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Table 3 Main factor analysis results

From: Drivers of telemedicine use: comparative evidence from samples of Spanish, Colombian and Bolivian physicians

  Spain Colombia Bolivia
  Perceived usefulness of ICTs in clinical practice Optimism Perceived usefulness of ICTs in clinical practice Optimism Perceived usefulness of ICTs in clinical practice Optimism
Variables       
  Looking up medical or health-related information on the Internet improves the doctor-patient relationship   0.577   0.852   0.680
  Looking up medical or health-related information on the Internet leads to doubts about the health care professional's knowledge   0.747   0.809   0.705
  Looking up medical or health-related information on the Internet improves knowledge of the patient and facilitates his or her treatment   0.765   0.809   0.735
  The existence of computerised data allows the evolution of the patient's clinical status to be viewed 0.946   0.772   0.788  
  I am in favour of creating a single computerised medical history for each patient, which can be accessed by any health care professional regardless of the centre where the patient is attended 0.943   0.785   0.844  
With excessive ICT use, there is greater control of errors 0.862   0.639   0.783  
  In most cases, computerisation and ICT use in the field of health care minimise bureaucracy and have a major impact on improved clinical practice 0.703   0.770   0.605  
% variance explained 0.57788 0.15195 0.15521 0.47019 0.42973 0.14720
Eigenvalue 4.0451 1.06362 1.08644 3.29133 3.00810 1.03041
Cronbach's alpha 0.811 0.874 0.891 0.877   
Correlation matrix Correlated variables, values higher than 0.5 Correlated variables, values higher than 0.5 Correlated variables, values higher than 0.5
Determinant of the matrix 0.001992139587910 0.156882043355530 0.318942324331276
KMO index 0.90176 0.88039 0.73541
Bartlett's statistic 645.7*** 410.8 *** 514.1***
Measurement of sample adequacy Coefficients between 0.62 and 0.80 Coefficients between 0.62 and 0.80 Coefficients between 0.62 and 0.80
Component correlation matrix 1 2 1 2 1 2
  1 1.000 0.646 1.000 0.525 1.000 1.000
  2 0.646 1.000 0.525 1.000 0.400 1.000
  1. ***Significant at 99% confidence level.