BackgroundAntenatal care (ANC) is one of the recommended interventions to reduce maternal and neonatal mortality. Yet in most Sub-Saharan African countries, high rates of ANC coverage coexist with high maternal and neonatal mortality. This disconnect has fueled calls to focus on the quality of ANC services. However, little conceptual or empirical work exists on the measurement of ANC quality at health facilities in low-income countries. We developed a classification tool and assessed the level of ANC service provision at health facilities in Zambia on a national scale and compared this to the quality of ANC received by expectant mothers.MethodsWe analysed two national datasets with detailed antenatal provider and user information, the 2005 Zambia Health Facility Census and the 2007 Zambia Demographic and Health Survey (DHS), to describe the level of ANC service provision at 1,299 antenatal facilities in 2005 and the quality of ANC received by 4,148 mothers between 2002 and 2007.ResultsWe found that only 45 antenatal facilities (3%) fulfilled our developed criteria for optimum ANC service, while 47% of facilities provided adequate service, and the remaining 50% offered inadequate service. Although 94% of mothers reported at least one ANC visit with a skilled health worker and 60% attended at least four visits, only 29% of mothers received good quality ANC, and only 8% of mothers received good quality ANC and attended in the first trimester.ConclusionsDHS data can be used to monitor “effective ANC coverage” which can be far below ANC coverage as estimated by current indicators. This “quality gap” indicates missed opportunities at ANC for delivering effective interventions. Evaluating the level of ANC provision at health facilities is an efficient way to detect where deficiencies are located in the system and could serve as a monitoring tool to evaluate country progress.

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Background Across low-income and middle-income countries (LMICs), one in ten deaths in children younger than 5 years is attributable to diarrhoea. The substantial between-country variation in both diarrhoea incidence and mortality is attributable to interventions that protect children, prevent infection, and treat disease. Identifying subnational regions with the highest burden and mapping associated risk factors can aid in reducing preventable childhood diarrhoea.Methods We used Bayesian model-based geostatistics and a geolocated dataset comprising 15 072 746 children younger than 5 years from 466 surveys in 94 LMICs, in combination with findings of the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017, to estimate posterior distributions of diarrhoea prevalence, incidence, and mortality from 2000 to 2017. From these data, we estimated the burden of diarrhoea at varying subnational levels (termed units) by spatially aggregating draws, and we investigated the drivers of subnational patterns by creating aggregated risk factor estimates.Findings The greatest declines in diarrhoeal mortality were seen in south and southeast Asia and South America, where 54•0% (95% uncertainty interval [UI] 38•1-65•8), 17•4% (7•7-28•4), and 59•5% (34•2-86•9) of units, respectively, recorded decreases in deaths from diarrhoea greater than 10%. Although children in much of Africa remain at high risk of death due to diarrhoea, regions with the most deaths were outside Africa, with the highest mortality units located in Pakistan. Indonesia showed the greatest within-country geographical inequality; some regions had mortality rates nearly four times the average country rate. Reductions in mortality were correlated to improvements in water, sanitation, and hygiene (WASH) or reductions in child growth failure (CGF). Similarly, most high-risk areas had poor WASH, high CGF, or low oral rehydration therapy coverage.Interpretation By co-analysing geospatial trends in diarrhoeal burden and its key risk factors, we could assess candidate drivers of subnational death reduction. Further, by doing a counterfactual analysis of the remaining disease burden using key risk factors, we identified potential intervention strategies for vulnerable populations. In view of the demands for limited resources in LMICs, accurately quantifying the burden of diarrhoea and its drivers is important for precision public health.Funding Bill & Melinda Gates Foundation.

BackgroundPerformance-based financing (PBF) has been implemented in a number of countries with the aim of transforming health systems and improving maternal and child health. This paper examines the effect of PBF on health workers’ job satisfaction, motivation, and attrition in Zambia. It uses a randomized intervention/control design to evaluate before–after changes for three groups: intervention (PBF) group, control 1 (C1; enhanced financing) group, and control 2 (C2; pure control) group.MethodsMixed methods are employed. The quantitative portion comprises of a baseline and an endline survey. The survey and sampling scheme were designed to allow for a rigorous impact evaluation of PBF or C1 on several key performance indicators. The qualitative portion seeks to explain the pathways underlying the observed differences through interviews conducted at the beginning and at the three-year mark of the PBF program.ResultsEconometric analysis shows that PBF led to increased job satisfaction and decreased attrition on a subset of measures, with little effect on motivation. The C1 group also experienced some positive effects on job satisfaction. The null results of the quantitative assessment of motivation cohere with those of the qualitative assessment, which revealed that workers remain motivated by their dedication to the profession and to provide health care to the community rather than by financial incentives. The qualitative evidence also provides two explanations for higher overall job satisfaction in the C1 than in the PBF group: better working conditions and more effective supervision from the District Medical Office. The PBF group had higher satisfaction with compensation than both control groups because they have higher compensation and financial autonomy, which was intended to be part of the PBF intervention. While PBF could not address all the reasons for attrition, it did lower turnover because those health centers were staffed with qualified personnel and the personnel had role clarity.ConclusionsIn Zambia, the implementation of PBF schemes brought about a significant increase in job satisfaction and a decrease in attrition, but had no significant effect on motivation. Enhanced health financing also increased stated job satisfaction.Electronic supplementary materialThe online version of this article (doi:10.1186/s12960-017-0179-2) contains supplementary material, which is available to authorized users.

ObjectiveTo evaluate the cost–effectiveness of results-based financing and input-based financing to increase use and quality of maternal and child health services in rural areas of Zambia.MethodsIn a cluster-randomized trial from April 2012 to June 2014, 30 districts were allocated to three groups: results-based financing (increased funding tied to performance on pre-agreed indicators), input-based financing (increased funding not tied to performance) or control (no additional funding), serving populations of 1.33, 1.26 and 1.40 million people, respectively. We assessed incremental financial costs for programme implementation and verification, consumables and supervision. We evaluated coverage and quality effectiveness of maternal and child health services before and after the trial, using data from household and facility surveys, and converted these to quality-adjusted life years (QALYs) gained.FindingsCoverage and quality of care increased significantly more in results-based financing than control districts: difference in differences for coverage were 12.8% for institutional deliveries, 8.2% postnatal care, 19.5% injectable contraceptives, 3.0% intermittent preventive treatment in pregnancy and 6.1% to 29.4% vaccinations. In input-based financing districts, coverage increased significantly more versus the control for institutional deliveries (17.5%) and postnatal care (13.2%). Compared with control districts, 641 more lives were saved (lower–upper bounds: 580–700) in results-based financing districts and 362 lives (lower–upper bounds: 293–430) in input-based financing districts. The corresponding incremental cost–effectiveness ratios were 809 United States dollars (US$) and US$ 413 per QALY gained, respectively.ConclusionCompared with the control, both results-based financing and input-based financing were cost–effective in Zambia.

Total and unit costs, and government's contribution, were considerably higher than previous Zambian estimates and international benchmarks. These findings have substantial implications for planners, efficiency improvement and sustainable financing, particularly as new vaccines are introduced. Variations in immunisation costs at facility level warrant further statistical analyses.

Zambia introduced a sector-wide approach (SWAp) in the health sector in 1993. The goal was to improve efficiency in the use of domestic funds and externally sourced development assistance by integrating these into a joint sectoral framework. Over a decade into its existence, however, the SWAp remains largely unevaluated. This study explores whether the envisaged improvements have been achieved by studying developments in administrative, technical and allocative efficiency in the Zambian health sector from 1990-2006. A case study was conducted using interviews and analysis of secondary data. Respondents represented a cross-section of stakeholders in the Zambian health sector. Secondary data from 1990-2006 were collected for six indicators related to administrative, technical and allocative efficiency. The results showed small improvements in administrative efficiency. Transaction costs still appeared to be high despite the introduction of the SWAp. Indicators for technical efficiency showed a drop in hospital bed utilization rates and government share of funding for drugs. As for allocative efficiency, budget execution did not improve with the SWAp, although there were large variations between both donors and year. Funding levels had apparently improved at district level but declined for hospitals. Finally, the SWAp had not succeeded in bringing all external assistance together under a common framework. Despite strong commitment to implement the SWAp in Zambia, the envisaged efficiency improvements do not seem to have been attained. Possible explanations could be that the SWAp has not been fully developed or that not all parties have completely embraced it. SWAp is not ruled out as a coordination model, but the current setup in Zambia has not proved to be fully effective.

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