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Save the Children in Albania is establishing and strengthening structures and mechanisms which monitor and advocate for children’s rights, promote ways to protect children from all forms of exploitation and violence and also empower and support children and their representatives to meaningfully ad
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vocate for implementation of their rights and influence decisions that bring about changes in their future lives.
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The World Health Organization Disability Assessment Schedule (WHODAS 2.0) is a generic assessment instrument developed by WHO to provide a standardized method for measuring health and disability across cultures. It was developed from a comprehensive set of International Classification of Functioning
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, Disability and Health (ICF) items that are sufficiently reliable and sensitive to measure the difference made by a given intervention.
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This article unites the latest guidelines on the management of arterial hypertension in primary health care in Portuguese speaking countries including Brazil, Angola, Mozambique, São Tomé e Príncipe, Cape Verde, among others.
Guidelines for cognitive and pilot testing of questions for use in surveys
Statistics Division Economic and Social Commission for Asia Pacific Region
Washington Group on Disability Statistics
(2010)
CC
ESCAP Project on improving disability measurement and statistics in the Asia Pacfic Region
Int Health. 2012 December 1; 4(4): 253–259. doi:10.1016/j.inhe.2012.07.001
The Global Reference List of 100 Core Health Indicators is a standard set of core indicators prioritized by the global community to provide concise information on the health situation and trends, including responses at national and global levels.
This second (2018) edition builds on the previous
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work of the inter-agency working group that was commissioned by global health leaders to reduce reporting burden. The 2018 list of indicators contains modifications and additions to indicators and metadata elements to reflect the recommended health and health-related indicators of the Sustainable Development Goals, including universal health coverage.
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Evidence-to-Decision and Grade tables
Background document to the 2018 joint statement by WHO, UNFPA, UNICEF, ICM, ICN, FIGO and IPA: definition of skilled health personnel providing care during childbirth
DHS Further Analysis Reports No. 109 - This report documents trends in key child nutrition indicators in Rwanda. Data from the Demographic and Health Surveys (DHS) in 2005, 2010, and 2014-15 were analyzed, disaggregated by selected equity-related variables, and tested for trends. Over the survey per
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iod, Rwanda had high rates of exclusive breastfeeding, with regional variation. Rates of continued breastfeeding were also high but generally decreased as mother’s education and household wealth increased in all survey years. Complementary feeding practices varied by region, mother’s education, household wealth, urban-rural residence, and sex of the child.
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DHS Further Analysis Reports No. 108 - This report examines levels, trends, and inequalities in maternal health in Rwanda from 2010 to 2014-15 among women age 15-49 with a recent birth. The analysis uses Demographic and Health Survey (DHS) data for 15 key indicators of maternal health: 6 for antenat
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al care, 3 for delivery, 1 for postnatal care, and 5 for barriers to accessing medical care. Levels and trends in these indicators were analyzed overall and by three background characteristics: women’s education, household wealth quintile, and region.
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Measuring the Success of Family Planning Initiatives in Rwanda: A Multivariate Decomposition Analysis.
uhoza, Dieudonné Ndaruhuye, Pierre Claver Rutayisire, and Aline Umubyeyi.
Calverton, Maryland, USA: ICF International
(2013)
C2
DHS Working Papers No. 94 - This study described the family planning initiatives in Rwanda and analyzed the 2005 and 2010 RDHS data to identify factors that contribute to the increase in contraceptive use. The Blinder-Oaxaca technique was used to decompose the contributions of women’s characterist
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ics and their effects.
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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
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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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