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This manual is designed to provide comprehensive malaria case management training for health workers at all levels, including clinical, nursing, dispensing, laboratory and records staff. The training covers the use
...
of malaria rapid diagnostic tests (RDTs) and the treatment of severe malaria. The five-day training programme includes interactive modules supported by job aids. The ideal group size is 20–30 participants, supported by a team of three trainers. Trainers should thoroughly review the manual, including the 'Adult Learning Techniques' module, and follow the 'Facilitator's Guide', while participants should use the 'Simplified Participant's Guide'. The training includes pre- and post-tests to assess knowledge improvement. Continuing Medical Education (CME) is encouraged after the training, and resources are provided in the appendix.
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Climate Smart Agriculture provides an excellent opportunity for the transformation by uniting agriculture, development and climate change under a common agenda through integrating the three dimensions of sustainable development (economic, social and
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environmental) by jointly addressing food security and climate challenge
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The Kenya Climate Smart Agriculture Implementation Framework 2018-2027 (KCSAIF) has been developed to provide a guide to various innovative and transformative initiatives and best practices that will strive to address challenges brought about by cli
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mate change. It is envisioned to ensure increased agricultural productivity and sustainably build resilience of the national agricultural systems.
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Fourth Edition
UGANDA NATIONAL TUBERCULOSIS AND LEPROSY CONTROL PROGRAMME
This study is a theory-driven analysis of the socio-demographic determinants of maternal care seeking in Kenya. Specifically, it examines predispos
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ing, enabling, and need factors potentially associated with use of antenatal care (ANC), health facility delivery, and timely postnatal care (PNC).This study uses data from the 2014 Kenya Demographic and Health Survey (KDHS) conducted among women age 15-49 with a live birth in the five years preceding the survey. It includes data from all 47 counties of Kenya, grouped contiguously into 12regions.We apply Andersen’s Behavioral Model of Health Services Use to examine socio-demographic predictors of health service use.We estimate logistic regression models for adequate use of ANC (defined as attending at least four ANC visits, starting in the first three months of pregnancy), delivery in a health facility, and PNC within 48 hours of delivery.
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In Kenya, 12.7 percent of sick Kenyans do not seek health care when they are ill with high cost of
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services being one of the major barriers that accounted for upto 21 percent of those who did not seek care in 2013. Further, 2.6 million Kenyans (6.2 percent) of households were at risk of impoverishment as a consequence of expenditure on health care depleting household savings and were at a risk of falling into poverty (Republic of Kenya 2015b).
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