Calculating the Costs of Implementing Integrated Packages of Community Health Services: Methods, Experiences, and Results From 6 sub-Saharan African Countries.

BACKGROUND: Ensuring access to a package of integrated primary health care services is essential for achieving universal health coverage. In many countries, community health programs are necessary for primary health care service provision, but they are generally underfunded, and countries often lack the necessary evidence on costs and resource requirements. We conducted prospective cost analyses of community health programs in 6 countries in sub-Saharan Africa using the Community Health Planning and Costing Tool. METHODS: The Community Health Planning and Costing Tool is a spreadsheet-based tool designed to cost key programmatic elements of community health services packages, including training, equipment, incentives, supervision, and management. In each country, stakeholders defined a package of community health services and corresponding standard treatment guidelines to estimate normative costs, which were applied to program scale-up targets. The data were entered into the tool, and cost models were prepared for different geographical and service utilization scenarios. The results were reviewed and validated with the governments, implementing partners, and expert panels. Additional scale-up scenarios were modeled, taking into account probable constraints to increasing community health service provision and potential funding limitations. RESULTS: The services and scope of community health service packages varied by country, depending on contextual factors and determined health priorities. The package costs also varied significantly depending on the size and contents of the service package, the service delivery approach, the remuneration of the community health workers, and the cost of medicines and supplies. CONCLUSIONS: Community health programs and service packages are different in every country and change over time as they evolve. They should be routinely costed as an integral part of the planning and budgeting process and to ensure that sufficient resources are allocated for their effective and efficient implementation.

How to improve outbreak response: a case study of integrated outbreak analytics from Ebola in Eastern Democratic Republic of the Congo.

The emerging field of outbreak analytics calls attention to the need for data from multiple sources to inform evidence-based decision making in managing infectious diseases outbreaks. To date, these approaches have not systematically integrated evidence from social and behavioural sciences. During the 2018-2020 Ebola outbreak in Eastern Democratic Republic of the Congo, an innovative solution to systematic and timely generation of integrated and actionable social science evidence emerged in the form of the Cellulle d'Analyse en Sciences Sociales (Social Sciences Analytics Cell) (CASS), a social science analytical cell. CASS worked closely with data scientists and epidemiologists operating under the Epidemiological Cell to produce integrated outbreak analytics (IOA), where quantitative epidemiological analyses were complemented by behavioural field studies and social science analyses to help better explain and understand drivers and barriers to outbreak dynamics. The primary activity of the CASS was to conduct operational social science analyses that were useful to decision makers. This included ensuring that research questions were relevant, driven by epidemiological data from the field, that research could be conducted rapidly (ie, often within days), that findings were regularly and systematically presented to partners and that recommendations were co-developed with response actors. The implementation of the recommendations based on CASS analytics was also monitored over time, to measure their impact on response operations. This practice paper presents the CASS logic model, developed through a field-based externally led consultation, and documents key factors contributing to the usefulness and adaption of CASS and IOA to guide replication for future outbreaks.

Learning for Universal Health Coverage.

The journey to universal health coverage (UHC) is full of challenges, which to a great extent are specific to each country. 'Learning for UHC' is a central component of countries' health system strengthening agendas. Our group has been engaged for a decade in facilitating collective learning for UHC through a range of modalities at global, regional and national levels. We present some of our experience and draw lessons for countries and international actors interested in strengthening national systemic learning capacities for UHC. The main lesson is that with appropriate collective intelligence processes, digital tools and facilitation capacities, countries and international agencies can mobilise the many actors with knowledge relevant to the design, implementation and evaluation of UHC policies. However, really building learning health systems will take more time and commitment. Each country will have to invest substantively in developing its specific learning systemic capacities, with an active programme of work addressing supportive leadership, organisational culture and knowledge management processes.