Effective Care Training for Patients with COVID-19 through Social Network

Autor/inn/en	Sobhanifard, Yaser; Soltanmohammadi, Behnam
Titel	Effective Care Training for Patients with COVID-19 through Social Network
Quelle	In: Interactive Learning Environments, 31 (2023) 4, S.2170-2184 (15 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Sobhanifard, Yaser) ORCID (Soltanmohammadi, Behnam)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1049-4820
DOI	10.1080/10494820.2021.1875003
Schlagwörter	Patients; Training; COVID-19; Pandemics; Social Networks; Safety; Health Promotion; Public Health; Social Media; Access to Education; Health Education; Knowledge Level; Multimedia Instruction + Suchen Sie Ihr Suchwort? Patient; Ausbildung; Social network; Soziales Netzwerk; Sicherheit; Gesundheitsfürsorge; Gesundheitshilfe; Reihenuntersuchung; Gesundheitswesen; Soziale Medien; Education; Access; Bildung; Zugang; Bildungszugang; Gesundheitsaufklärung; Gesundheitsbildung; Gesundheitserziehung; Wissensbasis; Multimediales Lernen
Abstract	This study explores effective care training factors for patients with coronavirus disease 2019 (COVID-19) through social network message combining qualitative and quantitative methods. The research was conducted in two phases. In the first phase, based on the theoretical saturation approach, active social networking audiences were sampled and questioned in the field of COVID-19 learning. In this regard, 38 audiences interviewed and based on thematic analysis 20 non-repetitive features (basic them), five organizing themes, and a thematic network extracted. In the second phase, 11 experts were used to rank these extracted basic and organizing themes using the DEMATEL as a quantitative method. Finally, the results were tested using a one-sample T-test and Spearman correlation by a more significant number of social network users. The thematic analysis results introduce 20 basic themes, five organizing themes, and network themes for effective care training factors for patients with COVID-19 through the social network. Indeed, it can be concluded that the performed network themes and DEMATEL entails a unique model in this context. This model shows useful messages for COVID-19 training in the social network under the influence of five factors: simplicity, multimedia, validity, availability, and generalization. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01