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Table 5 Linear regression models on patient experience in continuity of care

From: Relationship preferences and experience of primary care patients in continuity of care: a case study in Beijing, China

  

Relational Continuity Primary Care

Relational Continuity Specialist

Informational Continuity

Managerial Continuity

  

B

Std. Error

Standardised β

p

B

Std. Error

Standardised β

p

B

Std. Error

Standardised β

p

B

Std. Error

Standardised β

p

Relationship preferences

               
 

Information exchange

.135

.064

.076

.036

.328

.076

.159

.000

.100

.105

.031

.340

.755

.085

.281

.000

 

Community facility control over hospital appointments

−.035

.043

−.031

.411

−.048

.050

−.037

.341

.533

.070

.256

.000

.568

.056

.333

.000

 

Continuing patient-doctor relationship

.592

.058

.409

.000

.481

.069

.287

.000

1.165

.096

.439

.000

.399

.077

.183

.000

 

Free choice of doctors

.103

.060

.063

.086

.301

.071

.159

.000

.084

.098

.028

.391

.299

.079

.121

.000

Sex (Female = 1)

−.006

.039

−.005

.873

−.040

.046

−.031

.385

−.005

.063

−.003

.934

.034

.051

.020

.513

Age 35–44

.089

.086

.054

.301

−.028

.102

−.015

.786

.157

.140

.052

.263

.036

.114

.015

.750

Age 45–54

.084

.079

.068

.286

−.071

.094

−.049

.448

.184

.129

.081

.153

.106

.104

.057

.309

Age 55–64

.087

.080

.073

.277

−.056

.095

−.041

.555

−.003

.131

−.001

.982

.000

.106

.000

.997

Age 65 and over

.080

.089

.056

.367

−.044

.106

−.027

.675

.000

.146

.000

.999

.002

.118

.001

.985

Without college education

.067

.048

.060

.160

.044

.057

.034

.440

.064

.078

.031

.409

−.005

.063

−.003

.933

Rural health Insurance

−.104

.139

−.043

.457

.272

.165

.098

.100

−.057

.228

−.013

.801

.103

.184

.028

.577

Urban health Insurance

.075

.125

.045

.551

.390

.148

.203

.009

.007

.204

.002

.972

−.045

.165

−.018

.784

Free medicine

.024

.154

.009

.878

.390

.183

.126

.033

.023

.252

.005

.928

.064

.204

.016

.754

Income ≤2000 Yuan

.022

.144

.012

.881

.221

.171

.105

.198

.106

.236

.032

.653

.091

.191

.033

.634

Income 2001–4000 Yuan

.101

.128

.090

.427

.150

.152

.116

.321

.086

.209

.042

.681

.057

.169

.033

.737

Income 4001–6000 Yuan

.140

.127

.107

.272

.129

.151

.085

.395

.024

.208

.010

.910

.080

.168

.041

.635

Income 6001–8000 Yuan

−.187

.139

−.082

.181

−.037

.165

−.014

.821

−.227

.228

−.054

.320

−.007

.184

−.002

.971

Setting (Centre = 1)

−.031

.040

−.028

.435

.051

.047

.040

.279

.087

.065

.043

.181

.083

.053

.050

.115

Constant

3.690

.187

 

.000

2.949

.222

 

.000

2.351

.306

 

.000

2.350

.248

 

.000

 

R2

.265

   

.228

   

.418

   

.435

   
  1. Bold: p < 0.05
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BMC Health Services Research

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