Strengthening capacity to apply health research evidence in policy making: experience from four countries.

Increasing the use of evidence in policy making means strengthening capacity on both the supply and demand sides of evidence production. However, little experience of strengthening the capacity of policy makers in low- and middle- income countries has been published to date. We describe the experiences of five projects (in Bangladesh, Gambia, India and Nigeria), where collaborative teams of researchers and policy makers/policy influencers worked to strengthen policy maker capacity to increase the use of evidence in policy. Activities were focused on three (interlinked) levels of capacity building: individual, organizational and, occasionally, institutional. Interventions included increasing access to research/data, promoting frequent interactions between researchers and members of the policy communities, and increasing the receptivity towards research/data in policy making or policy-implementing organizations. Teams were successful in building the capacity of individuals to access, understand and use evidence/data. Strengthening organizational capacity generally involved support to infrastructure (e.g. through information technology resources) and was also deemed to be successful. There was less appetite to address the need to strengthen institutional capacity-although this was acknowledged to be fundamental to promoting sustainable use of evidence, it was also recognized as requiring resources, legitimacy and regulatory support from policy makers. Evaluation across the three spheres of capacity building was made more challenging by the lack of agreed upon evaluation frameworks. In this article, we propose a new framework for assessing the impact of capacity strengthening activities to promote the use of evidence/data in policy making. Our evaluation concluded that strengthening the capacity of individuals and organizations is an important but likely insufficient step in ensuring the use of evidence/data in policy-cycles. Sustainability of evidence-informed policy making requires strengthening institutional capacity, as well as understanding and addressing the political environment, and particularly the incentives facing policy makers that supports the use of evidence in policy cycles

Promoting Universal Financial Protection: Evidence from Seven Low- and Middle-Income Countries on Factors Facilitating or Hindering Progress.

Although universal health coverage (UHC) is a global health policy priority, there remains limited evidence on UHC reforms in low- and middle-income countries (LMICs). This paper provides an overview of key insights from case studies in this thematic series, undertaken in seven LMICs (Costa Rica, Georgia, India, Malawi, Nigeria, Tanzania, and Thailand) at very different stages in the transition to UHC.These studies highlight the importance of increasing pre-payment funding through tax funding and sometimes mandatory insurance contributions when trying to improve financial protection by reducing out-of-pocket payments. Increased tax funding is particularly important if efforts are being made to extend financial protection to those outside formal-sector employment, raising questions about the value of pursuing contributory insurance schemes for this group. The prioritisation of insurance scheme coverage for civil servants in the first instance in some LMICs also raises questions about the most appropriate use of limited government funds.The diverse reforms in these countries provide some insights into experiences with policies targeted at the poor compared with universalist reform approaches. Countries that have made the greatest progress to UHC, such as Costa Rica and Thailand, made an explicit commitment to ensuring financial protection and access to needed care for the entire population as soon as possible, while this was not necessarily the case in countries adopting targeted reforms. There also tends to be less fragmentation in funding pools in countries adopting a universalist rather than targeting approach. Apart from limiting cross-subsidies, fragmentation of pools has contributed to differential benefit packages, leading to inequities in access to needed care and financial protection across population groups; once such differentials are entrenched, they are difficult to overcome. Capacity constraints, particularly in purchasing organisations, are a pervasive problem in LMICs. The case studies also highlighted the critical role of high-level political leadership in pursuing UHC policies and citizen support in sustaining these policies.This series demonstrates the value of promoting greater sharing of experiences on UHC reforms across LMICs. It also identifies key areas of future research on health care financing in LMICs that would support progress towards UHC

Estimation of the incidence of animal rabies in Punjab, India.

BACKGROUND:Rabies is a devastating zoonotic disease of mammals that causes encephalitis and death. It is endemic in India, with an estimated annual 20,000 human deaths (one-third of the global rabies burden). The magnitude of animal rabies incidence is unknown. METHODS:In four sub-districts of Punjab, India, we monitored canine and livestock populations from August 15, 2016 to August 14, 2017. Demographic, clinical and rabies diagnostic laboratory (RDL) data were collected from suspected cases of rabies. The annual incidence rate / 10,000 animal years at risk (95% CI) in each sub-district was estimated for each species. RESULTS:During 2016-2017, a total of 41 suspected rabies cases were detected in the four selected sub-districts in Punjab. Laboratory confirmed rabies (LCR) incidence was 2.03/10,000 dog years (0.69, 5.96) and 2.71/10,000 dog years (1.14, 6.43) in stray and pet dogs, respectively. The LCR incidence in farmed buffalo and cattle was 0.19/10,000 buffalo years (0.07, 0.57) and 0.23/10,000 cattle years (0.06, 0.88), respectively. The LCR incidence amongst equine was 4.28/10,000 equine years (0.48, 38.10). Stray cattle rabies incidence in the selected sub-districts was 9.49/10,000 cattle years (3.51, 25.67). If similar enhanced surveillance for rabies was conducted state-wide, we estimate that 98 (34-294) buffalo, 18 (2-156) equine, 56 (15-214) farmed cattle, 96 (35-259) stray cattle, 128 (54-303) pet dogs and 62 (21-182) stray dogs would be expected to be confirmed with rabies in Punjab annually. CONCLUSION:These results indicate that rabies incidence in animals, particularly in dogs and stray cattle, is much higher than previously suspected. We recommend that statewide enhanced disease surveillance should be conducted to obtain more accurate estimates of rabies incidence in Punjab to facilitate better control of this important disease