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Table 4 Factors underlying the telemonitoring platform for self-health management

From: Key drivers involved in the telemonitoring of covid-19 for self-health management: an exploratory factor analysis

Factor

 

1

2

3

4

5

6

 

Health self-engagement

Technological risk

Perceived ease of use

Satisfaction

Patient cognitive engagement

Perceived usefulness

PB1

.871

     

ENGe2

.848

     

PB3

.809

     

ENGe3

.799

     

PB4

.764

     

ENGb2

.757

     

ENGb3

.740

     

PB2

.739

     

ENGb1

.722

     

ENGe1

.665

     

EE2

 

.859

    

PTR2

 

.843

    

PTR1

 

.815

    

EE4

 

.772

    

PTR3

 

.672

    

EE3

 

.600

    

EE1

.416

.493

    

PEU2

  

.963

   

PEU1

  

.913

   

PEU4

  

.819

   

PEU3

  

.552

   

SAT2

   

.814

  

SAT1

   

.783

  

SAT3

   

.586

  

ENGc2

    

.875

 

ENGc1

    

.757

 

ENGc3

    

.638

 

PU2

     

.837

PU1

     

.828

PU3

     

.560

PU4

     

.530

Eigenvalue

12.285

3.797

1.792

2.968

.959

.828

Percent of variance

39.660

12.249

5.781

9.573

3.095

2.670

Cumulative percent of variance

39.660

51.909

57.690

67.263

70.358

73.028

  1. Extraction Method: Maximum Likelihood. Rotation Method: Promax with Kaiser Normalization. ENGc  Cognitive engagement, ENGe  Emotional engagement, ENGb  Behavioural engagement, SAT  Satisfaction, PB  Perceived benefit, PTR  Perceived Technological risk, EE  Effort Expectancy, PU  Perceived usefulness, PEU  Perceived ease of use