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      Key concepts for informed health choices: Where’s the evidence?

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      F1000Research
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          Abstract

          Background The Informed Health Choices (IHC) Key Concepts is a framework that provides a basis for developing educational resources and evaluating people’s ability to think critically about health actions. We developed the original Key Concepts framework by reviewing texts and checklists for the public, journalists, and health professionals and collecting structured feedback from an international advisory group. We revised the original 2015 framework yearly from 2016 to 2018 based on feedback and experience using the framework. The objectives of this paper are to describe the development of the framework since 2018 and summarise their basis. Methods For the 2019 version, we responded to feedback on the 2018 version. For the current 2022 version, in addition to responding to feedback on the 2019 version, we reviewed the evidence base for each of the concepts. Whenever possible, we referenced systematic reviews that provide a basis for a concept. We screened all Cochrane methodology reviews and searched Epistemonikos, PubMed, and Google Scholar for methodology reviews and meta-epidemiological studies. Results The original framework included 32 concepts in six groups. The 2019 version and the current 2022 version include 49 concepts in the same three main groups that we have used since 2016. There are now 10 subgroups or higher-level concepts. For each concept, there is an explanation including one or more examples, the basis for the concept, and implications. Over 600 references are cited that support the concepts, and over half of the references are systematic reviews. Conclusions There is a large body of evidence that supports the IHC key concepts and we have received few suggestions for changes since 2019.

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          Decision aids for people facing health treatment or screening decisions.

          Decision aids are interventions that support patients by making their decisions explicit, providing information about options and associated benefits/harms, and helping clarify congruence between decisions and personal values.
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            Prevalence of Health Misinformation on Social Media: Systematic Review

            Background Although at present there is broad agreement among researchers, health professionals, and policy makers on the need to control and combat health misinformation, the magnitude of this problem is still unknown. Consequently, it is fundamental to discover both the most prevalent health topics and the social media platforms from which these topics are initially framed and subsequently disseminated. Objective This systematic review aimed to identify the main health misinformation topics and their prevalence on different social media platforms, focusing on methodological quality and the diverse solutions that are being implemented to address this public health concern. Methods We searched PubMed, MEDLINE, Scopus, and Web of Science for articles published in English before March 2019, with a focus on the study of health misinformation in social media. We defined health misinformation as a health-related claim that is based on anecdotal evidence, false, or misleading owing to the lack of existing scientific knowledge. We included (1) articles that focused on health misinformation in social media, including those in which the authors discussed the consequences or purposes of health misinformation and (2) studies that described empirical findings regarding the measurement of health misinformation on these platforms. Results A total of 69 studies were identified as eligible, and they covered a wide range of health topics and social media platforms. The topics were articulated around the following six principal categories: vaccines (32%), drugs or smoking (22%), noncommunicable diseases (19%), pandemics (10%), eating disorders (9%), and medical treatments (7%). Studies were mainly based on the following five methodological approaches: social network analysis (28%), evaluating content (26%), evaluating quality (24%), content/text analysis (16%), and sentiment analysis (6%). Health misinformation was most prevalent in studies related to smoking products and drugs such as opioids and marijuana. Posts with misinformation reached 87% in some studies. Health misinformation about vaccines was also very common (43%), with the human papilloma virus vaccine being the most affected. Health misinformation related to diets or pro–eating disorder arguments were moderate in comparison to the aforementioned topics (36%). Studies focused on diseases (ie, noncommunicable diseases and pandemics) also reported moderate misinformation rates (40%), especially in the case of cancer. Finally, the lowest levels of health misinformation were related to medical treatments (30%). Conclusions The prevalence of health misinformation was the highest on Twitter and on issues related to smoking products and drugs. However, misinformation on major public health issues, such as vaccines and diseases, was also high. Our study offers a comprehensive characterization of the dominant health misinformation topics and a comprehensive description of their prevalence on different social media platforms, which can guide future studies and help in the development of evidence-based digital policy action plans.
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              Public Health and Online Misinformation: Challenges and Recommendations

              The internet has become a popular resource to learn about health and to investigate one's own health condition. However, given the large amount of inaccurate information online, people can easily become misinformed. Individuals have always obtained information from outside the formal health care system, so how has the internet changed people's engagement with health information? This review explores how individuals interact with health misinformation online, whether it be through search, user-generated content, or mobile apps. We discuss whether personal access to information is helping or hindering health outcomes and how the perceived trustworthiness of the institutions communicating health has changed over time. To conclude, we propose several constructive strategies for improving the online information ecosystem. Misinformation concerning health has particularly severe consequences with regard to people's quality of life and even their risk of mortality; therefore, understanding it within today's modern context is an extremely important task.
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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                F1000Research
                F1000Res
                F1000 Research Ltd
                2046-1402
                2022
                November 27 2023
                : 11
                : 890
                Article
                10.12688/f1000research.123051.2
                1bee2a33-8f70-43f4-b445-3d34548a6cb7
                © 2023

                http://creativecommons.org/licenses/by/4.0/

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