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Table 5 Multiple regression analysis of factors associated with CARE Measure scores

From: The Chinese-version of the CARE Measure reliably differentiates between doctors in primary care: a cross-sectional study in Hong Kong

Variable

Effect estimate (un-standardised beta)

95% Confidence intervals

Significance level

R square change

General Health

2.311

1.577 to 3.046

P < 0.001

0.027

Knowing the doctor

1.104

0.605 to 1.603

P < 0.001

0.029

Consultation length

0.338

0.154 to 0.522

P < 0.001

0.015

Acute or chronic problem

2.208

0.957 to 3.460

P < 0.01

0.012

  1. Step-wise regression was performed with CARE measure score as the dependant variable and the following independent variables; age, self-reported general health over the last 12 months, knowing the doctor, number of problems discussed, and consultation length were entered into the model as continuous variables, and chronic disease (or not) and nature of problem (new or old/new and old) were entered as binary variables.