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Topics, Delivery Modes, and Social-Epistemological Dimensions of Web-Based Information for Patients Undergoing Renal Transplant and Living Donors During the COVID-19 Pandemic: Content Analysis.
van Klaveren, Charlotte W; de Jong, Peter G M; Hendriks, Renée A; Luk, Franka; de Vries, Aiko P J; van der Boog, Paul J M; Reinders, Marlies E J.
  • van Klaveren CW; Division of Nephrology and Transplant Center, Department of Internal Medicine, Leiden University Medical Center, Leiden, Netherlands.
  • de Jong PGM; Center for Innovation in Medical Education, Leiden University Medical Center, Leiden, Netherlands.
  • Hendriks RA; Center for Innovation in Medical Education, Leiden University Medical Center, Leiden, Netherlands.
  • Luk F; Division of Nephrology and Transplant Center, Department of Internal Medicine, Leiden University Medical Center, Leiden, Netherlands.
  • de Vries APJ; Division of Nephrology and Transplant Center, Department of Internal Medicine, Leiden University Medical Center, Leiden, Netherlands.
  • van der Boog PJM; Division of Nephrology and Transplant Center, Department of Internal Medicine, Leiden University Medical Center, Leiden, Netherlands.
  • Reinders MEJ; Division of Nephrology and Transplant Center, Department of Internal Medicine, Leiden University Medical Center, Leiden, Netherlands.
J Med Internet Res ; 22(10): e22068, 2020 10 08.
Artículo en Inglés | MEDLINE | ID: covidwho-863364
ABSTRACT

BACKGROUND:

The COVID-19 pandemic has markedly affected renal transplant care. During this time of social distancing, limited in-person visits, and uncertainty, patients and donors are relying more than ever on telemedicine and web-based information. Several factors can influence patients' understanding of web-based information, such as delivery modes (instruction, interaction, and assessment) and social-epistemological dimensions (choices in interactive knowledge building).

OBJECTIVE:

The aim of this study was to systemically evaluate the content, delivery modes, and social-epistemological dimensions of web-based information on COVID-19 and renal transplantation at time of the pandemic.

METHODS:

Multiple keyword combinations were used to retrieve websites on COVID-19 and renal transplantation using the search engines Google.com and Google.nl. From 14 different websites, 30 webpages were examined to determine their organizational sources, topics, delivery modes, and social-epistemological dimensions.

RESULTS:

The variety of topics and delivery modes was limited. A total of 13 different delivery modes were encountered, of which 8 (62%) were instructional and 5 (38%) were interactional; no assessment delivery modes were observed. No website offered all available delivery modes. The majority of delivery modes (8/13, 62%) focused on individual and passive learning, whereas group learning and active construction of knowledge were rarely encountered.

CONCLUSIONS:

By taking interactive knowledge transfer into account, the educational quality of eHealth for transplant care could increase, especially in times of crisis when rapid knowledge transfer is needed.
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Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Asunto principal: Neumonía Viral / Educación del Paciente como Asunto / Trasplante de Riñón / Telemedicina / Infecciones por Coronavirus / Conocimiento / Donadores Vivos / Internet Tipo de estudio: Estudio experimental / Estudio observacional / Investigación cualitativa Límite: Humanos Idioma: Inglés Revista: J Med Internet Res Asunto de la revista: Informática Médica Año: 2020 Tipo del documento: Artículo País de afiliación: 22068

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Texto completo: Disponible Colección: Bases de datos internacionales Base de datos: MEDLINE Asunto principal: Neumonía Viral / Educación del Paciente como Asunto / Trasplante de Riñón / Telemedicina / Infecciones por Coronavirus / Conocimiento / Donadores Vivos / Internet Tipo de estudio: Estudio experimental / Estudio observacional / Investigación cualitativa Límite: Humanos Idioma: Inglés Revista: J Med Internet Res Asunto de la revista: Informática Médica Año: 2020 Tipo del documento: Artículo País de afiliación: 22068