Preprint Article Version 1 This version is not peer-reviewed

Validation of a Short Questionnaire to Assess Perceptions of Health Care Professionals with Asynchronous Telemedicine Services: The Catalan Version of the Optimum Telemedicine Acceptance Questionnaire

Version 1 : Received: 11 March 2020 / Approved: 12 March 2020 / Online: 12 March 2020 (09:58:12 CET)

A peer-reviewed article of this Preprint also exists.

Vidal-Alaball, J.; Flores Mateo, G.; Garcia Domingo, J.L.; Marín Gomez, X.; Sauch Valmaña, G.; Ruiz-Comellas, A.; López Seguí, F.; García Cuyàs, F. Validation of a Short Questionnaire to Assess Healthcare Professionals’ Perceptions of Asynchronous Telemedicine Services: The Catalan Version of the Health Optimum Telemedicine Acceptance Questionnaire. Int. J. Environ. Res. Public Health 2020, 17, 2202. Vidal-Alaball, J.; Flores Mateo, G.; Garcia Domingo, J.L.; Marín Gomez, X.; Sauch Valmaña, G.; Ruiz-Comellas, A.; López Seguí, F.; García Cuyàs, F. Validation of a Short Questionnaire to Assess Healthcare Professionals’ Perceptions of Asynchronous Telemedicine Services: The Catalan Version of the Health Optimum Telemedicine Acceptance Questionnaire. Int. J. Environ. Res. Public Health 2020, 17, 2202.

Journal reference: Int. J. Environ. Res. Public Health 2020, 17, 2202
DOI: 10.3390/ijerph17072202

Abstract

Background: Telemedicine is both effective and can provide efficient care at lower costs. It also enjoys a high acceptance rate among users. The Technology Acceptance Model proposed is based on the two main concepts of ease of use and perceived usefulness and comprises three dimensions: the individual context, the technological context and the implementation or organizational context. There is not a short and validated questionnaire to check the acceptance of telemedicine services amongst health care professionals using a technology acceptance model. Objective To translate and validate a telemedicine acceptance questionnaire based in the technology acceptance model. Methods The study included the following phases: adaptation and translation of the questionnaire into Catalan and psychometric validation which include construct (exploratory factor analysis), consistency (Cronbach’s alpha) and stability (test-retest). Factor analysis was used to describe variability amongst observed variables. Results After removing incomplete responses 144 responses where considered for analysis. The internal consistency measured with the Cronbach’s alpha coefficient was good with an alpha coefficient of 0.84 (95%, CI: 0.79-0.84). The intraclass correlation coefficient was 0.93 (95% CI: 0.852-0.964). The Kaiser-Meyer-Olkin test of sampling was adequate (KMO = 0.818) and the Bartlett test of sphericity was significant (Chi-square 424.188; gl=28; P < .001), indicating that the items were appropriate for a factor analysis. Conclusions The questionnaire validated with this study has robust statistical features that make it a good predictive model of professional’s satisfaction with telemedicine programs.

Subject Areas

telemedicine; Questionnaires and Surveys; validation studies; health personnel

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