Acceleration of Malaria Monitoring Program Led by Nurses Using Electronic Data Systems on the Shore of Lake Sentani

Abstract

The global adoption of Electronic Data Systems (EDS) presents a significant opportunity to enhance malaria case recovery and monitoring programs. This research aims to determine the causal relationship between EDS-based applications and accelerating malaria monitoring efforts. An experimental design was employed, involving 148 respondents selected through cluster random sampling and divided equally into two groups: the treatment group (74 participants) received EDS interventions. In contrast, the control group (74 participants) followed conventional methods. The dependent variable was malaria, while the independent variables were the malaria monitoring program and EDS. Inclusion criteria included residents with a history of malaria, whereas exclusion criteria comprised residents without prior exposure to malaria. Data were processed using SPSS and analyzed quantitatively and comparatively through the Paired Sample T-Test. Results showed most respondents with malaria exposure were aged 25–40 years (31.8%). The use of EDS improved treatment outcomes by 33.3%. A notable difference in efficiency was observed between the control group (average score: 16.6, categorized as "Fair") and the treatment group (average score: 25.5, categorized as "Very Good"). P-values for malaria screening and monitoring using EDS were 0.039, 0.035, and 0.008, all of which were below the 0.05 threshold. Similarly, the p-value comparing conventional methods with EDS usage was 0.008, indicating a statistically significant difference.  The findings suggest that EDS applications significantly enhance the efficiency and effectiveness of malaria monitoring programs by nurses compared to conventional methods. Future studies should explore the nationwide implementation of EDS, stakeholder engagement on the shore of Lake Sentani, and comparative analysis with established healthcare apps.