Optimizing the malaria data recording system through a study of case detection and treatment in Sri Lanka.
The potential of using malaria incidence data routinely collected from endemic regions for disease control and research has increased with the availability of advanced computer-based technologies, but will depend on the quality of the data itself.
We report here an investigation into the relevance of malaria statistics provided by the routine data collection system in Moneragala, a rural malaria-endemic region in Sri Lanka.
All patients (n=321) treated for malaria in 2 clusters of health care centres (HCCs) of both the private and the public sector in the administrative regions of Moneragala and Buttala Divisional Secretariat (D.S.). Divisions were studied in December 1995/January 1996.
The catchment area of these HCCs included a population resident in 53 Grama Niladhari (GN) areas, the smallest administrative units of the country.
Almost equal numbers of malaria patients were detected and treated at Government and private health care institutions, and in 70% of them treatment was based on a diagnosis confirmed by microscopy.
The routine data recording system, however, included only statistics from the Government sector, and only of patients whose diagnosis was microscopically confirmed.
In compiling data, the origin of a case of malaria is attributed to the D.S. (...)
Mots-clés Pascal : Paludisme, Protozoose, Parasitose, Infection, Incidence, Méthode optimisation, Santé, Information, Enregistrement, Epidémiologie, Base donnée, Intérêt, Lutte sanitaire, Homme, Sri Lanka, Asie
Mots-clés Pascal anglais : Malaria, Protozoal disease, Parasitosis, Infection, Incidence, Optimization method, Health, Information, Recording, Epidemiology, Database, Interest, Sanitary control, Human, Sri Lanka, Asia
Notice produite par :
Inist-CNRS - Institut de l'Information Scientifique et Technique
Cote : 98-0007783
Code Inist : 002B05E02B4. Création : 17/04/1998.