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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The purpose of this manual is to define a limited number of indicators that will objectively describe the management and use of antimicrobials in hospitals and to provide tools and step-by-step instructions for designing and carrying out an assessment of antibiotic use and management in hospitals. T...he indicators in this manual will complement the existing WHO (1993) indicators of outpatient antimicrobial use suggested in How to Investigate Drug Use in Health Facilities (including percentage of encounters in which an antibiotic was prescribed and percentage of medicine costs spent on antibiotics) and will address the need for antimicrobial indicators for inpatient conditions.
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This revision covers the main non-communicable diseases in Mozambique as well as the National Strategic Plan's aim to create a positive environment to minimize or eliminate the exposure to risk factors and guarantee access to care.
The occurrence of a high percentage of couterfeit medicines on the global medicines market is often attributed to a lack of effective regulation and a weak enforcement capacity. This review, while focusing on counterfeit medicines and medical devices in developing countries, will present information... on their impact and how these issues can be addressed by regulation and control of the supply chain using technology appropriate to the developing world.
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The Vision 2020 is a reflection of our aspiration and determination as Rwandans, to construct a united, democratic and inclusive Rwandan identity, after so many years of authoritarian and exclusivist dispensation. We aim, through this Vision, to transform our country into middle - income nation in w...hich Rwandans are healthier, educated and generally more prosperous. The Rwanda we seek is one that is united and competitive both regionally and globally. To achieve this, the Vision 2020 identifies six interwoven pillars, including good governance and an efficient State, skilled human capital, vibrant private sector, world class physical infrastructure and modern agriculture and livestock, all geared towards prospering in national, regional and global markets.
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Robust clinical research capacity in low- and middle-income countries is key to stemming the spread of epidemics, according to a new report from the International Vaccines Task Force (IVTF). The report lays out how to develop the political support, financing and coordination required to build this c...apacity as a crucial component of global epidemic preparedness. The IVTF was convened by the World Bank Group (WBG) and the Coalition for Epidemic Preparedness Innovations (CEPI) in October 2017.
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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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2nd edition. Essential guideline for humanitarian assistance