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1
Zambia National Health Strategic Plan 2017-2021
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This document sets out Rwanda's Maternal, Neonatal Child Health (MNCH) national strategy (July 2013- June 2018). The MNCH strategy provides a framework for addressing maternal, neonatal and child health
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challenges currently facing Rwanda. It is an overarching strategy for scale up of the national response to reduce the current levels of maternal, neonatal and child mortality and morbidity in line with the
MDG health related targets and HSSP III targets. The life cycle approach and continuum of care concept, starting with care from the home environment to health facility, guided the development of this roadmap. It aims also to maintain and expand the coverage of cost effective and high impact interventions for maternal, neonatal and child survival in order to achieve national and international targets.
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The National Health Plan (NHP) aims to strengthen the country’s health system and pave the way towards Universal Health Coverage (UHC),choosing a
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path that is explicitly pro-poor. The main goal of NHP 2017-2021 is to extend access to a Basic Essential Package of Health Services (EPHS) to the entire population by 2020 while increasing financial protection.
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This Eye health strategic plan presents the Ministry of Health’s five
year proposed strategies for eye care in Kenya. It sets the strategic
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Health Care System and presents
information on the priorities, objectives and indicators that the
Ministry has adopted especially with regard to the main eye diseases
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People with mental disorders in low-income countries are at risk of being left behind during efforts to expand universal health coverage. Aim is to propose context-relevant strategies for moving towards universal
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health coverage for people with mental disorders in Ethiopia.
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Hum Resour Health 20, 37 (2022). https://doi.org/10.1186/s12960-022-00735-y.
For countries to achieve universal health coverage, they need to have well-functioning and resilient
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health systems. Achieving this requires a sufficient number of qualified health workers and this necessitates the importance of investments in producing and regulating health workers. It is projected that by 2030, Africa would need additional 6.1 million doctors, nurses, and midwives. However, based on the current trajectory, only 3.1 million would be trained and ready for service delivery. To reduce current shortages of the health workforce, Africa needs to educate and train 3.0 million additional health workers by 2030. This study was conducted to describe the distribution and ownership of the health training institutions, production of health workers, and the availability of accreditation mechanisms for training programmes in the WHO African Region.
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People with disabilities experience significant health inequalities. In Malawi, where most individuals live in low-income rural settings, many of these inequalities are exacerbated by restricted access to
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health care services. This qualitative study explores the barriers to health care access experienced by individuals with a mobility or sensory impairment, or both, living in rural villages in Dowa district, central Malawi. In addition, the impact of a chronic lung condition, alongside a mobility or sensory impairment, on health care accessibility is explored.
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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 internation
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al 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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This guide can inform any partner that manages or supports public health supply chains. Ministries of health, technical assistance partners, or non-governmental organization (NGO) operating distribu
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tion systems can all benefit from conducting a costing exercise and can use the material presented in this guide to support their efforts.This guide serves as a companion to the project’s manual for the Supply Chain Costing Tool (SCCT), an Excel-based software application that supports supply chain costing analysis efforts. However, this guide presents a methodology that does not assume use of any particular costing.
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International Journal for Equity in Health 2014, 13:24
