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dc.contributorUniversitat de Vic - Universitat Central de Catalunya. Departament d'Economia i Empresa
dc.contributorUniversitat de Vic - Universitat Central de Catalunya. Grup de Recerca Digital Care
dc.contributor.authorVidal-Alaball, Josep
dc.contributor.authorFlores-Mateo, Gemma
dc.contributor.authorGarcia Domingo, Josep Lluís
dc.contributor.authorMarin Gómez, F. Xavier
dc.contributor.authorSauch Valmaña, Glòria
dc.contributor.authorRUIZ COMELLAS, ANNA
dc.contributor.authorLópez Seguí, Francesc
dc.contributor.authorGarcia Cuyas, Francesc
dc.date.accessioned2026-05-26T07:37:44Z
dc.date.available2026-05-26T07:37:44Z
dc.date.created2020
dc.date.issued2020
dc.identifier.issn1661-7827ca
dc.identifier.urihttps://hdl.handle.net/10854/181043
dc.description.abstractTelemedicine is both e ective and able to provide e cient care at a lower cost. It also enjoys a high degree of acceptance among users. The Technology Acceptance Model proposed is based on the two main concepts of ease of use and perceived usefulness and is comprised of three dimensions: the individual context, the technological context and the implementation or organizational context. At present, no short, validated questionnaire exists in Catalonia to evaluate the acceptance of telemedicine services amongst healthcare professionals using a technology acceptance model. This article aims to statistically validate the Catalan version of the EU project Health Optimum telemedicine acceptance questionnaire. The study included the following phases: adaptation and translation of the questionnaire into Catalan and psychometric validation with construct (exploratory factor analysis), consistency (Cronbach’s alpha) and stability (test–retest) analysis. After deleting incomplete responses, calculations were made using 33 participants. The internal consistency measured with the Cronbach’s alpha coe cient was good with an alpha coe cient of 0.84 (95%, CI: 0.79–0.84). The intraclass correlation coe cient was 0.93 (95% CI: 0.852–0.964). The Kaiser–Meyer–Olkin test of sampling showed to be adequate (KMO = 0.818) and the Bartlett test of sphericity was significant (Chi-square 424.188; gl = 28; p < 0.001). The questionnaire had two dimensions which accounted for 61.2% of the total variance: quality and technical di culties relating to telemedicine. The findings of this study suggest that the validated questionnaire has robust statistical features that make it a good predictive model of healthcare professional’s satisfaction with telemedicine programs.ca
dc.format.extent10 p.ca
dc.language.isoengca
dc.publisherMDPIca
dc.relation.ispartofInternational Journal of Environonmental Research and Public Health, 17 (7), 2202ca
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subject.otherTelemedicinaca
dc.subject.otherSalut pública -- Personalca
dc.subject.otherEnquestesca
dc.titleValidation of a Short Questionnaire to Assess Healthcare Professionals’ Perceptions of Asynchronous Telemedicine Services: The Catalan Version of the Health Optimum Telemedicine Acceptance Questionnaireca
dc.typeinfo:eu-repo/semantics/articleca
dc.description.versioninfo:eu-repo/semantics/publishedVersionca
dc.embargo.termscapca
dc.identifier.doihttps://doi.org/10.3390/ijerph17072202ca
dc.rights.accessLevelinfo:eu-repo/semantics/openAccess
dc.subject.udc614ca


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Attribution 4.0 International
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