Journal of global health
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Journal of global health · Jun 2017
Solar powered oxygen systems in remote health centers in Papua New Guinea: a large scale implementation effectiveness trial.
Pneumonia is the largest cause of child deaths in Papua New Guinea (PNG), and hypoxaemia is the major complication causing death in childhood pneumonia, and hypoxaemia is a major factor in deaths from many other common conditions, including bronchiolitis, asthma, sepsis, malaria, trauma, perinatal problems, and obstetric emergencies. A reliable source of oxygen therapy can reduce mortality from pneumonia by up to 35%. However, in low and middle income countries throughout the world, improved oxygen systems have not been implemented at large scale in remote, difficult to access health care settings, and oxygen is often unavailable at smaller rural hospitals or district health centers which serve as the first point of referral for childhood illnesses. These hospitals are hampered by lack of reliable power, staff training and other basic services. ⋯ This study will evaluate the feasibility and sustainability issues in improving oxygen systems and providing reliable power on a large scale in remote rural settings in PNG, and the impact of this on child mortality from pneumonia over 3 years post-intervention. Taking a continuous quality improvement approach can be transformational for remote health services.
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Journal of global health · Dec 2016
Expansion of health insurance in Moldova and associated improvements in access and reductions in direct payments.
Moldova is the poorest country in Europe. Economic constraints mean that Moldova faces challenges in protecting individuals from excessive costs, improving population health and securing health system sustainability. The Moldovan government has introduced a state benefit package and expanded health insurance coverage to reduce the burden of health care costs for citizens. This study examines the effects of expanded health insurance by examining factors associated with health insurance coverage, likelihood of incurring out-of-pocket (OOP) payments for medicines or services, and the likelihood of forgoing health care when unwell. ⋯ Moldova has achieved improvements in health insurance coverage with reductions in OOP for services, which are modest but are eroded by increasing likelihood of OOP for medicines. Insurance coverage was an important determinant for health care costs incurred by patients and patients forgoing health care. Improvements notwithstanding, there is an unfinished agenda of attaining universal health coverage in Moldova to protect individuals from health care costs.
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The latest outbreak of Ebola in West Africa overwhelmed the affected countries, with the impact on health extending far beyond Ebola-related deaths that have exceeded 11 000. The need to promptly mobilise resources to control emerging infections is widely recognized. Yet, data on research funding for emerging infections remains inadequately documented. ⋯ Significant public and philanthropic funds have been invested in Ebola and Marburg virus research in 2014 and 2015, following the outbreak in West Africa. Long term, strategic vision and leadership are needed to invest in infections with pandemic potential early, including innovative financing measures and open access investment data to promote the development of new therapies and technologies.
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Journal of global health · Jun 2016
Validating hierarchical verbal autopsy expert algorithms in a large data set with known causes of death.
Physician assessment historically has been the most common method of analyzing verbal autopsy (VA) data. Recently, the World Health Organization endorsed two automated methods, Tariff 2.0 and InterVA-4, which promise greater objectivity and lower cost. A disadvantage of the Tariff method is that it requires a training data set from a prior validation study, while InterVA relies on clinically specified conditional probabilities. We undertook to validate the hierarchical expert algorithm analysis of VA data, an automated, intuitive, deterministic method that does not require a training data set. ⋯ Expert algorithms in a hierarchy offer an accessible, automated method for assigning VA causes of death. Overall population-level accuracy is similar to that of more complex machine learning methods, but without need for a training data set from a prior validation study.
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Journal of global health · Jun 2016
Historical ArticleSetting health research priorities using the CHNRI method: IV. Key conceptual advances.
Child Health and Nutrition Research Initiative (CHNRI) started as an initiative of the Global Forum for Health Research in Geneva, Switzerland. Its aim was to develop a method that could assist priority setting in health research investments. The first version of the CHNRI method was published in 2007-2008. The aim of this paper was to summarize the history of the development of the CHNRI method and its key conceptual advances. ⋯ Two recent reviews showed that the CHNRI method, an approach essentially based on "crowdsourcing", has become the dominant approach to setting health research priorities in the global biomedical literature over the past decade. With more than 50 published examples of implementation to date, it is now widely used in many international organisations for collective decision-making on health research priorities. The applications have been helpful in promoting better balance between investments in fundamental research, translation research and implementation research.