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Developing a Process for Preference Measures in Pediatric Growth Hormone Deficiency: Challenges and Solutions.
Meryl Brod1, Kathryn M Pfeiffer1, Suzanne Lessard Alolga1
1Health Outcomes Research, The Brod Group, Mill Valley, CA, USA.
Patient Preference and Adherence
|May 13, 2025
Summary
Patient preferences for pediatric growth hormone deficiency (PGHD) treatments are crucial for drug development. New questionnaires, the GHD-Preference Measure (GHD-PRM) and GHD-Attribute Measure (GHD-ATM), were developed to capture these patient-centric insights.
Area of Science:
- * Patient-reported outcomes
- * Health economics and outcomes research
- * Drug development
Background:
- * Patient experience data is increasingly vital for drug development and risk/benefit analysis.
- * Assessing patient preferences is key to evaluating new therapies.
- * Pediatric Growth Hormone Deficiency (PGHD) treatment was used as a model for developing patient-centric measures.
Purpose of the Study:
- * To develop a prototype process for assessing patient-centric treatment preferences.
- * To create validated questionnaires for measuring patient preferences in PGHD.
- * To incorporate the patient voice into the drug development continuum.
Main Methods:
- * Literature review and concept elicitation interviews with experts, caregivers, and children with PGHD.
- * Data analysis using adapted ground theory.
- * Development and cognitive debriefing of the GHD-Preference Measure (GHD-PRM) and GHD-Attribute Measure (GHD-ATM).
Main Results:
- * Key caregiver preferences included ease of preparation, convenience, and side effects.
- * Treatment impacts on children's lives involved travel, social activities, and routines.
- * Findings were consistent across patient groups and treatment types (injectable vs. oral).
Conclusions:
- * The GHD-PRM and GHD-ATM are novel, rigorously developed, disease-specific preference questionnaires.
- * These measures provide valuable patient-centric data for various stakeholders.
- * Novel preference measures enhance risk/benefit analysis and inform treatment evaluations.

