This landscape analysis aims to:
1. Identify and document supportive policies and best practices in family planning program implementation
2. Assess the quality of family planning service provision
3. Propose recommendations for scaling up best family planning practices and new interv...entions to improve program effectiveness and increase utilization of contraception
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l’IMC et le gain de poids gestationnel sont des facteurs déterminants des risques de
résultats de grossesse, de la santé de la mère et de l’enfant. Cette étude analyse l’incidence de la
nutrition chez les femmes enceintes sur la santé néonatale au Bénin. Les résultats d’estimation... par les
équations simultanées montrent que le gain de poids gestationnel insuffisant ou excessif a des effets
néfastes aussi bien sur la santé de la mère que sur celui de l’enfant. L’étude montre que la majorité des
femmes béninoises étudiées, avec un IMC faible ou normal n’atteignent pas le gain de poids
gestationnel recommandé en fin de grossesse. La plupart des nouveau-nés de petits poids de naissance
sont nés de femme dont l’IMC est normal, ce qui renforce la théorie bien connue que l’IMC n’est pas un
bon indicateur de la malnutrition chez la femme enceinte.
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Document No. : FDA/SMC/SMD/GL-SMP/2015/05 |
These guidelines are for information, guidance and strict compliance by Marketing Authorization Holders and Local Representatives of regulated products to help in the continuous safety monitoring of products granted marketing authorization in Ghana.
Ces affiches et brochures ont été produites en mars 2020 en réponse à la crise du COVID-19.
These posters and brochures were produced in March 2020 as a response to the COVID-19 crisis.
Euro Surveillance 2014;19(47):pii=20970, p.31-37
Vol. 7, No. 1 (2018) | ISSN 2166-7403 (online) DOI 10.5195/cajgh.2018.295 | http://cajgh.pitt.edu
Lancet Glob Health 2022; 10: e491–500
…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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Issues & Regulations Regarding Pharmaceutical Waste Management