Mining insights to improve patient retention on medication

Real-world data repeatedly demonstrates much lower medication adherence for newly initiated patients than what is observed in clinical trials. As reflected in the earlier ZS study on medication adherence, pharmaceutical companies lose up to 50% of patients within just two months of initiation and 70%-80% within six months. This severely impacts both patient outcomes and product performance as compared with manufacturer expectations.

Despite such a high discontinuation rate, it has been difficult for drug manufacturers to meaningfully improve patient retention. Medication adherence is informed by a myriad of factors, ranging from the disease and treatment complexity, systemic issues such as awareness, healthcare disparities, access to healthcare, the physician’s or patient’s own approach to medication, and the available patient support. This has made it a daunting task for manufacturers to identify deeper nuances around what drives poor medication adherence and accordingly design targeted approaches to address those.

Manufacturers have traditionally used strategies such as co-pay support, safety and efficacy communication to physicians, and in a few cases, patient education programs. While these approaches have driven adoption, they don’t effectively address all the complex challenges that physicians and patients face during the treatment.

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Improving patient retention is a multidisciplinary challenge that requires a blend of business strategies to overcome.

Understanding the factors that influence patient retention on medication requires a multidimensional framework

Medication adherence is influenced by a variety of interactions between patients and the healthcare system, and mining which experiences along the patient’s journey are most often responsible for therapy discontinuation is a difficult exercise. Based on our experience in both primary and specialty markets, we recommend a holistic, six-dimensional framework that evaluates a wide spectrum of potential influences and that identifies key factors in driving low patient retention in a given therapy area or brand, as follows:

FIGURE 1: Key factors driving patient retention

Prioritizing barriers is important before defining business strategy

The above framework outlines a comprehensive tool to mine specific barriers to patient retention on a particular therapy. Quantifying each factor’s impact on adherence is crucial for brand teams that might then prioritize and optimize their investments to ultimately deliver maximum value to the patient. We recommend that organizations further evaluate and prioritize these barriers based on:

  1. Their impact on an individual patient’s adherence
  2. The total number of patients they influence away from adherence
  3. The extent to which they can be addressed by manufacturers

We discuss each of the framework’s six dimensions in turn.

Using the multidimensional framework to define business strategy

Improving patient retention is a multidisciplinary challenge that requires a blend of business strategies to overcome. Our experience suggests two guiding principles for manufacturers to develop the right business strategy: a targeted approach at the local level, and a coherent effort supported by analytics capability.

1. A targeted ‘local’ approach: The range of local business strategies that can be designed to navigate barriers to patient retention is exemplified in the following diagram. There is a high degree of local variation in patient demographics, awareness, treatment practices, healthcare access, social strata and other identifiers. A successful business strategy needs to design adherence programs based on the needs of patients and providers in a particular geography. The local deployment should target three key stakeholders:

FIGURE 2: Business strategies to target the 3 key stakeholders

2. Coherent internal strategy: Manufacturers should work to unlock quick wins with the help of existing solutions and build newer solutions both internally and with external stakeholders including hospital networks, pharmacies and patient groups. It remains essential, however, to bring a concerted effort to ensure that internal functions—including medical, marketing, sales and analytics—design their programs with a common understanding of patient and provider issues. A strong analytical arm supported by real-world data, artificial intelligence and machine learning can bring significant value in mining insights and can align internal functions around a common understanding of adherence issues. Effective leadership and a strong organizational culture play a crucial role in bringing the necessary analytics innovations to the forefront and in clearing barriers for taking action based on insights.

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