PLoS medicine
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Review Comparative Study
Measuring coverage in MNCH: tracking progress in health for women and children using DHS and MICS household surveys.
Household surveys are the primary data source of coverage indicators for children and women for most developing countries. Most of this information is generated by two global household survey programmes-the USAID-supported Demographic and Health Surveys (DHS) and the UNICEF-supported Multiple Indicator Cluster Surveys (MICS). In this review, we provide an overview of these two programmes, which cover a wide range of child and maternal health topics and provide estimates of many Millennium Development Goal indicators, as well as estimates of the indicators for the Countdown to 2015 initiative and the Commission on Information and Accountability for Women's and Children's Health. ⋯ These differences need to be considered when comparing estimates of reproductive, maternal, newborn, and child health indicators across countries and over time and we discuss the implications of these differences for coverage measurement. Finally, we discuss the need for survey planners and consumers of survey results to understand the strengths, limitations, and constraints of coverage measurements generated through household surveys, and address some technical issues surrounding sampling and quality control. We conclude that, although much effort has been made to improve coverage measurement in household surveys, continuing efforts are needed, including further research to improve and refine survey methods and analytical techniques.
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Randomized Controlled Trial Multicenter Study
Effect of Facilitation of Local Maternal-and-Newborn Stakeholder Groups on Neonatal Mortality: Cluster-Randomized Controlled Trial.
Facilitation of local women's groups may reportedly reduce neonatal mortality. It is not known whether facilitation of groups composed of local health care staff and politicians can improve perinatal outcomes. We hypothesised that facilitation of local stakeholder groups would reduce neonatal mortality (primary outcome) and improve maternal, delivery, and newborn care indicators (secondary outcomes) in Quang Ninh province, Vietnam. ⋯ A randomized facilitation intervention with local stakeholder groups composed of primary care staff and local politicians working for three years with a perinatal problem-solving approach resulted in increased attendance to antenatal care and reduced neonatal mortality after a latent period.
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Multicenter Study
Measuring coverage in MNCH: accuracy of measuring diagnosis and treatment of childhood malaria from household surveys in Zambia.
To assess progress in the scale-up of rapid diagnostic tests and artemisinin-based combination therapies (ACTs) across Africa, malaria control programs have increasingly relied on standardized national household surveys to determine the proportion of children with a fever in the past 2 wk who received an effective antimalarial within 1-2 d of the onset of fever. Here, the validity of caregiver recall for measuring the primary coverage indicators for malaria diagnosis and treatment of children <5 y old is assessed. ⋯ Based on these findings, results from household surveys should continue to be used for ascertaining the coverage of children with a fever in the past 2 wk that received an ACT. However, as recall of a malaria diagnosis remains suboptimal, its use in defining malaria treatment coverage is not recommended.
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To monitor progress towards the Millennium Development Goals, it is essential to monitor the coverage of health interventions in subgroups of the population, because national averages can hide important inequalities. In this review, we provide a practical guide to measuring and interpreting inequalities based on surveys carried out in low- and middle-income countries, with a focus on the health of mothers and children. Relevant stratification variables include urban/rural residence, geographic region, and educational level, but breakdowns by wealth status are increasingly popular. ⋯ The measurement of intervention coverage can be made by single indicators, but the use of combined measures has important advantages, and we advocate two summary measures (the composite coverage index and the co-coverage indicator) for the study of time trends and for cross-country comparisons. We highlight the need for inequality measures that take the whole socioeconomic distribution into account, such as the relative concentration index and the slope index of inequality, although simpler measures such as the ratio and difference between the richest and poorest groups may also be presented for non-technical audiences. Finally, we present a framework for the analysis of time trends in inequalities, arguing that it is essential to study both absolute and relative indicators, and we provide guidance to the joint interpretation of these results.