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Design of a framework for the deployment of collaborative independent rare disease-centric registries: Gaucher disease registry model

Blood Cells, Molecules, and Diseases, In Press, Corrected Proof, Available online 27 January 2017, Available online 27 January 2017

Abstract

Orphan drug clinical trials often are adversely affected by a lack of high quality treatment efficacy data that can be reliably compared across large patient cohorts derived from multiple governmental and country jurisdictions. It is critical that these patient data be captured with limited corporate involvement. For some time, there have been calls to develop collaborative, non-proprietary, patient-centric registries for post-market surveillance of aspects related to orphan drug efficacy. There is an urgent need for the development and sustainable deployment of these ‘independent’ registries that can capture comprehensive clinical, genetic and therapeutic information on patients with rare diseases. We therefore extended an open-source registry platform, the Rare Disease Registry Framework (RDRF) to establish an Independent Rare Disease Registry (IRDR). We engaged with an established rare disease community for Gaucher disease to determine system requirements, methods of data capture, consent, and reporting. A non-proprietary IRDR model is presented that can serve as autonomous data repository, but more importantly ensures that the relevant data can be made available to appropriate stakeholders in a secure, timely and efficient manner to improve clinical decision-making and the lives of those with a rare disease.

Abbreviations: IRDR - Independent Rare Disease Registries, RDRF - Rare Disease Registry Framework, GR - Gaucher registry, ICGG - International Collaborative Gaucher Group, DEs - data elements, RML - Registry Mark-up Language, RML - Registry Mark-up Language, API - application programming interface.

Keywords: Gaucher disease, Independent Rare Disease Registry, Open source, Post-market surveillance, Rare Disease Registry Framework, Web-based.

Footnotes

a Centre for Comparative Genomics, Murdoch University, Murdoch, Western Australia, Australia

b Western Australian Neuroscience Research Institute, Nedlands, Western Australia, Australia

c Convenor of the Australian Bioinformatics Facility, Bioplatforms Australia, Macquarie University, North Ryde, New South Wales, Australia

d School of Medical and Health Sciences, Edith Cowan University, Joondalup, Western Australia, Australia

e Clinical Haematology and Bone Marrow Transplant Service, Royal Melbourne Hospital, Parkville, Victoria, Australia

f Genetic Services & Familial Cancer Program of Western Australia, King Edward Memorial Hospital, Subiaco, Western Australia, Australia

Corresponding author at: Centre for Comparative Genomics, Murdoch University, Building 390, Murdoch 6150, Western Australia, Australia.