Congo’s Renewed Data Collection Initiative
In an effort to procure data that can drive public health policies, the Republic of Congo is set to initiate its third Demographic and Health Survey (DHS) next August. This strategic initiative, facilitated by the National Institute of Statistics (INS), will deploy field agents across the nation’s fifteen departments to amass health data. The survey will encompass a wide array of indicators, from hospital attendance rates to contraceptive practices, and the prevalence of HIV/AIDS along with nutritional data.
Targeting Populations for Comprehensive Insights
The DHS will focus on gathering extensive information from key demographics: women aged 15 to 49, children under five, and men between 15 and 64 years. Such targeted data collection aspires to yield insights that are critical for formulating effective health strategies. During a pivotal session held in Brazzaville on June 20, the DHS Steering Committee, having completed preparatory phases, addressed logistics, methodological testing, and the selection of household samples for the survey.
A Unique Approach with an HIV/AIDS Module
Distinguishing this third iteration of the DHS is its integration of an HIV/AIDS module, complemented by blood tests assessing the prevalence of both HIV/AIDS and malaria. As highlighted by Director General Stève Bertrand Mboko Ibara, this unique integration has received ethical clearance from the national committee, enabling comprehensive biochemical analyses to furnish pivotal health insights.
Strategic Objectives and National Development Goals
This initiative stands as a cornerstone in the Republic of Congo’s pursuit to generate reliable data that would underpin national health initiatives and align with the National Development Plan 2022-2026, in tandem with the Sustainable Development Goals. By aligning efforts with these long-term plans, the DHS is poised to offer a foundational dataset critical for combating malaria and HIV/AIDS, thereby steering healthcare policy and resource allocation effectively.
Cost and Methodological Considerations
While facing substantial financial commitments, the technical team resolved to employ a probabilistic sampling method, ensuring statistical robustness and representativeness of the collected data. Sylvain Lekaka, the chief of staff for the Ministry of Economy, Planning and Regional Integration, emphasized the overarching aim to deliver data which is not merely statistical, but pivotal in shaping actionable health policies.
