scholarly journals Health System Reforms to Accelerate Universal Health Coverage in Côte d'Ivoire

2018 ◽  
Vol 4 (2) ◽  
pp. 69-71 ◽  
Author(s):  
Simplice Dagnan
2020 ◽  
Vol 5 (9) ◽  
pp. e002934
Author(s):  
Denizhan Duran ◽  
Sebastian Bauhoff ◽  
Peter Berman ◽  
Tania Gaudet ◽  
Clovis Konan ◽  
...  

Low quality of care is a significant problem for health systems in low-income and middle-income countries (LMICs). Policymakers are increasingly interested in using performance-based financing (PBF), a system-wide provider payment reform, conditioned on both quantity and quality of performance, to improve quality of care. The health system context influences both the design and the implementation of these programmes and thus their effectiveness. This study analyses how context has influenced the design and implementation of PBF in improving the quality of primary care in one particular setting, Cote d’Ivoire, a lower-middle income country with some of the poorest health outcomes in the world. Based on literature, an analytical framework was developed identifying five pathways through which financial incentives can influence the quality of primary care: earmarking, conditioning, provider behaviour, community involvement and management. Guided by this framework, semistructured interviews were conducted with policymakers and providers to diagnose the context and to assess the links between financing and quality of care at the primary care level. PBF in Cote d’Ivoire was found to have increased data availability and quality, facility-wide and disease-specific inputs, provider motivation and management practices in contracted facilities, but had limited success in improving process and outcome measures of quality, as well as community involvement and the provision of non-incentivised services. These limitations were attributable to a centralised health system structure constraining the decision space of health providers; financing and governance challenges across the health sector; and shortcomings with regard to the design of the PBF quality checklist and incentive structures in Cote d’Ivoire. In order to improve the quality of primary care, health sector reforms such as PBF should incorporate the organisational and service delivery context more broadly into their design and implementation, as is the case in other countries.


PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0260247
Author(s):  
Nicole Fraser-Hurt ◽  
Xiaohui Hou ◽  
Thomas Wilkinson ◽  
Denizhan Duran ◽  
Gerard J. Abou Jaoude ◽  
...  

Background Countries are increasingly defining health benefits packages (HBPs) as a way of progressing towards Universal Health Coverage (UHC). Resources for health are commonly constrained, so it is imperative to allocate funds as efficiently as possible. We conducted allocative efficiency analyses using the Health Interventions Prioritization tool (HIPtool) to estimate the cost and impact of potential HBPs in three countries. These analyses explore the usefulness of allocative efficiency analysis and HIPtool in particular, in contributing to priority setting discussions. Methods and findings HIPtool is an open-access and open-source allocative efficiency modelling tool. It is preloaded with publicly available data, including data on the 218 cost-effective interventions comprising the Essential UHC package identified in the 3rd Edition of Disease Control Priorities, and global burden of disease data from the Institute for Health Metrics and Evaluation. For these analyses, the data were adapted to the health systems of Armenia, Côte d’Ivoire and Zimbabwe. Local data replaced global data where possible. Optimized resource allocations were then estimated using the optimization algorithm. In Armenia, optimized spending on UHC interventions could avert 26% more disability-adjusted life years (DALYs), but even highly cost-effective interventions are not funded without an increase in the current health budget. In Côte d’Ivoire, surgical interventions, maternal and child health and health promotion interventions are scaled up under optimized spending with an estimated 22% increase in DALYs averted–mostly at the primary care level. In Zimbabwe, the estimated gain was even higher at 49% of additional DALYs averted through optimized spending. Conclusions HIPtool applications can assist discussions around spending prioritization, HBP design and primary health care transformation. The analyses provided actionable policy recommendations regarding spending allocations across specific delivery platforms, disease programs and interventions. Resource constraints exacerbated by the COVID-19 pandemic increase the need for formal planning of resource allocation to maximize health benefits.


2019 ◽  
Vol 13 (4) ◽  
pp. 369-374
Author(s):  
A. Yao ◽  
A. Hué ◽  
J. Danho ◽  
P. Koffi-Dago ◽  
M. Sanogo ◽  
...  

2009 ◽  
Vol 48 (4) ◽  
pp. 323-325
Author(s):  
Drissa Kone ◽  
Amani N’Goran ◽  
Diomandé Ve

Sign in / Sign up

Export Citation Format

Share Document