Decentralised pregnancy registry study

Case study

A fully decentralised pregnancy registry study enabled global capture of rare pregnancy exposures through direct patient and healthcare provider engagement, supporting robust long-term safety evidence generation.

Overview

Generating pregnancy safety evidence for rare disease therapies presents unique challenges, including extremely low exposure rates and geographically dispersed patient populations. To address these challenges, ICON designed and implemented a fully decentralised pregnancy registry that supported post-approval evidence requirements while maximizing global reach, patient access, and long-term study sustainability.

Challenge

The sponsor needed to satisfy a post‑approval pregnancy safety commitment across multiple countries despite a small number of exposed pregnancies Given the low number of exposed cases, traditional enrolment models were not operationally efficient and risked limiting patient identification and data collection opportunities. A scalable, patient-centric solution was required to facilitate global case capture while maintaining robust scientific and regulatory oversight.

Solution

ICON implemented a fully decentralised pregnancy registry, serving as the central scientific and operational hub. A dedicated country-level structure was established, with oversight provided either directly by ICON or through local Key Opinion Leaders acting as Principal Investigators.

The registry leveraged targeted patient and healthcare professional outreach to support enrolment and data collection, integrating information from both patients and treating physicians. Independent teratology experts conducted pregnancy outcome adjudication to ensure consistent and scientifically rigorous assessment across participating countries.

To maximise enrolment and long-term retention in a low-exposure population, ICON implemented optimized recruitment and retention strategies through a flexible, multi-pronged approach, including engagement with Patient Advocacy Groups (PAGs), targeted outreach to medical communities and professional societies, tailored stakeholder communications, and robust awareness campaigns directed at potentially exposed women and their healthcare providers. Digital and social media channels were utilized to expand reach and enhance engagement.

The model was supported by ICON's innovation and technology-enabled solutions, facilitating efficient patient identification, engagement, and long-term follow-up while minimizing participant burden.

Designed with scalability in mind, the registry could be seamlessly expanded into additional markets as the product launched in new geographies, without requiring significant changes to study infrastructure, governance, or operational processes.

Outcome

The decentralised registry enabled compliant, long-term pregnancy safety monitoring across multiple geographies while efficiently capturing rare exposures. The approach reduced burden on patients and healthcare providers, supported both prospective and retrospective case capture, and ensured continuity of scientific oversight in a low-exposure rare disease setting.

ICON value add

  • Purpose-built decentralised registry model for rare disease and low-exposure populations
  • Centralized coordination across countries, stakeholders, and data sources 
  • Integrated stakeholder engagement and recruitment strategy, combining PAG (Patient Advocacy Groups) partnerships, medical community outreach, and digital engagement to increase awareness, maximise enrollment, and support long-term retention
  • Multiple and flexible reporting pathways for patients and healthcare providers, including direct contact options to facilitate data collection, enhance participation, and support data completeness
  • Independent teratology adjudication, ensuring rigorous evaluation and interpretation of pregnancy outcomes 
  • Scalable global delivery model enabling seamless expansion into new markets as products launch across additional geographies
  • Long-term governance model ensuring study continuity, data quality, and regulatory compliance

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