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Table 5 Results of the ordered logistic regression

From: The influence of non-clinical pharmacists’ understanding of and attitudes towards pharmaceutical care on their willingness to serve as clinical pharmacists in China

Willingness

OR

St.Err

z

P-value

[95% Conf

Interval]

Gender

 Male (control group)

      

 Female

1.062

0.119

0.537

0.591

0.853

1.322

Age

0.975

0.013

-1.978

0.048**

0.950

1.000

Marital status

 Unmarried (control group)

      

 Married

0.760

0.104

-2.004

0.045**

0.580

0.994

 Divorced or widowed

0.723

0.315

-0.745

0.456

0.307

1.698

Number of children

1.124

0.105

1.255

0.209

0.936

1.350

Working years

1.010

0.012

0.864

0.388

0.987

1.033

Professional title

 Junior (control group)

      

 Intermediate

0.857

0.103

-1.289

0.198

0.678

1.084

 Vice-senior

0.673

0.141

-1.894

0.058*

0.447

1.014

 Senior

1.547

0.963

0.702

0.483

0.457

5.239

Do you think the clinical pharmacist salary is higher than yours’?

 No, I don’t (control group)

      

 I don’t know

0.816

0.124

-1.345

0.179

0.606

1.098

 Yes, I do

1.492

0.220

2.709

0.007***

1.117

1.993

Do you have experience providing PC to patients?

Never (control group)

      

 Seldom

2.275

0.671

2.788

0.005***

1.277

4.056

 Not sure

1.997

0.707

1.954

0.051*

0.998

3.996

 Sometimes

2.622

0.740

3.418

0.001***

1.509

4.557

 Often

3.939

1.118

4.829

0.000***

2.258

6.871

Educational level

 Below bachelor’s degree (control group)

      

 Bachelor's degree

0.786

0.110

-1.720

0.085*

0.598

1.034

 Master's degree

0.677

0.137

-1.932

0.053*

0.455

1.006

 Doctor's degree

0.409

0.368

-0.995

0.320

0.070

2.382

Professional background

 Nursing-related (control group)

      

 Medication-related

2.011

0.874

1.608

0.108

0.858

4.714

 Pharmacy-related

1.448

0.509

1.054

0.292

0.728

2.883

 Clinical pharmacy

1.128

0.487

0.279

0.781

0.484

2.631

 Others

2.814

1.645

1.769

0.077*

0.895

8.851

Attitudes towards PC

1.102

0.013

8.025

0.000***

1.076

1.129

 Cut

0.830

0.824

  

-0.785

2.444

 Cut

2.408

0.810

  

0.821

3.996

 Cut

3.640

0.811

  

2.051

5.230

 Cut

5.423

0.819

  

3.818

7.028

Mean dependent var

3.028

SD dependent var

 

1.006

Pseudo r-squared

0.052

Number of obs

 

1308.000

Chi-square

174.024

Prob > chi2

 

0.000

Akaike crit. (AIC)

3256.457

Bayesian crit. (BIC)

 

3396.216

  1. *** p < 0.01, ** p < 0.05, * p < 0.1