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. 2022 Aug 17;6(8):e37682. doi: 10.2196/37682

Table 3.

Hierarchical regression model of acceptance (the extended Unified Theory of Acceptance and Use of Technology model; N=307).

Predictor βa βb T R ²c ΔR²d P value
Step 1: sociodemographic variables 0.041 0.041 e

Age (years) –.01 –.11 –2.75 .006

Occupational status


Employed –.11 –.13 –1.10 .27


Unemployed –.14 –.15 –1.15 .25


Other .00 .00 0.09 .98

Place of residence


Medium-sized city –.26 –.30 –3.12 .002


Small town –.28 –.31 –2.91 .004


Rural municipality –.12 –.13 –1.35 .18
Step 2f: psychometric and medical variables 0.069 0.028 .001

PHQ-8g .01 .04 1.08 .28

Pain duration (months)


6 to 12 –.02 –.03 –0.11 .92


12 to 24 –.37 –.41 –1.81 .07


>24 –.18 –.20 –1.04 .30

Number of treatments tried


>6 .05 .06 0.58 .57


<3 –.13 –.15 –1.64 .10
Step 3f: eHealth-related factors 0.130 0.061 <.001

Private daily internet use (hours)


1 to 2 –.17 –.19 –1.51 .13


2 to 3 –.25 –.28 –2.27 .02


3 to 4 –.17 –.19 –1.33 .19


>4 –.29 –.33 –2.27 .02

Confidence in dealing with eHealth


A little unconfident –.23 –.26 –0.96 .34


Neutral .28 .31 1.35 .18


Rather confident .20 .23 1.05 .29


Very confident .08 .09 0.42 .68


Internet anxiety –.03 –.03 –0.66 .51


eHealth knowledge .03 .03 0.83 .41


No eHealth experience .07 .08 0.92 .36


eHEALSh .00 .02 0.39 .70
Step 4f: UTAUTi core predictors 0.664 0.534 <.001

Effort expectancy .37 .33 6.74 <.001

Performance expectancy .33 .31 6.30 <.001

Social influence .34 .29 6.46 <.001

aStandardized coefficient beta.

bUnstandardized coefficient beta.

cDetermination coefficient.

dChanges in R².

eNot available.

fIn steps 2, 3, and 4, only the newly included variables are presented.

gPHQ-8: Patient Health Questionnaire depression scale.

heHEALS: eHealth literacy scale.

iUTAUT: Unified Theory of Acceptance and Use of Technology.