Universal health coverage and the poor: to what extent are health financing policies making a difference? Evidence from a benefit incidence analysis in Zambia.

BACKGROUND: Zambia has invested in several healthcare financing reforms aimed at achieving universal access to health services. Several evaluations have investigated the effects of these reforms on the utilization of health services. However, only one study has assessed the distributional incidence of health spending across different socioeconomic groups, but without differentiating between public and overall health spending and between curative and maternal health services. Our study aims to fill this gap by undertaking a quasi-longitudinal benefit incidence analysis of public and overall health spending between 2006 and 2014. METHODS: We conducted a Benefit Incidence Analysis (BIA) to measure the socioeconomic inequality of public and overall health spending on curative services and institutional delivery across different health facility typologies at three time points. We combined data from household surveys and National Health Accounts. RESULTS: Results showed that public (concentration index of - 0.003; SE 0.027 in 2006 and - 0.207; SE 0.011 in 2014) and overall (0.050; SE 0.033 in 2006 and - 0.169; SE 0.011 in 2014) health spending on curative services tended to benefit the poorer segments of the population while public (0.241; SE 0.018 in 2007 and 0.120; SE 0.007 in 2014) and overall health spending (0.051; SE 0.022 in 2007 and 0.116; SE 0.007 in 2014) on institutional delivery tended to benefit the least-poor. Higher inequalities were observed at higher care levels for both curative and institutional delivery services. CONCLUSION: Our findings suggest that the implementation of UHC policies in Zambia led to a reduction in socioeconomic inequality in health spending, particularly at health centres and for curative care. Further action is needed to address existing barriers for the poor to benefit from health spending on curative services and at higher levels of care.

Assessing the population-wide exposure to lead pollution in Kabwe, Zambia: an econometric estimation based on survey data.

This study quantitatively assessed the population-wide lead poisoning conditions in Kabwe, Zambia, a town with severe lead pollution. While existing data have reported concerning blood lead levels (BLLs) of residents in pollution hotspots, the data representing the entire population are lacking. Further, selection bias is a concern. Given the lack of compulsory testing schemes, BLLs have been observed from voluntary participants in blood sampling surveys, but such data can represent higher or lower BLLs than the population average because of factors simultaneously affecting participation and BLLs. To illustrate the lead poisoning conditions of the population, we expanded the focus of our surveys and then econometrically estimated the BLLs of individuals representing the population, including those not participating in blood sampling, using background geographic, demographic, and socioeconomic information. The estimated population mean BLL was 11.9 µg/dL (11.6-12.1, 95% CI), lower than existing data because of our wide focus and correction of selection bias. However, the scale of lead poisoning remained immense and 74.9% of residents had BLLs greater than 5 µg/dL, the standard reference level for lead poisoning. Our estimates provide a deeper understanding of the problem and a foundation for policy intervention designs.

Assessing care-givers' satisfaction with child immunisation services in Zambia: Evidence from a national survey.

AIM: The main aim of this study was to assess care-giver satisfaction with vaccination services in public health facilities in Zambia, and examine its determinants. METHODS: This study used data from a recent population-based household survey, conducted from May to August 2015. Respondent satisfaction with vaccination services received during the last visit was measured on a five point Likert scale ranging from 1 to 5. We used an ordered logistic regression model to analyse the significance of perceived quality of vaccination services, immunisation delivery mode and a range of individual characteristics in predicting care-giver satisfaction. RESULTS: Findings show that one in five care givers were unsatisfied with the vaccination services that they had received, with rural populations showing a significantly higher level of satisfaction. Poor quality of care, defined by long waiting times, poor quality of communication between health staff and care givers, long distance to vaccination sites, mode of delivery, and personal characteristics were among major factors driving care-giver satisfaction ratings. We also find that receiving a vaccination at outreach mode of delivery was associated with higher odds of greater satisfaction compared to on-facility vaccination services. The odds of satisfaction were lower for respondents living further away from a health facility, which emphasizes the importance of access in seeking vaccination services. CONCLUSION: These findings suggest that major improvements in quality of vaccination and service organisation will be needed to increase client satisfaction and service utilisation.