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Table 3 Conditional Logit model

From: For more than money: willingness of health professionals to stay in remote Senegal

 

Physician

Non-physician

Coefficient

SEa

P value

Coefficient

SEa

P value

1. Model parameters

 Current job condition

− 0.093

0.124

0.454

− 0.442

0.066

< 0.001

 Period

− 0.195

0.026

< 0.001

− 0.172

0.016

< 0.001

 Allowance

0.382

0.125

0.002

0.267

0.060

< 0.001

 Equipment

0.732

0.166

< 0.001

0.577

0.066

< 0.001

 Accommodation

0.274

0.149

0.065

0.180

0.061

< 0.001

 Temporary with MoH

− 1.071

0.182

< 0.001

− 0.754

0.086

0.003

 Contract with health facility

− 1.849

0.259

< 0.001

− 1.520

0.097

< 0.001

 Contract with local authorities

− 1.873

0.202

< 0.001

− 1.459

0.113

< 0.001

 Training

0.955

0.137

< 0.001

0.346

0.064

< 0.001

 Managerial support

–

–

–

0.306

0.079

< 0.001

 Professional support

–

–

–

0.043

0.071

0.542

2. Model statistics

 Respondents

55

  

246

  

 Observations

3 909

  

17 961

  

 Log likelihood

− 905.98

  

− 5 053.37

  

 Bayesian info criterion

1 886. 40

  

10 214. 49

  
  1. aRobust standard errors adjusted for clustering on individual participants