Diabetes is a significant public health issue that affects approximately one in 10 adults globally, with type 2 diabetes accounting for 90–95% of cases. This chronic condition causes considerable morbidity and mortality and is growing in impact, with cases projected to rise from 537 million in 202...1 to 784 million by 2045.1 As cases rise, it is imperative to ensure the healthcare workforce is prepared to care for affected individuals. However, there is a growing global shortage of healthcare workers, which was estimated, pre pandemic, to reach 15 million by 2030.2 Therefore, all of the healthcare workforce will need to be utilised to their fullest potential in order to address the growing global burden of diabetes. Pharmacists will continue to be essential in this endeavour.
more
This guideline covers care and management for adults (aged 18 and over) with type 2 diabetes. It focuses on patient education, dietary advice, managing cardiovascular risk, managing blood glucose levels, and identifying and managing long-term complications.
DHS Analytical Studies No. 51
Child Health, Family Planning, Geographic Information, HIV, Malaria, Maternal Health
WFP in Namibia collaborated with partners to strategically transition from emergency food relief interventions towards transformative and sustainable food systems assistance. As part of this plan, WFP aims to transfer management of these projects to the Namibian government, thereby contributing to t...he country's overall food self-sufficiency.
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
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.
more
FAST FACTS FROM THE 2014 CAMBODIA DEMOGRAPHIC AND HEALTH SURVEY