Emmanuel Lesilwa, Goodluck Tesha, Jasmine Chadewa, Agnes Kosia, Zahra Mkomwa, Bayoum Awadhi, Gaudiosa Tibaijuka, Rita Noronha, Dunstan Bishanga, Lusekelo Njonge, Frank Chacky, Abdallah Lusasi, Ally Mohamed, Chonge Kitojo, and Erik Reaves presented a poster entitled “Use of Malaria Service and Data Quality Improvement (MSDQI) Tool in Cascaded Supervision Approach Improved Quality of Malaria Services – Experience from Mwanza, Tanzania” at the 68th Annual Meeting of the American Society of Tropical Medicine and Hygiene. Their findings are shared below.
Inadequate quality of malaria service and data has been one of the problems in Mwanza region due to high malaria prevalence, inadequate knowledge of supervisors and standardized supervision tool. In 2017, NMCP and stakeholders developed malaria services and data quality improvement (MSDQI) tool to guide supervisors. The tool comprises of seven modules addressing performance of Malaria Case Management with indicators weighted against a standard score. Any facility scoring below 50% of the overall score is deemed poorly performing, 50%-75% moderate and above 75% good performance.
What is Malaria Service and Data Quality Improvement (MSDQI)? It is a checklist to guide supportive supervision teams in evaluating the quality of malaria services at the health facility level. MSDQI helps with the:-
- Monitoring and evaluation
- Facility-based malaria performance indicators
- Provision of timely, accurate information and data for decision-making at district, regional, and national levels
In the attached graphs we present the Number of malaria test among OPD cases and the Number of malaria test among OPD cases which increased from 527,734 in 2016 to 1,241,990 in 2018 in Mwanza region. This resulted to the decrease of patients treated without malaria confirmatory test.
There was Increased coverage of LLINs in pregnant women and infants.
Increased coverage of LLINs in Pregnant women went from 4.9% 2016 to 75.6% in 2018. Likewise that for Infants increased from 2.9% 2016 to 65% in 2018.
Several Lessons were Learned. Cascaded supervision approaches contribute to improved quality of malaria service provision and hence improved malaria indicators. The Way forward is to Continue using cascaded supervisors to improve quality of data and malaria services through MSDQI
*Affiliation: : USAID Boresha Afya Lake and Western Zone – PATH; USAID Boresha Afya Lake and Western Zone –Jhpiego; National Malaria Control Programme-Tanzania Ministry of Health, Community Development, Gender, Elderly and Children, Tanzania; US President’s Malaria Initiative-United States Agency for International Development
This presentation was made possible by the generous support of the American people through the United States Agency for International Development (USAID). The contents are the responsibility of the USAID Boresha Afya and do not necessarily reflect the views of USAID or the United States government