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Table 2 Linear mixed-effect model of linguistic features and system use predicting patients’ overall decisional satisfaction

From: Patient-provider communication while using a clinical decision support tool: explaining satisfaction with shared decision making for mammography screening

 

Model 1 (only main effects)

  

Model 2 (interaction effects)

  
 

β

SE

p value

β

SE

p value

Patient demographics

      

Patient’s years of education

 − 0.21

0.12

0.08

 − 0.17

0.12

0.12

Mammography history (No = 0; Yes = 1)

 − 0.12

0.36

0.74

0.09

0.33

0.80

Linguistic features

      

Provider word count

0.14

0.13

0.28

0.08

0.12

0.49

Patient word count

 − 0.11

0.13

0.38

 − 0.12

0.12

0.34

Patient question marks

 − 0.32**

0.12

0.01

 − 0.40***

0.12

0.001

Provider affect words

 − 0.11

0.13

0.40

 − 0.06

0.12

0.60

Provider quantifier words

0.30**

0.12

0.01

0.23*

0.11

0.04

System use

      

Total clicks

 − 0.27*

0.12

0.02

 − 0.31**

0.11

0.000

Loops

0.34*

0.12

0.004

0.37

0.11

0.22

Interaction

      

Loops* Total clicks

   

0.40**

0.13

0.003

Constant

0.10

0.33

0.000

 − 0.13

0.31

0.000

Random effects

      

Between-provider variance

 − 24.63

7.99

 

 − 24.25***

5.91

 

Log likelihood

 − 56.91

  

 − 52.73

  

Wald Chi2

40.67

  

56.98

  
  1. *p < .05. **p < .01. ***p < .001