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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Background: The amount of resources, particularly prepaid resources, available for health can affect access to health care and health outcomes. Although health spending tends to increase with economic development, tremendous variation exists among health financing systems. Estimates of future spendi...ng can be beneficial for policy makers and planners, and can identify financing gaps. In this study, we estimate future gross domestic product (GDP), all-sector government spending, and health spending disaggregated by source, and we compare expected future spending to potential future spending. Methods: We extracted GDP, government spending in 184 countries from 1980–2015, and health spend data from 1995–2014. We used a series of ensemble models to estimate future GDP, all-sector government spending, development assistance for health, and government, out-of-pocket, and prepaid private health spending through 2040. We used frontier analyses to identify patterns exhibited by the countries that dedicate the most funding to health, and used these frontiers to estimate potential health spending for each low-income or middle-income country. All estimates are inflation and purchasing power adjusted.
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The accounting framework for health care financing is a key component of A System of Health Accounts 2011, published by OECD, Eurostat and WHO in October 2011.1 The framework makes health accounts more adaptable to rapidly evolving health financing systems, further enhances crosscountry comparabilit...y of health expenditures and financing data, and ultimately improves the information base for the analytical use of national health accounts (NHAs). It is hoped that SHA 2011 – including its financing framework – will make health accounts a more useful assessment and monitoring tool for health systems and health expenditure in the economy as a whole.
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Accessed on 06.03.2022
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Air Pollution in Africa: Real-time Air Quality Index Visual Map
This document has been developed to support countries develop and strengthen individualized peer support services in mental health and related areas. It addresses the provision of individualized peer support in the context of health services and the wider community.
Access to medical personal protective equipment (PPE) is essential for routine healthcare delivery, and a critical tool for containing outbreaks, as well as preventing and responding to pandemics. It is one of our most effective tools against COVID-19, and an undervalued tool more generally in infec...tion control.
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This handbook and teaching guide on recovery has been designed to complement the QualityRights training module on Promoting Recovery in Mental Health and Related Services. The handbook and teaching guide covers much of the same material, but also contains additional text and exercises. It can be giv...en to participants at the end of the training sessions so that they are able to review the concepts and material learned during the training.
Alternatively, it can be used independently as a standalone document to deliver training on recovery over 4-5 training days. The handbook/ teaching guide does not rely on PowerPoint presentations to deliver the training. Instead all participants should have a copy of the handbook/ teaching guide and work through the text and exercises either in plenary or in groups based on the discretion of the facilitator for the training.
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Desta et al. Int J Ment Health Syst (2018) 12:38 https://doi.org/10.1186/s13033-018-0217-z
Reference Manual for Programme Managers on Accreditation Process
This document has been developed to support countries to develop and strengthen peer support groups in mental health and related areas. It addresses the provision of peer support groups in the context of health services and the wider community.
This training and guidance has been developed to provide an in-depth understanding on what it means to respect legal capacity in mental health and related areas as well as concrete strategies to ensure that people are able to exercise their right to legal capacity in all areas of their life. In this... context a wide range of scenarios are used to describe how different models of supported decision making can be applied in practice.
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Accessed on 06.03.2022
AirQ+: software tool for health risk assessment of air pollution
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The overall goal of the Kenya Health Sector Referral Strategy is to improve client access to referral. The objectives of the strategy are to realise improved capacity of health providers to identify clients who require referral, develop protocols that will lead to referral system efficiency and effe...ctiveness, and promote and facilitate information and communication technology (ICT) to manage referrals, improve care, enhance capacity of the referral system in Kenya, provide communication and related equipment, and promote research and innovation for referrals.
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This document provides training and guidance on legal capacity and how supported decision making, recovery plans and advance plans help to avoid involuntary detention and treatment and ensure people are able to exercise their right to legal capacity.