Table 2 Regression models.

From: The role of INTERCheckWEB digital innovation in supporting polytherapy management

 

Model 1

Model 2

Model 3

Control variables

 Patient’s age

0.068*

0.031

− 0.073*

 Patient’s autonomy

− 0.015

0.203*

0.303*

 Patient’s BMI

0.542*

0.383*

0.505*

Independent variables

 Negative clinician’s behaviour towards guidelines and clinical protocols

 

− 0.060

− 0.061

 Positive clinician’s behaviour towards guidelines and clinical protocols

 

− 0.024

− 0.104

 INTERcheckWEB perceived usefulness

 

− 0.089

− 0.084

 INTERcheckWEB perceived ease of use

 

0.150*

0.298*

 Clinician’s seniority

 

0.083*

0.087*

 Patient’s polytherapy

 

0.599*

0.541*

 Patient’s comorbidities

 

− 0.283*

0.302*

Moderators

 Patient’s polytherapy X patient’s comorbidities

  

− 0.370*

 Quality of available patient’s data X patient’s polytherapy

  

− 0.661*

 Clinician’s seniority X positive clinician’s behavior towards guidelines and clinical protocols

  

0.083

 Clinician’s seniority X INTERcheckWEB perceived usefulness

  

− 0.035

 Clinician’s seniority X INTERcheckWEB perceived ease of use

  

− 0.134

  R2

0.305

0.516

0.550

  Adjusted R2

0.301

0.506

0.537

  F value

76.236*

54.751*

41.555*

  Δ R2

0.305

0.211

0.035

  F(ΔR2)

76.236*

31.954*

7.859*

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