What are the political, economic, social and security implications of the Ebola crisis, with a particular focus on Sierra Leone?
BMC Medicine (2015) 13:42 DOI 10.1186/s12916-014-0263-6
In this review, the editors will investigate the impact of eight WASH interventions in preventing (reducing the risk of) and controlling outbreaks in LMIC, with particular focus on three diseases ...pan class="attribute-to-highlight medbox">of current concern to the response community – cholera, Ebola, and Hepatitis E. Additionally, we will explore economic outcomes related to WASH interventions within an outbreak
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TB policies in 29 Countries
A survey of prevention, testing and treatment policies and practices
BMC Health Services Research BMC series – open, inclusive and trusted201818:251; https://doi.org/10.1186/s12913-018-3072-3
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 ...bute-to-highlight medbox">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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DHS Further Analysis Reports No. 111
This study is a theory-driven analysis of the socio-demographic determinants of maternal care seeking in Kenya. Specifically, it examines predisposing, enab...ling, and need factors potentially associated with use of antenatal care (ANC), health facility delivery, and timely postnatal care (PNC).
This study uses data from the 2014 Kenya Demographic and Health Survey (KDHS) conducted among women age 15-49 with a live birth in the five years preceding the survey. It includes data from all 47 counties of Kenya, grouped contiguously into 12 regions. We apply Andersen’s Behavioral Model of Health Services Use to examine socio-demographic predictors of health service use. We estimate logistic regression models for adequate use of ANC (defined as attending at least four ANC visits, starting in the first three months of pregnancy), delivery in a health facility, and PNC within 48 hours of delivery.
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From 2000 to 2010, Rwanda implemented comprehensive health sector reforms to strengthen the public health system, with the aim of reducing maternal and newborn deaths in line with Millennium Development Goal 5, among many other improvements in natio...nal health. Based on a systematic review of the literature, national policy documents and three Demographic & Health Surveys (2000, 2005 and 2010), this paper describes the reforms and the policies they were based on, and provides data on the extent of Rwanda’s progress in expanding the coverage of four key women’s health services. Progress took place in 2000–2005 and became more rapid after 2006, mostly in rural areas, when the national facility-based childbirth policy, performance-based financing, and community-based health insurance were scaled up. Between 2006 and 2010, the following increases in coverage took place as compared to 2000–2005, particularly in rural areas, where most poor women live: births with skilled attendance (77% increase vs. 26%), institutional delivery (146% increase vs. 8%), and contraceptive prevalence (351% increase vs. 150%). The primary factors in these improvements were increases in the health workforce and their skills, performance-based financing, community-based health insurance, and better leadership and governance. Further research is needed to determine the impact of these changes on health outcomes in women and children.
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BMJ Glob Health 2019;4:e001272. doi:10.1136/bmjgh-2018-001272
Trust is an essential component of successful cooperative endeavours. The global health response to the 2014–2016 West Africa Ebola outbreak confronted historically tenuous regional re...lationships of trust. Challenging sociopolitical contexts and initially inappropriate communication strategies impeded trustworthy relationships between communities and responders during the epidemic. Social scientists affiliated with the Ebola 100-Institut Pasteur project interviewed approximately 160 local, national and international responders holding a wide variety of roles during the epidemic
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Listening to what children in crisis have to say is not only a moral and ethical responsibility for donor and humanitarian actors, it is also a humanitarian obligation. Children’s right to participation is recognised in the United Nations Convention on the Rights ...t medbox">of the
Child (UNCRC), which provides rights for children to express their views and ‘be heard and taken seriously’.
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Review
published: 12 August 2016 doi: 10.3389/fpubh.2016.00166
Frontiers in Public Health | www.frontiersin.org 1 August 2016 | Volume 4 | Article 166