The Interim Guidance for Risk Communication and Community Engagement (RCCE) outlines recommendations, considerations and methods to raise awareness, manage risk perception, maintain trust and proactively support people at risk to make informed decisions to protect themselves and others from monkeypo...x. The guidance includes recommendations on identifying and communicating with affected populations and key audiences and avoiding stigma in communications outreach. It also includes key messages about symptoms of monkeypox, transmission, prevention measures, and communicating about uncertainty. This document also provides RCCE guidance for managers and planners of gatherings and events, where close physical contact may create an environment conducive for the transmission of monkeypox. Additionally, this document includes a compendium of recommendations for RCCE methods and resources to support the monkeypox response.
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Expert opinion of the European Tuberculosis Laboratory Initiative core group members for the WHO European Region.
Примеры надлежащей практики в области укрепления систем здравоохранения с целью профилактики и лечения туберкулеза и лекарственно-устойчивого туберкулеза
As our world changes, so too does the burden of disease. Globalisation, evolving trade and consumption patterns, and increased access to life-saving medical care are just some of the factors that have transformed the global health landscape.
A toolkit for behavioural and social communication in outbreak response
One important application of digital health in TB patient care is the support that it can lend to medication adherence. TB programmes have already been using short message service (SMS), video-supported treatment (VOT) and event monitoring device for medication support ...(EMM)1 to help patients complete treatment and health-care workers to monitor both daily dosing and treatment continuity
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Information note.
This information note provides a strategic overview of key implementation considerations for diagnostic integration using these devices, and is primarily intended for use by national laboratory services and TB, HIV, and hepatitis programme managers.
It may also be of inte...rest to managers of maternal, newborn and child health programmes and sexual and reproductive health programmes, international and bilateral agencies, and organizations that provide financial and technical support to the relevant national health programmes.
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In the mid-1980s, recognizing the limitations of traditional training and that the knowledge and skills acquired are not necessarily applied back in the workplace, MSH developed the Monitoring‐Training-Planning (MTP) approach to assist the Ecuadorian Ministry of Health to implement its Child Survi...val Program. Using the MTP approach, staff me
mbers learn to mobilize their own resources and to improve, incrementally, the management of medicines and other pharmaceuticals at their own facility.
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In resource restriced countries
The BBV/STI Glossary is a resource for interpreters, translators and others who work in a health setting. It offers an extensive list of English terms related to sexual health and blood-borne viruses (such as hepatitis), with easy to understand definitions.
Accessed 13th of November 2015.
In-and Out-Patient Treatment
The Policy Framework for Artificial Intelligence in Tanzania's Health Sector was developed through collaboration between multiple stakeholders, including government bodies, academic institutions, non-governmental organisations (NGOs) and international partners. The framework demonstrates Tanzania’...s dedication to utilising digital technologies and AI to enhance healthcare delivery, facilitate data-driven decision-making, and bolster the resilience of the healthcare system. Although AI integration in Tanzania’s health sector is still in its infancy, a growing number of initiatives are highlighting its potential in clinical care, research, and system management. The Ministry of Health, in collaboration with partners including the President’s Office (PORALG), Fondation Botnar, MUHAS, UDOM and PATH, has spearheaded this initiative with the aim of using AI to minimise errors, improve clinical outcomes and boost the efficiency of the health system.
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