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Table 4 Result of the discrete choice experiment on criteria for prioritizing the HIV response, main effect model together with interactions

From: Criteria for prioritization of HIV programs in Viet Nam: a discrete choice experiment

Dependent variable (0 = if the basic profile is chosen; 1 = if an alternative profile is chosen)

 

Main Effect Model

Model w/ Interactions

Criteria

β

std.err.

β

std.err.

Independent variables (coding under variables)

    

 Δ Effectiveness

0.713*

0.328

5.482*

1.577

  0 = no change, remains 4 million years of life saved

    

  1 = increases, 5 instead of 4 million years of life saved

    

 Δ Cost-effectiveness

0.240

0.296

0.184

0.317

  0 = no change, remains $6 return for every $1 invested

    

  -1 = decreases, $5 instead of $6 return for every $1 invested

    

 Δ Sustainability

1.309*

0.336

1.377*

0.583

  0 = no change, spending increases and then decreases

    

  -1 = changes to spending constantly increases

    

 Δ Treatment/Prevention

0.780*

0.312

1.486*

0.466

  0 = no change, greater investment in prevention

    

  -1 = changes to greater investment in treatment

    

 Δ Feasibility

1.980*

0.327

3.190*

0.616

  0 = no change, remains low feasibility

    

  1 = increases, high feasibility instead of low feasibility

    

Constant

0.887

0.669

0.724

0.709

Interaction Terms (w/ Δ Effectiveness)

 works in programming

  

−1.723*

0.563

 involved in decision-making

  

−3.623*

1.457

Interaction Terms (w/ Δ Sustainability)

 works in management

  

1.199*

0.539

 responsible for decisions

  

−1.204*

0.590

Interaction Terms (w/ Δ Treatment/Prevention)

 works in management

  

−1.156*

0.512

Interaction Terms (w/ Δ Feasibility)

 responsible for decisions

  

−1.412*

0.633

 rho

0.491

 

0.522

 

 pseudo r-squared

0.190

 

0.245

 
  1. *ρ < .05