Malaria Vector Control in the Electronic Malaria Surveillance Information System (E-SISMAL)

Abstract

In the Lahat District of South Sumatra Province, which has not yet been certified for malaria elimination, the 2019 Electronic Malaria Surveillance Information System (E-SISMAL) data revealed significant shortcomings in malaria vector control. Despite identifying six indigenous malaria cases, there were no recorded efforts towards vector control. This study used a qualitative approach, employing the Context, Input, Process, and Product (CIPP) model to evaluate the effectiveness of malaria vector control strategies using retrospective E-SISMAL data. Seventeen informants were selected through purposive sampling, and data collection involved Focus Group Discussions (FGDs), in-depth interviews, participatory observation, and photovoice. Researchers validated the data using triangulation of methods and sources and performed the analysis using NVivo 12 Plus software. The findings indicated significant challenges, notably in human resources with 30 coding references, additional responsibilities of program managers with 23 references, and issues with utilising Operational Health Assistance (BOK) funds cited 22 times. These factors significantly hindered the Vector Control Program (VCP), which was not running optimally. E-SISMAL reports were limited to case and logistics details, suggesting that the system had not effectively controlled malaria vectors or reported them, highlighting the need for improved strategies and resource management to enhance malaria control in the district.