an activated patient, she stressed that not all patients are willing or ready to take that same kind of initiative.

“A consumer might be someone who doesn’t have very frequent interactions with the healthcare system,” Cryer said. “I think it’s important to design education and engagement strategies and expectations for patients trying prevent hospital visits,” in addition to patients like herself who need constant treatment.

“Patient engagement takes at least two parties, and unless there’s that partnership, there really won’t be any engagement.”

Lygeia Ricciardi, director of the office of consumer eHealth at ONC, agreed, saying that patients need to feel comfortable asking questions and sometimes disagreeing with their providers. Technology, she added, helps to bridge a gap.

“If we can get information flowing to people, we want them to have a variety of tools and apps to work with,” Ricciardi said. “Trust is the bedrock of the patient-provider relationship. Patients must feel comfortable that their information is where it should be.”

study recently published in the Journal of Participatory Medicine outlined several tips for physicians to engage patients through the use of digital technology, including:

  • Working with patients to achieve a common understanding of the types of information patients would be sharing, how the sharing would take place and which members of the clinical team would be reviewing the information and how often
  • Designating and training a member of the clinical care team to monitor incoming data and triage as necessary
  • Putting a medical emergency protocol in place
  • Using appropriate judgment in deciding when patient-generated electronic health information would be included in the physician’s legal medical record

The study focused on efforts within Project HealthDesign, a research program funded by Robert Wood Johnson Foundation.