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Table 2 Comparison of PCC and SDM between patient groups

From: Deconstructing patient centred communication and uncovering shared decision making: an observational study

 

PCC

SDM

Gender

  

- Man

2.1 (0.63)

2.4 (0.87)

- Women

2.1 (0.71)

2.3 (0.83)

 

(p > 0.60)

(p > 0.10)

 

t = 0.447; n = 574

t = 1.425; n = 573

Education

  

- Low

2.2 (0.65)

2.3 (0.78)

- Medium

2.1 (0.66)

2.4 (0.77)

- High

2.0 (0.56)

2.5(0.81)

 

(p > 0.40)

(p > 0.20)

 

t = 0.741; n = 366

t = 1.250; n = 366

Age

  

- 18–65 years

2.1 (0.69)

2.3 (0.83)

- 65+70 years

2.0 (0.65)

2.2 (0.93)

 

(p > 0.70)

(p > 0.40)

 

t = 0.243; n = 516

t = 0.706; n = 516

Functional health status

  

- Poor/average

2.2 (0.62)

2.3 (0.75)

- Good/very good/excellent

2.2 (0.65)

2.4 (0.84)

 

(p > 0.60)

(p > 0.30)

 

t = 0.443; n = 412

t = 0.889; n = 411

Chronic conditions

  

- No

2.1 (0.65)

2.3 (0.83)

- Yes

2.1 (0.64)

2.4 (0.80)

 

(p > 0.60)

(p > 0.05)

 

F = 0.397; n = 426

t = 1.653; n = 427

  1. Legend: Mean scores and standard deviations between brackets. To correct for clustering of patients within GPs the original t-values have been divided by the square root of the 'design effect', which was 2.01 for PCC (ICC = 0.34) and 1.31 for SDM (ICC = 0.19). The design effect is 1+(n-1)*ICC, where n is the average cluster size (n = 10 in our study) and ICC the intracluster correlation.