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. 2024 Dec 30;25:442. doi: 10.1186/s12875-024-02695-9

Table 4.

Effects of e-health literacy and aspects of patient-physician communication on the relation between online DISB and diabetes self-care

Diabetes self-care
Step 1 Step 2
β s.e p-value Adjusted
R2
β s.e p-value Adjusted
R2
Age −0.01 0.02 0.67 0.60 −0.01 0.02 0.77 0.63
Gender 0.15 0.02 0.03 0.15 0.02 0.04
Education level 0.18 0.04 0.019 0.20 0.04 0.017
Communication duration 0.17 0.03 0.02 0.20 0.03 0.02
Presence of complications 0.03 0.02 0.51 0.03 0.02 0.47
Health status 0.20 0.05 0.001 0.19 0.05 0.004
HbA1C −0.25 0.07 0.001 −0.28 0.07 0.001
Online DISB (1 = yes) 0.49 0.02 < 0.001 0.58 0.11 < 0.001
e-Health literacy (eHL) 0.26 0.03 0.02 0.36 0.02 < 0.001
Hurried Communication −0.28 0.02  < 0.001 −0.29 0.03 < 0.001
Elicited Concerns 0.27 0.03 0.005 0.31 0.04 0.005
Explained Results 0.25 0.02 0.03 0.15 0.04 0.12
Online DISB × eHL 0.41 0.04 0.009
Online DISB × Hurried −0.26 0.21 0.40
Online DISB × Elicited 0.19 0.11 0.13
Online DISB × Explained 0.43 0.04 < 0.001

β indicates Beta (i.e., standardized regression coefficient); s.e. indicates standard error. The model controlled for age, gender, education level, communication duration, presence of complications, health status, and HbA1C. Online DISB along with the moderator variables were entered in Step 1. The interaction effects between online DISB and each of the moderator variables were entered in Step 2