The Zimbabwe National Pharmacovigilance Policy Handbook, 2nd Edition updates the November 2013 version to indicate the Zimbabwe National Pharmacovigilance (PV) Centre’s compliance with the WHO Pharmacovigilance Indicators Handbook 2015.
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Versión actualizada - 2010
Epidemiologisches Bulletin ; 4/2022
des Deutschen Zentralkomitees zur Bekämpfung der Tuberkulose (DZK) und der Deutschen Gesellschaft für Pneumologie und Beatmungsmedizin (DGP)
Recommendations for Diagnosis and Treatment of Nontuberculous Mycobacterioses of the German Central Committee against Tuberculosis and the German Respirator...y Society
Pneumologie 2013; 67: 605–633
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For biological agents, the publication covers 11 bacteria,
fungi and viruses listed by states parties to the Biological
Weapons Convention in declarations of past offensive
research and development programmes, or considered of
special concern for possible use in terrorism. All of these
agents c...an cause natural disease in humans, though with
markedly different frequency.
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The Global Reference List of 100 Core Health Indicators is a standard set of core indicators prioritized by the global community to provide concise information on the health situation and trends, including responses at national and global levels.
This second (2018) edition builds on the previous ...work of the inter-agency working group that was commissioned by global health leaders to reduce reporting burden. The 2018 list of indicators contains modifications and additions to indicators and metadata elements to reflect the recommended health and health-related indicators of the Sustainable Development Goals, including universal health coverage.
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La deuxième Enquête sur la prestation des services de soins de santé du Rwanda (EPSR-II), réalisée en 2007, est une enquête représentative au niveau national au cours de laquelle un échantillon de 538 établissements de santé ont été enquêtés. L’enquête a couvert les ôpitaux, les ce...ntres de santé, les dispensaires et les postes de santé et a inclus tous les établissements publics, qu’ils appartiennent au secteur gouvernemental ou Agréé, et la plupart des établissements privées. L’EPSR-II a collecté des informations sur les capacités des
établissements à fournir des services de qualité ainsi que sur l’existence de systèmes effectifs garantissant des services de qualité, par le biais d’interviews effectuées auprès des prestataires de santé et des patients ainsi que par le biais d’observations de consultations de patients ; ces informations concernent essentiellement l’infrastructure d’ensemble de l’établissement ainsi que les services de santé maternelle, infantile, de santé de la reproduction, de tuberculose, du paludisme, des infections sexuellement transmissibles (IST) et du VIH/sida. L’objectif de cette étude est, d’une part, d’évaluer les forces et faiblesses de l’infrastructure et des systèmes de support de ces services et, d’autre part, d’évaluer le niveau d’adhésion des prestataires aux standards de prestation des services.
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L’Enquête sur la Prestation des services de Santé du Rwanda de 2007 (EPSR) décrit comment le secteur formel de la santé du Rwanda fournit les servicesde planification familiale, de santé maternelle et infantile, de paludisme, de VIH/sida et d’autres maladies transmissibles.
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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