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ZENODO
Report . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Report . 2026
License: CC BY
Data sources: Datacite
ZENODO
Report . 2026
License: CC BY
Data sources: Datacite
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GLOBAL PERSPECTIVES ON RARE DISEASE CENTERS: What We Learned from Case Studies

Authors: Rare Diseases International; Brambilla, Sara; Chakraborty Choudhury, Mohua;

GLOBAL PERSPECTIVES ON RARE DISEASE CENTERS: What We Learned from Case Studies

Abstract

This report, conducted by Rare Diseases International (RDI), presents insights from a qualitative case study project exploring eight rare disease centers across diverse global contexts. Through semi-structured interviews, it examines how centers are organized, deliver care, engage patients, and collaborate within their health systems.The findings highlight a wide range of models shaped by local resources, policies, and system constraints.Common challenges and enabling factors are identified, alongside innovative practices that support more coordinated and patient-centered care.These case studies aim to inform policy, strengthen collaboration, and support the development of more equitable rare disease care globally.

Keywords

Rare Diseases, rare disease care, Organizational Case Studies, Global Health, rare diseases centres

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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green