At country-level, NCDI Poverty Commissions catalyze national efforts to reduce the death and suffering of those doubly afflicted by extreme poverty and NCDIs through a four-phase theory of change.
During Phase 1 of the NCDI Poverty Network process, National Commissions analyze local data on NCDIs and apply equity-driven principles to prioritize interventions addressing severe conditions that disproportionately impact the poorest children and young adults.
During Phase 2, prioritized NCDI interventions are translated into actionable delivery strategies through the process of integration science. National NCDI Poverty Commissions are particularly concerned with the most vulnerable (the poor, those with more severe health conditions, children, and young adults) and generally prioritize interventions that must be implemented at intermediate and tertiary health system levels alongside those that can be delivered in the community and at primary health-care facilities, thus breaking down previously unclear pathways to UHC into manageable components.
During Phase 3 of the National Commission process, countries work to train providers to deliver groups of prioritized services through integrated delivery models; provide these services to groups of patients at facilities in multiple regions of the country; prepare these facilities to serve as training sites for other providers; and develop the policies and plans needed to scale these delivery models nationally. One integrated delivery model that is already decentralizing some priority interventions for severe, chronic NCDs including type 1 diabetes, rheumatic heart disease, and sickle cell disease, in Haiti, Liberia, Malawi, and Rwanda is PEN-Plus. Ten additional Network member countries are initiating implementation of PEN-Plus.
During Phase 4, countries and partner organizations in the NCDI Poverty Network work together to build financial and technical partnerships as well as an NCDI Poverty Fund to support low-income countries in implementing integrated delivery strategies at scale.