Two parallel reporting systems for malaria surveillance in Pakistan, 2013–17: is exact burden reflected?

Background: Pakistan is facing challenges regarding the availability of reliable data for malaria surveillance. These include lack of coordination between different reporting systems and fragmented information system. This study aimed to compare the reporting of malaria surveillance systems in Pakistan. Methods: : There are two parallel reporting systems for malaria surveillance in Pakistan, the District Health Information System (DHIS) and Malaria Information System (MIS). DHIS reports on all morbidity at health facility level, while MIS is only used for malaria surveillance in the donor supported districts. A cross sectional study was conducted between July-September 2018 by using the retrospective records of DHIS and MIS data reported to the Directorate of Malaria Control (DOMC) Islamabad during 2013-17. Descriptive and inferential analysis was performed to compare the coverage, outcome and impact indicators. Results: : During 2013-17, all districts (n=145, 100%) across Pakistan reported on the DHIS. The MIS reporting coverage has gradually increased from 21 (14.5%) to 72 (49.7%) districts. Reported number of suspected screened and confirmed malaria cases were compared. MIS reported twice the number of suspects screened for malaria (100.5%) and confirmed malaria cases (124.4%) as compared to the DHIS. The difference in the reported average annual blood examination rate (ABER) was 3.8, test positivity rate (TPR) was -0.9 and the annual parasite incidence (API) was 4.9/1000 population over five years between two systems. DHIS reported only half the ABER and API as compared to MIS. Conclusion: There is huge under-reporting of suspected and confirmed malaria cases in the DHIS as compared to MIS. Urgent attention is needed to address this, as it is vital to have uniform reporting of true disease burden across the country. An integrated disease surveillance system, improved data validation systems, and use of the online DHIS-2 are potential options for better integrity and coherence of reported data.