How to Estimate Optimal Malaria Readiness Indicators at Health-District Level: Findings from the Burkina Faso Service Availability and Readiness Assessment (SARA) Data

Availability and readiness of the health facilities to provide HIV counseling and testing and prevention of mother-to-child transmission services in Burkina Faso: a trend analysis from 2012 to 2018

BACKGROUND

Provider-Initiated HIV Testing and Counseling (PITC) and Prevention of Mother-To-Child Transmission (PMTCT) are key services for achieving the goal of complete elimination of HIV. However, there is limited evidence on the ability of health facilities to provide these services in Burkina Faso. Therefore, we aimed to assess the trends and disparities in the availability and readiness of health facilities to provide PITC and PMTCT services in Burkina Faso between 2012 and 2018.

METHODS

We performed a secondary analysis of facility-level data from the World Health Organization's Service Availability and Readiness Assessment (SARA) surveys conducted in 2012, 2014, 2016, and 2018 in Burkina Faso. The availability and readiness of health facilities were assessed using SARA's manual, and linear regressions were used to examine trends.

RESULTS

Between 2012 and 2018, the mean proportion of health facilities providing PITC services increased, but not significantly, from 82.9% to 83.4% (p = 0.11), with the mean readiness index significantly decreasing from 71.5% to 65.4% (p < 0.001). This decrease concerned the staff and guidelines (73.8% to 50.5%; p < 0.001), equipment (79.0% to 77.4%; p < 0.001), and medicines and commodities (54.2% to 45.2%; p < 0.001) domains. Regarding the PMTCT services, the mean proportion of health facilities globally providing the service significantly decreased from 83.7% in 2012 to 67.7% (p = 0.030) in 2018, and the mean readiness significantly decreased from 53.2% in 2012 to 50.9% in 2018 (p = 0.004). This decreasing trend was related to the staff and training (80.3% to 57.6%; p < 0.001) and medicines and commodities (9.2% to 6.5%; p < 0.001) domains. The global significant negative trend of readiness was mainly observed at the primary level of healthcare (52.7% to 49.4%; p = 0.030). Four regions experienced a significant decrease in the readiness index of health facilities to provide PMTCT services: Cascades, Centre, Centre-Sud, and Sud-Ouest, while Haut-Bassins and Nord regions showed increasing trends.

CONCLUSION

Availability and readiness of health facilities to provide PITC and PMTCT remain suboptimal in Burkina Faso. Actions to strengthen the skills of professionals and enhance the availability of medicines and commodities while focusing more on health regions with significant decreasing trends are urgently needed to improve the quality of services for HIV.

Addressing challenges in routine health data reporting in Burkina Faso through Bayesian spatiotemporal prediction of weekly clinical malaria incidence

Sub-Saharan African (SSA) countries’ health systems are often vulnerable to unplanned situations that can hinder their effectiveness in terms of data completeness and disease control. For instance, in Burkina Faso following a workers' strike, comprehensive data on several diseases were unavailable for a long period in 2019. Weather, seasonal-malaria-chemoprevention (SMC), free healthcare, and other contextual data, which are purported to influence malarial disease, provide opportunities to fit models to describe the clinical malaria data and predict the disease spread. Bayesian spatiotemporal modeling was applied to weekly malaria surveillance data from Burkina Faso (2011–2018) while considering the effects of weather, health programs and contextual factors. Then, a prediction was used to deal with weekly missing data for the entire year of 2019, and SMC and free healthcare effects were quantified. Our proposed model accurately predicted weekly clinical malaria incidence (correlation coefficient, r = 0.90). The distribution of clinical malaria incidence was heterogeneous across the country. Overall, national predicted clinical malaria incidence in 2019 (605 per 1000 [95% CrI: 360–990]) increased by 24.7% compared with the year 2015. SMC and the interaction between free healthcare and health facility attendance were associated with a reduction in clinical malaria incidence. Our modeling approach could be a useful tool for strengthening health systems’ resilience by addressing data completeness and could support SSA countries in developing appropriate targets and indicators to facilitate the subnational control effort.