Statutory Instrument 150 of 1991 | S.I. 150 of 1991 | Amended by S.I.’ s 298/93, 61/94, 319/94, 199/98, 256/98, 36/99, 24/2001 and 257/2002, 105 and 222 /2004
August 2020.
Essential diagnostic products areconsidered an integral part of UHC, they are an indispensable element for delivery ofservices andare also a requirement for qualitycare. Despite this realization, a review of the UHC pilot in September 2019 es...tablished that whereas the Kenya Medical Supplies Authority (KEMSA) was able to fill up to 80% of pharmaceutical items, the order fill rate for diagnostic products was less than 50 percent for level 2 and 3 facilities and as low as 30 percent for level 4 and 5 facilities.
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In the context of the coronavirus disease (COVID-19) pandemic response, WHO identifies young people as a priority target audience with specific concerns, experiences and behaviours. This policy brief provides relevant insights from behavioural evidence and a set of behavioural considerations for tho...se promoting COVID-19 preventive behaviours among young people. Designers of programmes and initiatives targeting youth may find it helpful to refer to the youth-specific barriers and drivers identified in this policy brief and to prioritize these for testing when planning initiatives targeted at young people.
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Russian Federation
Accessed: 24.09.2019
Training for staff working at DR-TB management centres.
Training modules
The cluster approach is a mechanism that helps to address identified gaps in response and enhance the quality of humanitarian action
A guide to promote health systems strengthening to achieve universal health coverage.
Compilation of country case studies and best practices. World Health Report (2010) Background Paper, 25
To realize Agenda 2030, aid agencies, private philanthropies, and their partners in the Global South need better data to monitor how official development finance (ODF) dollars advance the Sustainable Development Goals (SDGs) and avoid missing the mark. In this report, we summarize the results of a n...ovel effort to tag and analyze 2.7 million ODF projects between 2010-2021 using machine learning to understand their contributions to the SDG thematic areas at a goal
and target level. This time frame is instructive: it compares the last six years of the Millennium Development Goals era and the first six years of the new SDG age, from early optimism to later uncertainty about the resilience of the agenda to drive collective commitments amid unanticipated global shocks.
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