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580
1662
184
6
1
Category
1304
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124
117
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13
Toolboxes
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Key messages
● Pre-crisis Infant and Young Child Feeding (IYCF) Practices:
The Code has not been adequately implemented and enforced in Ukraine.
Multiple Indicator Cluster Survey
...
(MCIS) data from 2012: Child ever breastfed (95.4%); early initiation of breastfeeding (EIBF) within 1 hr of birth (65.7%); children under 6 months exclusively breastfed (EBF)(19.7%); continued breastfeeding at 1 (37.9%) and 2 years of age (22%); children under 6 months predominantly breastfed (51.6%); children 0-23 months bottle fed (66.6%); introduction of solid, semi-solid or soft foods for children 6-8 months (43.2%).
more
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.
more
South Sudan continues to struggle with a severe health crisis affecting 8.9 million people, primarily in flood- and conflict-affected regions with population movements (displacement and returns), and disease outbreaks. The nation's health system, heavily reliant on international aid, faces staffing
...
and resource shortages. Vulnerable groups, including women, children, the elderly, and those with disabilities, have limited healthcare access and face heightened risks of mortality and illness.
The life expectancy at birth (55 years) is among the lowest globally, as mortality rates remain among the highest with neonatal, infant, under-five mortality rates estimated at 39.63, 63.76 and 98.69 deaths per 1000 live births respectively, and a maternal mortality ratio of 1,223 deaths per 100,000 live births. Although some disease specific mortality rates such as TB and AIDS-related mortality have declined, mortality due to malaria and non-communicable diseases have increased over the past five years.
The main causes of morbidity remain communicable diseases; malaria, is the top cause of morbidity (64%) and mortality (45%) among outpatients, followed by pneumonia and diarrhea.20 Several Counties report malaria cases above the threshold perennially especially during the rainy seasons, affecting mainly children under five years. The last malaria indicator survey (2017) estimated malaria prevalence of 32%, 34% and 18% among children under-five, protection of civilian’s sites, and internally displaced persons, respectively.
more
Bangladesh: Demographic Health Survey 2017-2018
National Institute of Population Research and Training (NIPORT) and ICF
USAID (from the american people)
(2020)
C2
The survey highlights changes that have taken place in Bangladesh’s demographic and health situation since the previous BDHS surveys. The survey provides important information for policymakers and
...
program personnel in addressing the monitoring and evaluation needs of the 4th Health, Population and Nutrition Sector Program (4th HPNSP) of the Ministry of Health Family Welfare (MOHFW).
more
Version 2, January 2016
The primary purpose of this document is to provide 3MDG stakeholders with some essential information on the MNCH core-indicators for 3MDG, which were derived from the 3MDG Logical Framework, Data Dictionary for Health Service Indicators (2014 June, DoPH, MoH), A ... Guide for Monitoring and Evaluating Child Health Programmes (MEASURE Evaluation, September 2005) and Monitoring Emergency Obstetric Care (WHO/UNICEF/UNFPA/AMDD). Partners are strongly encouraged to integrate the MNCH indicators into their ongoing monitoring and evaluation (M&E) activities.
These indicators are designed to help Partners assess the current state of their activities, their progress towards achieving their targets, and contribution towards the national response. This guideline is designed to improve the quality and consistency of data collected at the township level, which will enhance the accuracy of conclusions drawn when the data are aggregated. more
The primary purpose of this document is to provide 3MDG stakeholders with some essential information on the MNCH core-indicators for 3MDG, which were derived from the 3MDG Logical Framework, Data Dictionary for Health Service Indicators (2014 June, DoPH, MoH), A ... Guide for Monitoring and Evaluating Child Health Programmes (MEASURE Evaluation, September 2005) and Monitoring Emergency Obstetric Care (WHO/UNICEF/UNFPA/AMDD). Partners are strongly encouraged to integrate the MNCH indicators into their ongoing monitoring and evaluation (M&E) activities.
These indicators are designed to help Partners assess the current state of their activities, their progress towards achieving their targets, and contribution towards the national response. This guideline is designed to improve the quality and consistency of data collected at the township level, which will enhance the accuracy of conclusions drawn when the data are aggregated. more
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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Further analysis of 2011 Nepal Demographic and Health Survey on Tobacco Data
Khadka, B.B., Karki, Y.B.
National Health Education, Info rmation and Communication Centre MoHP and The Population, Health and Development (PHD) Group.
(2013)
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Bangladesh Demographic and Health Survey 2014. Key Indicators
National Institute of Population Research and Training Dhaka; Mitra and Associates Dhaka
The DHS Program ICF International
(2015)
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Survey of the Quality of Selected Antimalarial Medicines Circulating in Six Countries of Sub-Saharan Africa
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The survey aimed at evaluating the quality of selected antimalarials in six countries of sub-Saharan Africa (Cameroon, Ethiopia, Ghana, Kenya, Nigeria and the United Republic of Tanzania). These countries have been support
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ed by WHO to strengthen their regulatory controls over antimalarial products. The survey was organized independently of manufacturers of antimalarial medicines.
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This Indicator-Based Pharmacovigilance Assessment Tool (IPAT) was developed as a comprehensive performance metric for pharmacovigilance and medicine safety systems.
