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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.