Endorsed by the CCM Georgia on April 15th 2015
Accessed: 26.09.2019
Ghana is attracting global attention for efforts to provide health insurance to all citizens through the National Health Insurance Scheme (NHIS). With the program’s strong emphasis on maternal and child health, an expectation of the program is that members will have increased use of relevant servi...ces. The NHIS does appear to enable pregnant women to access services and allow caregivers to seek care early for sick children, but both the quantitative and qualitative assessments also indicated that the poor and least educated were less likely to have insurance than their wealthier and more educated counterparts.
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Recommendations for Tuberculosis Screening Before Initiation of TNF-α-Inhibitor Treatment in Rheumatic Diseases
Diel R et al. Empfehlungen für das Tuberkulosescreening vor Gabe von TNF-α-Inhibitoren… Pneumologie 2009; 63: 329–334
Mood disorders
Chapter E.2
Vitamin A deficiency is a risk factor for blindness and for mortality from measles and diarrhoea in children aged 6–59 months. We aimed to estimate trends in the prevalence of vitamin A defi ciency between 1991 and 2013 and its mortality burden in low-income and middle-income countries.
Rutstein SE et al. Journal of the International AIDS Society 2017, 20:21579 http://www.jiasociety.org/index.php/jias/article/view/21579 | http://dx.doi.org/10.7448/IAS.20.1.21579
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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This report is primarily intended for the community of policymakers and researchers concerned about the rising risks of domestic, regional, and global infectious disease epidemics, and the collective failure to take the coordinated actions required to reduce such risks. These risks include the expec...ted health, economic, and societal costs that are borne by countries, regions, and even all nations in the case of pandemics (which are worldwide epidemics). These risks also include the consequences of increasing antimicrobial resistance (AMR) and its spread within regions and globally. A necessary first step is to monitor whether a broad range of stakeholders are acting to prevent outbreaks from becoming epidemics, whether their capacities to respond to epidemics are robust, and whether preparedness to respond to pandemics and limit the resulting economic and health damage is improving. Analyzing the adequacy of these efforts is vitally important for the decisions of policymakers to invest in the public health and disaster-risk management capacities. Early and effective control of disease outbreaks prevents substantial health and economic costs whether or not the disease can spread globally and become a pandemic.
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MMWR: Recommendations and Reports / Vol. 62 / No. 9
Morbidity and Mortality Weekly Report
October 25, 2013
As a public good, antimicrobial medicines require rational use if their effectiveness is to be preserved. However, up to 50% of antibiotic use is inappropriate, adding considerable costs to patient care, and increasing morbidity and mortality. In addition, there is compelling evidence that antimicro...bial resistance is driven by the volume of antimicrobial agents used. High rates of antimicrobial resistance to common treatments are currently reported all over the world, both in health care settings and in the community. For over two decades, the Region of the Americas has been a pioneer in confronting antimicrobial resistance from a public health perspective. However, those efforts need to be stepped up if we are to have an impact on antimicrobial resistance and want to quantify said impact.
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