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Currently submitted to: JMIR mHealth and uHealth

Date Submitted: Aug 1, 2019
Open Peer Review Period: Aug 6, 2019 - Oct 1, 2019
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Telemedicine questionnaire for health care professionals: adaptation and validation using the Technology Acceptance Model

  • Josep Vidal-Alaball; 
  • Gemma Flores Mateo; 
  • Josep Lluís Garcia Domingo; 
  • Francesc Xavier Marin-Gomez; 
  • Glòria Sauch Valmaña; 
  • Anna Ruiz Comellas; 
  • Francesc Garcia Cuyàs; 



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 validated questionnaire to check the acceptance of telemedicine services amongst health care professionals using a technology acceptance model.


To translate and validate a telemedicine acceptance questionnaire based in the technology acceptance model.


The study included the following phases: adaptation and translation of the questionnaire into Catalan, and psychometric validation which include construct (exploratory and confirmatory factor analysis), consistency (Cronbach’s alpha) and stability (test-retest). Factor analysis was used to describe variability amongst observed variables. 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. The final confirmatory factor analysis conducted showed good fit index (RMSEA = 0.102, CFI = 0.93, TLI =0.90; CD =0.96).


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 questionnaire validated with this study has robust statistical features that potentially make it a good predictive model of professional’s satisfaction with telemedicine programs. Clinical Trial: n/a


Please cite as:

Vidal-Alaball J, Flores Mateo G, Garcia Domingo JL, Marin-Gomez FX, Sauch Valmaña G, Ruiz Comellas A, Garcia Cuyàs F

Telemedicine questionnaire for health care professionals: adaptation and validation using the Technology Acceptance Model

JMIR Preprints. 01/08/2019:15689

DOI: 10.2196/preprints.15689


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