This booklet is based on the Estimates and Projections of Family Planning Indicators 2019, which includes estimates at the global, regional and country level of contraceptive prevalence, unmet need for family planning and SDG indicator 3.7.1 "Proportion of women who have their need for family planning satisfied by modern methods".
The striking upsurge in population growth rates in developing countries at the close of World War II gained force during the next decade. From the 1950s to the 1970s, scholars and advocacy groups publicized the trend and drew troubling conclusions about its economic and ecological implications. Private educational and philanthropic organizations, government, and international organizations joined in the struggle to reduce fertility. Three decades later this movement has seen changes beyond anyone's most optimistic dreams, and global demographic stabilization is expected in this century. The Global Family Planning Revolution preserves the remarkable record of this success. Its editors and authors offer more than a historical record. They disccuss important lessons for current and future initiatives of the international community. Some programs succeeded while others initially failed, and the analyses provide valuable guidance for emerging health-related policy objectives and responses to global challenges.
Based on careful analysis of burden of disease and the costs ofinterventions, this second edition of 'Disease Control Priorities in Developing Countries, 2nd edition' highlights achievable priorities; measures progresstoward providing efficient, equitable care; promotes cost-effectiveinterventions to targeted populations; and encourages integrated effortsto optimize health. Nearly 500 experts - scientists, epidemiologists, health economists,academicians, and public health practitioners - from around the worldcontributed to the data sources and methodologies, and identifiedchallenges and priorities, resulting in this integrated, comprehensivereference volume on the state of health in developing countries.
to establish impact, attributing observed changes in welfare to the intervention, while identifying key factors of success. Impact evaluations are aimed at providing feedback to help improve the design of programs and policies. They also provide greater accountability and a tool for dynamic learning, allowing policymakers to improve ongoing programs and ultimately better allocate funds across programs. Such a causal analysis is essential for understanding the relative role of alternative interventions in reducing poverty. The papers in this section again adopt a variety of techniques. The rst two impact evaluation studies employ propensity score matching to establish, ex-post, a valid control group to assess the impact on child schooling outcomes among b- e ciaries of various interventions in Kenya and Ethiopia. The third chapter c- ries out an ex-ante evaluation of alternative cash transfer programs on child school attendance in Uruguay. The nal paper further carries out in-depth macro-modeling and micro-regression analysis to simulate the impacts of the food crisis and various policy responses, including food subsidies and cash transfers, on various dimensions of child poverty in Mali. Though using different approaches, the studies are gen- ally in agreement concerning the positive impact of the cash transfer program on child schooling and labor market outcomes. The studies from Kenya and Uruguay both nd that the schooling interventions are progressive.
The evaluation of reproductive, maternal, newborn, and child health (RMNCH) by the Disease Control Priorities, Third Edition (DCP3) focuses on maternal conditions, childhood illness, and malnutrition. Specifically, the chapters address acute illness and undernutrition in children, principally under age 5. It also covers maternal mortality, morbidity, stillbirth, and influences to pregnancy and pre-pregnancy. Volume 3 focuses on developments since the publication of DCP2 and will also include the transition to older childhood, in particular, the overlap and commonality with the child development volume. The DCP3 evaluation of these conditions produced three key findings: 1. There is significant difficulty in measuring the burden of key conditions such as unintended pregnancy, unsafe abortion, nonsexually transmitted infections, infertility, and violence against women. 2. Investments in the continuum of care can have significant returns for improved and equitable access, health, poverty, and health systems. 3. There is a large difference in how RMNCH conditions affect different income groups; investments in RMNCH can lessen the disparity in terms of both health and financial risk.
The main contents are key findings and messages regarding the relationship between contraceptive use and fertility, for 195 countries or areas of the world. These highlights will draw mainly from World Population Prospects 2019, and model-based estimates and projections of family planning indicators 2019. Policy-related implications of and responses to trends in family planning and fertility will be integrated throughout the text. In particular, these issues are of relevance for contextualizing Sustainable Development Goals 3.7.1. and 3.7.2. and the achievement of the 2030 Agenda.
Over the past twenty years, many low- and middle-income countries have experimented with health insurance options. While their plans have varied widely in scale and ambition, their goals are the same: to make health services more affordable through the use of public subsidies while also moving care providers partially or fully into competitive markets. Colombia embarked in 1993 on a fifteen-year effort to cover its entire population with insurance, in combination with greater freedom to choose among providers. A decade later Mexico followed suit with a program tailored to its federal system. Several African nations have introduced new programs in the past decade, and many are testing options for reform. For the past twenty years, Eastern Europe has been shifting from government-run care to insurance-based competitive systems, and both China and India have experimental programs to expand coverage. These nations are betting that insurance-based health care financing can increase the accessibility of services, increase providers' productivity, and change the population's health care use patterns, mirroring the development of health systems in most OECD countries. Until now, however, we have known little about the actual effects of these dramatic policy changes. Understanding the impact of health insurance–based care is key to the public policy debate of whether to extend insurance to low-income populations—and if so, how to do it—or to serve them through other means. Using recent household data, this book presents evidence of the impact of insurance programs in China, Colombia, Costa Rica, Ghana, Indonesia, Namibia, and Peru. The contributors also discuss potential design improvements that could increase impact. They provide innovative insights on improving the evaluation of health insurance reforms and on building a robust knowledge base to guide policy as other countries tackle the health insurance challenge.