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      Addressing Healthcare Gaps in Sweden during the COVID-19 Outbreak: On Community Outreach and Empowering Ethnic Minority Groups in a Digitalized Context

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          Abstract

          Since its early stages, the COVID-19 pandemic has interacted with existing divides by ethnicity and socioeconomic statuses, exacerbating further inequalities in high-income countries. The Swedish public health strategy, built on mutual trust between the government and the society and giving the responsibility to the individual, has been criticized for not applying a dedicated and more diverse strategy for most disadvantaged migrants in dealing with the pandemic. In order to mitigate the unequal burden on the marginalized members of society, increasing efforts have been addressed to digital health technologies. Despite the strong potential of providing collective public health benefits, especially in a highly digitalized context as Sweden, need for a stronger cooperation between the public health authorities and migrant community leaders, representatives of migrant associations, religious leaders and other influencers of disadvantaged groups has emerged. Suggestions are presented on more culturally congruent, patient-centered health care services aimed to empower people to participate in a more effective public health response to the COVID-19 crisis.

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          Health equity and COVID-19: global perspectives

          The COVID-19 is disproportionally affecting the poor, minorities and a broad range of vulnerable populations, due to its inequitable spread in areas of dense population and limited mitigation capacity due to high prevalence of chronic conditions or poor access to high quality public health and medical care. Moreover, the collateral effects of the pandemic due to the global economic downturn, and social isolation and movement restriction measures, are unequally affecting those in the lowest power strata of societies. To address the challenges to health equity and describe some of the approaches taken by governments and local organizations, we have compiled 13 country case studies from various regions around the world: China, Brazil, Thailand, Sub Saharan Africa, Nicaragua, Armenia, India, Guatemala, United States of America (USA), Israel, Australia, Colombia, and Belgium. This compilation is by no-means representative or all inclusive, and we encourage researchers to continue advancing global knowledge on COVID-19 health equity related issues, through rigorous research and generation of a strong evidence base of new empirical studies in this field.
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            The COVID-19 pandemic: The ‘black swan’ for mental health care and a turning point for e-health

            In February 2020, Duan and Zhu (2020) stressed the need for a solid Chinese evidence-based mental health care system in times of public health emergencies such as the outbreak of the Coronavirus disease-2019 (COVID-19). That would enable treatment of people who suffer from mental health problems in relation to the epidemic. The WHO has meanwhile labelled the Coronavirus a pandemic, and it is now hitting Europe, the USA, and Australia hard as well. In an attempt to reduce the risk of infections, many mental health care providers in afflicted countries are currently closing their doors for patients who need ambulatory face-to-face therapy. They are simultaneously trying to replace some of these contacts with digital therapies. Most probably, European mental health care institutions have yet to experience the full impact of the coronavirus crisis. At the same time, the demand for mental health care among infected patients and their relatives is expected to rise (Blumenstyk, 2020). Levels of anxiety will increase, both through direct causes including fears of contamination, stress, grief, and depression triggered by exposure to the virus, and through influences from the consequences of the social and economic mayhem that is occurring on individual and societal levels. We expect that this “black swan” moment (Blumenstyk, 2020) - an unforeseen event that changes everything - will lead to a partly, though robust, shift in mental health care provision towards online prevention, treatment, and care in the near future. We also need to consider the role of psychological processes and fear that may cause further harm on top of the pandemic (Asmundson and Taylor, 2020). The obvious solution to continue mental health care within a pandemic is to provide mental health care at a ‘warm’ distance by video-conferencing psychotherapy and internet interventions. A systematic review showed that videoconferencing psychotherapy show promising results for anxiety and mood disorders (Berryhill et al., 2019), and the evidence-base for therapist-guided internet interventions is even stronger (Andersson, 2016). Yet, despite two decades of evidence-based e-mental health services, numerous barriers have stalled the overall implementation in routine care thus far (Vis et al., 2018; Tuerk et al., 2019). One of the most important barriers highlighted, however, has been that e-mental health has not been integrated as a normal part of routine care practice due to the lack of acceptance by health professionals themselves (Topooco et al., 2017). Myths on telehealth such as “the therapeutic alliance can only be established face-to-face” have dominated the field, in spite of research showing the opposite (Berger, 2017). In that sense, learning curves in the adoption of new e-mental health technologies by both patients and psychologists have progressed far more slowly than initially expected, thus tallying with the estimate that it takes on average16 years for a health care innovation to be implemented (Rogers et al., 2017). There are however exceptions in the world but progress is still slow. In the Netherlands and elsewhere, we are now witnessing a phenomenon whereby the outbreak of COVID-19 is hastening managers, ICT-staff, and clinicians to overcome all such barriers overnight, from a pragmatic standpoint seldom seen before. The virus seems a greater catalyst for the implementation of online therapy and e-health tools in routine practice than two decades of many brilliant, but failed, attempts in this domain (Mohr et al., 2018). After all, since predictions about COVID-19 are largely unclear as of yet, it is now time to create a longer-term solution to the problem of heterogeneous patient populations, such as those still active in the community and those that are house-bound or isolated in hospitals. Videoconferencing and internet interventions could therefore be very helpful in mental health care, as well as in physical care and can be easily upscaled to serve isolated regions and reach across borders. Thus, the “black swan virus” has already enabled wide-scale acceptance of videoconferencing by health professionals and patients alike – creating a win-win situation for both. We should stress that e-mental health applications hold value far beyond the provision of videoconferencing psychotherapy in the current situation of crisis. Countries hit by the Corona virus may also consider adopting a wider public e-mental health approach, which would focus additionally on prevention and on reaching people at risk for mental health disorders. In this respect, not only guided but also fully self-guided interventions, such as self-help apps or online therapeutic modules, could also be applied in settings and countries with scarce mental health resources (Christiani and Setiawan, 2018). We should also consider the need for treatment development (for the psychological problems caused by corona virus isolation), which is by far more rapid in the field of internet interventions than in traditional psychotherapy (Andersson et al., 2018). It is likely that the response to this emergency will be more than a temporary increase in online work (Blumenstyk, 2020). Once mental health care institutions have developed the capabilities of serving their patients via videoconferencing and other digital technologies, there is little reason for them to give these up, in view of the many advantages (Blumenstyk, 2020; Tuerk et al., 2019). This black swan should be a call for action by encouraging providers to move more rapidly towards blended care models (van der Vaart et al., 2014; Kooistra et al., 2019). Agility, flexibility, and resilience are essential skills for 21-st-century institutions, particularly when unforeseen disruptive viruses and devastating events driven by climate change are likely to be increasingly common (Blumenstyk, 2020). We urge practitioners to promptly start adopting e-mental health care applications, both as methods to continue their care to current patients in need and as interventions to cope with the imminent upsurge in mental health symptoms due to the coronavirus. Uncited reference Karyotaki et al., 2018
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              Racial, Economic, and Health Inequality and COVID-19 Infection in the United States

              Objectives There is preliminary evidence of racial and social economic disparities in the population infected by and dying from COVID-19. The goal of this study is to report the associations of COVID-19 with respect to race, health, and economic inequality in the United States. Methods We performed an ecological study of the associations between infection and mortality rate of COVID-19 and demographic, socioeconomic, and mobility variables from 369 counties (total population, 102,178,117 [median, 73,447; IQR, 30,761–256,098]) from the seven most affected states (Michigan, New York, New Jersey, Pennsylvania, California, Louisiana, Massachusetts). Results The risk factors for infection and mortality are different. Our analysis shows that counties with more diverse demographics, higher population, education, income levels, and lower disability rates were at a higher risk of COVID-19 infection. However, counties with higher proportion with disability and poverty rates had a higher death rate. African Americans were more vulnerable to COVID-19 than other ethnic groups (1981 African American infected cases versus 658 Whites per million). Data on mobility changes corroborate the impact of social distancing. Conclusion Our study provides evidence of racial, economic, and health inequality in the population infected by and dying from COVID-19. These observations might be due to the workforce of essential services, poverty, and access to care. Counties in more urban areas are probably better equipped at providing care. The lower rate of infection, but a higher death rate in counties with higher poverty and disability could be due to lower levels of mobility, but a higher rate of comorbidities and health care access. Electronic supplementary material The online version of this article (10.1007/s40615-020-00833-4) contains supplementary material, which is available to authorized users.
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                Author and article information

                Journal
                Healthcare (Basel)
                Healthcare (Basel)
                healthcare
                Healthcare
                MDPI
                2227-9032
                01 November 2020
                December 2020
                : 8
                : 4
                : 445
                Affiliations
                [1 ]Refugee Health Centre, Ostergotland County Council, 601 82 Norrköping, Sweden; roberto.felizia@ 123456regionostergotland.se
                [2 ]Department for Affective Disorders, Sahlgrenska University Hospital, 413 45 Gothenburg, Sweden; iris.sarajlic.vukovic@ 123456vgregion.se
                [3 ]Department of Behavioural Sciences and Learning, Linköping University, 581 83 Linköping, Sweden; tomas.lindegaard@ 123456liu.se (T.L.); gerhard.andersson@ 123456liu.se (G.A.)
                [4 ]Harvard Program in Refugee Trauma, Massachusetts General Hospital, Harvard Medical School, Cambridge, MA 02115, USA; richard.mollica@ 123456gmail.com
                Author notes
                Author information
                https://orcid.org/0000-0002-5829-7682
                Article
                healthcare-08-00445
                10.3390/healthcare8040445
                7712425
                33139619
                293a0175-38bf-4312-bb21-3d535b25b17f
                © 2020 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 07 October 2020
                : 29 October 2020
                Categories
                Perspective

                covid-19,health gaps,e-health,social determinants of health,empowerment,public health

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