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Tutorial on Analyzing Patient-Reported Outcome Measures in Clinical Development
Krina Mehta1,2, Jim H Hughes3, Jiawei Zhou4
1NAMLink, Cypress, CA, USA.
Clinical and Translational Science
|July 29, 2026
Summary
Patient-reported outcomes (PROs) are crucial for drug development. Advanced pharmacometric methods unlock PRO data
Area of Science:
- Pharmacometrics
- Clinical Development
- Patient-Reported Outcomes
Background:
- Patient-reported outcomes (PROs) are vital for drug development and regulatory review.
- Current PRO data analysis often underutilizes longitudinal information, limiting insights.
- Existing methods fail to capture the full patient-centric meaning within PRO measures.
Purpose of the Study:
- To outline considerations for aligning PRO measures with research questions.
- To demonstrate robust analytical methods for utilizing PRO data.
- To highlight pharmacometric approaches for enhanced PRO data analysis.
Main Methods:
- Utilized pharmacometric approaches, including bounded outcome score modeling.
- Applied item response theory-nonlinear mixed effects modeling.
- Demonstrated methods through working examples with PRO data.
Main Results:
- Pharmacometric methods enable efficient use of all available PRO data.
- These approaches improve sensitivity to treatment effects and provide interpretable longitudinal trajectories.
- PROs can move beyond exploratory endpoints to integral tools for treatment assessment.
Conclusions:
- Pharmacometric approaches enhance the utilization of PRO data in drug development.
- Integrating PROs improves understanding of treatment tolerability and patient-centric outcomes.
- Early integration and collaboration are key to realizing the full potential of PROs.
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