Evaluating the impact of social support services on tuberculosis treatment default in Ukraine.

Ukraine is among the top 20 highest drug-resistant tuberculosis burden countries in the world. Driving the high drug-resistant tuberculosis rates is an unchecked treatment default rate. This evaluation measures the effect of social support provided to tuberculosis patients at risk of defaulting on treatment during outpatient treatment. Five tuberculosis patient cohorts, served in three oblasts from 2011 and 2012, were constructed from medical records to compare risk factors for default, receipt of social services, and treatment outcome. Regression analyses were used to identify risk factors predictive of treatment default and to estimate the impact of the social support program on treatment default, controlling for risk, disease status, and demographics. In 2012, tuberculosis patients receiving social support in Ukraine reduced their probability of defaulting on continuation treatment by 10 percentage points compared to high-risk patients who did not receive social support in 2012 or 2011. Treatment success rates for the high-risk patients receiving social support were comparable to the low-risk cohorts and significantly improved over the high-risk comparison cohorts. Further research is recommended to quantify the costs and benefits for scaling-up social support services, evaluate social support program fidelity, identify which populations respond best to select services, and what barriers might still exist to achieve better adherence. With that information, tailoring programs to most effectively reach and serve clients in a patient-centered approach may reap substantial rewards for Ukraine.

An equity analysis of performance-based financing in Rwanda: are services reaching the poorest women?

Maternal health services continue to favour the wealthiest in lower and middle income countries. Debate about the potential of performance-based financing (PBF) to address these disparities continues. As PBF is adopted by countries, it is critical to understand the equity effects for maternal services. The aim of this study is to examine the effects of PBF on equity in maternal health service use when no specific provisions target the poorest in the population. In Rwanda, PBF was designed to increase health service use, which was universally low. Paired districts were randomly assigned to intervention and control for PBF implementation. Using Rwanda's Demographic Health Survey data from 2005 (pre-intervention) and 2007-8 (post-intervention), a cluster-level panel dataset of 7899 women 15-49 years of age from intervention (4477) and control districts (3422) was created. The impact of PBF on reported use of facility deliveries, antenatal care (ANC) and modern contraceptive use was estimated using a difference-in-differences model with community fixed effects. Interaction terms between wealth quintiles and PBF were estimated to identify the differential effect of PBF among poorer women. The probability of a facility delivery increased by 10 percentage points in the intervention when compared with the control districts (P = 0.014), while no significant effects were noted for ANC visits or modern contraceptive use. Service use increased for intervention and control populations and across all wealth quintiles from 2005 to 2007, with no evidence that PBF was a pro-poor or a pro-rich strategy. Insurance remained a positive predictor of service use. This research suggests that if service use is uniformly low then a PBF programme that incentivizes select services, such as facility deliveries, may improve service use overall. However, if the equity gap is extreme, then a PBF programme without equity targets will do little to alleviate disparities.