Lancet Glob Health 2015; 385: e387–95. Open Access
Barriers to the prompt and effective diagnosis and treatment of malaria exist at both the community and health facility level. Household surveys measure malaria case management at the population level with standard indicators that assess treatment-seeking behavior, access to diagnostic testing, and ...access to appropriate treatment. Performance on these indicators varies widely from country to country. Among countries with Demographic and Health Surveys (DHS) or Malaria Indicator Surveys (MIS) completed between 2014 and 2016, advice and treatment was sought for a median of 47% of children under age 5 with fever.
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Accessed on 06.03.2022
Air pollution is contamination of the indoor or outdoor environment by any chemical, physical or biological agent that modifies the natural characteristics of the atmosphere. Household combustion devices, motor vehicles, industrial facilities and forest fires are common sou...rces of air pollution. Pollutants of major public health concern include particulate matter, carbon monoxide, ozone, nitrogen dioxide and sulfur dioxide. Outdoor and indoor air pollution cause respiratory and other diseases and is an important source of morbidity and mortality.
Air pollution kills an estimated seven million people worldwide every year. WHO data shows that almost all of the global population (99%) breathe air that exceeds WHO guideline limits containing high levels of pollutants, with low- and middle-income countries suffering from the highest exposures. WHO is supporting countries to address air pollution.
From smog hanging over cities to smoke inside the home, air pollution poses a major threat to health and climate. The combined effects of ambient (outdoor) and household air pollution cause millions of premature deaths every year, largely as a result of increased mortality from stroke, heart disease, chronic obstructive pulmonary disease, lung cancer and acute respiratory infections.
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Accessed on 01.03.2020
Since its inception in 1995, the Multiple Indicator Cluster Surveys, known as MICS, has become the largest source of statistically sound and internationally comparable data on women and children worldwide. In countries as diverse as Costa Rica, Mali and Qatar, trained field...work teams conduct face-to-face interviews with household members on a variety of topics – focusing mainly on those issues that directly affect the lives of children and women.
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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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BMJ Open2018;8:e020423. doi:10.1136/bmjopen-2017-02042
EC has been increasingly used in the evaluation of maternal and child health programmes.12–15 For instance, Nesbitt et al compared crude coverage and EC of pregnant women with facility-based obstetric services in Ghana and estimated that alth...ough 68% of the women studied had service access only 18% received high-quality care provided by a skilled birth attendant.16 Similarly, by comparing EC of young children receiving Strengths and limitation of this study. Using multiple data sources (direct observation, vignettes, facility inventories) this study comprehensively assessed under 5-year-old child service
performance of first-line health facilities. We conducted this study in around 500 primary-level health facilities and within 7000 households
across six regions in Burkina Faso.
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Accessed June 2018 | UNICEF Data: Monitoring the Situation of Children and Women
This year’s MPI results show that more than two-thirds of the multidimensionally poor—886 millionpeople—live in middle-income countries. A further 440 million live in low-income countries. In both groups, data show, simple national averagescan hide enormous inequality inpatterns of povertywith...in countries. For instance, in Uganda 55 percentof the population experience multidimensional poverty—similartotheaverage in Sub-Saharan Africa. But Kampala, the capital city, has an MPI rate of sixpercent, whileinthe Karamojaregion, the MPI soars to 96 percent—meaningthat partsof Ugandaspan the extremes of Sub-Saharan Africa.There is even inequality under the same roof. In South Asia, for example, almost a quarter ofchildren under five live in households where at least one child in the household is malnourished but at least one child is not.
There is also inequality among the poor. Findings of the2019 global MPI paint a detailed picture of the many differences in how-and how deeply -people experience poverty. Deprivationsamong the poor varyenormously: in general, higher MPI valuesgo hand in hand with greater variationin the intensity of poverty. Results also show that children suffer poverty more intensely than adults and are more likely to be deprived in all 10 of the MPI indicators, lackingessentialssuch as clean water, sanitation, adequate nutrition or primary education
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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...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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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...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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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.
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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.
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The study collected data on the impact of HIV-related diseases on income, revenues, economic dependency, consumption, education, health, food security, stigma, discrimination, quality of life, and migration. The study also assessed people living with chronic diseases in order to compare the impact o...f living with HIV/AIDS with the impact of living with a chronic disease.
Stigma, discrimination, and socio-economic exclusion continue to affect the rights and socio-economic opportunities of people living with HIV in Myanmar. Households with a family member who has HIV, have lower incomes, fewer assets and lower home-ownership, compared to households that are not affected by HIV. They also have more household debt, and their families pay a higher rate of interest compared to families not affected by HIV.
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This guide was prepared to enable advocates to use data
when advocating for universal access to SRHR at the national,
regional and global levels. It is a direct outcome of the Strategic
SRHR Indicators workshop held in Kuala Lumpur, Malaysia on
21-22 August for the project “Strengthening the N...etworking,
Knowledge Management and Advocacy Capacities of an AsiaPacific
Network for SRHR” supported by the EU.
One of the major objectives of the project is to develop
a comprehensive monitoring framework of indicators for
measuring government performance to fulfil their international
commitments, particularly to the ICPD and the MDGs, both in
the Asia-Pacific region and globally.
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Access to health workers who are fit for purpose, motivated and protected is a fundamental force of health service delivery and the achievement of universal health coverage and the health and health-related Sustainable Development Goals. Data and knowledge of the distribution, skill mix and future d...evelopment needs of the health workforce can mean the difference between enabling or impeding health systems performance, inclusive economic growth and global health security preparedness and response
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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.
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WHO recently conducted a survey to assess the availability and cost of a national tracer list of essential medicines in the outpatient sector in Ukraine using a new collection tool – the WHO Essential Medicines and Health Products Price and Availability Monitoring Mobile Application. This tool fac...ilitates rapid and inexpensive data collection at the facility level.
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Based on the Vulnerability Index developed in this review, an estimated 22.7 million persons in Myanmar, or 44% of the population, were found to have some form of vulnerability related to human development and/or exposure to active conflict/violence. These people experience varying combinations of p...oor housing, lack of education, poor educational attainment, lack of access to safe sanitation and improved drinking water, and direct exposure to conflict.
Shan and Ayeyarwady have the largest populations of vulnerable persons, a function of both their size and relative vulnerability in comparison to other States and Regions. Yangon and Shan show the widest variation in vulnerability across townships (in terms of the number of vulnerable persons and their level of vulnerability), followed by Mandalay, Chin and Rakhine.
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