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Publication Years
1399
2656
411
29
Category
1467
439
253
166
151
71
65
4
2
Toolboxes
585
449
322
273
269
244
187
165
130
101
79
66
66
64
64
58
55
47
41
32
28
26
3
1
1
1
Contraceptive Dynamics Following HIV Testing - DHS Analytical Studies No. 47
MacQuarrie, Kerry L.D., Sarah E.K. Bradley, Alison Gemmill, and Sarah Staveteig
Rockville, Maryland, USA: ICF International
(2014)
CC
Contraceptive Dynamics Following HIV Testing
Key Populations Brief
Accessed November 2017
Mobile Populations
M. Smelyanskaya, J. Duncan (The Focus Group Consulting); C. Daniels, et al.
Stop TB Partnership; UNOPS; END TB
(2015)
C1
Key populations brief.
DHS Analytical Studies No. 39
2006-2008 programme report
Antiretroviral treatment outcomes from a nurse-driven, community-supported HIV/AIDS treatment programme in rural Lesotho: observational cohort assessment at two years
Cohen, R., Sharonann, L., Bygrave, H., et al
Journal of the International AIDS Society (JIAS)
(2009)
CC
This document is written for local and international staff running nutrition programmes in emergencies, and for local, regional and national authorities and donors involved in such programmes.
The note explains why nutrition programmes need to include early childhood development (ECD) activities t
...
o maximize the child’s development.
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This document is also available in Arabic: http://www.who.int/mental_health/emergencies/ecd_why_what_how_arabic.pdf?ua=1
;and in French: http://www.who.int/mental_health/emergencies/ecd_why_what_how_french.pdf?ua=1
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A community-based approach.
These guidelines focus on manmade rather than natural disasters, but our experiences in India, El Salvador and Pakistan (earthquake interventions), and following the 2004 tsunami, cyclone Nargis in 2008 and the Haiti earthquake in 2010, showed that the principles describ
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ed also work well in contexts of natural disasters.
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The recommendations in this guideline are intended to inform the development of relevant national- and local-level health policies and clinical protocols. Therefore, the target audience includes national and local public health policy-makers, implementers and managers of maternal and child health pr
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ogrammes, health care facility managers, nongovernmental organizations (NGOs), professional societies involved in the planning and management of maternal and child health services, health care professionals (including nurses, midwives, general medical practitioners and obstetricians) and academic staff involved in training health care professionals.
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UNICEF Strategic Plan 2018-2021. Draft Theory of Change Paper
The Demographic Dividend study on Rwanda assessed the socio-economic and human development potential of our country in the short, medium and long-term period using a comprehensive approach. It generated relevant policy and programme information to guide a well-informed polciy required to propel Rwan
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da towards achieving its aspirations of being high middle income country by 2035 and high income country by 2050.
The primary objectives of this study were to assess Rwanda’s prospects for harnessing the demographic dividend and demonstrate priority policy and programme options that the country should adopt in order to optimise its chances of earning a maximum demographic dividend in the context of its youthful population and medium, long-term socio-economic development aspirations.
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The aim of the Annual Inspection Report is to present findings of public sector health establishments inspected by the OHSC to monitor compliance with the National Core Standards (NCS) during the 2016/2017 financial year in South Africa.
The NCS define fundamentals for quality of care based on six
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dimensions of quality: Acceptability,Safety, Reliability, Equity, Accessibility, and Efficiency.
The NCS structured assessment tools were used to collect data during inspections across the seven domains namely: Patient Rights; Patient Safety, Clinical Governance and Clinical Care; Clinical Support Services; Public Health; Leadership and Governance; Operational Management and Facilities and Infrastructure. A total of 851 routine inspections were conducted with 201 of these facilities re-inspected. Inspection data was captured on District Health Information System (DHIS) data entry forms and exported for analysis to Statistical Analysis Software (SAS) version 9.4.
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