BackgroundMost low- and middle-income countries lack fully functional civil registration systems. Measures of under-five mortality are typically derived from periodic household surveys collecting detailed information from women on births and child deaths. However, such surveys are expensive and are not appropriate for monitoring short-term changes in child mortality. We explored and tested the validity of two new analysis methods for less-expensive summary histories of births and child deaths for such monitoring in five African countries.Methods and FindingsThe first method we explored uses individual-level survey data on births and child deaths to impute full birth histories from an earlier survey onto summary histories from a more recent survey. The second method uses cohort changes between two surveys in the average number of children born and the number of children dead by single year of age to estimate under-five mortality for the inter-survey period. The first method produces acceptable annual estimates of under-five mortality for two out of six applications to available data sets; the second method produced an acceptable estimate in only one of five applications, though none of the applications used ideal data sets.ConclusionsThe methods we tested were not able to produce consistently good quality estimates of annual under-five mortality from summary birth history data. The key problem we identified was not with the methods themselves, but with the underlying quality of the summary birth histories. If summary birth histories are to be included in general household surveys, considerable emphasis must be placed on quality control.

Despite recent progress, Sierra Leone’s lifetime risk of maternal death remains high (1 in 21), as does neonatal mortality (35 per 1000 live births). We present findings on maternal and neonatal care practices from a mixed methods study conducted in four districts during July–August 2012. We conducted a household cluster survey with data on maternal and newborn care practices collected from women ages 15–49 years who had ever given birth. We also conducted focus group discussions and in-depth interviews in two communities in each of the four districts. Participants included pregnant women, mothers of young children, older caregivers, fathers, community health volunteers, traditional birth attendants (TBAs) and health workers. We explored personal experiences and understandings of pregnancy, childbirth, the newborn period and social norms. Data analysis was conducted using STATA (quantitative) and thematic analysis using Dedoose software (qualitative). Antenatal care was high (84.2%, 95% CI: 82.0–86.3%), but not timely due to distance, transport, and social norms to delay care-seeking until a pregnancy is visible, particularly in the poorer districts of Kambia and Pujehun. Skilled delivery rates were lower (68.9%, 95% CI: 64.8–72.9%), particularly in Kambia and Tonkolili where TBAs are considered effective. Clean cord care, delaying first baths and immediate breastfeeding were inadequate across all districts. Timely postnatal checks were common among women with facility deliveries (94.1%, 95% CI: 91.9–96.6%) and their newborns (94.5%, 95% CI: 92.5–96.5%). Fewer women with home births received postnatal checks (53.6%, 95% CI: 46.2–61.3%) as did their newborns (75.8%, 95% CI: 68.9–82.8%). TBAs and practitioners are well-respected providers, and traditional beliefs impact many behaviours. Challenges remain with respect to maternal and neonatal health in Sierra Leone; these were likely exacerbated by service interruptions during the 2014–2016 Ebola Virus Disease epidemic. The reasons behind existing practices must be examined to identify appropriate strategies to improve maternal and newborn survival.

The US public and private sectors now spend more than $3 trillion on health each year. While critical studies have examined the relationship between public spending on health and health outcomes, relatively little is known about the impact of broader public-sector spending on health. Using county-level public finance data for the period 1972-2012, we estimated the impact of local public hospital spending and nonhospital health spending on all-cause mortality in the county. Overall, a 10 percent increase in nonhospital health spending was associated with a 0.006 percent decrease in all-cause mortality one year after the initial spending. This effect was larger and significant in counties with greater proportions of racial/ethnic minorities. Our results indicate that county nonhospital health spending has health benefits that can help reduce costs and improve health outcomes in localities across the nation, though greater focus on population-oriented services may be warranted.

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