Social Network-Based Digital Stroke Prevention: Opportunities, Results and Prospects
| Autor: | A. E. Demkina, M. V. Bezzubtseva, M. N. Ryabinina, Ya. A. Kotlyar, O. L. Keln, А. V. Sarapulova, R. R. Zhetishev, V. S. Kuvaev, M. Y. Maksimova, N. V. Pogosova, I. V. Zhetisheva |
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| Jazyk: | English<br />Russian |
| Rok vydání: | 2021 |
| Předmět: | |
| Zdroj: | Рациональная фармакотерапия в кардиологии, Vol 17, Iss 5, Pp 696-701 (2021) |
| Druh dokumentu: | article |
| ISSN: | 1819-6446 2225-3653 |
| DOI: | 10.20996/1819-6446-2021-10-09 |
| Popis: | 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 |
| Databáze: | Directory of Open Access Journals |
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