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Publication Years
2310
4571
652
25
4
Category
3037
469
458
435
396
175
46
3
Toolboxes
628
615
496
358
350
301
219
203
191
175
163
141
133
132
110
104
93
91
89
85
42
41
41
34
28
4
2
After introducing Ethiopia's WASH sector challenges and trends, the plan describes IRC Ethiopia's vision and strategy which draws from IRC and Water For People's joint framework - Destination 2030. It then details the organisational changes and busi
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ness development needed to implement the strategic plan. Detailed targets are provided in the annexes.
At IRC, we believe that turning on a working tap should not be a surprise or cause for celebration. We believe in a world where water, sanitation and hygiene services are fundamental utilities that everyone is able to take for granted. For good.
We face a complex challenge. Every year, thousands of projects within and beyond the WASH sector fail – the result of short-term targets and interventions, at the cost of longterm service solutions.
This leaves around a third of the world’s poorest people without access to the most basic of human rights, and leads directly to economic, social and health problems on a global scale. IRC exists to continually challenge and shape the established practices of the WASH sector.
Through collaboration and the active application of our expertise, we work with governments, service providers and international organisations to deliver systems and services that are truly built to last.
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Acclerating attainment of universal health coverage and bridging the access inequity gap
The Human Resources for Health policy (HRH) will provide guidelines and the direction toward strengthening the planning, management, utilization and monitoring of
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health sector human resources; not forgetting responses to the contemporary challenges and developments in the sector including the mobility and motivation of human resources; and advancements in technology.
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The objectives of the scheme is to promote cleanliness, hygiene and infection control practices in public health care facilities, to incentivize and recognize such public healthcare facilities that show exemplary performance in adhering to standard
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protocols of cleanliness and infection control, to inculcate a culture of ongoing assessment and peer review of performance related to hygiene, cleanliness and sanitation, to create and share sustainable practices related to improved cleanliness in public health facilities linked to positive health outcomes.
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Zambia has about 1.2 physicians, nurses, and midwives per 1000 population while the minimum acceptable density threshold is 2.3 per 1000 population. The estimated shortage of doctors, nurses and midwives in Zambia is about 14,960. However, with the projected population growth the deficit more than d
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oubles disproportionately to, 25,849 in 2020, and 46,549 in 2035, at the current rate of HRH production. Worryingly, the human resources for health crisis has persisted for over 20 years. The efforts before and leading up to the development and implementation of the 2013 – 2016 National Training Operational Plan (NTOP) and the National Human Resources for Health Strategic Plan (2011 – 2016) yielded certain achievements, however, the HRH numbers and skill-mix gap remained disturbingly enormous.
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Equity and Quality in Health: a People's Right
The Policy Framework for Artificial Intelligence in Tanzania's Health Sector was developed through collaboration between multiple stakeholders, including government bodies, academic institutions, no
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n-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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