Relying on Data and Behavior Science to Unlock Real Change

May 1, 2019
Michelle Keefe

Applied Clinical Trials

Applied Clinical Trials, Applied Clinical Trials-05-01-2019, Volume 28, Issue 5

What small “nudges” can serve as reminders and relevant motivators to help patients meet their goals, talk to a physician, explore a clinical trial, or stick with a treatment?

“Proceed boldly” is a common mantra within industries experiencing intense market pressures. But is it suited to the life sciences? Can pharmaceutical companies embrace unfamiliar approaches, replace their decades-old traditions, and view their stakeholders through a new lens? Experience suggests that new directions are possible for companies that make use of data to focus their resources and of behavioral science to understand their stakeholders.

A recent study by Managed Healthcare Executive found that leveraging clinical data and analytics is one of the biggest challenges that healthcare leaders face. Typically, they have issues with managing large data sets, working across data silos, and extracting data that’s meaningful to different stakeholder segments. Meanwhile, studies have shown a direct correlation between an organization’s “data literacy,” or the ability to turn data into meaningful information, and its financial performance.¹

The fundamental step in making data more actionable is to systematize one’s approach to it. Not all data are necessary; it’s a matter of turning to just the right data. Often, the most useful data sets for providing clarity in healthcare decision making aren’t from large, legacy, proprietary sources. Frequently they’re from quickly accessible-and sometimes even open-sources.

The right data can answer questions of “who,” “where,” and “when,” revealing which patients might benefit most from a treatment, where those patients can be found, and when in their treatment journey a treatment will be most helpful and successful. Such information can be used to direct resources in both clinical and commercial operations.

Data, however, cannot answer “how” questions such as: how can we connect with people and motivate them despite the noise, doubt, and fear present when they are ill? For that, we must turn to behavioral science. Behavioral science explains why people do what they do and which personal levers can activate or change their behaviors. What small “nudges” can serve as reminders and relevant motivators to help patients meet their goals, talk to a physician, explore a clinical trial, or stick with a treatment?

Research conducted by Strava, the social network for athletes, found that most people fail to keep their New Year’s resolutions by January 12th. Imagine if patients only adhered to their treatment regimen for 12 days. Patients often need help to complete a complex, critical healthcare journey. They may need support and motivation to try and try again when they face a barrier or simply miss a treatment. Just as clinical data leads to precision medicine, behavioral science leads to precision interventions.

Life science leaders are managing pressure on time and resources at a moment when the velocity of change and opportunity is faster than ever. Companies are entering new markets, engaging new customers, and leveraging new technologies. They need to validate unfamiliar approaches and drive change.

Many healthcare leaders are struggling with gaining strategic traction around that transformation. They understand they should be doing things in bold new ways, but the clarity around how isn’t always there. Organizations can only transform when they have data-driven proof of where to focus and an incredibly deep understanding of the stakeholders.

As an industry, we need to take the next step beyond “explaining” and “predicting” customer behavior, we need to employ evidence-based strategies to change it by helping customers make well-informed decisions and follow through on their intentions. The insight derived from combining data for focus and behavioral science for relevance has the potential to change the industry, as well as patients’ lives.

 

Reference

1. Balasurbramanian, Arun, MD, “Top 5 Data Analytics Trends for 2019,” DATAQUEST, 12/21/18.

 

Michelle Keefe, President of Commercial Solutions, Syneos Health

 

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