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10:46
A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
Published on: December 9, 2015
A multi-centre study on quality of routine data collection on relapses
1Medical & Scientific Department, AIFO, Italy. sunil.deepak@aifo.it
Leprosy Review
|April 26, 2013
Summary
Leprosy relapse data collection quality varied across six countries. Diagnostic criteria for relapses were inconsistently applied, impacting leprosy program effectiveness.
Area of Science:
- Public Health
- Infectious Diseases
- Epidemiology
Background:
- Accurate data collection on leprosy relapses is crucial for effective disease control programs.
- Routine surveillance systems are essential for monitoring disease trends and program performance.
Purpose of the Study:
- To evaluate the quality of routine data collection practices for leprosy relapses.
- To assess the consistency and accuracy of relapse identification in leprosy programs across six countries.
Main Methods:
- A questionnaire-based survey was administered to project managers in six participating countries.
- Data collection focused on the methods and criteria used for identifying and reporting leprosy relapses.
Main Results:
- No correlation was observed between the number of reported relapse cases and new cases within projects.
- Skin smears were not consistently utilized for diagnosing multibacillary (MB) leprosy cases and relapses.
- Relapse diagnosis relied predominantly on clinical assessment (91.8%), specifically on the appearance of new lesions.
Conclusions:
- The criteria for identifying leprosy relapses were either unknown or not uniformly applied across the studied projects.
- Inconsistent application of diagnostic criteria hinders accurate assessment of relapse rates and program effectiveness.
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