Registries

AFLAR is committed to improving the diagnosis, treatment, and management of rheumatic diseases in Africa through comprehensive data collection. Our registries provide invaluable information for research, clinical practice, and policy-making, helping to enhance patient care and outcomes. Participate in our rheumatology registries to contribute to and benefit from valuable data that informs clinical practice and research.

Current Registries

African Rheumatology Patient Registry

The African Rheumatology Patient Registry is a continent-wide database that collects detailed information on patients with rheumatic diseases. This registry aims to:
Track Disease Patterns: Monitor the prevalence and incidence of various rheumatic conditions across different regions.

Improve Treatment: Analyze treatment outcomes to identify best practices and areas for improvement.
Support Research: Provide a rich data source for epidemiological and clinical research.

For Patients

Patients can contribute to improving rheumatology care by consenting to have their data included in our registries. Participation is voluntary, and all data is kept confidential.
– Provide Consent: Talk to your healthcare provider about participating in the registry.
– Contribute Data: Help us gather important information to advance research and treatment.

How to Participate

For Healthcare Providers

Healthcare providers are encouraged to submit patient data to AFLAR’s registries. Participation helps ensure that the registries are comprehensive and representative of the African population.
– Register Your Institution: Sign up your institution to participate in the registry.
– Submit Data: Follow our secure and confidential data submission process.
– Access Data: Gain access to anonymized registry data for research and clinical purposes.

Benefits of Participation

– Advancing Research: Contribute to groundbreaking studies that can lead to better treatments and outcomes.
– Improving Care: Help healthcare providers develop more effective and personalized treatment plans.
– Influencing Policy: Support data-driven decisions that can improve healthcare policies and resource allocation.

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