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DHS Working Papers No. 69
This paper uses data from the three Indian National Family Health Surveys (1992-93, 1998-99, 2005-06) to examine how the relationship between household wealth and child mortality evolved during a time of significant economic change in India. The main predictor is a new... measure of household wealth that captures changes in wealth over time. Outcomes include neonatal mortality, postneonatal mortality, child mortality, and under-five mortality. Multivariate analysis is conducted at the national, urban, rural, and regional levels.
Results indicate that the overall relationship between household wealth and mortality weakened over time, as evidenced by the coefficients for under-five mortality at the national level. more
This report outlines the results of a scientific study of the impacts of weather, climate variability, and climate change on health in Mozambique, with a focus on diarrheal disease and malaria.
DHS Further Analysis Reports No. 89 - The 2010 Rwanda Demographic and Health Survey shows that 3 percent of Rwandan adults age 15-49 have been infected with HIV. The prevalence was much higher in urban areas, among women, and among adults who had multiple lifetime sexual partners and used a condom a...t last sexual intercourse. The
level of and differences in HIV prevalence in Rwanda in 2010 are very similar to those observed in 2005. Using data from the two recent Rwanda Demographic and Health Surveys, implemented in 2005 and
2010, this study examined changes in key HIV-related knowledge, attitudes, and sexual behavior indicators. Significant changes in selected indicators during 2005 and 2010 were determined by Student ttest with p-values less than 0.05. more
DHS Further Analysis Reports No. 111
This study is a theory-driven analysis of the socio-demographic determinants of maternal care seeking in Kenya. Specifically, it examines predisposing, enabling, and need factors potentially associated with use of antenatal care (ANC), health facility delive...ry, and timely postnatal care (PNC).
This study uses data from the 2014 Kenya Demographic and Health Survey (KDHS) conducted among women age 15-49 with a live birth in the five years preceding the survey. It includes data from all 47 counties of Kenya, grouped contiguously into 12 regions. We apply Andersen’s Behavioral Model of Health Services Use to examine socio-demographic predictors of health service use. We estimate logistic regression models for adequate use of ANC (defined as attending at least four ANC visits, starting in the first three months of pregnancy), delivery in a health facility, and PNC within 48 hours of delivery.more
The 2014-2015 outbreak of Ebola virus disease (EVD) in Liberia resulted in over 10,000 cases and 5,000 deaths. Recognizing the importance of addressing children’s trauma, the Ebola recovery and restoration trust fund (EERTF) funded the implementation of a Comfort for kids (C4K) program which encou...rages psychological healing, and promotes resilience in children who have experienced a crisis or disaster. The C4K program in Liberia was implemented between January 2015 and December 2016 in fifteen townships in Montserrado County through a collaboration between Mercy Corps Liberia, the World Bank’s Liberian health task team, and the government of Liberia. C4K primarily centers on the My Story workbook and associated classroom activities, which provide children with the opportunity to express their emotions about their experiences through drawing, writing, and facilitated discussion. C4K also provides capacity building for parents, teachers, and other caretakers on how to identify and more effectively respond to children’s trauma responses and to support their recoverymore
This report presents further analysis of the 2015 Nepal Health Facility Survey. Data analysis is based on the Donabedian framework for assessing quality of care in health services, which divides the indicators into three groups: structure, process, and outcome. The World Health Organization Service ...Availability and Readiness Assessment (SARA) indicator guideline was used to assess facility service readiness, service quality and client satisfaction with maternal health services. The study performed both bivariate and multivariate regression analysis to examine the association of maternal health service readiness and quality indicators with client satisfaction.more
This study is a theory-driven analysis of the socio-demographic determinants of maternal care seeking in Kenya. Specifically, it examines predisposing, enabling, and need factors potentially associated with use of antenatal care (ANC), health facility delivery, and timely postnatal care (PNC).This s...tudy uses data from the 2014 Kenya Demographic and Health Survey (KDHS) conducted among women age 15-49 with a live birth in the five years preceding the survey. It includes data from all 47 counties of Kenya, grouped contiguously into 12regions.We apply Andersen’s Behavioral Model of Health Services Use to examine socio-demographic predictors of health service use.We estimate logistic regression models for adequate use of ANC (defined as attending at least four ANC visits, starting in the first three months of pregnancy), delivery in a health facility, and PNC within 48 hours of delivery.more
This report started with a simple question—“How can we tell how much funding is devoted to global health programs?”—and ended (more than two years later) with an answer that is far from simple. As those who have tried know well, tracking health-related funding is challenging in any setting, ...given the range of public and private sources and the many types of services and programs that fall within the definition of “health sector.” It is made all the more complicated when significant external support from donors and private charities plus in-kind donations of drugs and other inputs are taken into account. The task is made yet harder by inadequate public expenditure management systems in countries where public agencies’ capacity is stretched very thin and by donor accounting structures that are not designed to respond in a timely waymore
PEPFAR Malawi’s Country Operational Plan (COP) 2021 reflects a culmination of strong interagency collaboration between the PEPFAR Malawi team, Government of Malawi (GoM), and civil society organizations (CSOs) to mitigate the devastating impacts of COVID-19 and sustain progress achieved over the l...ast two decades towards HIV epidemic control.
At the conclusion of the March 2020 Johannesburg Regional Planning Meeting, the PEPFAR Malawi team presented a COP20 surge strategy to improve client-centered care, mitigate treatment disruption, scale prevention programs to key and vulnerable populations, and strengthen national health systems.
Following this meeting, the first three COVID-19 cases were reported in Malawi and immediately thereafter, adaptations to the COP20 strategy became imperative to deliver safe, client-centered care.more
The application of digital health technology is growing at a rapid rate in Africa, with the goals of improving the delivery of healthcare services and more effectively reaching out to remote and underserved communities. The lack of enabling guidelines and standards across the continent, on the other... hand, makes it difficult to share data in a meaningful way across the continent.
Considering this, Africa Centres for Disease Control and Prevention (Africa CDC) established a task force of 24 members to provide expertise and guidance in the development of AU HIE guidelines and standards. Members of the task force were subject matter experts working in Africa and internationally on the collection, analysis, and exchange of health information. Some of these experts had been involved in previous consultations on defining Africa CDC’s health information systems strategy. A chairperson, co-chairperson, and secretary were elected to engage the task force members in different technical working groups.more