Publications by authors named "Kedest Mathewos"

The COVID-19 pandemic resulted in drops in access to and availability of a number of evidence-based interventions (EBIs) known to reduce under-5 mortality (U5M) across a wide range of countries, including Rwanda. We aimed to understand the strategies and contextual factors associated with preventing or mitigating drops nationally and subnationally, and the extent to which previous efforts to reduce U5M supported the maintenance of healthcare delivery. We used a convergent mixed methods implementation science approach, guided by hybrid implementation research and resiliency frameworks.

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Background: The coronavirus disease 2019 (COVID-19) pandemic led to disruptions of health service delivery in many countries; some were more resilient in either limiting or rapidly responding to the disruption than others. We used mixed methods implementation research to understand factors and strategies associated with resiliency in Rwanda and Bangladesh, focussing on how evidence-based interventions targeting amenable under-five mortality that had been used during the Millennium Development Goal (MDG) period (2000-15) were maintained during the early period of COVID-19.

Methods: We triangulated data from three sources - a desk review of available documents, existing quantitative data on evidence-based intervention coverage, and key informant interviews - to perform a comparative analysis using multiple case studies methodology, comparing contextual factors (barriers or facilitators), implementation strategies (existing from 2000-15, new, or adapted), and implementation outcomes across the two countries.

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The COVID-19 pandemic posed unprecedented challenges and threats to health systems, particularly affecting delivery of evidence-based interventions (EBIs) to reduce under-5 mortality (U5M) in resource-limited settings such as Bangladesh. We explored the level of disruption of these EBIs, strategies and contextual factors associated with preventing or mitigating service disruptions, and how previous efforts supported the work to maintain EBIs during the pandemic. We utilized a mixed methods implementation science approach, with data from: 1) desk review of available literature; 2) existing District Health Information System 2 (DHIS2) in Bangladesh; and 3) key informant interviews (KIIs), exploring evidence on changes in coverage, implementation strategies, and contextual factors influencing primary healthcare EBI coverage during March-December 2020.

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Background: Bangladesh significantly reduced under-5 mortality (U5M) between 2000 and 2015, despite its low economic development and projected high mortality rates in children aged under 5 years. A portion of this success was due to implementation of health systems-delivered evidence-based interventions (EBIs) known to reduce U5M. This study aims to understand how Bangladesh was able to achieve this success between 2000 and 2015.

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Building a resilient system capable of responding to health threats while maintaining essential health service delivery requires health systems to embed implementation research capacity to create the knowledge needed, ensure the affordability and accessibility of health care services at all levels of delivery, and provide the range of services needed to meet the population’s needs.

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The term "decolonization" has been increasingly used to refer to the elimination of the colonial experience and its legacy. However, the use of this overarching term masks the real root of the problem. European countries, whose populations are majority white, used their assumed supremacy as justification for the colonization of current low- and middle-income countries (LMICs) where the majority of non-white people live.

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: We describe the development and testing of a hybrid implementation research (IR) framework to understand the pathways, successes, and challenges in addressing amenable under-5 mortality (U5M) - deaths preventable through health system-delivered evidence-based interventions (EBIs) - in low- and middle-income countries (LMICs). : We reviewed existing IR frameworks to develop a hybrid framework designed to better understand U5M reduction in LMICs from identification of leading causes of amenable U5M, to EBI choice, identification, and testing of strategies, work to achieve sustainability at scale, and key contextual factors. We then conducted a mixed-methods case study of Rwanda using the framework to explore its utility in understanding the steps the country took in EBI-related decision-making and implementation between 2000-2015, key contextual factors which hindered or facilitated success, and to extract actionable knowledge for other countries working to reduce U5M.

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Background: Mistreatment of women during facility-based childbirth is a major violation of human rights and often deters women from attending skilled birth. In Ethiopia, mistreatment occurs in up to 49.4% of mothers giving birth in health facilities.

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The ethical distribution of life-saving medical and public health interventions to vulnerable groups has often been overlooked. Valuation of life linked to an individual's country of origin, the pharmaceutical industry's prioritisation of profit, the exploitation of vulnerable groups in clinical trials, and the resulting hesitancy towards drugs and vaccines have, among other factors, made the human right to health unattainable for many people. The COVID-19 pandemic presents itself as an opportunity to reverse this long-standing trajectory of unethical practices in global health.

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The rapid development of coronavirus disease 2019 (COVID-19) vaccines has not been met with the assurance of an effective and equitable global distribution mechanism. Low-income countries are especially at-risk, with the price of the vaccines and supply shortages limiting their ability to procure and distribute the vaccines. While the COVAX initiative is one of the solutions to these challenges, vaccine nationalism has resulted in the hoarding of vaccines and the signing of parallel bilateral deals, undermining this formerly promising initiative.

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