Título : Patients’ perception of using telehealth for consultation: insights
after pandemic and development of an online calculator platform
to predict acceptance of remote consultation: the TELEMED
international study |
Autor : Luis Sánchez‑Guillén, Luis Lillo‑García, Cristina Barber, Xavier González‑Mora, César Álvarez‑Gallego, Mario Ioannidis, Argyrios Clermonts, Stefan Frontali, Alice Saldaña, Roberto Mayol, Julio Pellino, Gianluca |
Editor : Springer |
Departamento: Departamentos de la UMH::Estadística, Matemáticas e Informática |
Fecha de publicación: 2024-04 |
URI : https://hdl.handle.net/11000/38605 |
Resumen :
The COVID-19 pandemic has led to a change in healthcare models. The aim of this study was to evaluate patient acceptance
of telehealth as an alternative to physical consultations, and to identify factors predicting higher satisfaction. This was an
observational, cross-sectional, multi-center, international study. All consecutive patients for whom telehealth was used in
consultations between April and July 2020 were considered for inclusion. The validated Telehealth Usability Questionnaire
(TUQ) was used as a model to measure patient acceptance. Overall, 747 patients were observed, of whom 721 agreed
to participate (96·5%). The TUQ showed that 86·9% of patients agreed that telehealth was useful; 85·2% supported the
interface quality and 81·4% endorsed the interaction quality. Patients aged > 60 y were less likely to agree with the use of
telehealth (p < 0·05). A web-based prediction tool was generated to calculate global satisfaction and to identify patients more
likely to feel comfortable with telehealth. Telehealth is feasible and allows consultations that are satisfactory for patients.
Technological advancements could ease safe implementation of telehealth into everyday practice. Adequate patient selection
can be useful to ensure that the ideal strategy is used for each individual during and after the pandemic.
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Palabras clave/Materias: COVID-19 · Telehealth Telehealth Patient satisfaction Technology acceptance |
Área de conocimiento : CDU: Ciencias puras y naturales: Generalidades sobre las ciencias puras |
Tipo de documento : info:eu-repo/semantics/article |
Derechos de acceso: info:eu-repo/semantics/restrictedAccess Attribution-NonCommercial-NoDerivatives 4.0 Internacional |
DOI : https://doi.org/10.1007/s13304-024-01780-z |
Publicado en: Updates in Surgery (2024) 76:2031–2041 |
Aparece en las colecciones: Artículos - Estadística, Matemáticas e Informática
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