TITLE:
Malaria Surveillance at the Patent Medicine Vendors: A Pilot Study in Jigawa State, Nigeria
AUTHORS:
Jalal-Eddeen Abubakar Saleh, Abdullahi Saddiq, Rex Mpazanje, Lynda Ozor, Umar Garba Bulangu, Seye Babatunde, Ini Nglass, Edwin Edeh, Nura Shuaib, Moses Onoh
KEYWORDS:
Malaria Elimination, Patent Medicine Vendors, mRDT, ACT, Jigawa, Suspected Fever, Nigeria
JOURNAL NAME:
Open Access Library Journal,
Vol.7 No.9,
September
29,
2020
ABSTRACT: Background: In Nigeria, the 2018 world malaria report shows that the country’s malaria surveillance system detects less than 20 per cent of the total malaria case. In malaria control programmes, the main source of data is health facility-based and reported routinely through the health information systems. The collected data is mainly for monitoring and evaluation at the programmatic level. Although the adoption of the District Health Information Software (DHIS2) has greatly improved the availability of routine data from health facilities, much is being missed out in the developing countries. And this is because a sizeable number of malaria cases ends up at the formal and non-formal patent medicine vendors (PMVs), thus raising questions about the representativeness of the data collected through the routine DHIS2. Methods: This pilot study, using a quantitative cross-sectional study, attempted to assess malaria surveillance at the PMVs. Three local government areas (LGAs) of Jigawa state, northwestern Nigeria were randomly selected at one LGA from each of the three senatorial districts of the state. Using SPSS statistical application version 24, the study looked at suspected malaria cases across the LGAs. Also, it assessed causal relationships between the RDT testing for suspected malaria and treatment using the ACTs at the PMVs. The eligible participants were children and adults across the two genders with suspected malaria using fever as the entry point. The study collected data for suspected malaria cases between 1st September and 30th November 2019. Results: The analyses show that a total of 9080 suspected fever cases reported in 22 wards across the 3 selected LGAs (Dutse, Ringim, and Kafin Hausa). The disaggregated data shows Dutse reported 2328 (25.64%), Ringim 3515 (38.71%), and K/Hausa 3237 (35.65%) cases. The Pearson Correlation 1.000, (α = 0.01, p