DHS Working Paper No. 136
A total of 1,222 children age 6-23 months were included in this analysis. Twenty percent of children were stunted and 43% were moderately anemic. Regarding IYCF practices, only 16% of children received a minimum acceptable diet, 25% received diverse food groups, 58% were
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fed with minimum meal frequency, 85% currently breastfed, and 59% consumed iron-rich foods. Breastfeeding reduced the odds of being stunted. By background characteristics, male sex, perceived small birth size, children of short stature, and children of working mother were significant predictors of stunting. Iron-rich food consumption was inversely associated with moderate anemia. Among covariates, male sex and maternal anemia were also significant predictors of moderate anemia among children age 6-23 months.
The study concluded that stunting and anemia among young children in Myanmar are major public health challenges that need urgent action.
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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 present the results of the combined efforts. First of all, this is a credit to the Federation of Disab
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led 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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Demographic and Health Surveys, Working Paper
Tokar et al. Health Research Policy and Systems (2019) 17:23 https://doi.org/10.1186/s12961-019-0415-4
แนวปฏิบัติในการจัดการความเสี่ยง ดานภาวะฉุกเฉินและความพิการเพื่อสุขภาพ
This Key Indicators report presents selected findings of the 2019 EMDHS. A comprehensive analysis of the data will be publishedin a final report in 2019.T he primary objective of the 2019 EMDHS project is to provide up-to-date estimates of key demographic and health indicators.
The Government of Malawi is committed to improving health and livelihoods in Malawi through community health – the
provision of basic health services in rural and urban communities with the participation of people who live there.
Historically, Community Health has significantly contributed to im
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provements in Malawi’s health outcomes in particular
attainment of MDG4. However, the community health system faces resource constraints and inconsistencies around quality
of service – which negatively affect health outcomes.
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Indicators are a representation of reality. They are just numbers on a piece of paper or on a computer screen, but they stand for something far greater – the success of your project. Indicators are usually defined in the context of project planning and show something about or give an indication of
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progress towards realising the project goal, without being complete or comprehensive. Of course, there could be other representations of this reality, such as stories (Dart and Davies, 2003) or drawings (Feuerstein, 1986) or photographs (Tijm et al, 2011). However, indicators are a widely accepted way of representing what is being achieved in a programme or project.
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This research report provides results from the study on living conditions
among people with disabilities in Malawi. Comparisons are made between
individuals with and without disabilities and also between households with and without a disabled family member. Results obtained in Malawi are also comp
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ared those obtained in earlier studies carried out in Namibia and Zimbabwe. The Malawian study was undertaken in 2003.
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BMC Pedaitrics. DOI: 10.1186/1471-2431-12-90
Webinar.
The purpose of this booklet is to help readers understand why data on children with disabilities are currently inadequate, the difficulties that surround the gathering of high-quality data on disabled children, and why there is a real need to improve the collection, analysis, dissemination
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and use of disability data.
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Lessons from a decade of Progress