|
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
|
