scholarly journals Gender inequities and global health outcomes

Author(s):  
Dominic E Madell ◽  
Brooke P Hayward
2021 ◽  
Author(s):  
Michael D Owens ◽  
Franck A Nzumba

ABSTRACT Language and cultural barriers are associated with poor health outcomes. Communication is arguably the most important variable associated with a successful educational and training Global Health Engagement (GHE) and often unrecognized even when attempts are made to address this barrier. Madagascar’s GHE activity improved after the addition of local Malagasy translation to fully translated official French instruction.


2021 ◽  
pp. 1-21
Author(s):  
Emma-Louise Anderson ◽  
Laura Considine ◽  
Amy S. Patterson

Abstract Trust between actors is vital to delivering positive health outcomes, while relationships of power determine health agendas, whose voices are heard and who benefits from global health initiatives. However, the relationship between trust and power has been neglected in the literatures on both international politics and global health. We examine this relationship through a study of relations between faith based organisations (FBO) and donors in Malawi and Zambia, drawing on 66 key informant interviews with actors central to delivering health care. From these two cases we develop an understanding of ‘trust as belonging’, which we define as the exercise of discretion accompanied by the expression of shared identities. Trust as belonging interacts with power in what we term the ‘power-trust cycle’, in which various forms of power undergird trust, and trust augments these forms of power. The power-trust cycle has a critical bearing on global health outcomes, affecting the space within which both local and international actors jockey to influence the ideologies that underpin global health, and the distribution of crucial resources. We illustrate how the power-trust cycle can work in both positive and negative ways to affect possible cooperation, with significant implications for collective responses to global health challenges.


2020 ◽  
Vol 5 (12) ◽  
pp. e002938
Author(s):  
Austin Carter ◽  
Nadia Akseer ◽  
Kevin Ho ◽  
Oliver Rothschild ◽  
Niranjan Bose ◽  
...  

This paper introduces a framework for conducting and disseminating mixed methods research on positive outlier countries that successfully improved their health outcomes and systems. We provide guidance on identifying exemplar countries, assembling multidisciplinary teams, collecting and synthesising pre-existing evidence, undertaking qualitative and quantitative analyses, and preparing dissemination products for various target audiences. Through a range of ongoing research studies, we illustrate application of each step of the framework while highlighting key considerations and lessons learnt. We hope uptake of this comprehensive framework by diverse stakeholders will increase the availability and utilisation of rigorous and comparable insights from global health success stories.


2017 ◽  
Vol 37 (3-4) ◽  
pp. 139-149 ◽  
Author(s):  
Emma Sacks ◽  
Robert C. Swanson ◽  
Jean J. Schensul ◽  
Anna Gleave ◽  
Katharine D. Shelley ◽  
...  

2018 ◽  
Vol 3 (4) ◽  
pp. e000798 ◽  
Author(s):  
Brian Wahl ◽  
Aline Cossy-Gantner ◽  
Stefan Germann ◽  
Nina R Schwalbe

The field of artificial intelligence (AI) has evolved considerably in the last 60 years. While there are now many AI applications that have been deployed in high-income country contexts, use in resource-poor settings remains relatively nascent. With a few notable exceptions, there are limited examples of AI being used in such settings. However, there are signs that this is changing. Several high-profile meetings have been convened in recent years to discuss the development and deployment of AI applications to reduce poverty and deliver a broad range of critical public services. We provide a general overview of AI and how it can be used to improve health outcomes in resource-poor settings. We also describe some of the current ethical debates around patient safety and privacy. Despite current challenges, AI holds tremendous promise for transforming the provision of healthcare services in resource-poor settings. Many health system hurdles in such settings could be overcome with the use of AI and other complementary emerging technologies. Further research and investments in the development of AI tools tailored to resource-poor settings will accelerate realising of the full potential of AI for improving global health.


2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Rose L. Molina ◽  
Jennifer Kasper

Abstract We live in a world of incredible linguistic diversity; nearly 7000 languages are spoken globally and at least 350 are spoken in the United States. Language-concordant care enhances trust between patients and physicians, optimizes health outcomes, and advances health equity for diverse populations. However, historical and contemporary trauma have impaired trust between communities of color, including immigrants with limited English proficiency, and physicians in the U.S. Threats to informed consent among patients with limited English proficiency persist today. Language concordance has been shown to improve care and serves as a window to broader social determinants of health that disproportionately yield worse health outcomes among patients with limited English proficiency. Language concordance is also relevant for medical students engaged in health care around the world. Global health experiences among medical and dental students have quadrupled in the last 30 years. Yet, language proficiency and skills to address cultural aspects of clinical care, research and education are lacking in pre-departure trainings. We call on medical schools to increase opportunities for medical language courses and integrate them into the curriculum with evidence-based teaching strategies, content about health equity, and standardized language assessments. The languages offered should reflect the needs of the patient population both where the medical school is located and where the school is engaged globally. Key content areas should include how to conduct a history and physical exam; relevant health inequities that commonly affect patients who speak different languages; cultural sensitivity and humility, particularly around beliefs and practices that affect health and wellbeing; and how to work in language-discordant encounters with interpreters and other modalities. Rigorous language assessment is necessary to ensure equity in communication before allowing students or physicians to use their language skills in clinical encounters. Lastly, global health activities in medical schools should assess for language needs and competency prior to departure. By professionalizing language competency in medical schools, we can improve patients’ trust in individual physicians and the profession as a whole; improve patient safety and health outcomes; and advance health equity for those we care for and collaborate with in the U.S. and around the world.


2011 ◽  
Vol 89 (7) ◽  
pp. 478-486 ◽  
Author(s):  
Barry B Hughes ◽  
Randall Kuhn ◽  
Cecilia M Peterson ◽  
Dale S Rothman ◽  
José R Solórzano ◽  
...  

2019 ◽  
Vol 8 (2S11) ◽  
pp. 3832-3836

In the system of healthcare functioning well the data is very important factor. In the countries around the globe in the development of infrastructures of data over the past few years the huge strides have been made. To promote better health outcomes and to improve programs on the need to use this data the global health professionals place enhancing the pressure. Across the planet to support health systems to emphasis on data is emerging like a huge source of available data. It can say as the tsunami of data in both extent and scope. Due to sheer scale of this massive wave of information it is a challenging task to improve public health and support.


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