Author
Demissie Habte
Other affiliations: World Bank Institute
Bio: Demissie Habte is an academic researcher from World Bank. The author has contributed to research in topics: Human resources & Workforce. The author has an hindex of 4, co-authored 5 publications receiving 1778 citations. Previous affiliations of Demissie Habte include World Bank Institute.
Papers
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Harvard University1, World Health Organization2, University of Oxford3, New York University4, Cayetano Heredia University5, World Bank Institute6, National Institutes of Health7, World Bank8, University of Cape Town9, Makerere University10, University of Chile11, Thailand Ministry of Public Health12
TL;DR: This analysis of the global workforce proposes that mobilisation and strengthening of human resources for health, neglected yet critical, is central to combating health crises in some of the world's poorest countries and for building sustainable health systems in all countries.
1,402 citations
TL;DR: The global community needs to engage in four core strategies: raise the profile of the issue of human resources; improve the conceptual base and statistical evidence available to decision makers; collect, share, and learn from country experiences; and begin to formulate and enact policies at the country level that affect all aspects of the crisis.
280 citations
University of California, San Francisco1, University of Washington2, RTI International3, World Bank Group4, Stanford University5, Harvard University6, University of California, Berkeley7, Aga Khan University8, Johns Hopkins University9, Bill & Melinda Gates Foundation10, World Health Organization11, University of Kelaniya12, Kwame Nkrumah University of Science and Technology13, University of Oxford14, Cayetano Heredia University15, Brigham and Women's Hospital16, University of Toronto17, National Institutes of Health18, Center for Global Development19, University of the Witwatersrand20, University of Waterloo21, UNICEF22, University of Miami23, Makerere University24, University of Cambridge25, Center for Disease Dynamics, Economics & Policy26, University of Malaya27, Princeton University28, Praxis29, University of London30, University of the Philippines Manila31, University of Bergen32, University of Ibadan33, University of Melbourne34, Public Health Foundation of India35, Koç University36, International Agency for Research on Cancer37, Yale University38, The George Institute for Global Health39
TL;DR: DCP3 is particularly relevant as achievement of EUHC relies increasingly on greater domestic finance, with global developmental assistance in health focusing more on global public goods.
148 citations
Journal Article•
TL;DR: Key issues facing the workforce in sub-Saharan Africa are summarized and a framework to develop strategies to address them is outlined.
Abstract: Sub-Saharan Africa and the international health community face a daunting challenge to deal with an extraordinary disease burden and improve the health status of Africans. Despite decades of effort to provide effective, equitable and affordable health care services, the health indices of Africans have stagnated and in some instances have deteriorated. Africa is the only continent that has not fully benefited from recent advances in biomedical sciences that brought health tools and technologies to tackle most of the disease burden. The emergence of the HIV/AIDS epidemic has confounded the health scene and posed further challenges. Several factors are responsible for this state of affairs: macro factors, that represent the broader socio-cultural environment that impact on health, and micro factors, which are largely health sector specific. There is increasing recognition that the major limiting factor to improved health outcomes is not lack of financial resources or health technologies but the lack of implementation capacity which depends on the presence of a functional health system. The drivers and architects of this are health workers, 'the most important of the health system's input'. The Commission on Macroeconomics and Health advocates a greatly increased investment in health rising in low income countries to a per capita expenditure of US $34 per year and states that the problem in implementing this recommendation is not difficulty in raising funds but the capacity of the health sector itself to absorb the increased flow. Yet, until fairly recently sufficient attention has not been directed to the role of the health workforce. The failure to develop and deploy an appropriate and motivated health workforce, and the environment necessary for the workforce to perform optimally is clearly a critical determinant of the health status of Africans. This paper summarizes key issues facing the workforce and outlines a framework to develop strategies to address them.
41 citations
Cited by
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Harvard University1, China Medical Board2, Aga Khan University3, Washington University in St. Louis4, Cayetano Heredia University5, Peking University6, National Health Laboratory Service7, University of Pennsylvania8, University of Toronto9, Rockefeller Foundation10, Public Health Foundation of India11, The Sage Colleges12, Bill & Melinda Gates Foundation13, Makerere University14, American University of Beirut15
TL;DR: In this article, the authors present a comprehensive framework that considers the connections between education and health systems, centred on people as co-producers and as drivers of needs and demands in both systems.
4,215 citations
TL;DR: A measure of dependence for two-variable relationships: the maximal information coefficient (MIC), which captures a wide range of associations both functional and not, and for functional relationships provides a score that roughly equals the coefficient of determination of the data relative to the regression function.
Abstract: Identifying interesting relationships between pairs of variables in large data sets is increasingly important. Here, we present a measure of dependence for two-variable relationships: the maximal information coefficient (MIC). MIC captures a wide range of associations both functional and not, and for functional relationships provides a score that roughly equals the coefficient of determination (R2) of the data relative to the regression function. MIC belongs to a larger class of maximal information-based nonparametric exploration (MINE) statistics for identifying and classifying relationships. We apply MIC and MINE to data sets in global health, gene expression, major-league baseball, and the human gut microbiota and identify known and novel relationships.
2,414 citations
Harvard University1, New York University2, World Bank3, Mexican Social Security Institute4, Wellcome Trust5, Inter-American Development Bank6, University of Ibadan7, Northwestern University8, Bill & Melinda Gates Foundation9, Malawi University of Science and Technology10, University of London11, Duke University12, University of Bergen13, Public Health Foundation of India14, Centers for Disease Control and Prevention15, Stanford University16, Kathmandu17
TL;DR: High-quality health systems in the Sustainable Development Goals era: time for a revolution.
1,434 citations
Harvard University1, World Health Organization2, University of Oxford3, New York University4, Cayetano Heredia University5, World Bank Institute6, National Institutes of Health7, World Bank8, University of Cape Town9, Makerere University10, University of Chile11, Thailand Ministry of Public Health12
TL;DR: This analysis of the global workforce proposes that mobilisation and strengthening of human resources for health, neglected yet critical, is central to combating health crises in some of the world's poorest countries and for building sustainable health systems in all countries.
1,402 citations