Clinical endpoints are critical in evaluating the effectiveness of new treatments. Traditionally, endpoints in trials have focused on objective, clinical measures of disease. However, these endpoints do not always capture patient experiences, treatment burden, or quality of life factors that may influence treatment adherence and overall outcomes.

Regulatory agencies, including the FDA and EMA, are increasingly prioritising patient input in the drug development process, particularly in the selection of clinical trial endpoints. This shift towards patient-centricity aims to ensure that medical products align more closely with patient needs and preferences.

Understanding whether patient-centred methodologies have been sufficiently integrated in a disease area needs to be included at the early pipeline gap analysis stage. A thorough, patient-inclusive gap analysis ensures an understanding of whether patient-centred methodologies have been prioritised to enhance the relevance and impact of clinical endpoints, or whether patient preference research remains underutilised, ultimately leaving unmet needs unaddressed. 

Examples of patient-centred methodologies for a patient-inclusive gap analysis include:

  • Discrete Choice Experiments (DCEs): Assessing trade-offs patients are willing to make regarding efficacy, side effects, and treatment burden.
  • Best-Worst Scaling (BWS): Identifying the most and least important treatment attributes.
  • Qualitative Interviews and Surveys: Engaging patients in structured and unstructured discussions to understand lived experiences and endpoint priorities.

In the context of rare diseases, these methodologies are particularly crucial due to the limited treatment options and the severe impact of these conditions. However, there are challenges, including:

  • Heterogeneity of Outcomes: Rare diseases often manifest differently among patients, complicating the selection of universal endpoints.
  • Limited Validated Measures: Many rare diseases lack specific, validated PRO instruments, necessitating the development or adaptation of existing tools.
  • Small Sample Sizes: The rarity of these conditions leads to small patient populations, posing difficulties in achieving statistical significance.

To address these challenges, early and continuous engagement with patient communities, researchers, and regulatory bodies is vital.

Ensuring that clinical trials capture outcomes that matter most to those living with the disease requires any gap analysis to be patient inclusive. Identifying whether existing endpoints reflect patient priorities allows for the refinement of methodologies and the development of new, meaningful measures. Additionally, recognising the limitations and practical challenges of integrating patient preferences ensures that efforts to enhance trial design remain both feasible and impactful. By embedding patient perspectives at the heart of endpoint selection, clinical research can drive treatments that deliver tangible, life-improving benefits for individuals with rare diseases.