Predictive Patient Engagement Program

An existing patient support program was struggling to keep patients engaged due to one-size-fits-all model that failed to meet the needs of different patient groups
Our goal was to decipher the key factors that influence patient adherence and provide recommended engagement and days on therapy

Propensity4 analyzed demographics, prescribing patterns, and engagement behavior of over 3,000 existing and lapsed patients
We studied the impact and response from patients based on initiation experience and treatment regimen
We identified what motivated a patient to engage with a PSP and remain on therapy
We developed a risk scoring algorithm to assess a patient’s likelihood and timing of discontinuing treatment
We created recommended interventions based on patient risk profiles and engagement profiles to assist patients treatment journey

In partnership with our client and Inizio Engage Patient Services, we created a dynamic approach to patient engagement tailored to a patient’s therapy-start method, and engagement history
We created support guidelines that adapt to patients’ needs through their treatment journey
We implemented a tracking plan by patient groups to analyze engagement and product persistency trends to drive further refinement in engagement
16 weeks time from program award until patient profiles were created, engagement recommendations were delivered, and the Nurse Care Navigator program launched

Learn more about our work.

For more case studies and insights from Propensity4, click below.

Jump to a slide with the slide dots.

End-to-end US launch support for EU client’s dry eye device—from KAM team and CRM setup to data analytics, targeting, and incentive strategy.

Propensity4’s dual archetyping model reshapes MSL focus lists by targeting both Scientific and Community KOLs.

Propensity4 helped a large Life Sciences organization to implement structural changes to combat LOE on their Patient Solutions Program.