Skip to main content

Table 2 Variables and definitions

From: Benefits of global partnerships to facilitate access to medicines in developing countries: a multi-country analysis of patients and patient outcomes in GIPAP

Variable

 

Mean

Std. Dev.

Quarter

Quarter (time). Indicates the number of quarters a patient has been participating in GIPAP

8.347

2.939

Origphase

Original Phase of Patient: 1 for Blast Crisis, 2 for Accelerated, 3 for Chronic, 4 for Remission

2.821

0.488

Curphase

Current Phase of the Patient: 1 for Blast Crisis, 2 for Accelerated, 3 for Chronic, 4 for Remission

2.924

0.554

Ins

Dummy variable. Indicates whether there is universal health insurance coverage or not; 1 for Argentina, Chile, Georgia and Russia, 0 for the other countries.

0.039

0.193

Ageatapproval

Age of the patient at his or her approval for participation in GIPAP

38.443

14.147

Gender

Gender. Dummy variable; 0 for male, 1 for female

0.372

0.483

Gap

Time gap between Diagnosis and Approval. It is the difference in months between the date of diagnosis of the patient suffering from CML and the date of approval for participation in GIPAP

4.617

8.997

Close

Dummy variable. Indicates whether a patient is considered closed or not. 0 for not closed, 1 for closed.

0.056

0.231

Argentina

 

0.007

0.083

Chile

 

0.012

0.109

China

 

0.160

0.367

El Salvador

 

0.004

0.067

Georgia

 

0.008

0.086

India

 

0.520

0.500

Kenya

 

0.008

0.089

Malaysia

 

0.038

0.191

Mexico

 

0.028

0.165

Nigeria

 

0.009

0.092

Pakistan

 

0.103

0.303

Russia

 

0.012

0.110

South Africa

 

0.022

0.145

Sudan

 

0.026

0.158

Thailand

 

0.045

0.207

Undefined

 

0.068

0.252

Agriculture

 

0.229

0.420

Business

 

0.044

0.206

Education

 

0.019

0.136

Government

 

0.035

0.183

Health-Social

 

0.011

0.104

Hospitality

 

0.006

0.077

Manufacturing

 

0.040

0.195

Other

 

0.291

0.454

Retired

 

0.039

0.193

Self Employed

 

0.085

0.279

Student

 

0.029

0.168

Transport

 

0.013

0.115

Unemployed

 

0.091

0.288

  1. Source: Authors' compilations from GIPAP database.