Self-care interventions are among the most promising and exciting new approaches to improve health and well-being, both from a health systems perspective
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and for people who use these interventions. The World Health Organization (WHO) uses the following working definition of self-care: Self-care is the ability of individuals, families and communities to promote health, prevent disease, maintain health, and cope with illness and disability with or without the support of a health- care provider
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Self-care interventions are among the most promising and exciting new approaches to improve health and well-being, both from a health systems perspective
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and for people who use these interventions.
The World Health Organization (WHO) uses the following working definition of self-care: Self-care is the ability of individuals, families and communities to promote health, prevent disease, maintain health, and cope with illness and disability with or without the support of a health worker. The scope of self-care as described in this definition includes health promotion; disease prevention and control; self-medication; providing care to dependent persons; seeking hospital/specialist/primary care if necessary; and rehabilitation, including palliative care. It includes a range of self-care modes and approaches. While this is a broad definition that includes many activities, it is important for health policy to recognize the importance of self-care, especially where it intersects with health systems and health professionals.
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A global shortage of an estimated 18 million health workers is anticipated by 2030, a record 130 million people are in need of humanitarian assistance, and there is the global threat of pandemics such as COVID-19. At least 400 million people worldwi
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de lack access to the most essential health services, and every year 100 million people are plunged into poverty because they have to pay for healthcare out of their own pockets. There is, therefore, an urgent need to find innovative strategies that go beyond the conventional health-sector response.
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For health care providers.
Sub-Saharan Africa has the highest maternal mortality in the world. According to estimates by the United Nations Maternal Mortality Estimation Inter-Agency Group (UN MMEIG)1 in September 2017, while the African Region had recorded a significant decline in maternal mortali
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ty rate (MMR) of 37.8% between 2000 and 2017, 66% of the 295 000 maternal deaths reported globally occurred in sub-Saharan Africa. The African Region is also noted to have an extremely high MMR, estimated at 542 per 100000 livebirths, with an average annual rate of reduction of 2.9%.
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3ie Impact Evaluation Report 39
Submitted to the US Agency for International Development by the Systems for Improved Access to Pharmaceuticals and Services (SIAPS) Program. Arlington, VA: Management Sciences for Health. Submitted to the United Nations Children’s Fund by JSI, Arl
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ington, VA: JSI Research & Training Institute, Inc.
This guide will assist program managers, service providers, and technical experts when conducting a quantification of commodity needs for the 13 reproductive, maternal, newborn, and child health commodities prioritized by the UN Commission on Life-Saving Commodities for Women and Children. This quantification supplement should be used with the main guide—Quantification of Health Commodities: A Guide to Forecasting and Supply Planning for Procurement. * This supplement describes the steps in forecasting consumption of these supplies when consumption and service data are not available; after which, to complete the quantification, the users should refer to the main quantification guide for the supply planning step.
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PLOS ONE | www.plosone.org
September 2014 | Volume 9 | Issue 9 | e103657
DHS Methodological Report No. 20
This study used Service Provision Assessment (SPA) and Demographic and Health Survey (DHS) data from Haiti, Malawi,
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and Tanzania to compare traditionally used additive methods with a data reduction method—principal component analysis (PCA).
We scored the quality of health facilities with three approaches (simple additive, weighted additive, and PCA) for two constructs: quality of services, with only facilities-level data, and quality of care, which incorporates observation and client data. We ranked facilities as high, medium, or low quality based on their scores. Our results indicated that the rankings change with the scoring methodology. There was more consistency in the rankings of facilities by the simple additive and PCA methods than the weighted additive and PCA-based rankings. This may be due to the low factor loadings and little variance explained by the first component in the PCA. We aggregated facility scores to their respective DHS clusters (Haiti, Malawi) or regions (Tanzania) and geographically linked them to women interviewed in DHS surveys to test associations between the use of family planning services and the quality environment, as measured with each index.
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This global progress report attempts to lay the groundwork for the kind of accelerated action needed. Section 1 presents key data, trends and developments in women’s, children’s and adolescents
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health and well-being. That is followed in Section 2 by a deeper dive into the impact of the COVID-19 pandemic, which has created and contributed to many threats and challenges to progress for women, children and adolescents. In Section 3, the report concludes with recommendations for accelerating progress towards the achievement of the 2030 Agenda even in such challenging times, with an emphasis on partnership
and clear-eyed recognition of the consequences of failing to do better.
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Updated to Reflect the 2009 Medical Eligibility Criteria of the World Health Organization
Further Analysis of the 2011 Ethiopia Demographic and Health
Survey. DHS Further Analysis Reports No. 82