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Table 1 Parameters included in economic model

From: Adding rituximab to chemotherapy for diffuse large B-cell lymphoma patients in Indonesia: a cost utility and budget impact analysis

Parameters

R-CHOP

CHOP

Distribution

Source

Transition probabilitiesa

Progression free to death

0.004

 

Beta

WHO Life table

Progression free to progressive

0.370

 

Beta

GELA trial

Progressive to death

0.001

 

Beta

GELA trial

Efficacy

 RR Progression Free

0.55

 

Log normal

GELA trial

 RR Progressive

0.53

 

Log normal

GELA trial

Costs (in USD)

Direct medical costs (DMC) b

 Progression Free

431,4 ± 292,0

368,5 ± 389,0

Gamma

Hospital billing

 Progressive

534,5 ± 134,0

368,5 ± 389,0

Gamma

Hospital billing

Drug costs (DC)

 Progression Free_Rituximab

643,0 ± 79,0

 

Gamma

Patient interviews

 Progressive_Rituximab

563,4 ± 134,0

 

Gamma

Patient interviews

 Progression Free_CHOP

50,7 ± 7,0

 

Gamma

Patient interviews

 Progressive_CHOP

50,7 ± 7,0

 

Gamma

Patient interviews

Direct non-medical costs (DNMC) c

 Progression Free

86,8 ± 102,0

86,8 ± 102,0

Gamma

Patient interviews

 Progressive

331,9 ± 328,0

331,9 ± 328,0

Gamma

Patient interviews

Indirect costs (IC)d

 Progression Free

144,2 ± 204,0

144,2 ± 204,0

Gamma

Patient interviews

 Progressive

38,2 ± 19,0

38,2 ± 19,0

Gamma

Patient interviews

Utility

 Progression Free

0.74 ± 0.23

 

Gamma

Patient interviews

 Progressive

0.48 ± 0.26

 

Gamma

Patient interviews

Discount rate

 Costs

3%

 

NA

HTA national guideline

 Effect

3%

 

NA

HTA national guideline

  1. aWe adjusted and converted PFS and OS for transitional probabilities that fit into our model cycles and life time horizon (see supplemental material)
  2. bdirect medical costs assumed similar with progression free state
  3. cdirect non-medical costs are assumed similar with R-CHOP group
  4. dindirect costs are assumed similar with R-CHOP group. In progressive state, very few patients use ICE with Rituximab