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. Author manuscript; available in PMC: 2018 Aug 6.
Published in final edited form as: J Health Commun. 2017 Jun 5;22(7):584–592. doi: 10.1080/10810730.2017.1324540

Table 3.

The Influence of Patient-Provider Communication on Quality of Life: Multivariate Analysis

Patient-Provider Communication PHQOL1 MHQOL2
Beta SE p-value Beta SE p-value
(1) % Physician discussed diagnosis/treatment 0.17 0.09 0.06 0.17 0.09 0.07
  -Interaction term: “race x % physician discussed diagnosis/treatment” −0.05 0.19 0.78 0.26 0.19 0.17
(2) % Patient asked questions −0.05 0.07 0.48 0.04 0.07 0.59
  -Interaction term: “race x % patient asked questions” −0.10 0.13 0.44 0.01 0.13 0.97
(3) Patient comfort asking questions 0.04 0.03 0.31 0.07 0.03 0.02*
  -Interaction term: “race x patient comfort asking questions” −0.06 0.07 0.43 0.03 0.06 0.63
(4) Interpersonal communication barriers −0.07 0.03 0.01* -0.12 0.03 0.00*
  -Interaction term: “race x interpersonal communication barriers” 0.07 0.06 0.25 -0.05 0.06 0.44
(5) Unmet information needs −0.05 0.03 0.13 -0.07 0.03 0.04*
  -Interaction term: “race x unmet information needs” −0.02 0.07 0.73 -0.04 0.07 0.56
(6) Overall information satisfaction 0.13 0.03 0.00* 0.14 0.03 0.00*
  -Interaction term: “race x overall information satisfaction” 0.03 0.06 0.65 0.12 0.06 0.04*
*

p-value<0.05; PHQOL: Physical Health Quality of Life; MHQOL: Mental Health Quality of Life; Beta: regression coefficient; SE: standard error

1

The following variables are controlled in each model: Race, Gender, Education Level, Income, Employment Status, Marital Status, Health Insurance, Age at Diagnosis, Cancer Site, Time since Diagnosis (in months), Currently in Treatment, and Co-morbidities Present

2

The following variables are controlled in each model: Race, Gender, Education Level, Income, Employment Status, Marital Status, Health Insurance, Cancer Site, and Co-morbidities Present