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Publication Years
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2068
240
5
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Category
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138
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7
Toolboxes
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Annual Household Survey 2015/16 is the forth survey of its kind. These annual surveys are conducted to provide estimations of some major socio-econ
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omic indicators on annual basis which would not be possible with other periodic surveys like Nepal Labour Force Surveys (NLSS) and Nepal Living Standard Surveys (NLSS) which are undertaken at longer intervals. The survey basically aims to provide estimates of consumption by sex, urban-rural area and by consumption quintiles/deciles. Although the major thrust of Annual Household Survey is on consumption and employment situations, other sectors like education, housing and housing facilities and demographic characteristics are also included. As this year NLSS survey is conducted so, this survey does not contain information on employment situation as in previous annual household surveys.
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This field study to measure access to and use of medicines was undertaken in GHANA in May-June 2008. The study assessed information on the socio-economic level of households, and access to and use of medicines for acute and chronic conditions as well as opinions and perceptio
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ns about medicines. The survey was conducted in six regions. In each region, six reference public heath care facilities were selected among those participating in the Level II Facility Survey that was carried out in parallel. Within defined distances from each reference public health care facility, households were selected by purposive cluster sampling. A total of 1065 household respondents were interviewed by means of a structured paper questionnaire
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This report presents the findings of the Estimating the Size of Populations through a Household Survey (ESPHS) study that took place in 2011. The study utilized a single
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household survey to estimate the size of several key populations, including sex workers, men who have sex with men (MSM), injecting drug users (IDU), and clients of sex workers. These populations include several groups outlined in the National Strategic Plan for HIV and AIDS as most at risk for HIV infection, specifically sex workers and MSM.
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Undernutrition in Myanmar. Part 2: A Secondary Analysis of LIFT 2013 Household Survey Data
Zaw Win; Cashin, Jennifer
Leveraging Essential Nutrition Actions to Reduce Malnutrition (LEARN)
(2016)
C1
In order to better understand the contributing factors of undernutrition in LIFT program areas and the links between child nutritional status and independent variables of programmatic importance to LIFT (such as income, livelihoods, food security, and water, sanitation and hygiene [WASH]), LEARN com
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missioned a secondary analysis of nutrition-related data from the 2013 LIFT Household Survey. The purpose of this report is to present the findings of this analysis.
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Global Health Science and Practice February 2022, https://doi.org/10.9745/GHSP-D-21-00237
Key Findings: Exposure to vaccination information from faith leaders and health facilities was associated with increased likelihood of vaccination uptake. The significant association between exposure to a
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greater number of immunization information sources and increased likelihood of vaccination uptake reinforces the need for multiple sources to provide consistent and accurate immunization information to facilitate positive vaccination behavior.
Key Implications: Social and behavior change communication interventions may optimize the promotion of immunization services through multiple information sources such as health facilities and community-based assets including faith leaders and lay community health workers. Religion and faith play an important role in how people understand health and make health decisions. In Sierra Leone and other similar settings, interventions to improve uptake of immunization services may be enhanced by proactively engaging faith leaders.
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This report provides an update on the level of poverty based on 2013/14 Integrated Household Living Conditions Survey (EICV4) focusing on poverty as measured in consumption terms. The report also hi
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ghlights other trend dimensions of living conditions captured in other surveys that complement and provide a holistic understanding of poverty and living conditions.
Rwanda’s economy has been growing steadily at about 8% since 2001 with GDP per capita more than tripling from US$ 211 in 2001 to US$ 718 in 2014. Food crop production growth was more than twice that of population growth between 2007 and 2014.
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The 2013 RMIS is a nationally representative, household-based survey that provides data on malaria indicators, which are used to assess the progress of a malaria control program. The primary objecti
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ve of the 2013 Rwanda Malaria Indicator Survey (2013 RMIS) was to provide up-to date information on the prevention of malaria to policymakers, planners, and researchers.
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According to the 2016 Nepal Demographic and Health Survey, 66% of Nepali households use mainly solid fuel for cooking on inefficient stoves. Incomplete fuel combustion of solid fuels emits greenhouse gases and harmful smoke, contributing to climate
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change, forest degradation, ill health and preventable deaths. Further, the physical burden and time necessary to collect wood for fuel is borne primarily by women and children, thus compromising their productive time, such as social activities and education.
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The government of Rwanda conducted the 2010 Rwanda Demographic and Health Survey (RDHS) to gather up-to-date information for monitoring progress on healthcare programs and policies in Rwanda, including the Economic Development and Poverty Reduction
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Strategy (EDPRS), the Millennium Development Goals (MDGs),
and Vision 2020. The 2010 RDHS is a follow-up to the 1992, 2000, 2005, and 2007-08 RDHS surveys. Each survey provides data on background characteristics of the respondents, demographic and health indicators, household health expenditures, and domestic violence. The target groups in these surveys were women age 15-49 and men age 15-59
who were randomly selected from households across the country. Information about children age 5 and under also was collected, including the weight and height of the children.
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The 2018 NDHS is a national sample survey that provides up-to-date information on demographic and health indicators. The sample was selected using a stratified, two-stage cluster design, with enumeration areas (EAs) as the sampling units for the fir
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st stage. The second stage was a complete listing of households carried out in each of the 1,400 selected EAs. The target groups were women age 15-49 and men age 15-59
in randomly selected households across Nigeria. A representative sample of approximately 42,000 households was selected for the survey. One-third of the households (14,000) were selected for malaria, anaemia, and genotype testing of children age 6-59 months. Also, in the subsample of households selected
for the men’s survey, one eligible woman in each household was randomly selected for additional questions regarding domestic violence. Specifically, information was collected on fertility levels, marriage, fertility preferences, awareness and use of family planning methods, child feeding practices, nutritional status of women and children, adult and childhood mortality, awareness and attitudes regarding
HIV/AIDS, and female genital mutilation. The survey also assessed the nutritional status (according to weight and height measurements) of women and children in these households. In addition to presenting national estimates, the report provides estimates of key indicators for both rural and urban areas, the country’s six geopolitical zones and 36 states, and the Federal Capital Territory (FCT).
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The 2019 SLDHS is a national sample survey that provides up-to-date information on demographic and health indicators. The sample was selected using a stratified, two-stage cluster design, with enumeration areas (EAs) as the sampling units for the fi
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rst stage. The second stage was a complete listing of households carried out in each of the 578 selected EAs. The target groups were women age 15-49 and men age 15-59 in
randomly selected households across the country. A representative sample of approximately 13,872 households was selected for the survey. Half of the households (6,936) were selected for biomarker and men’s interview. The men’s survey was conducted in half (50%) of the sample households, and all men age 15-59 in these households were included. In this subsample, one eligible woman in each household was randomly selected to be asked additional questions about domestic violence.
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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 import
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ant development outcomes: education, health, and nutrition. 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.
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DHS Further Analysis Reports No. 108 - This report examines levels, trends, and inequalities in maternal health in Rwanda from 2010 to 2014-15 among women age 15-49 with a recent birth. The analysis uses Demographic and Health Survey (DHS) data for
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15 key indicators of maternal health: 6 for antenatal care, 3 for delivery, 1 for postnatal care, and 5 for barriers to accessing medical care. Levels and trends in these indicators were analyzed overall and by three background characteristics: women’s education, household wealth quintile, and region.
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20 YEARS OF STRATEGIC HIV AND PUBLIC HEALTH DATA . beThe completion of the 6th South African National HIV Prevalence, Incidence and Behaviour Survey (SABSSM) report, coincides with the celebration of 30 years of democracy in South Africa; and marks
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20 years of conducting nationally representative household-based surveys by the Human Sciences Research Council (HSRC), its collaborators and donors. Since its inception in 2002, the SABSSM series has emerged as one of the HSRC’s leading scientific contributions to the country’s HIV and AIDS response (1), providing essential data to monitor the HIV epidemic, the impact of the HIV program in South Africa, and to inform strategies for epidemic control in the National Strategic Plan for HIV, TB and STIs (NSP), now in its fifth edition. Using scientific evidence from SABSSM and other key sources, the NSP guides the country’s response, under the leadership of the South African AIDS Council (SANAC) and the National Department of Health (NDoH), with focus on equitable access to biomedical interventions, addressing the structural and social behavioural drivers of the epidemic, and targeting populations disproportionately affected by HIV; such as, black Africans, key populations and adolescent girls and young women (AGYW) aged 15–24 years (2).
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DHS Further Analysis Reports No. 109 - This report documents trends in key child nutrition indicators in Rwanda. Data from the Demographic and Health Surveys (DHS) in 2005, 2010, and 2014-15 were analyzed, disaggregated by selected equity-related variables, and tested for trends. Over the
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survey period, Rwanda had high rates of exclusive breastfeeding, with regional variation. Rates of continued breastfeeding were also high but generally decreased as mother’s education and household wealth increased in all survey years. Complementary feeding practices varied by region, mother’s education, household wealth, urban-rural residence, and sex of the child.
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The Fifth Integrated Household Living Survey (EICV5) was conducted from October 2016 to October 2017, and is designed to provide accurate and up-to-date information that are useful to government, an
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alysts and the public as they seek to monitor and evaluate efforts to reduce poverty.
This report presents and discusses key results from the EICV5 in the areas of demographic characteristics, migration, health, education, the characteristics of households and dwellings in Rwanda, economic activity patterns, environmental issues and households' access to credits and savings.
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East and West Hararghe zones are located within Oromia region, one of the largest and most populated regions of Ethiopia. Like many parts of Oromia and the country, over 80% of the people in East and West Hararghe rely on agricultural livelihoods. This baseline
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survey target districts are Babile, and Kersa in East Hararghe, and Mieso woreda in West Hararghe zone. Babile woreda has a population of 117,682 residing in 22 kebeles. The woreda hosts 14, 545 displaced households from neighboring region Somali. Kersa woreda bordered on the south by Bedeno, on the west by Meta, on the north by Dire Dawa, on the northeast by Haro Maya, and on the southeast by Kurfa Chele. The woreda has a population of 243,544 peoples residing in 38 kebeles and it has hosted 874 household IDPs displaced from Somali region. Mieso woreda is bordered on the south by Guba Koricha, on the west by the Afar Region, on the north by the Somali Region, on the east by Doba and on the southeast by Chiro. It has a total population of 130,709.
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This is a report from a National, representative household survey carried out in Swaziland in 2009 – 2010. A large amount of effort has been put into this two‐year exercise until finally we can
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present the results of the combined efforts. First of all, this is a credit to the Federation of Disabled People in Swaziland (FODSWA): To the Management Committee headed by Ms. Buyie Masuku for being in control of the whole process, and to the Project Co‐ordinator Mr. Bhekie Jele who for the most of the study handled all aspects in this comprehensive and complex process. Mr Yusman B Kamaleri from SINTEF played an important role in supporting FODSWA during the implementation of the study.
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