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      COVID-19 pandemic, infodemic and the role of eHealth literacy

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          Abstract

          Community engagement is crucial to arrest the threat posed by the novel coronavirus (COVID-19) outbreak. However, the COVID-19 pandemic has been accompanied by an “infodemic”, a term that has been used to refer to the rapid spread of misinformation or fake news through social media platforms and other outlets. The spread of this misinformation may cause people to act inappropriately and jeopardize the efforts of governments and health authorities to manage COVID-19, inducing both panic and xenophobia (Centers for Disease Control and Prevention, 2020). The World Health Organisation (WHO) and health authorities worldwide are now working closely with social media platforms including Facebook, Google, Twitter and YouTube to provide evidence-based information to the general public trying to actively counter the misinformation that is circulating (Zarocostas, 2020). Nevertheless, the provision of accurate and quality information is likely to be insufficient to ensure optimal public health outcomes if the influence of eHealth literacy is not accounted for. eHealth literacy is based on the concepts of both health and media literacy, which refers to an individual's ability to seek, understand and appraise health information from electronic resources and make informed health decisions for addressing a health problem in everyday activities (Norman & Skinner, 2006). Studies have shown that poor health literacy in general affects how patients with long-term conditions respond and manage their health problems and related fear (Neter & Brainin, 2019), it is independently associated with several undesirable health outcomes, including hospitalization, mortality and health care cost (Berkman et al., 2011). In the context of infectious diseases, there is some evidence supporting the role of low health literacy in lack of understanding of proper antibiotic use and reduced vaccination uptake (Castro-Sanchez, Chang, Vila-Candel, Escobedo, & Holmes, 2016; Lorini et al., 2018), although evidence regarding eHealth literacy in responding to the overwhelming influx of information about emerging infectious diseases from various social media and digital resources, remains limited. The worldwide penetration of smartphones opens ample opportunities for people to access instant health-related information (and misinformation). In this context, the COVID-19 infodemic has created a very complex social environment to be navigated by the public in order to remain healthy and take appropriate preventative steps using the information available. The sheer volume of information and messages about COVID-19, which in itself can cause uncertainty and anxiety, creates a major challenge for eHealth literacy. The 2014 Ebola epidemic, in which social media rumours created hostility towards health care workers (Oyeyemi, Gabarron, & Wynn, 2014) and the continuous anti-vaccine social media posts, which seemingly legitimize debates about vaccine safety and may have reduced the vaccination rate (Smith, 2017), provide well established examples of the consequences of the spread of misinformation, which may be mirrored in the COVID-19 pandemic. Apart from the conspiracy theories, claiming that 5G mobile networks adversely affect the human immune systems and result in COVID-19 spread (Adam & Alba, 2020), the rapid dissemination of premature evidence regarding the potential efficacy of chloroquine for COVID-19 patients (Ferne & Aronson, 2020), fuelled by social media, has brought fatal consequences (Waldrop, Alsup & McLaughlin, 2020). It is foreseeable that when a vaccine for COVID-19 is made available, there will be a flood of anti-vaccination conspiracy theories being spread among the digital networks, negatively impacting on the public health efforts against COVID-19. Understanding the role of eHealth literacy in the control of COVID-19 outbreak is vital. Apart from using validated tools to assess the prevalence of eHealth literacy in the context of infectious diseases, it is also important to examine the interconnected roles of eHealth literacy and health-related misinformation on the public's decisions in taking measures to reduce the COVID-19 spread, such as hand washing, wearing a mask and practising physical distancing. The focus of eHealth literacy assessments and potential interventions in response to COVID-19 needs to move beyond addressing functional health literacy (ability to obtain relevant health information), beyond clinical care settings and beyond the individual (Chinn, 2011; Sykes, Wills, Rowlands, & Popple, 2013). Empowering the public with better critical health literacy in general, strengthening community capabilities through social participation and dialogue could be one strategy to combat COVID-19 related misinformation on social media (Chinn, 2011; Nutbeam, McGill, & Premkumar, 2017). Indeed, recent actions taken by governmental agencies to partner with various social media giants (e.g., Google, Facebook, Instagram, Weibo, WeChat) to flag, fact-check and eliminate misinformation opens up opportunities for collaborative learning and social support among the public in strengthening critical health literacy, but perhaps further research is needed to examine how critical health literacy might be developed at a population level in practice and ultimately measured. The COVID-19 infodemic may now be spreading faster than COVID-19 itself in many countries, yet the health literacy level of the public in handling health-related information is often overestimated by health care professionals (Dickens, Lambert, Cromwell, & Piano, 2013). Nurses are well positioned in the health care system to empower clients’ abilities to understand and utilize health information for their own health. The American Academy of Nursing's recommended health literacy “universal precautions” require practitioners to make an assumption that the public may have difficulty in comprehending information and thus as a minimum, clients’ understanding of information related to their own health must always be confirmed (Loan et al., 2018). More broadly, in the current context of digital communication, we urge researchers, academics and health authorities to consider how eHealth literacy may play an important role to facilitate better, more health-literate, infection prevention and control in the public. Conflict of Interest We declare no competing interests.

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          How to fight an infodemic

          WHO's newly launched platform aims to combat misinformation around COVID-19. John Zarocostas reports from Geneva. WHO is leading the effort to slow the spread of the 2019 coronavirus disease (COVID-19) outbreak. But a global epidemic of misinformation—spreading rapidly through social media platforms and other outlets—poses a serious problem for public health. “We’re not just fighting an epidemic; we’re fighting an infodemic”, said WHO Director-General Tedros Adhanom Ghebreyesus at the Munich Security Conference on Feb 15. Immediately after COVID-19 was declared a Public Health Emergency of International Concern, WHO's risk communication team launched a new information platform called WHO Information Network for Epidemics (EPI-WIN), with the aim of using a series of amplifiers to share tailored information with specific target groups. Sylvie Briand, director of Infectious Hazards Management at WHO's Health Emergencies Programme and architect of WHO's strategy to counter the infodemic risk, told The Lancet, “We know that every outbreak will be accompanied by a kind of tsunami of information, but also within this information you always have misinformation, rumours, etc. We know that even in the Middle Ages there was this phenomenon”. “But the difference now with social media is that this phenomenon is amplified, it goes faster and further, like the viruses that travel with people and go faster and further. So it is a new challenge, and the challenge is the [timing] because you need to be faster if you want to fill the void…What is at stake during an outbreak is making sure people will do the right thing to control the disease or to mitigate its impact. So it is not only information to make sure people are informed; it is also making sure people are informed to act appropriately.” About 20 staff and some consultants are involved in WHO's communications teams globally, at any given time. This includes social media personnel at each of WHO's six regional offices, risk communications consultants, and WHO communications officers. Aleksandra Kuzmanovic, social media manager with WHO's department of communications, told The Lancet that “fighting infodemics and misinformation is a joint effort between our technical risk communications [team] and colleagues who are working on the EPI-WIN platform, where they communicate with different…professionals providing them with advice and guidelines and also receiving information”. Kuzmanovic said, “In my role, I am in touch with Facebook, Twitter, Tencent, Pinterest, TikTok, and also my colleagues in the China office who are working closely with Chinese social media platforms…So when we see some questions or rumours spreading, we write it down, we go back to our risk communications colleagues and then they help us find evidence-based answers”. “Another thing we are doing with social media platforms, and that is something we are putting our strongest efforts in, is to ensure no matter where people live….when they’re on Facebook, Twitter, or Google, when they search for ‘coronavirus’ or ‘COVID-19’ or [a] related term, they have a box that…directs them to a reliable source: either to [the] WHO website to their ministry of health or public health institute or centre for disease control”, she said. Google, Kuzmanovic noted, has created an SOS Alert on COVID-19 for the six official UN languages, and is also expanding in some other languages. The idea is to make the first information that the public receive be from the WHO website and the social media accounts of WHO and Dr Tedros. WHO also uses social media for real-time updates. WHO is also working closely with UNICEF and other international agencies that have extensive experience in risk communications, such as the International Federation of Red Cross and Red Crescent Societies. Carlos Navarro, head of Public Health Emergencies at UNICEF, the children's agency, told The Lancet that while a lot of incorrect information is spreading through social media, a lot is also coming from traditional mass media. “Often, they pick the most extreme pictures they can find…There is overkill on the use of [personal protective equipment] and that tends to be the photos that are published everywhere, in all major newspapers and TV…that is, in fact, sending the wrong message”, Navarro said. David Heymann, professor of infectious disease epidemiology at the London School of Hygiene & Tropical Medicine, told The Lancet that the traditional media has a key role in providing evidence-based information to the general public, which will then hopefully be picked up on social media. He also observed that for both social and conventional media, it is important that the public health community help the media to “better understand what they should be looking for, because the media sometimes gets ahead of the evidence”.
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            Chloroquine and hydroxychloroquine in covid-19

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              Health literacy interventions and outcomes: an updated systematic review.

              To update a 2004 systematic review of health care service use and health outcomes related to differences in health literacy level and interventions designed to improve these outcomes for individuals with low health literacy. Disparities in health outcomes and effectiveness of interventions among different sociodemographic groups were also examined. We searched MEDLINE®, the Cumulative Index to Nursing and Allied Health Literature, the Cochrane Library, PsychINFO, and the Educational Resources Information Center. For health literacy, we searched using a variety of terms, limited to English and studies published from 2003 to May 25, 2010. For numeracy, we searched from 1966 to May 25, 2010. We used standard Evidence-based Practice Center methods of dual review of abstracts, full-text articles, abstractions, quality ratings, and strength of evidence grading. We resolved disagreements by consensus. We evaluated whether newer literature was available for answering key questions, so we broadened our definition of health literacy to include numeracy and oral (spoken) health literacy. We excluded intervention studies that did not measure health literacy directly and updated our approach to evaluate individual study risk of bias and to grade strength of evidence. We included good- and fair-quality studies: 81 studies addressing health outcomes (reported in 95 articles including 86 measuring health literacy and 16 measuring numeracy, of which 7 measure both) and 42 studies (reported in 45 articles) addressing interventions. Differences in health literacy level were consistently associated with increased hospitalizations, greater emergency care use, lower use of mammography, lower receipt of influenza vaccine, poorer ability to demonstrate taking medications appropriately, poorer ability to interpret labels and health messages, and, among seniors, poorer overall health status and higher mortality. Health literacy level potentially mediates disparities between blacks and whites. The strength of evidence of numeracy studies was insufficient to low, limiting conclusions about the influence of numeracy on health care service use or health outcomes. Two studies suggested numeracy may mediate the effect of disparities on health outcomes. We found no evidence concerning oral health literacy and outcomes. Among intervention studies (27 randomized controlled trials [RCTs], 2 cluster RCTs, and 13 quasi-experimental designs), the strength of evidence for specific design features was low or insufficient. However, several specific features seemed to improve comprehension in one or a few studies. The strength of evidence was moderate for the effect of mixed interventions on health care service use; the effect of intensive self-management inventions on behavior; and the effect of disease-management interventions on disease prevalence/severity. The effects of other mixed interventions on other health outcomes, including knowledge, self-efficacy, adherence, and quality of life, and costs were mixed; thus, the strength of evidence was insufficient. The field of health literacy has advanced since the 2004 report. Future research priorities include justifying appropriate cutoffs for health literacy levels prior to conducting studies; developing tools that measure additional related skills, particularly oral (spoken) health literacy; and examining mediators and moderators of the effect of health literacy. Priorities in advancing the design features of interventions include testing novel approaches to increase motivation, techniques for delivering information orally or numerically, "work around" interventions such as patient advocates; determining the effective components of already-tested interventions; determining the cost-effectiveness of programs; and determining the effect of policy and practice interventions.
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                Author and article information

                Contributors
                Journal
                Int J Nurs Stud
                Int J Nurs Stud
                International Journal of Nursing Studies
                Published by Elsevier Ltd.
                0020-7489
                1873-491X
                15 May 2020
                August 2020
                15 May 2020
                : 108
                : 103644
                Affiliations
                [a ]The Nethersole School of Nursing, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
                [b ]The Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
                Author notes
                [* ]Corresponding author: Room 828, Esther Lee Building, The Nethersole School of Nursing, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China conniechong@ 123456cuhk.edu.hk
                Article
                S0020-7489(20)30128-0 103644
                10.1016/j.ijnurstu.2020.103644
                7255119
                32447127
                bf81782e-cc00-4c21-a1c3-6f9cda13dda1
                © 2020 Published by Elsevier Ltd.

                Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

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