Q4: Can convulsive epilepsy be diagnosed at first level care by a non-specialist health care provider in low and middle income country settings?
Research Article
Journal of Addiction
Volume 2016, Article ID 2476164, 8 pages
http://dx.doi.org/10.1155/2016/2476164
Sudan Medical and Scientific Research Institute, Khartoum, Sudan
Received 26 November 2015; Accepted 27 January 2016
The classification of digital health interventions (DHIs) categorizes the different ways in which digital and mobile technologies are being used to support health system needs. Historically, the diverse communities working in digital health—including government stakeholders, technologists, clinic...ians, implementers, network operators, researchers, donors— have lacked a mutually understandable language with which to assess and articulate functionality. A shared and standardized vocabulary was recognized as necessary to identify gaps and duplication, evaluate effectiveness, and facilitate alignment across different digital health implementations. Targeted primarily at public health audiences, this Classification framework aims to promote an accessible and bridging language for health program planners to articulate functionalities of digital health implementations.
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PLoS ONE 7(12): e52986. doi:10.1371/journal.pone.0052986. Opern Access please download from the website
South Africa has a long history of community health workers (CHWs). It has been a journey that has required balancing constrained resources and competing priorities. CHWs form a bridge between communities and healthcare service provision within health facilities and act as the cornerstone of South A...frica’s Ward-Based Primary Healthcare Outreach Teams. This study aimed to document the CHW policy implementation landscape across six provinces in South Africa and explore the reasons for local adaptation of CHW models and to identify potential barriers and facilitators to implementation of the revised framework to help guide and inform future planning.
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An international field study by African and German Theologicans and health workers
The Water, Sanitation, and Hygiene Improvement Training Package is intended to support the training of local outreach workers and their subsequent work in communities to promote improved water, sanitation and hygiene (WASH) practices to reduce diarrhea
Report of a mission 20–24 April 2015
The aim of this report is to: (1) synthesize the findings from selected maternal and newborn related studies in Nepal conducted during 2011-2014, (2) identify areas of improvement in existing interventions, and (3) recommend possible strategies to fulfill such gaps.
An action research conducted in Bang Shau village Northern Shan State, Myanmar
Participant Manual
October 2009
These Blended Learning Modules cover the full range of health promotion, disease prevention, basic management and essential treatment protocols to improve and protect the health of rural communities in Ethiopia. A strong focus is on enabling Ethiopia to meet the Millennium Development Goals to reduc...e maternal mortality by three-quarters and under-5 child mortality by two-thirds by the year 2015. The Modules cover antenatal care, labour and delivery, postnatal care, the integrated management of newborn and childhood illness, communicable diseases (including HIV/AIDS, malaria, TB, leprosy and other common infectious diseases), family planning, adolescent and youth reproductive health, nutrition and food safety, hygiene and environmental health, non-communicable diseases, health education and community mobilisation, and health planning and professional ethics.
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The frequency of infectious disease epidemics is increasing, and the role of the health sector in the management of epidemics is crucial in terms of response. In the context of infectious disease epidemics, the use of climate-informed early warning systems (EWS) has the potential to increase the eff...ectiveness of disease control by intervening before or at the beginning of the epidemic curve, instead of during the downward slope.
Currently, the initiation of interventions is heavily reliant on routine disease surveillance systems – data that often arrive too late for preventative response. However, forecasting of disease outbreaks using surveillance and weather information shows promising potential – there also remains further scope to examine seasonal climate forecasts. By combining these elements in new EWS based on computational models, it will be possible to improve both the timeliness and impact of disease control. The World Health Organization (WHO) is strengthening existing surveillance systems for infectious diseases to enable the development of more robust and timely EWS, which has resulted in the rapid development and innovation of EWS for disease outbreaks.
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