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Department of Mental Health and Substance Abuse
Suicides take a high toll. Over 800 000 people die by suicide every year and it is the second leading cause of
death in 15-29-year-olds. Most suicides occur in low- and middle-income countries where resources
and services, if they do exist, are often scarce and limited for early identification, tr...eatment and support of
people in need. These striking facts and the lack of implemented timely interventions make suicide a serious
global public health problem that needs to be tackled urgently.
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This Pharmaceutical Country Profile for Kenya (2010) has been developed by the Ministry of Medical Services with support of the World Health Organization. The Profile contains information on existing socio-economic and health-related conditions, resources, regulatory structures and processes and out...comes relating to the pharmaceutical sector in Kenya.
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HIV, viral hepatitis and STI epidemics, particularly among people who inject drugs and other key populations, continue to be fuelled by laws and policies criminalizing sex work; drug use or possession; diverse forms of gender expression and sexuality; stigma and discrimination; gender discrimination...; violence; lack of community empowerment and other violations of human rights. These sociostructural factors limit access to health services, constrain how these services are
delivered and diminish their effectiveness.
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…voices of persons with disabilities - Part 1
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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Collection of country-level good practices
HIV Testing and Counselling Guidelines