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January 27, 2016 0

By Linda DiPersio, MSM, MSHC

DiPersio-Jan2016artwork1In the book “The Innovator’s Prescription: A Disruptive Solution for Health Care,” Clay Christensen, who developed the theory of disruptive innovation, stated, “There are more than 9,000 billing codes for individual procedures and units of care. But there is not a single billing code… for helping patients stay well.” In the pharmaceutical industry, disruptive innovation improves health by generating ideas that create new drugs at the expense of existing ones. It is an alliance between technological advances and new business models that dramatically changes the performance of the industry. The progressive spectrum of disruptive innovation challenges include lessons from the past showing resistance to change, implications surfacing in the present which emerge from cautious analytics and trailblazing dynamics in the future aligned with patient centricity.

Past: Resistance to Change

Despite the remarkably positive success of antiseptic surgery with carbolic acid saving many lives during active combat in late 19th century Europe, Surgeon Dr. Samuel Gross from the United States said, “Little, if any faith, is placed by any enlightened or experienced surgeon on this side of the Atlantic in the so-called carbolic acid treatment of Professor Lister.” The medical community in the United States not only disapproved of the concept of germ theory that promoted the protection of patients against airborne microbes, and any drug associated with it, but also they fully rejected it – instead believing that miasma or bad air caused infection. After 30 years of successful usage in Europe, the jolting factor of antiseptic surgery acceptance in the United States is attributed to the almost assuredly avoidable death of President James Garfield. His non-life threatening gunshot wound from an assassination attempt was cared for by a team of doctors with germ-laden contact, including non-sterilized instruments, which lead to a major infection most likely being the cause of death.

DiPersio-Jan2016artwork2As the above example shows, the advancement of pharmaceutical innovation efforts are most often prevented by established world views, opinions, customs, attitudes, societal values and complex psychological and emotional issues ingrained in the network of relationships that define individuals singly or collectively. In certain situations, innovation challenges are rejected directly because they are seen as threats to the means of support and character of many stakeholders, such as pharmaceutical companies, Federal regulatory institutions and the American Medical Association, that deploy an intangible but forceful influence on decision-making. Resistance to change in pharma emanates from industry incumbents whose jobs rely on sustaining the existing business model and political power. As Upton Sinclair said, “Never expect someone to understand change when their livelihood depends on not understanding it.”

Present: Cautious Analytics

Currently, pharma believes that marginal innovation is actually “safe” disruptive innovation because it is supported by confirmed targets, proven forms of action and/or established drug classes. In reality, it is extremely risky. Marginal pharmaceutical compounds have a high risk of not achieving end results, not being accepted by regulators and/or not performing up to the standards of existing less costly therapeutics and fail commercially. Recent studies with marginal drugs show a 50% failure rate due to a lack of efficacy or safety.

Safer trials, which are designed to add evidence-based support of the versatility of top drugs, take away the amount of funds from innovations and discovering new cures. There are no pre-competitive consortiums to divide the challenges and costs of developing new knowledge about disease causation. Today, innovation is distributed over a group of partners with universities conducting the riskier early translational research and pharma investing in late development with perceived low risk. Beginning as low risk, low returns and low R&D, cautious analytics eventually equate to bad risk with ill-fated consequences.

Future: Multi-Dimensional Patient Centricity

DiPersio-Jan2016artwork3In the future, the drug lifecycle needs to incorporate many facets of patient centricity, including the use of new technologies such as gene- and proteomics, gene therapy, nanotechnology, and Big Data driven predictive analytics. Precision medicine will identify exact patient needs and tailor molecular profiles to create the most beneficial treatment plans for patients on an individual level. New social media tools will allow patients to share information and participate in collaborative discussions with regulators and pharma.

If pharma practices the five skills of questioning, observing, networking, experimenting, and associating that are outlined in the book “The Innovator’s DNA” authored by Gregersen, Dyer, and Christensen, disruptive innovation will be constructively delivered, empowering patients, and effecting positive change through physicians who will proactively treat and potentially prevent illnesses before they become a major source of concern. Creativity that changes behavior will be framed by:

  • Asking controversial questions that confront existing knowledge of the industry;
  • Thoroughly examining behaviors to identify new ways of doing things;
  • Encountering people with fundamentally dissimilar ideas and perspectives;
  • Building interactive experiences that trigger non-traditional responses to discover what insights emerge; and
  • Connecting the dots with questions, issues or ideas from unrelated fields.

In summary, the past and present challenges mapped out on the spectrum provide valuable information that will shape future disruptive innovation in a beneficial way. Lessons learned from the past indicate that attitudes impacted the resistance to effective existing pharmaceuticals. Presently, with pharma’s perception of “safe risks,” engaging in cautious analytics eventually results in bad risks. In the future, leading the way with a multi-dimensional, patient-centric approach to the drug pipeline will allow for increased profits and improved health outcomes. As Clayton Christensen said, “Disruptive innovation is a positive force.”

Sources:

Christensen, C., Hatkoff, C. and Kula, I. “Disruptive Innovation Theory Revisited.” Innovation Excellence. (2013)

Coleman, D. “The DNA of Disruptive Innovators: Will Pharma be Disruptors or Disrupted?” Eye for Pharma. (2014)

“Disruptive Innovation and the Future of the Drug Lifecycle.” PhRMA. (2013)

“Growing the Pipeline, Growing the Bottom Line: Shifts in Pharmaceutical R&D Innovation.” KPMG Pharmaceutical R&D Innovation. (2014)

Munos, B. and Chin, W. “How to Revive Breakthrough Innovation in the Pharmaceutical Industry.” Science Translational Medicine. (2011)

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October 28, 2015 1

“Creativity is thinking up new things. Innovation is doing new things.” – Theodore Levitt, author of Innovation in Marketing

Creative assessment in pharma is the ability to generate and evaluate new, varied, and unique ideas to achieve innovative approaches. Flexibility, originality, fluency, elaboration, and brainstorming are only a few of the factors connected to this tool. It involves finding new ways, making unusual associations, and seeing unexpected solutions. This technique uncovers difficulties, issues, gaps in information, and missing elements followed by formulating hypotheses about characteristics, evaluating, and testing guesses, and then, finally, communicating results. By applying the Innovation Styles Model to pharma, novel methods stimulate curiosity and promote divergences that bring about successful outcomes.

Innovation Styles Model

Visioning, Modifying, Exploring and Experimenting are four distinctive strategies included in the Innovation Styles Model that reveal how to approach new methods, ideas or products in pharma.

  1. DiPersio-Oct2015-Artwork1Visioning forms a mental image of the ideal future. Specifically, original ideas about the future are developed through intuition trailed by facts that are gathered to support those concepts. The long-term outcome is a clear future impression. Visioning endorses innovation by crafting the big picture and presenting certain direction over a length of time. This strategy encourages commitment and provides an impetus for an expansive vision.
  1. Modifying refines and optimizes what occurred previously. Priorities for improvement are established through facts and then intuition allows the entire picture to surface. A specific short-term goal is optimized and achieved. Modifying upholds innovation by adding to what predecessors have accomplished without developing anything new. This strategy also motivates a group to concentrate on realistic, short-term success.
  1. Exploring discovers new and interesting possibilities. Assumptions are questioned with intuition and new options are discovered. Hypotheses and insights are supported by ascertained facts. Exploring searches for unusual breakthroughs and challenges to uncover sole perspectives. This strategy is enthusiastic and hopeful under vague conditions.
  1. Experimenting combines and tests many exclusive groupings. Leverage points are identified with facts and then meaning is realized using intuition. New combinations expose strengths and weaknesses. Experimenting detects ways to overcome barriers, assimilates the ideas of many people, and generates new notions to makes decisions. This strategy tests and formulates new concepts in a detailed manner and provides organized methods to take risks in increments.

Practical Applications of Creative Assessment in Pharma

DiPersio-Oct2015-Artwork2

Strategic Planning

IDiPersio-Oct2015-Artwork3mproving core competencies, emphasizing cost control, focusing on comparative effectiveness, and elevating market access are part of a new strategic planning process. Payers, such as private insurance plans, pharmacy benefits managers, governments, and employers, have moved to the forefront of the pharma industry. They now strongly desire information about drug safety and efficacy to compare drug cost effectiveness to alternative treatments. In the past, determining how much payers would pay for drugs was a major challenge for marketers. However, most recently economically justifying and identifying the intrinsic value of a certain drug is a more important challenge.

R&D and New Products

DiPersio-Oct2015-Artwork4Creative ways are now engaged to capture treatment benefit through subjective research. These practices demonstrate full product value to patients, regulators, and payers. Patients visually express disease experience with mood boards using a collage of images and/or text that represents their emotions and thoughts with drawings or online platforms such as Pinterest. People receiving medical care also utilize body mapping to indicate the location on their body where they experience signs of disease and pain. Patients tell their story in video diaries, often times using smart phones to point out their disease experience in real time. In prior years, face-to-face interviews and focus groups were sufficient, and drug developers relied on merely clinical outcomes. Nevertheless, currently patients recognize the significance of comprehending and collecting subjective research about patient attitudes, preferences, and experiences.

Work Process Improvement

DiPersio-Oct2015-Artwork5Six Sigma and Lean Manufacturing allow pharma to predict and eradicate errors which boost operational efficiency and increase the chance of quality products and compliance, as opposed to relying on end-process testing. These techniques also optimize resources, control inventory, reduce waste and errors, improve customer service and change the market entirely. They identify and remove the causes of defects while minimizing variability in manufacturing and business methods. These tools employ empirical, statistical methods so that a certain group of people materialize as experts in these methods and become an integral part of the infrastructure of the organization. Presently, profits are declining due to greater competition emanating from generic brands and an increase in errors within the manufacturing process. On the other hand, Six Sigma and Lean Manufacturing offer the possibility of saving pharma an estimated $90 billion dollars internationally.

In conclusion, creativity develops fresh ideas, methods or products while innovation puts them into action. Combining creativity and innovation builds an assessment technique that effects positive and profitable change when the Innovation Styles Model is applied to the pharma industry. The practical application of the four unique strategies of the model (Visioning, Modifying, Exploring, and Experimenting) to the strategic planning process, R&D and new products, and work process improvement creates a departure that broadens the reach of pharma and acts as a trajectory to advance the industry worldwide.

 

References:

  • “How Does Creative Thought Differ from Critical Thought? Macquarie University. (2008)
  • McClearn, C. and Croisier, T. “Big Pharma’s Market Access Mission.” Deloitte University Press. (2013)
  • Meysner, S., Kitchen, H. and Humphrey, L. “Why Creative Research Methods are Essential in Pharmaceutical Outcomes Research.” Abacus International. Decision Resource Group. (2013)
  • “Six Sigma and Its Use in Pharmaceuticals.” Six Sigma Online. Aveta Business Institute. (2014)
  • “Understanding and Applying Innovation Styles(R) for Insight, Versatility and Impact.” Global Creativity Corp. (2007)

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September 24, 2015 0

During his January 2015 State of the Union Address, President Barack Obama introduced the Precision Medicine Initiative as an effort that “will bring us closer to curing diseases like cancer and diabetes – and give all of us access to the personalized information we need to keep ourselves and our families healthier.” The question is how we will achieve this goal. The answer is through Point of Care (POC) ranging from POC testing to POC prescribing. Relying on prompt diffusion of innovation with this initiative will create maximum results and minimum waste in practicing health care.

Precision Medicine

DiPersio-Sept2015artwork1The National Research Council describes Precision Medicine (PM) as adapting medical treatment to the specific characteristics of each patient. It arranges individuals into subpopulations that differ in their likelihood to contract any particular disease. PM is the advanced and detailed understanding of the root causes of a disease and how best to respond with proper treatment taking into consideration genetic changes and ultimate cures.

POC Testing

The innovation of portable diagnostic and monitoring devices for POC testing depends on moving towards predictive, personalized, and preventive medicine while simultaneously moving forward with remedy medicine for existing diseases. POC testing allows pharmaceutical companies to develop more effective drugs geared to personalized needs. This synergy is influenced by the following factors:

  • Speed. Not only does testing produce instantaneous results, it also eliminates the need for laboratory bound samples requiring a wait time.
  • Portability. The size, portability, and battery power of POC testing devices allows them to be used in different environments including within the community or in a large hospital.
  • Convenience. Clinicians spend less time preparing paperwork for laboratory testing.
  • Reduced workload. Non-laboratory staff conducts testing instead of overworked trained clinicians whose time can be leveraged to achieve more medical advancements.
  • Connectivity. Errors are reduced by using USB and wireless connections not mandating manual transcription while central database input allows for data mining and research.
  • Sample quality. Time does not interfere with quality due to the lack of transport to the central laboratory.
  • Analytic viability. Integrity is maintained with analysis performed within a short time of sample being withdrawn.

POC Prescribing

DiPersio-Sept2015artwork2Preventive and therapeutic interventions, such as physicians dispensing prescription medications during medical visits, benefit patients without high cost or side effects. Health care professionals have the ability to prescribe the right drug for the right patient at the right time at the right place. Patient savings are realized in terms of time, energy, convenience, and money. Also, better health outcomes are achieved with patient adherence because the early stage obstacle of compliance is removed – the patient taking the time to process the prescription through mail order or at a pharmacy. Furthermore, assigning clinicians the power of POC prescribing confronts the dilemma of health disparities.

Diffusion of Innovation: Dynamics and Strategies for Success

Comprehending how to improve the pace of disseminating the concepts of this new Precision Medicine Initiative is of paramount importance to its success. Rapid diffusion of innovation is accomplished through the following guidelines and action plans.

  1. DiPersio-Sept2015artwork3Relative advantage. Gather an understanding of the ROI and cost mindset of the patient, medical staff, and decision makers.
  2. Trial ability. Engage ways to divide the process for tangible benefits.
  3. Observability. Choose viral marketing to uncover the invisible.
  4. Communication channels. Select mass media to inform and interpersonal methods to persuade while identifying the connectors and the correct target audience.
  5. Homophilous groups. Look for other homophilous groups outside of physicians, nurses, health strategic planners, and patient advocacy groups.
  6. Pace of innovation/reinvention. Situate listening standards for early warning about issues and monitor practices for potentially dangerous mishaps.
  7. Norms, roles, and social networks. Concentrate on target groups and expose chances to leverage existing social networks or create new ones.
  8. Opinion leaders. Identify opinion leaders and look for principals who have a broad range of information and a reputation for being most knowledgeable and respected.
  9. Compatibility. Become aligned with current behavior and values and mimic everyday universal functions.
  10. Infrastructure. Grasp current and future regulatory constraints.

In conclusion, the way to achieve the goal of the Precision Medicine Initiative recently launched by President Obama is utilizing two Point of Care methods which change the way medicine is practiced and health care is delivered. POC testing and POC prescribing promotes the health care climate shift toward prevention, early diagnosis, management of multiple chronic conditions, and eventual cure of existing diseases while increasing patient health engagement by encouraging patients to take a more active role in their health. Health care is more personalized through customization of interventions to individual patients based on the way information is processed. Specific transmittal dynamics accomplish the diffusion of innovation without delay and catapult the overall efficiency of medical practice.

 

References:

Berry, P. “Drug Dispensing at the Point of Care Benefits Patients.” Northwind Pharmaceuticals. (2015)
Cain, M. and Mittman, R. “Diffusion of Innovation in Health Care.” Institute for the Future and California HealthCare Foundation. (2002)
Moreno, C. “What Precision Medicine Is and How It Might Save Your Life Someday.” Reuters. (2015)
“Point of Care Diagnostic Testing.” National Institutes of Health. (2013)
Wickham, M., McComas, D. and Wickham, C. “Point of Care in Clinical Trials.” PharmaPhorum. (2010)

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September 22, 2015 0

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August 15, 2015 0

By 2050, the United States population will include almost 30% Hispanics/Latin-Americans, 13% African-Americans, and 9% Asian-Americans, with less than half of the population being Caucasian. Multicultural marketing is described as targeting and communicating to ethnic segments on their diverse cultural framework. Pain management is a universal dynamic among all cultures. The pharma marketing of pain medication to a culturally varied audience will be successful by understanding the Anderson Conceptual Framework and developing specific targeted strategies.

Anderson Conceptual Framework  

Predisposing Factors

DiPersio-Aug15Artwork2Health beliefs are predisposing characteristics that are not easily changed.

  • In the African-American culture, pain medications may be passed over due to the fear of addiction. Patient education should be incorporated into a strategy which not only teaches the facts about addiction but also allows individuals to accept medication while foregoing the use of folk healers, prayers, laying of hands and speaking in tongues.
  • In the Japanese-American culture, patients may believe that it is honorable to suffer silently through pain. A successful marketing strategy for this particular culture should include a clinical environment where the patient is comfortable expressing his feelings about drug acceptance while incorporating acupuncture, herbs and other natural remedies which are aligned with their culture.
  • In the Mexican-American culture, pain may be viewed as penance for sinful behavior or a poor life style while the machismo(a) attitude acknowledges they are courageous without medication. Once again, patient education should be part of the strategy to explain pain can be controlled with medication and also the negative impact when pain remains uncontrolled.

Enabling or Impeding Factors

Family support, access to medicine, and individual community are the enabling or impeding factors with pain medication supported by high, medium, and low degrees of ethnicity.

  • A high degree of ethnicity is found in patients who are first generation immigrants strongly affiliated with their culture, raised outside of the United States but now live in areas with a high ethnic concentration, not fluent in English and speak mostly their ethnic language in heavy accents.
  • A medium degree of ethnicity is found in patients who are second generation or acculturated first generation belonging to both worlds, have spent up to half of their lives in the United States but now live in areas with moderate ethnic concentration and are proficient in both their native language and English while speaking in light accents.
  • A low degree of ethnicity is found in patients who are second generation and onwards, less affiliated with their original culture, born and raised in the United States but now live in areas with low ethic concentration and bilingual but prefer speaking English in a neutral accent.

Perceived and Actual Need Factors

Pain medication is based on the perceived and actual necessity of drugs. Some cultures show a “nocebo” effect where individuals who do not believe in medication experience deteriorating symptoms due to pessimism about becoming healed. The opposite end of the spectrum is a placebo effect where medication is more beneficial if it is more intrusive. The Asian-American culture may view pain as a sign of weakness, believe that medication is inadequate without an injection and prefer an intravenous medication rather than highly effective analgesic tablets. The Mexican-American culture may view medication as unnecessary since they believe they are strong enough to endure the suffering naturally, and believe that a larger pill or bitter medicine are more effective than a smaller pill or medicine that has a pleasant taste. The African-American culture may perceive pain toleration without medication as heroic with past generations in slavery and reject medication entirely out of fear of a detrimental impact.

DiPersio-Aug15Artwork1Developing Specific Targeted Strategies

In a study conducted by Experian Simmons, almost 10 million Hispanics between the ages of 35 and 64 did not use a prescription drug during the past year with 61% spending up to 40 hours of their time each week watching Spanish language television, surfing the web, and visiting social media sites. In terms of context, behavior, and demographics, specific targeted digital and media marketing strategies will increase pharma revenue in pain medication by 50%. Also, strong brand affinity by a culturally diverse population encourages pharma to create direct relationships with target markets that are growing exponentially.

In conclusion, under the medical ethics tenet of beneficence, it is the duty of the physician to intervene with pain medication for the comfort and well-being of the patient with the goal of alleviating distress. Pain is applicable to all cultures. Different cultures create the formation of certain values and then these particular values create perceptions that motivate behaviors. Understanding the Anderson Conceptual Framework with unique cultural insights allows pharma to formulate successful specific targeted multicultural marketing strategies for pain medication.

References:

Alvarado, Anthony J. “Cultural Diversity: Pain Beliefs and Treatment among Mexican-Americans, African-Americans, Chinese-Americans and Japanese-Americans.” (2008). Senior Honors Theses. Paper 127.

McDonald. K.M., Sundaram, B., et al. “Closing the Quality Gap: A Critical Analysis of Quality Improvement Strategies.” Agency for Healthcare Research and Quality. (2007)

Guion, Lisa A. and  Kent, Heather. “Ethnic Marketing:  A Strategy for Marketing Programs to Diverse Audience.”  Allied Media Corp. Multicultural Communication. (2014)

Young Entrepreneur Council. “5 Tips to Refresh Your Multicultural Marketing Strategy.” Forbes. (2013)

Millerman, Steve. “Multiethnic Marketing:  The Billion Dollar Upside.”  PharmaExec. (2015)

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July 15, 2015 0

Health care coverage was expanded automatically to 32 million Americans in March 2010 when President Barack Obama signed into law the Patient Portability and Affordable Care Act (ACA). President Obama stated, “My job is to set forward a vision – point people in the right direction.” Since the ACA eliminated pre-existing conditions, developmentally, intellectually and physically disabled patients become a separate target audience for pharmaceutical marketers currently faced with a new direction. The ACA impacts prescription marketing for the disabled both narrowly and broadly through fee-for-value and patient lifestyle autonomy, respectively, setting forth opportunities for pharmaceutical marketers to grow innovative business.

DiPersio-Julyartwork1Narrow Impact: Fee-for-Value
Overall value moves to the forefront of ACA’s goal to deliver more effective care at a lower cost to the disabled population while the platform of efficacy and safety shifts to the background. Pharmaceutical marketers engage in positioning and messaging to the influencers and stakeholders of the disabled, including family, friends, physicians, others who have disabilities and community groups. They market their products based on both clinical and economic outcomes. Expressing outcomes through emotional drivers, such as quality of life, evokes a deeper feeling among medical staff and patients. At the Mayo Clinic and Dartmouth Hitchcock Medical Center, shared decision making centers attract doctors and health coaches to assist the disabled in weighing options and making informed decisions about elective procedures. Due to some disabled patient mobility issues, marketing teams are gravitating toward business-to-business strategies instead of relying on frequent visits. Similarly, marketing channels include an integrated approach that reaches more remote locations of the target audience.

DiPersio-Julyartwork2Broad Impact: Patient & Lifestyle Autonomy
Many disabled have numerous, multi-faceted health problems and require more and different types of prescriptions with pharmaceutical marketers focusing on the promotion of patient and lifestyle autonomy. The statistics are overwhelming. On average, the disabled need 40% more prescriptions. They spend 50% more money on prescriptions drugs. Also, they are three times more likely to have high total drug spending. The ACA extends certain prescription drug coverage for Medicaid recipients. Coverage of anti-seizure and anti-spasm medications is also mandated under the health reform law. Thirty percent of disabled Americans confront challenges in travelling to pharmacies because they either live in rural areas or have disabilities which hinder their mobility. Under ACA, physicians can prescribe a variety of medically beneficial drugs without restrictions on how these medications are delivered to patients in a timely manner and without any major inconvenience to the disabled or their caregivers.

ACA is changing the lifestyle of disabled Americans and prescription marketing is geared toward their new living standards. Our country now has an educational system which is much more centered on preparing all students, regardless of any type of disability, for a university degree and/or a career. Under ACA, federal contractors must meet a quota for employing the disabled which creates jobs for this target audience. Opportunity Works provides community and center-based employment services and support to individuals allowing for more independent lifestyles including salaries. This agency allows for vocational assessment, career exploration, on-the-job training, placement, and supervision while teaching a variety of skills.

With steady employment, disabled Americans are afforded the opportunity to earn money to pay for their prescription benefits with private health carriers. They have a choice of carrying public or private coverage. Many special needs attorneys believe that the vast majority of Special Needs Trusts (SNT) patients will select private health insurance over Medicaid. The families of the disabled who are covered under the SNT are required to repay their benefits upon death which produces an excessive financial burden. Pharmaceutical marketers develop strategies now that aim its attention at a gainfully employed disabled population being assimilated into the general public as equal citizens living with dignity and garnering respect.

In summary, Harvard Professor Philip Kotler, author of the classic 1967 textbook “Marketing Management” developed the concept that marketing is the exchange of value between two parties. He maintains that marketing is the art of creating genuine customer value and helping customers become better off. Without a doubt, the ACA provides unparalleled opportunities for pharmaceutical manufacturers to market prescriptions to a large disabled population with narrow and broad ACA impacts of fee-for-service and patient lifestyle autonomy. Pharmaceutical companies change their thinking about beliefs and basic assumptions, beginning with identifying the disabled as a new target audience and understanding their needs, with the desire to increase business.

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June 25, 2015

Senator Edward M. Kennedy’s landmark speech at the 1978 Democratic National Convention in Memphis, Tennessee emphatically brought attention to our nation’s health care dilemma, establishing his stance on health care as a matter of right and not of privilege. The human right to health care means that “services must be accessible, available, acceptable, and of good quality for everyone, on an equitable basis, where and when needed.” Supported by approaches and behavioral science theories, including the Health Belief Model and the Theory of Planned Behavior, mHealth and telemedicine embody the ideals of the right to appropriate care at a suitable time in the correct place.

Decreased Time and Cost of Health Care +
Increased Health of Population and Quality of Care =
High Return on Investments in mHealth and Telemedicine

By incorporating the following five approaches of mHealth and telemedicine into our health care system, lower cost and higher quality care for all becomes a clear reality.

  1. Remote analysis services. Highly trained professionals work as a pooled resource with fractional employment providing 24/7 coverage with services such as telepathology and teleradiology.
  2. Remote monitoring technologies. Patients switch from serviced on an inpatient basis to monitored on an ambulatory system.
  3. mHealth monitoring technologies. Disease managers prevent hospitalization for conditions such as heart failure by accessing daily weight information and proactively assisting patients with fluid retention before a crisis occurs.
  4. At-home triage services. Televisits from nurses and PCPs decrease emergency room visits.
  5. Telemedicine appointments. Providers accept patients upon their current availability and
    reduce the amount of wasted underutilization.

Applying the Health Belief Model to mHealth

Benefits
In a study comparing traditional to mobile app self-monitoring of physical activity (PA), the Health Belief Model (HBM) concept of perceived benefit showed that app users self-monitored exercise more often than non-app users (2.5 days vs 1.25 days per week) and reported greater intentional PA than non app users (150 kcal vs 50 kcal per day).

Barriers
The concept of perceived barrier to wearables involves difficulty with location tracking using Bluetooth (narrowband) and measurable issues in accuracy, time latency, and consistency. Signal strength is an unreliable indicator of distance considering wireless network effects such as obstructions, reflections, refractions, multipath and reception. One innovative solution is ultra wideband (UWB) radio which enables resilient location and distance measurements.

Efficiency of Narrowband vs Ultra Wideband
with Time Latency and Visual Effects

Cues to Action
The concept of cues to action comes to the forefront through instant feedback from such wearables as pedometers or activity monitors. The data acts as a reward when results are high and as a challenging motivator when results are low. Forty percent of trackers indicate that feedback prompts them to ask a doctor new questions or seek a second opinion. Trackers share their results with others in common language in online support groups either to receive and give encouragement or take part in competitions.

Applying the Theory of Planned Behavior (TPB) to Telemedicine

Subjective Norm
In a study to determine patient use of walk-in clinic telemedicine services for minor ailments compared to emergency room visits, 73% of respondents mentioned that the opinions of their family members would be important considerations. Normative interpersonal channels more strongly influence their decision making than mass media channels which solely gather information.

Perceived Behavioral Control
Perceived e-consultation diagnosticity occurs when the patient believes that images and sounds transmitted through technology are under their control. As remote patients, they perceive that enough accurate information is relayed electronically to allow physicians to understand and evaluate their symptoms and health conditions without being present to “touch and feel” them.

Attitudes
The attitude of the patient surfaces with increasingly knowing their rights to quality care and believing that telemedicine improves access to quality care. Patients suffering from chronic illnesses that live in rural areas and have limited access to doctors due to disability or age have virtual visits with PCPs or specialists not always available to them.

In conclusion, most Americans are not “at the tip of the iceberg way up high in the health care services” as Senator Kennedy stated in his 1978 convention speech. The road to managing our health care crisis is paved with a golden opportunity. The HBM and TPB behavioral models show that quality care offered universally and equitably at a lower cost is a reality with the growing use of mHealth and telemedicine. Now is the time to allow digital health to propel our nation’s health care system forward to realize our desired outcome.

References:

Darmon, Luc. “Wireless for Wearables.” Embedded Computing Design. (2014)

Newell, Derek. “5 Ways Mobile Apps Will Transform Healthcare.” Forbes. (2012)

Paddock, Catharine, Ph.D. “How Self-Monitoring Is Transforming Health.” Medicine News Today (2013)

Serrano, C. I. and Karahanna, E. “An Exploratory Study of Patient Acceptance of Walk-In Telemedicine Services for Minor Conditions.” International Journal of Healthcare Information Systems and Informatics (IJHISI), 4(4), 37-56. (2009)

Turner-McGrievy G.M., Beets M.W., Moore J.B., Kaczynski A.T., Barr-Anderson D.J. and Tate D.F. “Comparison of Traditional Versus Mobile App Self-Monitoring of Physical Activity and Dietary Intake among Overweight Adults Participating in an mHealth Weight Loss Program.” Journal of American Medical Informatics Association, 20(3), 513–8. (2013)

West, Darrell. “How Mobile Devices are Transforming Healthcare.” Issues in Technology Innovation. Center for Technology Innovation at Brookings. (2012)

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May 20, 2015

In her 1996 book It Takes a Village, current presidential candidate and former United States Senator, First Lady, and Secretary of State Hillary Rodham Clinton detailed her view that multiple determinants, such as community involvement, cultural/environmental influences and social interactions, contribute to how a child is raised. Similarly, inciting a consumer call to action with disease prevention outreach programs takes an amalgamation of different social and behavioral theories which rely on the same factors as the village concept. Studies assert that outreach programs based on more than one theoretical foundation, including Million Hearts which was established by combining the Health Belief Model (HBM) and the Theory of Planned Behavior (TPB), are more likely to produce a desired positive outcome than those that lack theory or are based on only one theory.

The Health Belief Model

The first social behavioral theoretical foundation, Health Belief Model (HBM), emphasizes that the willingness to take action and prevent risk depends upon the beliefs about the susceptibility and severity of disease; the perceptions about the benefits and barriers; cues to action and self-efficacy.

In a hypertension prevention study, Hispanic respondents not only misperceived that certain behaviors are barriers that would increase their risk factors, but also expressed a lack of confidence in their ability to perform such behaviors as having their BP checked regularly, limiting their salt intake, eating five or more servings of fruit and vegetables daily, exercising at least 30 minutes four or more days of the week, and controlling their weight. The general perception that hypertension was not a severe disease and the susceptibility misunderstanding resulted in 68.6% of the respondents being at increased risk for developing hypertension.

The Theory of Planned Behavior

The second social behavioral theoretical foundation, Theory of Planned Behavior (TPB), assumes that attitude, subjective norms, and perceived behavioral control predict actual behavior. Attitude refers to beliefs merged with the value placed on the behavioral performance outcome. Subjective norm signifies the perception of the social expectations to adopt a specific behavior. Perceived behavioral control reflects the beliefs about the level of ease or difficulty of performance behavior.

A circle of culture surfaced in a hypertension prevention study concerning poor eating patterns passed from generation to generation; physician distrust and questioning reasons doctors would want to lower BP because of the belief that physicians would not have a job if they addressed this health issue; and an unwelcome move that changes consumers from insiders to outsiders when they act differently by engaging in healthy behaviors. Severing cultural traditions and adopting preventive behaviors suggested by health care professionals resulted in social pressures.

Combining HBM & TPB: The Million Hearts™ Program

The Million Hearts™ national outreach program engages Community Health Workers (CHWs) to help achieve the goal of preventing one million heart attacks and strokes in the United States by 2017. The CHWs educate consumers about the importance of fit lifestyles and specifically promote these tenets for maintaining a healthy BP:

1)     Having routine screenings for high BP;

2)     Understanding BP numbers and the significance of lowering BP while searching for economical ways to increase lower sodium and whole grain foods and still keep their weight within BMI;

3)     Comprehending the ramifications of uncontrolled BP that include damage to eyes, kidneys, heart blood vessels, and brain; high risk of heart attack and stroke; and chronic kidney failure requiring dialysis.

CHWs encourage consumers to interact with other members of the community including their physicians about clearly defined health goals and keep a daily record of BP readings to track progress. CHWs also introduce consumers to social workers and others who can teach them how to apply for programs and insurance that help pay for health care. Many Hispanic consumers prefer to learn information with plain language fotonovelas, similar to comic books, which are common in the culture. Personal interaction is carried out by “promotoras” from the same ethnic background who honor the tradition of reading a fotonovela with consumers.

In summary, creating a consumer call to action with disease prevention outreach programs such as a Million Hearts™ takes a village of community involvement, cultural/environmental influences and social interactions supported by different theories including HBM and TPB. The underlying premise is that a combination of theories informs the message. Theories determine why, what, and how a health issue should be addressed and assist in developing successful program strategies that reach targeted priority populations to affect a positive impact.

References:

Del Pilar Rocha-Goldberg, María et al. “Hypertension Improvement Project (HIP) Latino: Results of a Pilot Study of Lifestyle Intervention for Lowering Blood Pressure in Latino Adults.” Ethnicity & Health 15.3 (2010): 269–282. PMC. Web. 19 May 2015.

Glanz, Karen, Rimer, Barbara K., andViswanath, K. Health Behavior and Health Education: Theory, Research, and Practice (4th ed). San Francisco: Jossey-Bass. 2008.

Noar, Seth M., Chabot, Melissa, and Zimmerman, Richard S. “Applying Health Behavior Theory to Multiple Behavior Change: Considerations and Approaches.” Prevention Medicine. Volume 46. March 2008.

Peters, Rosalind M., and Thomas N. Templin. “Theory of Planned Behavior, Self-Care Motivation, and Blood Pressure Self-Care.” Research and Theory for Nursing Practice 24.3 (2010): 172–186.

Peters, Rosalind M., Karen J. Aroian, and John M. Flack. “African American Culture and Hypertension Prevention.” Western Journal of Nursing Research 28.7 (2006): 831–863. PMC. Web. 19 May 2015.

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March 18, 2015

In such a strongly regulated industry where it is most important to avoid a downslide, pharma is falling behind in digital health. Risk taking and innovation suggests being open-minded for failure. As Robert F. Kennedy said, “Only those who dare to fail greatly can ever achieve greatly.” The path to success is filled with risk taking: adventurously shifting the predictive and precise, sustainability, quality-based and patient-centric healthcare delivery models away from the reliance on profitable drugs and moving towards resource allocation in digital health to engage patients in new ways.

Predictive and Precise Healthcare Delivery Model with Data Analytics: Real-world evidence and outcome research not only identifies high risk patients but also anticipates medical issues to create customized care plans for individuals as well as improves patient population health through data analytics in the predictive and precise model. Digitally leveraging this model with telehealth efforts, such as wearable devices, can result in pharma partnering with equipment manufacturers to deliver patient adherence information. Headsets which track brain activity and sleep patterns, and sensored “esmart” clothing which monitors blood pressure and heart rate can allow for medication content to be analyzed and then used to form clinical decisions. mPharma and smart devices can digitally leverage this model with real-time, self-tracking, and progress feedback devices and apps, such as 1) food and movement tracking apps; 2) compliance apps with automatic prescription refills; and 3) sensor supported diabetes apps that create a new demand for test strips.

Sustainability Healthcare Delivery Model with Community and Personalized Content: Fostering digital patient-to-patient interaction instead of information exchange exclusively between patient and physician is a key factor in the sustainability model. Online patient communities, such as PatientsLikeMe, digitally leverage this model by allowing for patient reciprocation of objective medical information that results in resourceful discussions about a patient’s personal experiences with different medications that have proven efficacy. Physician communities such as KevinMD and Sermo also can digitally leverage this model with physicians acquiring value through sharing online information with other medical experts about new and successful drugs. Both communities not only promote certain medications but also create pharma brand loyalty.

Quality-Based Healthcare Delivery Model with Physician Tools: Reimbursement depends on measures which promote clinical expertise in the quality-based model. Physician tools support the diagnosis and selection treatment, increase the efficiency of the care process and improve the rapport between the physician and patient. Digitally leveraging this model with IBM’s Watson shows that physicians are on the forefront of technological care access with virtual assistants to facilitate physician referencing and decision making and also improve patient confidence in the progressive capabilities of their physicians who they believe will prescribe the newest and most effective drugs on the market. Electronic Health Records (EHRs) are utilized as cloud-based solutions that integrate data resulting in research and clinical trials that lead to faster results. Patients are engaged via recruitment for clinical trials and the post-market monitoring of safety and efficacy with prescription medication.

Patient-Centric Healthcare Delivery Model with Patient Tools: Consumer experience and understanding patients in their daily lives to achieve patient adherence is the main emphasis of the patient-centric model. Patient tools such as Quick Response (QR) codes that allow patients to interact with chosen information at their own pace can digitally leverage this model. Specific QR codes for each product can be imprinted on prescription bottles and boxes leading patients directly to the online product website. Patient education explaining use, dosage, and safety information can be highlighted through animations, interactivity, and videos from medical practitioners. Remote monitoring support programs can provide information about a patient’s surgically-implanted device that allows constant observation of functioning organs and the skills patients need to manage them. Monitored results can be programmed to text patients’ phones to remind them about upcoming medication doses. The information can be collected and returned to the physician in real-time which would allow for any necessary intervention to be delivered immediately.

In summary, technologically leveraging the predictive and precise, sustainability, quality-based and patient-centric healthcare delivery models with data analytics, community and personalized content, physician tools, and patient tools, respectively, will bring pharma up to speed with current digital health efforts resulting in improved outcomes. Pharma will always invest money where it believes it can secure the highest return, but risk is of utmost concern. At the moment, pharma envisions the highest gain and lowest risk opportunity in developing drugs and not in developing ways of digital patient engagement. By pharma taking a riskier, spirited leap of faith and engaging patients through digital health, greater progress will be achieved.

References:
Gupta, Anu, Schumacher, Jeff and Sinha, Saptarshi. “Digital Health:  A Way for Pharma Companies to be More Relevant in Healthcare.” Booz & Company. (2013)
“Healthcare Delivery of the Future:  How Digital Technology Can Bridge Time and Distance Between Clinicians and Consumers.” EHealth Research Institute. (2014)
“Wearable Tech Regulated as Medical Devices Can Revolutionize Healthcare.” MDDI Medical Device and Diagnostic Industry News Online. (2014)
Palgon, Gary. “Secondary Use of Healthcare Data. and Health:  Use the Cloud to Harness Mainstream Patient Data for Valuable Research.” Contract Pharma. (2013) Brueggeman, Jessica. “Managed Markets:  Operation Patient-Centricity.” Medical Marketing & Media. (2014)

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February 18, 2015 0

Tenuta and Gallagher artwork - DTC_programatic_futureThe experience of encountering advertising tailored to one’s behaviors or interests on the internet has become ubiquitous in a very short time. We’ve all had that experience – shopping for a particular shoe on Zappos or gadget on Amazon, not buying it, then having an ad for that shoe or that gadget magically appear in a whole variety of other websites during the course of our browsing over a period of days or even weeks. Or, perhaps, buying that shoe or gadget, and then encountering ads for similar shoes or gadgets, or shoe/gadget accessories.

It isn’t magic, of course – it’s programmatic buying, bringing together technology and data to serve media to specific audiences by using exact or inferred behaviors. The reason it has become so prevalent so quickly is because it works. Programmatic buying offers consumer marketers of all stripes the opportunity to narrow their audience focus, increase the efficiency of their campaigns, and optimize their campaigns; rather than scattering the seeds of a campaign the old fashioned way, those seeds can be planted only in what has proven to be the most receptive earth, thereby optimizing the campaign, saving marketing dollars, and increasing the potential return of the dollars that do get spent.

Unfortunately, those of us in healthcare have largely missed out on this thrilling media revolution. We’ve missed out because we are stuck behind a privacy barrier that strictly limits what we can learn about the medical history of any consumers we might want to reach through media. In other categories like CPG, finance, and travel, advertisers can use actual purchase behavior and sales data to identify and target more qualified audiences. Purchases can be tracked and used to inform the media that is served to an individual in the future. But this type of precision-based, one-to-one audience targeting is not permitted or possible in health care; the data is unavailable for marketing purposes due to HIPAA regulations, which protect patient privacy and prevent the abuse of sensitive, potentially identifiable medical data.

But a pathway exists around this obstacle, and that pathway is called predictive targeting. By using tools that are already at hand, plus some cutting-edge mathematics, we can identify an audience’s predictive health behaviors by connecting other more commonly used, non-health related consumer data variables – demo, geo, media consumption, lifestyle, et cetera – to health behavior data. Once the correlations between the consumer data variables and health behavior data are found, we can then segment audiences according to their respective propensity – or likelihood – to treat within a condition or on a brand – as opposed to their actual treatment behavior. This exceeds the demands of HIPAA – since there is no way to connect actual, identifiable health data to a specific individual – and represents a privacy-compliant way to target audiences more efficiently.

So how does predictive targeting work, more specifically? Crossix Solutions, a healthcare data analytics provider, connects its patient-level healthcare data – past treatment, physician visits, brand conversions, adherence, and the like – for millions of individuals through its proprietary network of data tracked by pharmacies, payers, and other entities that play roles along the transactional chain. And data analytics providers, including Crossix, also have access to more traditional, consolidated consumer data – demographics, household income ranges, spending within specific categories, interests, media and shopping habits, online behavior. By studying these two data sets in concert – tying patient healthcare data to consumer data, all behind firewalls that keep individual identities private – correlations can be determined between them. The output of this data modeling process is a propensity score algorithm – a formula that translates all of those correlated consumer variables into a probability of treatment for a particular condition or on a specific drug brand.

Putting it into action

What makes this so empowering for the pharmaceutical brand manager is how it mitigates the privacy issue from the targeting equation. The initial development of a propensity score algorithm happens behind secure firewalls, so the marketer will never actually see any of that individualized healthcare data. And once a propensity score algorithm is developed, marketers can use it to target media to audiences based solely on the correlated consumer data variables – demographics, interests, shopping habits, the lot – still not knowing a thing about the target’s treatment history, prescription purchase activity, or anything else that’s HIPAA-protected. We can use what we are permitted to know to infer what we aren’t, and infer it with a great deal of empirical evidence.

For example – based on its analysis of the relationship between consumer and healthcare data, a company like Crossix might find that women who are married with three children, have college degrees, spend time on Facebook, shop for athletic wear, have a household income of about $100,000, like to travel domestically, and use the internet frequently have the highest correlation with household treatment of ADHD. And beyond that highly specific peak correlation, a propensity score algorithm can segment or rank audiences based on their relative propensity or likelihood to perform a specific health-related action. So for a particular branded ad campaign, if the total universe available to serve digital media is, say, 50 million consumers, a propensity score algorithm can determine which of those 50 million exhibit the combination of correlated/weighted variables with the highest propensities for the behavior in question. It may, for instance, find that only 12 million among those 50 million are the real target. Thus, DTC advertisers can design media buys in a more granular, evidence-based fashion, leading to greatly enhanced campaign efficiency and effectiveness, while reducing media waste.

 

Intouch Solutions and Crossix recently employed the predictive targeting model with a top-ten pharma client’s brand, in a target disease state with about 200,000 patients in the United States. We developed propensity score algorithms as described above, tying various consumer data points to health behaviors. Then we used those algorithms as the basis for audience-targeted online media buying. And we optimized the campaign using those algorithms daily. In doing this we demonstrated that audience-based media buying can be more effective and cost-efficient than contextual/content-based media buying.

Did it work? We used Crossix’s health data to measure campaign performance at the script level – Crossix analyses de-identified data from actual prescription transactions and determined how many individuals exposed to the ad visited the doctor or began treatment with the client’s brand as a result of their ad exposure. As the campaign test ran, we discovered that physician visits of people exposed to the audience-targeted campaign components vs people exposed to the contextual/content-focused components were nearly three times higher, and the estimated cost per patient start was about one-twentieth as much for the audience-targeted components as it was for the contextual parts of the buy.

So yes – it worked. In fact, these experiments in predictive targeting have shown such promise that the tool has rapidly become a part of Intouch’s standard media conversation, and these pilots have now become the norm. And while a conversation about “individualized healthcare data” clearly piques the interest of clients’ regulatory teams, once we explain the process of developing predictive algorithms and prove the strong separation between identifiable healthcare data and actual targeting activities, Intouch has seen no resistance.

 

All this is not to say that the age of traditional endemic or contextual media buying is over. Predictive targeting will not replace those tools any time soon – patients will always go to contextual locations, so it’d be silly to abandon them altogether. But predictive targeting does offer healthcare marketers a whole new way to plan and optimize their media buying, a way that is both data-driven and data-proven. Plenty of ink has been spilled over the past year or two about so-called “big data” and how it might impact the business of healthcare marketing. But predictive targeting is not a “maybe” proposition. It’s a real tool that brands can use today to more accurately find their intended audiences and serve them the most relevant media, based on those patients’ statistically established propensities for performing the behaviors the media is designed to encourage. The tale of “big data” in healthcare marketing may largely remain to be written – but predictive targeting is already an exciting part of this evolving story.

 

About the Authors:

Angela Tenuta headshot  As Executive Vice President, Angela Tenuta leads client services for Intouch Solutions, a digital-centric marketing agency focused on the pharmaceutical industry. With 18 years’ experience in pharmaceutical marketing, Angela is driven by the prospect of creating programs that inspire meaningful connections between pharma, patients and HCPs. Since joining Intouch in 2006, Angela has led teams through many pharma digital “firsts” including the first pharma e-CRM campaign, first pharma Yahoo! homepage takeover, the first pharma CPA campaign, and the first digital sales aid. Prior to joining Intouch, Angela rose through the ranks of Draftfcb, spending nine years in client service roles there. Connect with her on LinkedIn, email her at angela.tenuta@intouchsol.com, or call her at (312) 540-6905.

 

Shannon Gallagher headshotShannon Gallagher serves as Vice President, Analytics Services at Crossix Solutions, where she leads the ongoing expansion of Crossix services and capabilities at the intersection of pharmaceutical and consumer healthcare. A veteran consultant in market research and data analytics for the pharmaceutical, healthcare and CPG sectors, Shannon is passionate about Crossix’s unique position to harness Big Data to empower better communication to the patient as a consumer. Prior to joining Crossix, Shannon spent 10 years working at Nielsen in Innovation Analytics, consulting on new product development for Rx and OTC/CPG manufacturers. Connect with her on LinkedIn, email her at shannon.gallagher@crossix.com, or call her at (212) 994-9367.

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