DHS WORKING PAPERS 2016 No. 126 | DEMOGRAPHIC AND HEALTH SURVEYS
DHS Working Papers No. 123
DHS Working Papers No. 127
DHS Working Papers No. 110 | Zimbabwe Working Papers No. 11
To better adapt current case management practices and address excess mortality in otherwise treatable
cases will require better knowledge of the demographic characteristics of the patients and comorbidities
which can make severe dehydration harder to tolerate physiologically. With this in mind, a ...scoping review
was undertaken, to explore the literature and summarise the existing evidence on cholera mortality and
reported risk factors.
more
Open Journal of Epidemiology, 2018, 8, 226-241
Abstract
Introduction: Road traffic accidents (RTAs) are a major public health issue
in developing countries, where roads tend to be built haphazardly and accidents
take a heavy toll on victims—including leaving them disabled. This
study seeks ...to identify those factors that cause RTA victims to become disabled
as a result of their injuries. Methods: This retrospective community-
based study looked at RTA victims treated in five public and faith-based
hospitals in Benin. Disability was evaluated using the Washington Group on
Disabilities Statistics questionnaire. The independent variables were related to
the victim’s socio-demographic traits, the circumstances of the accident, and
post-crash response mechanisms. The proportions were compared using the
chi-squared test, with a threshold of 5%. Results: The prevalence of disability
among road traffic accident victims is 9.59% (CI 95%: 6.86% - 13.20%). The
occurrence of disability is associated with age (p = 0.002), occupational group
(p = 0.0077), the mode of transport used to transfer the victim (p < 0.001)
and the location of the injuries (p = 0.0035). The study also found that people
fail to make sufficient use of post-crash response mechanisms. Conclusion:
Public policy-makers should therefore focus on stepping up interventions to
get more people using both protective equipment and post-crash response services.
more
Non-communicable diseases (NCDs) are of increasing concern for society and national governments, as well as globally due to their high mortality rate. The main risk factors of NCDs can be classified into the categories of self-management, genetic factors, environmental factors, factors of medical co...nditions, and socio-demographic factors.
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
The STEPS survey of noncommunicable disease (NCD) risk factors in Zambia was carried out from July to September 2017. Zambia carried out Step 1, Step 2 and Step 3. Socio demographic and behavioural information was collected in Step 1. Physical measurements such as height, weight and blood pressure w...ere collected in Step 2. Biochemical measurements were collected to assess blood glucose and cholesterol levels in Step 3. The survey was a population-based survey of adults aged 18-69. A multi-stage cluster sample design was used to produce representative data for that age range in Zambia. A total of 4,302 adults participated in the survey. The overall response rate was 74% for Step 1 and 2 and 65% for Step 3. A repeat survey is planned for 2022 if funds permit.
more
We combine data on Chinese development projects with data from Demographic and Health Surveys to study the impact of Chinese aid on household welfare in sub-Saharan Africa. We use a novel methodology to test the effect of Chinese aid on three important development outcomes: education, health, and nu...trition. For each outcome, we use difference-in-difference estimations to compare household areas near Chinese project sites to control areas located farther away, before and after receiving Chinese aid. This empirical strategy rules out many confounding factors that can bias measuring the impact of Chinese aid on our outcome variables. First, we find that Chinese projects significantly improve education and child mortality in treatment areas, but do not significantly affect nutrition. Second, social sector projects have a larger effect on outcomes than economic projects. Third, we do not find significant effects for projects that ended more than five years before the post-treatment survey wave. Our results are robust to a host of robustness checks.
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
In low- and middle-income middle-income countries, reliable and disaggregated disability data on prevalence, participation and barriers are often unavailable. This study aimed to estimate disability prevalence, determine associated socio-demographic factors and compare access in the community betwee...n people with and without disability in Dehradun district of Uttarakhand, India, using the Rapid Assessment of Disability survey.
more
DHS Methodological Report No. 20
This study used Service Provision Assessment (SPA) and Demographic and Health Survey (DHS) data from Haiti, Malawi, and Tanzania to compare traditionally used additive methods with a data reduction method—principal component analysis (PCA).
We scored ...the quality of health facilities with three approaches (simple additive, weighted additive, and PCA) for two constructs: quality of services, with only facilities-level data, and quality of care, which incorporates observation and client data. We ranked facilities as high, medium, or low quality based on their scores. Our results indicated that the rankings change with the scoring methodology. There was more consistency in the rankings of facilities by the simple additive and PCA methods than the weighted additive and PCA-based rankings. This may be due to the low factor loadings and little variance explained by the first component in the PCA. We aggregated facility scores to their respective DHS clusters (Haiti, Malawi) or regions (Tanzania) and geographically linked them to women interviewed in DHS surveys to test associations between the use of family planning services and the quality environment, as measured with each index.
more
For the 24th consecutive year, PAHO has published the report Health Situation in the Americas: Core Indicators featuring the latest information on key indicators for the Region of the Americas. This 2018 edition includes data on the 82 core indicators for the countries, territories, and sub regions ...of the Americas, grouped into the following categories: demographic-socioeconomic, health status, risk factors, service coverage, and health systems. Information is also presented on 22 indicators of the Sustainable Development Goals (SDGs).
more
Current Environmental Health Reports volume 7, pages 363–370 (2020)
Climate change has direct impacts on human health, but those impacts vary widely by location. Local health impacts depend on a large number of factors including specific regional climate impacts, demographics and human vulnerabil...ities, and existing local adaptation capacity. There is a need to incorporate local data and concerns into climate adaptation plans and evaluate different approaches.
more
The escalation of the war in Ukraine began on 24 February 2022, causing thousands of civilian
casualties; destroying civilian infrastructure, including hospitals, and triggering the fastest-
growing displacement crisis in Europe since World War II. The demographic profile of Ukraine,
combined wit...h the implementation of martial law and conscription policies, led to an awareness
of gender- and age-related factors within the regional humanitarian response that recognised
the pre-crisis situation of persons of all genders and diversities and how the war and subsequent
regional crisis were compounding the risks that they face.
more
The United Nations Children's Fund (UNICEF), the International Organization for Migration (IOM), Georgetown University, and the United Nations University have today launched new guidelines to provide the first-ever global policy framework that will help protect, include, and empower children on the ...move in the context of climate change.
The Guiding Principles for Children on the Move in the Context of Climate Change provides a set of 9 principles that address the unique and layered vulnerabilities of children on the move both internally and across borders as a result of the adverse impacts of climate change. Currently, most child-related migration policies do not consider climate and environmental factors, while most climate change policies overlook the unique needs of children.
The guidelines note that climate change is intersecting with existing environmental, social, political, economic, and demographic conditions contributing to people’s decisions to move. In 2020 alone, nearly 10 million children were displaced in the aftermath of weather-related shocks. With around one billion children – nearly half of the world’s 2.2 billion children – living in 33 countries at high risk of the impacts of climate change, millions more children could be on the move in the coming years.
Developed in collaboration with young climate and migration activists, academics, experts, policymakers, practitioners, and UN agencies, the guiding principles are based on the globally ratified Convention on the Rights of the Child and are further informed by existing operational guidelines and frameworks.
Recommendations for safeguarding the rights and well-being of children regardless of their location or migration status.
The guiding principles provide national and local governments, international organizations and civil society groups with a foundation to build policies that protect children’s rights. The organizations and institutions are calling on governments, local and regional actors, international organizations, and civil society groups to embrace the guiding principles to help protect, include, and empower children on the move in the context of climate change.
more
Ade et al. BMC Health Services Research (2016) 16:5
Background: In the “Centre National Hospitalier de Pneumo-Phtisiologie” of Cotonou, Benin, little is known about
the characteristics of patients who have not attended their scheduled appointment, the results of tracing and the
possible b...enefits on improving treatment outcomes. This study aimed to determine the contribution of tracing
activities for those who missed scheduled appointments towards a successful treatment outcome.
Methods: A retrospective cohort study was carried out among all smear-positive pulmonary tuberculosis patients
treated between January and September 2013. Data on demographic and diagnostic characteristics and treatment
outcomes were accessed from tuberculosis registers and treatment cards. Information on those who missed their
scheduled appointments was collected from the tracing tuberculosis register. A univariate analysis was performed
to explore factors associated with missing a scheduled appointment
more