Understanding Antenatal Care Service Quality for Malaria in Pregnancy through Supportive Supervision Data in Tanzania.

Malaria in pregnancy (MiP) is associated with maternal anemia, spontaneous abortion, and infant and maternal death. In Tanzania, MiP service data are collected through routine Malaria Services and Data Quality Improvement (MSDQI) supportive supervision rounds at antenatal care (ANC) facilities. Using structured assessment tools, the U.S. President's Malaria Initiative Impact Malaria Project reviewed two annual rounds of MSDQI data (492 facilities in 2021 and 522 facilities in 2022), including ANC records and client satisfaction interviews. We assessed coverage of key MiP care components, used logistic regression to analyze uptake of the recommended three or more doses of intermittent preventive treatment in pregnancy (IPTp3+), and assessed client satisfaction. Coverage of most MiP care components exceeded 80%; however, only 38% of women received all components. Odds of receiving IPTp3+ were much lower among late ANC initiators than among those who initiated ANC during their first trimester (odds ratio [OR], 0.46; 95% CI, 0.38-0.57). Uptake of IPTp3+ increased almost exponentially by number of ANC visits. Women with seven visits were 30 times more likely than those with three visits to receive IPTp3+ (OR, 30.71; 95% CI, 11.33-83.22). Just 54% of clients had anemia screening and only 46% received IPTp3+. Client satisfaction with services and provider communication was high (98% and 97%, respectively); only 8% of client visits exceeded 3 hours. Increased ANC visits could boost IPTp3+ coverage. Routine MSDQI supportive supervision data are useful to assess quality of care, identify service delivery gaps, and guide policies to improve quality of MiP services.

Introduction and Evaluation of an Electronic Tool for Improved Data Quality and Data Use during Malaria Case Management Supportive Supervision.

Although on-site supervision programs are implemented in many countries to assess and improve the quality of care, few publications have described the use of electronic tools during health facility supervision. The President's Malaria Initiative-funded MalariaCare project developed the MalariaCare Electronic Data System (EDS), a custom-built, open-source, Java-based, Android application that links to District Health Information Software 2, for data storage and visualization. The EDS was used during supervision visits at 4,951 health facilities across seven countries in Africa. The introduction of the EDS led to dramatic improvements in both completeness and timeliness of data on the quality of care provided for febrile patients. The EDS improved data completeness by 47 percentage points (42-89%) on average when compared with paper-based data collection. The average time from data submission to a final data analysis product dropped from over 5 months to 1 month. With more complete and timely data available, the Ministry of Health and the National Malaria Control Program (NMCP) staff could more effectively plan corrective actions and promptly allocate resources, ultimately leading to several improvements in the quality of malaria case management. Although government staff used supervision data during MalariaCare-supported lessons learned workshops to develop plans that led to improvements in quality of care, data use outside of these workshops has been limited. Additional efforts are required to institutionalize the use of supervision data within ministries of health and NMCPs.

Effect of Supportive Supervision on Performance of Malaria Rapid Diagnostic Tests in Sub-Saharan Africa.

Rapid diagnostic tests (RDTs) are one of the primary tools used for parasitological confirmation of suspected cases of malaria. To ensure accurate results, health-care workers (HCWs) must conduct the RDT test correctly. Trained supervisors visited 3,603 facilities to assess RDT testing performance and conduct outreach training and supportive supervision activities in eight African countries between 2015 and 2017, using a 12-point checklist to determine if key steps were being performed. The proportion of HCWs performing each step correctly improved between 1.1 and 21.0 percentage points between the first and third visits. Health-care worker scores were averaged to calculate facility scores, which were found to be high: the average score across all facilities was 85% during the first visit and increased to 91% during the third visit. A regression analysis of these facility scores estimated that, holding key facility factors equal, facility performance improved by 5.3 percentage points from the first to the second visit (P < 0.001), but performance improved only by 0.6 percentage points (P = 0.10) between the second and third visits. Factors strongly associated with higher scores included the presence of a laboratory worker at the facility and the presence of at least one staff member with previous formal training in malaria RDTs. Findings confirm that a comprehensive quality assurance system of training and supportive supervision consistently, and often significantly, improves RDT performance.