Abstract:
Background: Reliable and accurate malaria surveillance information is essential for the planning, implementation, and evaluation of malaria control programming. This study was conducted at health facility level to generate an input for malaria surveillance system.
Objectives:
To assess the status of malaria surveillance data quality and associated factors in West Hararghe Zone of Oromia regional state, Ethiopia.
Methods:
Facility based cross sectional study design was conducted by using multi-stage random sampling technique to select 15 woredas, 33 PHCUs and 42 Health Posts for the assessment. Data analysis was done by using SPSS Version 20. Association between variables was computed using binary and multivariate logistic regression.
Results:
Out of the assessed 90 health institutions, 44 (49%, 95%CI: 38.9, 60.0)) had good malaria surveillance data quality status. Significant associations were found between malaria surveillance data quality and availability of malaria monitoring charts (AOR=21.6, 95%CI (1.2, 383.3)), internal surveillance data quality check (AOR=6.8, 95%CI (1.2, 39.0)) and frequency of feedback from higher level on surveillance data quality (AOR=13.09, 95%CI (2.10, 81.47)).
Conclusion & recommendation
This study has identified that malaria surveillance data quality was inadequate in half of the assessed health facilities. Regular surveillance data quality review, written feedback provision, internal data quality checking practices should be encouraged at all levels of health system to improve malaria surveillance data quality.
....................................... Thesis available at ACIPH Library