Demographic Health Survey Working Paper 2017 No. 130
Saudi Journal of Biological Sciences. http://dx.doi.org/10.1016/j.sjbs.2016.03.006
Open Access
There are social and environmental barriers faced by persons with disabilities which have been reported in literature. In discussing these barriers, attention is yet to be given to the support from families to members with disabilities. This study aimed to examine family support and its impact on th...e lives of persons with disabilities in Ghana.
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Clinical Infectious Diseases
1586 - 1594 • CID 2016:62 (15 June) • HIV/AIDS
A Systematic Review and Meta-analysis
Clinical Infectious Diseases® 2016;62(12):1586–94
User satisfaction with assistive devices is a predictor of use and an important outcome measure. This study evaluated client satisfaction with prosthetic and orthotic assistive devices and services in three provinces in the Lao People’s Democratic Republic. Clients were quite satisfied with the as...sistive device and services provided, yet many reported barriers to optimal device use and difficulties in accessing follow-up services. There is a need to examine how prosthetic and orthotic devices can be improved further for better comfort and ambulation on uneven ground in low-resource contexts and to address access barriers.
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The 2017 Global Nutrition Report focuses on 5 key areas and finds that improving nutrition can have a powerful multiplier effect across the SDGs. Indeed, it indicates that it will be a challenge to achieve any SDG without addressing nutrition. The report shows that there is an exciting opportunity t...o achieving global nutrition targets while catalysing other development goals through ‘double duty’ and ‘triple duty’ actions, which tackle malnutrition and other development challenges could yield multiple benefits across the SDGs.
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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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Int. J. Environ. Res. Public Health 2018, 15(12), 2626; https://doi.org/10.3390/ijerph15122626
Climate change is increasing risks to human health and to the health systems that seek to protect the safety and well-being of populations. Health authorities require information about current associatio...ns between health outcomes and weather or climate, vulnerable populations, projections of future risks and adaptation opportunities in order to reduce exposures, empower individuals to take needed protective actions and build climate-resilient health systems. An increasing number of health authorities from local to national levels seek this information by conducting climate change and health vulnerability and adaptation assessments. While assessments can provide valuable information to plan for climate change impacts, the results of many studies are not helping to build the global evidence-base of knowledge in this area. They are also often not integrated into adaptation decision making, sometimes because the health sector is not involved in climate change policy making processes at the national level. Significant barriers related to data accessibility, a limited number of climate and health models, uncertainty in climate projections, and a lack of funding and expertise, particularly in developing countries, challenge health authority efforts to conduct rigorous assessments and apply the findings. This paper examines the evolution of climate change and health vulnerability and adaptation assessments, including guidance developed for such projects, the number of assessments that have been conducted globally and implementation of the findings to support health adaptation action. Greater capacity building that facilitates assessments from local to national scales will support collaborative efforts to protect health from current climate hazards and future climate change. Health sector officials will benefit from additional resources and partnership opportunities to ensure that evidence about climate change impacts on health is effectively translated into needed actions to build health resilience.
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