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For humanitarian organisations to respond effectively to complex crises, they require access to up-to-date evidence-based guidance. The COVID-19 crisis has highlighted the importance of updating global guidance to context-specific and evolving needs in humanitarian settings. Our study aimed to under
...
stand the use of evidence-based guidance in humanitarian responses during COVID-19. Primary data collected during the rapidly evolving pandemic sheds new light on evidence-use processes in humanitarian response.
more
The Best Buys for Disease Elimination is a practical, evidence-based guide to the most effective actions for countries to implement in order to eliminate communicable diseases. The guide highlights the efficient use of resources and prioritizing populations in vulnerable situations.
“The Region
...
of the Americas is advancing steadily towards the elimination of communicable diseases,” said Dr. Jarbas Barbosa, PAHO Director. “To achieve this, it is necessary to increase and sustain high vaccination coverage, engage communities to expand access to diagnosis and treatment, strengthen surveillance, and bring integrated services to marginalized communities, incarcerated populations, and those living in informal settlements,” he added.
For each disease and condition included in the Elimination Initiative, the Best Buys are presented as one-page documents with clear, accessible information. Each Best Buy summarizes expected impact goals, disease elimination targets, key operational indicators, and priority interventions that have proven to be cost-effective in different contexts.
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Kenya: Guidelines on use of antiretroviral drugs for treating and preventing HIV infection
recommended
2018 Edition
Towards universal access
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 Sep
...
tember 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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