This report is from the National study on living conditions among people
with disabilities carried out in Nepal in 2014-2015. The study was carried
out as a household survey with two-stage stratified sampling, including a screening/listing procedure using the Washington Group on Disability
Statis...tics 6 questions, one Household questionnaire administered to
households with (Case HHs) and without disabled members (Control
HHs), one Individual Case questionnaire administered to individuals who were found to qualify as being disabled in the screening (Case
individuals), and an Individual Control questionnaire administered to
matched non-disabled individuals in the Control HHs (Control individuals). The study covers a range of indicators on level of living, such as socioeconomic indicators, economic activity, income, ownership and infrastructure, health (including reproductive health), access to health information, access to services, education, access to information, social participation, and exposure to discrimination and abuse (see all
questionnaires in Appendix).
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Haïti: DHS 2016-2017 - Key Indicators Report (French)
Further analysis of the 2011 Nepal Demographic and Health Survey
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.
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DHS Working Papers No. 111 | Zimbabwe Working Papers No. 12
The survey is representative of the Union Territory, its states and regions and urban and rural areas. It was conducted in all the districts and in 296 of the 330 townships of Myanmar. A total of 13,730 households were interviewed. It collects data on the occupations of people, how much income they ...earn, and how they use this to meet the food, housing, health, education and other needs of their families. The main focus of the survey is to produce estimates of poverty and living conditions, to provide core data inputs into the System of National Accounts and the Consumer Price Index and to support monitoring of the Sustainable Development Goals.
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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.
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DHS Further Analysis Reports No. 88 - This further analysis examines levels, trends, and determinants of neonatal mortality in Rwanda, using data from the 2000, 2005, and 2010 Rwanda Demographic and Health Surveys (RDHS).
Massoda Tonye et al. Malar J (2018) 17:156
https://doi.org/10.1186/s12936-018-2284-7
Background: In 2011, the demographic and health survey (DHS) in Cameroon was combined with the multiple indicator
cluster survey. Malaria parasitological data were collected, but the survey period did not overl...ap with the high
malaria transmission season. A malaria indicator survey (MIS) was also conducted during the same year, within the
malaria peak transmission season. This study compares estimates of the geographical distribution of malaria parasite
risk and of the effects of interventions obtained from the DHS and MIS survey data.
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The World Health Organization and the Global Fund to Fight AIDS, Tuberculosis and Malaria are part of a group of agencies working together to accelerate progress towards the health-related SDGs through the Global Action Plan for Healthy Lives and Well-being for All. Understanding patterns of inequal...ities in these diseases is essential for taking strategic, evidence-informed action to realize our shared vision of ending the epidemics of HIV, TB and malaria.
This report presents the first comprehensive analysis of the magnitude and patterns of socioeconomic, demographic and geographic inequalities in disease burden and access to services for prevention and treatment.
The results confirm there have been improvements in service coverage and decreased disease burden at the national level over the past decade. But they also reveal an uncomfortable reality: unfair inequalities between population subgroups within countries are widespread and have remained largely unchanged over the past decade. For some disease indicators, inequalities are even worsening.
Moreover, the report points to the persistent lack of available data to fully understand inequality patterns in HIV, TB and malaria. Collecting data to improve the monitoring of inequalities in these diseases is vital to develop targeted responses for impact.
There are, encouragingly, isolated successes in reducing inequities. Change is possible when deliberate action is taken to reach disadvantaged populations.
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The Statistical Yearbook for Latin America and the Caribbean of ECLAC presents a set of basic statistics on the economic, sociodemographic and environmental situation of the region during a specific time period.
Needs assessment and analysis
Collect and analyze sex, age and disability disaggregated data (SADDD) and conduct a participatory gender analysis to understand different health needs, capacities, barriers and aspirations and identify populations with special health requirements
Population demogra...phics. E.g. pregnant and lactating women, infants, elderly, unaccompanied children, persons with disabilities, chronically ill persons 9 Gender roles and power dynamics. E.g. ability of women, girls, men and boys to make health decisions and access services; roles and responsibility of household members in health.
Gender and cultural norms and practices. E.g. preference for mixed/segregated facilities and staff; socio-cultural and religious taboos and beliefs around health, practices and beliefs on menstruation, practices and expectations on pregnancy, childbirth and breastfeeding; traditional health care providers
Intersectional issues. E.g. access to health care for LGBTIQ persons, for GBV survivors, for adolescent girls and boys
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The World Heart Federation (WHF) Roadmap series covers a large range of cardiovascular conditions. These Roadmaps identify potential roadblocks and their solutions to improve the prevention, detection and management of cardiovascular diseases and provide a generic global framework available for loca...l adaptation. A first Roadmap on raised blood pressure was published in 2015. Since then, advances in hypertension have included the publication of new clinical guidelines (AHA/ACC; ESC; ESH/ISH); the launch of the WHO Global HEARTS Initiative in 2016 and the associated Resolve to Save Lives (RTSL) initiative in 2017; the inclusion of single-pill combinations on the WHO Essential
Medicines’ list as well as various advances in technology, in particular telemedicine and mobile health. Given the substantial benefit accrued from effective interventions in the management of hypertension and their potential for scalability in low and middle-income countries (LMICs), the WHF has now revisited and updated the ‘Roadmap for raised BP’ as ‘Roadmap for hypertension’
by incorporating new developments in science and policy. Even though cost-effective lifestyle and medical interventions to prevent and manage hypertension exist, uptake is still low, particularly in resource-poor areas. This Roadmap examined the roadblocks pertaining to both the demand side (demographic and socio-economic factors, knowledge and beliefs, social relations, norms, and
traditions) and the supply side (health systems resources and processes) along the patient pathway to propose a range of possible solutions to overcoming them. Those include the development of population-wide prevention and control programmes; the implementation of opportunistic screening and of out-of-office blood pressure measurements; the strengthening of primary care and a greater focus on task sharing and team-based care; the delivery of people-centred care and stronger patient and carer education; and the facilitation of adherence to treatment. All of the above are dependent upon the availability and effective distribution of good quality, evidencebased, inexpensive BP-lowering agents.
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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.
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