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297
266
266
243
211
169
168
135
134
115
111
98
73
62
53
49
40
7
2
Second interim report to the SMAC program, DFID Freetown
This report provides further output from an anthropological study of 25 villages affected by Ebola Virus Disease in eastern and central Sierra Leone, undertaken as part of the DFID-funded soc
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ial mobilization initiative for Ebola prevention in Sierra Leone. Eight focus group transcripts for 3 villages in Kenema District are presented, covering local responses to health issues, and Ebola in particular. Supporting material from a matching questionnaire-based study of health behavior and perceived causes of Ebola is also provided. Of particular relevance are two summary tables aggregating the questions villagers asked survey teams about Ebola and quarantine-related issues in villages where the epidemic has in effect ceased to be active
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The growing problem of child marriage among Syrian girls in Jordan
AIDS Free Nigeria Training Manual
The Boston Medical Center Patient Navigation Toolkit
The Boston Medical Center AVON Foundation for Women
The Boston Medical Center AVON Foundation for Women
(2020)
C1
This toolkit is designed to help you plan and implement a Patient Navigation program with the best chance of reducing health disparities and improving health outcomes for your patients. It contains evidence-based and experience-based examples, case
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studies, practical tools, and resources to help you:
1. Establish an evidence-based patient navigation program tailored to reduce barriers for your patients
2. Incorporate best practices to enhance current patient navigation programs or services
3. Implement a patient navigation model to address any targeted medical condition
where disparities exist
4. Hire, prepare, supervise, support and retain effective Patient Navigators
5. Navigate patients who experience health disparities
6. Evaluate patient navigation programs with the aim of continuous quality
improvement
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A Toolkit for Implementation. Module 2: Facilitator’s guide to the orientation workshop on the IFC framework;
Cities are uniquely positioned to understand local needs and respond rapidly to changing conditions to safeguard health. These changes require stro
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ng city leadership to implement multisectoral, health-relevant policies and public services that engage communities. The response to malaria must be an integral part of such policies and processes.
This framework supports the control and elimination of malaria in urban environments. It provides guidance for city leaders, health programmes and urban planners as they respond to the challenges of rapid urbanization in a targeted way. For each urban context, the strategic use of data can inform effective, tailored responses and help build resilience against the threat of malaria and other vector-borne diseases.
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A people-centred model of TB care (Russian edition)
World Health Organization Europe; Stop TB Partnership; ERS; et al.
Всемирная организация здравоохранения
(2017)
C_WHO
Blueprint for EECA countries, first edition
МОДЕЛЬ ПРОТИВОТУБЕРКУЛЕЗНОЙ ПОМОЩИ, ОРИЕНТИРОВАННАЯ НА НУЖДЫ ЛЮДЕЙ
Концептуальный проект модели для стран Восточной Европы и Центрально
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й Азии, первое издание
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2006-2008 programme report
The Newborn Situational Analysis reports of 2009 and 2011, as well as the “Bottleneck analysis on neonatal health” of 2013, culminated in the Nigeria launch of “Call to action on Newborn health” at the first National Newborn Health Conferenc
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e in 2014. This call to action provided the framework for the development of the Nigeria Every Newborn Action
Plan (NiENAP). The NiENAP lays out a vision to end preventable stillbirths and newborn deaths by accelerating progress and scaling up evidence- based high-impact and cost effective interventions. The plan is guided by the principles of country-leadership, integration, accountability, equity, human rights, innovation and research. This blue print outlines our commitment as government and stakeholders to repositioning newborn health as we implement approaches that impact on the lives of newborns for improved health outcome.
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