Investigating cardiovascular patients’ preferences and expectations regarding the use of social media in health education

Eshah, Nidal F.

doi:10.1080/10376178.2018.1444497

Cited by 10 publications

(6 citation statements)

References 26 publications

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“… 15 In another study, Eshah found that younger age, more education, lower income, viewing health education programs on television, having a positive family history of CVDs, and having a job were all associated with a preference for social media. 16 …”

Section: Discussionmentioning

confidence: 99%

Use of YouTube to watch health-related videos and participation in online support groups among US adults with heart disease, diabetes, and hypertension

2022

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Objective Social media use has grown over time. However, it is unclear how people with a self-reported history of cardiovascular disease or cardiovascular disease-related risk factors such as diabetes and hypertension use social media. Methods Data from the 2020 Health Information National Trends Survey (HINTS 5, Cycle 4) were analyzed (N = 3865). Only respondents with complete data for all variables of interest were included in the analyses, resulting in 306 respondents with a heart condition, 1291 with hypertension, and 608 with diabetes. We explored associations between two dependent variables: (1) participated in an online forum or support group and (2) watched a health-related video on YouTube, and sociodemographic factors and patient-provider communication. Analyses were conducted separately by medical condition. Odds ratios, 95% confidence intervals, and p-values were calculated. Results In respondents with a heart condition, hypertension, or diabetes, 5.4%, 8.4%, and 10.3% had participated in an online support group and 29.6%, 40.4%, and 36.6% had watched health-related videos on YouTube, respectively. Univariately, the odds of using online support groups was associated with younger age (vs. > = 65) in people with a heart condition and hypertension, but not diabetes. Regarding YouTube, younger age was associated with watching health-related videos across all three medical conditions, with additional gender and education associations observed in those with hypertension. There were no associations between social media use and patient-provider communication. Conclusions These findings may inform the selection of social media platforms for behavioral interventions depending on the intended patient population and goals (e.g. social support vs. video-based health education).

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Section: Discussionmentioning

confidence: 99%

Use of YouTube to watch health-related videos and participation in online support groups among US adults with heart disease, diabetes, and hypertension

2022

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“…Анализ аудитории онлайн-школы позволил также определить вышеописанные тренды: обучение прошли люди более молодого возраста, преимущественно женского пола. Однако, по мнению авторов публикации, это не является ограничением подобных онлайн-программ, учитывая значимую роль женщины в отношении сохранения здоровья в семье [7]. При этом общая вовлеченность проведенной онлайн-школы составила 5% (n=470) от общего количества людей, которые прослушали и прочитали материалы школы, что несколько ниже вовлеченности в ранее проведенном авторами исследовании, где эта цифра была равна 9,2% [2].…”

Section: Discussionunclassified

Social Network-Based Digital Stroke Prevention: Opportunities, Results and Prospects

Демкина

Bezzubtseva

Ryabinina³

et al. 2021

Racionalʹnaâ farmakoterapiâ v kardiologii

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Aim. To study the possibilities and limitations of the social network as a digital medical tool, which is aimed at improving programs for primary and secondary stroke prevention in young people.Material and methods. The study was carried out in the format of online training for volunteers. At the first stage of the work, the online school “Stroke in Young People” was announced in 8 medical blogs. As part of the school, a special account was created for readers (n=1354). At the second stage, 49 respondents (4% of men, whose average age was 24.4±5.2 years) were selected from 1354 listeners, who were surveyed on “Awareness of risk factors and stroke symptoms among users of social networks” before and after the online school.Results. The online school audience is predominantly female (91%), and 43% of readers were in the 25-34 age group. The total number of people who listened to and read the online school material is 8712 people. 17% worked in the healthcare system, and 22% of respondents had a history of stroke. 38 (78%) people of the 2nd stage among the respondents independently searched for information about stroke earlier, and 30 (61%) received this information passively from medical workers in 2020. Before the online school start, the majority of respondents (over 60%) were aware of 2 out of 7 stroke risk factors (dyslipidemia and arterial hypertension) and 3 out of 6 stroke signs (drooping of the face half, weakness in the limbs and difficulty speaking). Less than 40% of the participants considered the stroke risk factors for diabetes mellitus, other cardiovascular diseases (CVD), obesity, and alcohol use; less than 20% were aware of stroke symptoms such as impaired vision and coordination and very severe headache. After completing online learning, the greatest increase in knowledge was found among the following risk factors – smoking and other CVDs (p<0.05); stroke symptoms - headache and drooping of the face half (p<0.05).Conclusion. The online school aroused interest among healthcare workers and people without medical education, including those with stroke. Most of the respondents believed that they knew how to prevent a stroke (over 80%) and would be able to provide first aid to a person with a stroke (over 90%). At the same time, the awareness of risk factors and stroke symptoms was low prior to the start of learning, even though the study included healthcare workers and stroke survivors. Online learning has led to increased awareness of some risk factors and stroke symptoms. Social media can be one of the tools for medical prevention of stroke in young people, but program planning should take into account the way the material is presented and its readability.

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“…Also, Facebook-based intervention approaches can increase physical activity among young adult cancer survivors (Santoro et al 2015). Similar studies showed that patients with cardiovascular diseases felt that using social media in health education would improve the efficiency and quality of health education programs, and lead to better outcomes (Eshah 2018). Other studies explored the potential of mining social media data for public health surveillance and monitoring such as detection of disease outbreaks and awareness, pharmacovigilance, and various issues related to behavioral medicine, including weight loss, and e-cigarette use (Paul et al 2016;Eggleston and Weitzman 2014).…”

Section: Related Work Health and Wellbeing On The Webmentioning

confidence: 93%

Uncertainty During New Disease Outbreaks in Wikipedia

Tamime

Hall

Giordano

2019

ICWSM

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Wikipedia relies on a community of editors who construct articles related to various topics such as new disease outbreaks. New disease outbreaks are often characterized by emergent and changing information which, in turn, require Wikipedia editors to spend time and effort to retrieve and understand information that is sometimes ambiguous, complex, and contradictory. This makes a good case study for identifying different types of uncertainty, as well as delineating strategies for managing uncertainty. Despite recent research that explores how the general population expresses uncertainty during crisis events on social media platforms, limited work has focused explicitly on how Wikipedia editors express uncertainty while editing articles when knowledge or background information is either incomplete or unknown. Thus, the goals of this study are to identify types of uncertainty expressed by Wikipedia editors during new disease outbreaks, and examine different strategies deployed by Wikipedia editors to manage uncertainty. Our findings may be used to build a theoretically and empirically-driven framework to better understand and manage uncertainty on Wikipedia.

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Investigating cardiovascular patients’ preferences and expectations regarding the use of social media in health education

Cited by 10 publications

References 26 publications

Use of YouTube to watch health-related videos and participation in online support groups among US adults with heart disease, diabetes, and hypertension

Use of YouTube to watch health-related videos and participation in online support groups among US adults with heart disease, diabetes, and hypertension

Social Network-Based Digital Stroke Prevention: Opportunities, Results and Prospects

Uncertainty During New Disease Outbreaks in Wikipedia

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