| Literature DB >> 30008563 |
Hari S Iyer1, Adanna Chukwuma2, Jean Claude Mugunga3, Anatole Manzi4, Melino Ndayizigiye5, Sudhir Anand6.
Abstract
Strong primary health care systems are essential for implementing universal health coverage and fulfilling health rights entitlements, but disagreement exists over how best to create them. Comparing countries with similar histories, lifestyle practices, and geography but divergent health outcomes can yield insights into possible mechanisms for improvement. Rwanda and Burundi are two such countries. Both faced protracted periods of violence in the 1990s, leading to significant societal upheaval. In subsequent years, Rwanda's improvement in health has been far greater than Burundi's. To understand how this divergence occurred, we studied trends in life expectancy following the periods of instability in both countries, as well as the health policies implemented after these conflicts. We used the World Bank's World Development Indicators to assess trends in life expectancy in the two countries and then evaluated health policy reforms using Walt and Gilson's framework. Following both countries' implementation of health sector policies in 2005, we found a statistically significant increase in life expectancy in Rwanda after adjusting for GDP per capita (14.7 years, 95% CI: 11.4-18.0), relative to Burundi (4.6 years, 95% CI: 1.8-7.5). Strong public sector leadership, investments in health information systems, equity-driven policies, and the use of foreign aid to invest in local capacity helped Rwanda achieve greater health gains compared to Burundi.Entities:
Mesh:
Year: 2018 PMID: 30008563 PMCID: PMC6039746
Source DB: PubMed Journal: Health Hum Rights ISSN: 1079-0969
Figure 1.Life expectancy at birth in Rwanda (solid) and Burundi (dotted), 1960–2015
Figure 2.GDP per capita (constant 2010 US$) in Rwanda (solid) and Burundi (dotted), 1960–2015
Figure 3.Net overseas development assistance received per capita in Rwanda (solid) and Burundi (dotted), 1960–2015
Figure 4.Comparison of post-conflict observed and counterfactual life expectancy in Rwanda (black line) and Burundi (gray line), 1960–2015
Health policies implemented in Rwanda and Burundi during the postwar period
| WHO building block | Rwanda | Burundi |
|---|---|---|
| Human resources | Human resources for health program to develop medical residency program (2013) | Launch of Burundi Health Workforce Observatory (2012) |
| Health service delivery | Nationwide distribution of insecticide-treated bed nets to prevent malaria transmission (2005–2006) | Decentralization of health care decision making (2009) |
| Health information systems | Implementation of nationwide health information system (2005) Trainings for data managers and data officers (2006) | Implementation of health management information systems (2008) |
| Health financing | Mutuelles de Santé community-based insurance (1999) | Abolition of user fees for delivery services and under-five care (2006) |
| Medicines, vaccines, and technology | Coordination of donors to improve access to essential medicines (2011) | Supply-chain improvement (2014) |
| Leadership and governance | National stewardship of health policy and coordination of international partners (2011) | Establishment of ministries of HIV/AIDS and health (2007) |
Results from generalized least square ARMA (2)* regression for trends in life expectancy in Rwanda and Burundi
| Parameter | 95% CI | p-value | |
| Burundi prewar baseline (β0) | 41.35 | (39.47, 43.24) | <.0001 |
| Rwanda prewar (β1) | 0.30 | (-2.38, 2.97) | 0.8282 |
| Burundi trend prewar (β2) | 0.21 | (0.13, 0.30) | <.0001 |
| Rwanda trend prewar (β3) | 0.051 | (-0.082, 0.18) | 0.4529 |
| Burundi postwar level (β4) | 4.78 | (4.53, 5.02) | <.0001 |
| Burundi postwar annual trend (β5) | 0.15 | (-0.12, 0.42) | 0.2733 |
| Pre- genocide level (β6) | 1.79 | (1.49, 2.10) | <.0001 |
| Pre-genocide annual trend (β7) | -3.81 | (-4.20, -3.42) | <.0001 |
| Rwanda postwar level (β8) | -0.90 | (-3.26, 1.46) | 0.4551 |
| Rwanda postwar annual trend (β9) | 0.69 | (0.31, 1.07) | 0.0006 |
| 100 US$ GDP Per capita (β10) | 0.071 | (-0.095, 0.24) | 0.4026 |
Autoregressive parameters: Phi1= 0.89, Theta1=1.00