Bain LE, et al. BMJ Glob Health 2017;2:e000227. doi:10.1136/bmjgh-2016-000227
Ade et al. BMC Health Services Research (2016) 16:5
Background: In the “Centre National Hospitalier de Pneumo-Phtisiologie” of Cotonou, Benin, little is known about
the characteristics of patients who have not attended their scheduled appointment, the results of tracing and the
possible b...enefits on improving treatment outcomes. This study aimed to determine the contribution of tracing
activities for those who missed scheduled appointments towards a successful treatment outcome.
Methods: A retrospective cohort study was carried out among all smear-positive pulmonary tuberculosis patients
treated between January and September 2013. Data on demographic and diagnostic characteristics and treatment
outcomes were accessed from tuberculosis registers and treatment cards. Information on those who missed their
scheduled appointments was collected from the tracing tuberculosis register. A univariate analysis was performed
to explore factors associated with missing a scheduled appointment
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30th World AIDS Day Report
STAR Initiative, Unitaid and World Health Organization December 2018
BMJ Glob Health 2017;2:e000345. doi:10.1136/bmjgh-2017-000345. WHO's 2020 milestones for Chagas disease include having all endemic Latin American countries certified with no intradomiciliary Trypanosoma cruzi transmission, and infected patients under care. Evaluating the variation in historical expo...sure to infection is crucial for assessing progress and for understanding the priorities to achieve these milestones.
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Tokar et al. Health Research Policy and Systems (2019) 17:23 https://doi.org/10.1186/s12961-019-0415-4
Nutrition data and information systems (ND&IS) are critical to guide the prioritisation, collection, analysis and
dissemination of nutrition data in countries. However, there is limited guidance for countries regarding how to invest
in their ND&IS and little is known about current financing alloca...tions by both countries and donors
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BMJ Global Health Vol.4 (2019 no.4
The Drug Resistance Index (DRI) is proposed as measure of antibiotic effectiveness in a given country, by combining, in a single metric the use of various antibiotic groups and the resistance proportions of several pathogens.It is a complicated measure that gives ...results that cannot be understood by common knowledge and logic. The DRI conveys a wrong message.
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Zanoni BC, et al. BMJ Glob Health 2016;1:e000004. doi:10.1136/bmjgh-2015-000004
Disease epidemiology has a deeper relationship with the dynamic nature of culture. Health behaviors in general are largely shaped by the cultural norms and customs in a society. A mere identification of a behavior could be only a layer on the outer sphere of a particular disease epidemiology and the... interventional efforts to counteract such behaviors through for example public health measures could be futile and volatile, unless the deeper cultural factors are addressed.
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Since the 1970s, voluntary contributions have become an increasingly important component of WHO's budget. As voluntary contributions tend to be earmarked for donor-specified programmes and projects, there are concerns that this trend has diverted focus away from WHO's strategic priorities, made coor...dination and attaining coherence more difficult, undermined WHO's democratic structures and given undue power to a handful of wealthy donors. In the past few years, the WHO Secretariat has pushed for donors to increase the amount of flexible funding they provide.
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Evaluation report
September 2014
END TB
Second Meeting of th WHO Global Coordination Mechanism (GCM/NCD) Working Group on the inclusion of NCDs in other programmatic areas.
Accessded December 2017
2018
Vol.5 No.2:73
DOI: 10.21767/2254-9137.100092
Health Systems and Policy Research ISSN 2254-9137
Socioeconomic status is associated with differences in risk factors for cardiovascular disease incidence and outcomes, including mortality. However, it is unclear whether the associations between cardiovascular disease and common measures of socioeconomic status—wealth and education—differ among... high-income, middle-income, and low-income countries, and, if so, why these differences exist. We explored the association between education and household wealth and cardiovascular disease and mortality to assess which marker is the stronger predictor of outcomes, and examined whether any differences in cardiovascular disease by socioeconomic status parallel differences in risk factor levels or differences in management.
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www.jogh.org • doi: 10.7189/jogh.02.020405 ~ December 2012 • Vol. 2 No. 2 • 020405