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Table 10 Main effects MNL model estimates

From: Attribute development and level selection for a discrete choice experiment to elicit the preferences of health care providers for capitation payment mechanism in Kenya

 

Preference estimates

Willingness to accept (WTA)

Attributes

Levels

Coefficient (robust se)

value (robust se)

Payment schedule

1 month

− 0.0895**

(0.028)

294.3263***

(83.7794)

3 months

6 months

12 months

Timeliness of payments

Delayed

0.4808**

(0.1497)

− 1580.4597**

(528.7835)

Timely

Capitation rate per individual per year

1200 shillings

0.0003**

(0.0001)

 

2400 shillings

3600 shillings

4800 shillings

Services to be paid by the capitation rate

Capitation rate pays for consultation only.

−0.0360

(0.0833)

118.2276

(270.9732)

Capitation rate pays for consultation and drugs only

Capitation rate pays for consultation and lab tests only

Capitation rate pays for consultation, lab tests, and drugs

Performance requirements

Hospital receives base/fixed capitation rate

0.0540

(0.1085)

− 177.6008

(351.5738)

Hospital receives base/fixed capitation rate + bonus for improved performance (e.g. improved quality)

Opt-out

 

−0.2319

(0.4188)

762.1963

(1423.0172)

Model fit statistics

   

Log-likelihood at convergence

− 250.6159

  

Log-likelihood (final)

− 222.5633

  

Adjusted rho-squared at convergence

0.09

  

Akaike Information Criterion

457.13

  

Bayesian Information Criterion

478.21

  

observations

248

  

number of decision makers (n)

31

  
  1. s.e. - Robust standard errors in parenthesis. Asterisks denote statistical significance at *** 0.1%, ** 1%, and *5% level