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. 2021 Feb 12;21:139. doi: 10.1186/s12913-021-06153-5

Table 4.

Hierarchical multiple regression analysis results for the prediction of caregiver satisfaction with and benefit of the assessment

Predicting variables Satisfaction Benefit
ΔR2 β ΔR2 β
Step 1: Background variables .137*** .084*
Referral source −.10 .01
Caregiver’s gender .04 −.02
Mother tongue −.02 −.03
Socioeconomic status .10 .05
Child’s age −.05 −.20**
Child’s psychosocial functioning .07 −.04
Step 2: Specific experiences with neuropaediatric services .416*** .227***
The clinicians easy to understand .02 −.04
Confidence in the clinicians’ professional competence .09 −.05
Confidence in the other staff’s professional skills −.02 .08
Informed about how tests or examinations would be carried out −.07 .01
Got sufficient information about the child’s diagnosis/afflictions .05 .17*
The treatment suited to the child’s situation .48*** .26**
Involvement in any decisions regarding the child’s treatment .03 .00
Perceiving the clinic’s work as well organised .07 .14
The clinic cooperated well with other public services .21** .10
Total R2 .553*** .310***

Note. All β (standardised coefficients) were from the final model with all steps included. Referral source: 0 – specialist, 1 – general practitioner; gender: 0 – male, 1 – female; mother tongue: 0 – Norwegian, 1 – others; socioeconomic status: 0 – lower, 1 – higher; child’s psychosocial functioning measured by CGAS (Children’s Global Assessment Scale); *p < .05. **p < .01, ***p < .001 (two-tailed test)