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. 2018 Feb 5;32(6):1103–1113. doi: 10.1177/0269216318756812

Table 6.

Multiple linear regression model for the association between overall satisfaction with care and diagnosis, country, age, gender and social network analysis questions 6 and 9.

Determinant B (95% CI) p-Value
Diagnosis
 Cancer Reference
 CHF 0.11 (–0.19; 0.41) 0.470
 COPD −0.08 (–0.32; 0.16) 0.531
Countrya
 Belgium Reference
 Germany 0.51 (0.03; 0.98) 0.037*
 United Kingdom 0.33 (−0.02; 0.68) 0.068
 Hungary 0.34 (−0.02; 0.70) 0.067
 Netherlands 0.00 (−0.36; 0.36) 0.981
Age 0.00 (−0.01; 0.01) 0.441
Gender −0.07 (−0.27; −0.13) 0.479
Social network analysis question 6 ‘The care given by these caregivers appears to be well-connected’b 0.19 (0.08; 0.29) <0.001*
Social network analysis question 9 ‘Sometimes I perceive friction between caregivers’b −0.10 (−0.19; −0.01) 0.030*

CI: confidence interval; CHF: chronic heart failure; COPD: chronic obstructive pulmonary disease.

Belgium was chosen as the reference group, since this was the first category within the variable country.

a

‘Country’ as a variable refers to the selection of integrated palliative care initiatives in that country, not directly to the whole country.

b

The separate social network analysis questions 5–9 significantly associated with overall satisfaction. However, since these questions mutually correlated we decided to only include questions 6 and 9 in the multiple regression model based on the highest coefficient of determination (R2).

*

Significant at 0.05 level.

R2 of the model = 0.31.