Timely, high-quality measurements of intervention coverage-the proportion of a population in need of a health intervention that actually

receives it-are essential to support sound decisions about progress and investments in women’s and children’s health. The PLOS Medicine “Measuring Coverage in MNCH” Collection of research studies and reviews presents systematic assessments of the validity of health intervention coverage measurement based on household surveys, the primary method for estimating population-level intervention coverage in low- and middle-income countries. In this overview of the Collection, we discuss how and why some of the indicators 3-MA price now being used to track intervention coverage may not provide fully reliable coverage measurements, and how a better understanding of the systematic and random error inherent in these coverage indicators can help in their interpretation and use. We draw together strategies proposed across the Collection for improving coverage measurement, and recommend continued support for high-quality household surveys at national and sub-national levels, supplemented by surveys with lighter tools that can be implemented every 1-2 years and by complementary health-facility-based

assessments of service quality. Finally, we stress the importance of learning more about coverage measurement to strengthen the foundation for assessing and improving the progress of maternal, newborn, and child health programs.”
“The history of child fatality review (CFR) begins with the work of Ambrose Tardieu in 1860. More than a century later, in 1978, Quisinostat price the first team was established in Los Angeles, California. This article reviews the https://www.selleckchem.com/products/azd-1208.html history of CFR, the composition of teams, and its

purpose based in preventive public health. The successes of three decades and challenges for the future of CFR are discussed.”
“Soft set theory was originally proposed by Molodtsov as a general mathematical tool for dealing with uncertainty in 1999. Recently, researches of decision making based on soft sets have got some progress, but few people consider multi-experts situation. As such, this paper discusses multi-experts group decision making problems. Firstly, we give a concept of intuitionistic fuzzy soft matrix (IFSM) and prove some relevant properties of IFSM. Then, an adjustable approach is presented by means of median level soft set and p-quantile level soft set for dealing with decision making problems based on IFSM. Thirdly, we study aggregation methods of IFSM, give two kinds of aggregation operators and methods that how to determine experts’ weights under different situation with programming models, four corresponding algorithms have been proposed, too. Finally, a practical example has been demonstrated the reasonability and efficiency of these new algorithms. (C) 2013 Elsevier Inc. All rights reserved.