Measuring Patient Engagement Success

Measuring success in any endeavor requires a metric and scale by which to measure. Once this is determined, a method must be developed to determine how a company’s efforts rate. Patient engagement initiatives are, by now, familiar territory within the biopharma industry. Less familiar is how to determine the success of a program.

The Importance of Measuring

The need for robust and comprehensive measurement is imperative. The extent to which these programs meet goals and achieve intended outcomes determines not only the direction of patient interactions but can also provide insight for future product development. Additional reasons why measurement is important include:

  • Effectiveness measurement

  • Data-driven enhancements

  • Optimizing of resources

  • Evidence to key stakeholders

  • Market differentiation

  • Compliance and risk mitigation

the importance of measuring patient engagement
  • Effectiveness measurement

  • Data-driven enhancements

  • Optimizing of resources

  • Evidence to key stakeholders

  • Market differentiation

  • Compliance and risk mitigation

building a plan for measuring patient engagement

Building a Plan

A strong measurement plan considers several factors. It starts with defining program objectives. Increased therapy retention is an example of a goal where a definitive answer is available. The rate of retention, then, would be a key performance indicator (KPI), and this is the determinant category of data in answering whether objectives are achieved.

The next step is consideration of data collection methods and the development of tools to gather the information. From there, it’s time to monitor, measure, and analyze progress made through the patient engagement process.

Finally, as the measurement system yields the data sought, the information begins and perpetuates continuous improvement in the patient engagement program. These improvements aren’t just a matter of systemic changes, but also adjustments to individual interventions to strengthen a truly personalized process.

Define program objectives

Identify KPIs

Choose data collection methods and develop tools

Monitor, measure, and analyze progress

Continuous improvement

Approaches to Data Collection

Four straightforward methods of data collection include:

  • Human-led surveys: questions asked person-to-person.

  • Digital surveys: questions delivered or prompted through digital communication methods.

  • Platform tools and systems: deriving data from the information used within the patient engagement program.

  • Script/claims analysis: Script analysis provides data on prescription fill and refill patterns. Analyzing medical claims reveals patterns in healthcare utilization.

Evaluation of Patient Engagement

Leading and lagging indicators provide insight into how well a patient engagement program performs. Leading indicators for patient engagement are metrics or data points that precede a specific outcome. Lagging indicators are the more robust measurement of performance. These are the KPIs that reflect the main goals of the program.

LEADING INDICATORS

  • Reach
  • Opt-in rate
  • Active participation
  • Continuation rate
  • Topics discussed
  • Confidence level
  • Knowledge level
  • Motivation level
  • Satisfaction level
evolution of patient engagement

LAGGING INDICATORS

  • Reduced abandonment
  • Improved persistency
  • Superior experience
  • Reduction in cost
  • Quality of life patient-reported outcomes

LEADING INDICATORS

  • Reach
  • Opt-in rate
  • Active participation
  • Continuation rate
  • Topics discussed
  • Confidence level
  • Knowledge level
  • Motivation level
  • Satisfaction level
evolution of patient engagement

LAGGING INDICATORS

  • Reduced abandonment
  • Improved persistency
  • Superior experience
  • Reduction in cost
  • Quality of life patient-reported outcomes

Measurement Drives Results

The measurement of patient engagement programs and the utilization of innovative tools to extract more value from data are paramount in today’s healthcare landscape. Effective measurement of patient engagement programs provides valuable insights into their impact, identifies successful strategies, and pinpoints areas that need refinement. Data-driven evaluation allows evidence-based decisions, ensuring align with patient needs and expectations.

Further, data-driven evaluation demonstrates program benefits. Particularly considering the lagging indicators of program success above, the results a successful patient engagement program produces include improved outcomes for patients and better financial performance for biopharma companies, as well as better brand perception.

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