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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This report has been developed, based on data provided by the TB & ORD surveillance system from across Rwanda. It provides a comprehensive picture of the occurrence and management of TB & ORD and Leprosy in Rwanda. It is structured based on the 2013-2018 Rwanda TB national strategic plan (2013-2018 ...TB NSP) and on the 2014-2018 Rwanda Leprosy national strategic plan (2014-2018 Leprosy NSP).
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In 2014, the Ministry of Health (MOH) in Malawi conducted a nationwide assessment of emergency obstetric and newborn care (EmONC) services. This cross-sectional facility-based survey used 10 data collection modules. Data collection began on 23rd September 2014 and concluded on 17th October 2014, in ...all 28 districts. Facilities in both the public and private sector (for-profit and not-for-profit) were included. Since the focus of the assessment was obstetric and newborn care, health facilities that did not offer maternal and newborn health (MNH) services were not selected. In all districts, a census of all hospitals and a 60 percent random sample of health centres that ought to have performed deliveries in the previous year yielded a total of 365 facilities: 87 hospitals and 278 health centres. All these facilities were visited during the assessment. During analysis, weighting procedures were applied to extrapolate results to the district and national level, representing all 87 hospitals and 464 health centres. Such weighting was necessary as a stratified random sample of health centres was taken and weighting applied to all indicators and presentations that have health facility as a unit of measurement. Case reviews and provider’s interviews, on the other hand, are not weighted as their sampling strategy is based on convenience.
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Lancet Glob Health 2020Published OnlineNovember 27, 2020 https://doi.org/10.1016/S2214-109X(20)30449-6
Every year, nearly 250 million people move across borders temporarily or permanently for a job opportunity, studying, to flee a crisis back home, or for other reasons. Another 750 million move for similar reasons within the borders of their countries. With the understanding that human mobility affec...ts public health, and health affects human mobility and migrants, for decades, IOM has been providing critical health services to women, children and men on the move, while standing by governments for technical and operational support as needed. In 2019, in lower-income settings and in complex emergencies, along the world’s most perilous migration routes, in the aftermath of natural disasters or in response to disease outbreaks, IOM’s health teams have provided hundreds of thousands with primary health-care consultations, mental health and psychosocial support, sexual and reproductive health care, pre-migration health services, and much more.
This year, more than ever before, as the world reels from the socioeconomic impact of COVID-19, we have experienced that health is a cross-cutting component of overall human development and well-being.
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This policy brief aims to provide a review of the current progress on implementing the Kenya national action plan on AMR, identifies critical gaps, and highlights findings to accelerate further progress in the human health sector. The target audience includes all those concerned with implementing ac...tions to combat antimicrobial resistance in Kenya.
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