Research
BMJ 2014;349:g4643 doi: 10.1136/bmj.g4643 (Published 5 August 2014), 1-11
DHS Analytical Studies No. 39
DHS ANALYTICAL STUDIES 56
Bangladesh, Cambodia, India, Indonesia, Nepal, Pakistan, Philippines
DHS Working Papers No. 84
Further analysis of the 2011 Nepal Demographic and Health Survey
AN ANALYSIS OF UNICEF MICS 3 SURVEY DATA FROM BANGLADESH, LAO PDR, MONGOLIA AND THAILAND
This overview of the current situation summarizes the links between nutrition and disability and identifies potential areas where the global partnership may influence the global agenda
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).
This report investigates the impact of potential misclassification of samples on HIV prevalence estimates for 23 surveys conducted from 2010-2014. In addition to visual inspection of laboratory results, we examined how accounting for potential misclassification of HIV status through Bayesian latent ...class models affected the prevalence estimates. Two types of Bayesian models were specified: a model that only uses the individual dichotomous test results and a continuous model that uses the quantitative information of the EIA (i.e., the signal-to-cutoff values). Overall, we found that adjusted prevalence estimates matched the surveys’ original results, with overlapping uncertainty intervals. This suggested that misclassification of HIV status should not affect the prevalence estimates in most surveys. However, our analyses suggested that two surveys may be problematic. The prevalence could have been overestimated in the Uganda AIDS Indicator Survey 2011 and the Zambia Demographic and Health Survey 2013-14, although the magnitude of overestimation remains difficult to ascertain. Interpreting results from the Uganda survey is difficult because of the lack of internal quality control and potential violation of the multivariate normality assumption of the continuous Bayesian latent class model. In conclusion, despite the limitations of our latent class models, our analyses suggest that prevalence estimates from most of the surveys reviewed are not affected by sample misclassification.
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Save the Children in collaboration with the Bhubaneswar Municipal Corporation (BMC) and the state National Health Mission (NHM) undertook this study in the urban slums of Bhubaneswar city to generate learnings for designing a city-specific public health approach to improve MNH services for the urban... poor.
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Save the Children in collaboration with the Pune Municipal Corporation (PMC) and the state National Health Mission (NHM) undertook this study in the urban slums of Pune City to generate learnings for designing a city-specific public health approach to improve MNH services for the urban poor.
Regional Network for Equity in Health in east and southern Africa (EQUINET): Disussion Paper 110
This report compiles evidence from published, grey literature and key informants on the UNMHCP
since its introduction in Uganda’s health system, and findings were further validated during a oneda...y
national stakeholder meeting.
Three main factors motivated introduction of the UNMHCP. First, Uganda, along with other lowincome countries, was unable to implement holistically the primary healthcare (PHC) concepts as set out in the Alma Ata Declaration. Second, the macro-economic restructuring carried out in the 1990s, which was an international conditionality for low-income countries to access development financing, influenced the trend towards more stringent prioritisation of health interventions as a means of rationing and targeting use of resources. Third, the government sought to achieve equity with a service package that would be universally available for all people.
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Update - 27 June 2018
During the reporting week, the monsoon rains brought 252 mm of rainfall compared to 95 mm during the previous week. The downpour caused 65% of the week’s weather-related incidents (i.e. landslides, wind-storms and floods). Three rain gauges were installed in Chakmarkul (...near Camp 21), Camp 16 and Kutupalong, complementing existing rain gauges in Cox’s Bazar and Teknaf, as well as the Meteorological Station installed by Samaritan Purse in Camp 12. This network of rain gauges provides localized rainfall data at regular intervals throughout the day, which will allow the humanitarian community to better monitor, anticipate and respond to developments within the camps. Relocation of families at risk of landslides and flooding continued; a total of some 200 families have already moved to Camp 20 Extension and more than 100 families to Camp Extension 4. Repair of access roads, culverts, bridges and infrastructure is ongoing with continued attention to preparing for further heavy rains.
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Program Implementation Manual (PIM)
The Save One Million Lives Program for Results (SOML PforR) is a Federal Government of Nigeria maternal and child health program, supported by the World Bank, which provides incentives based on achievement of results (health outcomes) and helps to drive insti...tutional processes needed to achieve these results.
This Program Implementation Manual provides a description of the program and operational guidelines for effective implementation. The Manual contains guidelines and procedures relating to disbursements and fund flows, institutional arrangements, financial management as well as monitoring and evaluation, while providing clear definition of the roles and responsibilities of all stakeholders.
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Assessment of physical disability at the community level is essential for rehabilitation and supply of services. This study aimed to assess the prevalence of physical disability among adults in an urban community in Sri Lanka.
This water safety plan (WSP) template was developed to support the integration of climate risks into the WSP approach in rural areas of the United Rep. of Tanzania. Examples are presented on how to complete the template, and the information should be considered and customized to the local context....r>
This resource was developed as part of the Department for International Development (DFID, UK)-funded project on “Building adaptation to climate change in health in least developed countries through resilient WASH” which was implemented from 2013-2018 in Bangladesh, Ethiopia, Nepal and Tanzania.
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