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Table 4 Random effect probit regression and average marginal effect for determining the valuing of main attributes of patient preference

From: Effect of hospital attributes on patient preference among outpatient attendants in Wolaita Zone, Southern Ethiopia: discrete choice experiment study

Attributes

Random effect probit regression

Average Marginal Effect (Delta Method)

Coefficient

SE

95% CI

dy/dx

SE

95% CI

Moderate HCP competence

0.27**

0.020

0.23

0.31

0.105

0.008

0.09

0.12

Good HCP competence

0.63**

0.021

0.59

0.68

0.24

0.0084

0.22

0.26

Partially available medical equipment and supply

0.13**

0.019

0.096

0.17

0.051

0.007

0.037

0.066

Fully available medical equipment and supply

0.57**

0.027

0.52

0.62

0.22

0.010

0.197

0.24

Near to the hospital

0.057**

0.017

0.024

0.09

0.022

0.0064

0.009

0.03

No information on hospital reputation

0.17**

0.02

0.14

0.23

0.066

0.0091

0.048

0.084

Moderate hospital reputation

0.087**

0.021

0.046

0.13

0.033

0.0082

0.017

0.049

Good hospital reputation

0.19**

0.026

0.14

0.24

0.072

0.01

0.053

0.091

Waiting time

-0.03*

0.0095

-0.046

-0.0086

-0.01

0.0036

-0.017

-0.0033

Service cost

-0.00025***

0.00003

-0.0003

-0.0002

-0.000095

0.000011

-0.00012

-0.000074

Constant

-0.43**

0.024

-0.47

-0.38

    

Log of variance (lnsig2u)

-.1.5674

 

-4.1846

-0.3149

    

Standard deviation (Sigma_u)

0.4567

 

0.1234

0.8543

    

rho (\(\rho )\)

0.1725**

 

0.1499

0.2219

    
  1. Log likelihood = -19,533.95. Number of observations = 29,260. Number of groups = 1045. Wald x2(10) = 439.17. Prob > x2 = 0.0000. * Indicates p-value < 0.05 and ** if p-value < 0.001. dy/dx for factor levels is the discrete change from base level