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Category
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Toolboxes
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1
Accessed November 2, 2017
Pregnancy and childbirth during adolescence profoundly affects the lives of millions of girls worldwide, and is a leading cause of maternal mortality and morbidity, and infant and child mortality. Every year, an estimated 21 million girls aged 15–19 years old in low- and middle-income countries be
...
come pregnant, and approximately 12 million give birth.
For many adolescent girls, the ability to control their sexual lives remains limited. Long-standing gender inequalities and discrimination, marginalization, harmful social and gender norms, and denial of rights, compounded by poverty and violence, render them vulnerable to early pregnancy, HIV and other health threats. Lack of age-appropriate sexual and reproductive health and rights (SRHR) information and services create additional barriers to care and support; as a result, adolescent girls who become pregnant are much more likely to go on to have rapid repeated births.
more
Sub-Saharan African Journal of Medicine: Year : 2014 | Volume : 1 | Issue : 1 | Page : 1-14
TB heroes
Hello, my name is Nurse X
My job is to promote integrated HIV and TB prevention, care, treatment and support. This ensures that we, and my team of health care service providers treat everyone who is living with
...
HIV and TB to have all the antiretroviral therapy (ART) and HIV care services are provided with TB diagnosis and treatment at one facility. Services that we provide include * Infection control education * TB screening and diagnosis * HIV testing * Treatment for those who require it * Adherence support
Accessed November 2017
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 miscl
...
assification 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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The primary objective of this book is to provide practical, up-to-date guidelines for the consulting clinician working with patients with HIV in primary care
Psychatry & Pediatrics
Chapter I.3
