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Luis Sagaon Teyssier ; Yves Arrighi; Boniface Dongmo Nguimfack; Jean-Paul Moatti

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Affordability of HIV/AIDS treatment in developing countries: modeling ARV drug price determinants for a better understanding of the market functioning. Luis Sagaon Teyssier ; Yves Arrighi; Boniface Dongmo Nguimfack; Jean-Paul Moatti. Aknowledgements. - PowerPoint PPT Presentation
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Affordability of HIV/AIDS treatment in developing countries: modeling ARV drug price determinants for a better understanding of the market functioning Luis Sagaon Teyssier ; Yves Arrighi; Boniface Dongmo Nguimfack; Jean- Paul Moatti
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Page 1: Luis  Sagaon Teyssier ; Yves Arrighi;  Boniface Dongmo Nguimfack; Jean-Paul Moatti

Affordability of HIV/AIDS treatment in developing countries: modeling ARV drug

price determinants for a better understanding of the market functioning

Luis Sagaon Teyssier; Yves Arrighi; Boniface Dongmo Nguimfack; Jean-Paul Moatti

Page 2: Luis  Sagaon Teyssier ; Yves Arrighi;  Boniface Dongmo Nguimfack; Jean-Paul Moatti

Aknowledgements

This study is part of a project funded by UNITAID and developed by:

The French National Agency for Research on AIDS and viral Hepatitis (ANRS-SESSTIM)

AIDS Medicines and Diagnostics Service (AMDS/WHO)

Page 3: Luis  Sagaon Teyssier ; Yves Arrighi;  Boniface Dongmo Nguimfack; Jean-Paul Moatti

Objectives

– To investigate in which extent originator and generic prices react differently to the same factors

– To study the evolution of prices through the life-cycle of patents• Originator drugs• Generic drugs produced under license and/or

taking advantage of TRIPS flexibilities

Page 4: Luis  Sagaon Teyssier ; Yves Arrighi;  Boniface Dongmo Nguimfack; Jean-Paul Moatti

Data• Global Price Reporting Mechanism (AMDS/WHO)

http://apps.who.int/hiv/amds/price/hdd/• Period of analysis: 2003-2012

• 30.904 transactions of Adult ARVs– 126 countries – 21 ARVs ; 15 FDC/Co-blisters (57 formulations)

• 12 Sources providing information on transactions:– Global Fund (35.8%); SCMS (22.1%); UNICEF (14.3%); UNITAID (7.3%); IDA

(9.7%); PEPFAR (5.6%); Mission Pharma (2.5%); CHAI (1.1%); JSI (0.4%); WHO/CPS (0.4%); MSH (0.4%); WHO (0.4%)

Page 5: Luis  Sagaon Teyssier ; Yves Arrighi;  Boniface Dongmo Nguimfack; Jean-Paul Moatti

ARV market structure• Demand-side

– Donor funded ARV transactions (80%)• Supply-side

– Originator segment• 8 manufacturers• 21 single and 6 co-formulations• Production: 30.5% in USA; 19.3 UK; 12.2 NL; 10.1 FR

– Generic segment• 25 manufacturers• 15 single. 11 co-formulations. and 4 co-blisters • Production: 92% in India

Page 6: Luis  Sagaon Teyssier ; Yves Arrighi;  Boniface Dongmo Nguimfack; Jean-Paul Moatti

Methods: Price descriptives & OLSEconometric analysis of price determinants:• Dependent: price of patient-year treatment log(PYD)• Explanatory:

– Year & Geographical group dummies– Purchased quantity of yearly doses: log(QYD)– Formulation type (single=ref., co-blister, FDC)– Target group (pediatric=1. adult=0) – Number of observed suppliers– Present in 1st line (yes=1, no=0)– Segment (originator=1, generic=0)

– Gross National Income per capita (World Bank): log(GNIpc)– Drug age since FDA approval– Expiration of the reference patent (Medicines Patent Pool)

Page 7: Luis  Sagaon Teyssier ; Yves Arrighi;  Boniface Dongmo Nguimfack; Jean-Paul Moatti

RESULTS

Page 8: Luis  Sagaon Teyssier ; Yves Arrighi;  Boniface Dongmo Nguimfack; Jean-Paul Moatti

Quantities: procurement of generic yearly treatments by region

Generic segment controlled by only 6 manufacturers (out of 25)

Page 9: Luis  Sagaon Teyssier ; Yves Arrighi;  Boniface Dongmo Nguimfack; Jean-Paul Moatti

Prices: ARVs recommended in 1st line by region

Page 10: Luis  Sagaon Teyssier ; Yves Arrighi;  Boniface Dongmo Nguimfack; Jean-Paul Moatti

Prices: ARVs recommended in 2nd line by region

Page 11: Luis  Sagaon Teyssier ; Yves Arrighi;  Boniface Dongmo Nguimfack; Jean-Paul Moatti

Multivariate analysis

EstimateIntercept 5.7966***Years2003 0.6839***2004 0.5617***2005 0.5887***2006 0.4747***2007 0.3117***2008 0.3310***2009 0.1730***2010 0.0508***

TIME TREND(ref: 2011-2012)

Significant at: ***1%; **5%; *10%; Ad-R²=49,6%

Page 12: Luis  Sagaon Teyssier ; Yves Arrighi;  Boniface Dongmo Nguimfack; Jean-Paul Moatti

Multivariate analysis

EstimateIntercept 5.7966***Years2003 0.6839***2004 0.5617***2005 0.5887***2006 0.4747***2007 0.3117***2008 0.3310***2009 0.1730***2010 0.0508***

TIME TREND(ref: 2011-2012)

EA&P E&CA LA&C MENA SA-10%

-5%

0%

5%

10%

15%

20%

-5%***

15%***12%***

18%***

-6%**Aver

age

pric

e di

ffer-

entia

l

REGIONS (ref: Sub-Saharan Africa)

Significant at: ***1%; **5%; *10%; Ad-R²=49,6%

Page 13: Luis  Sagaon Teyssier ; Yves Arrighi;  Boniface Dongmo Nguimfack; Jean-Paul Moatti

Multivariate analysis

EstimateIntercept 5.7966***Years2003 0.6839***2004 0.5617***2005 0.5887***2006 0.4747***2007 0.3117***2008 0.3310***2009 0.1730***2010 0.0508***

TIME TREND(ref: 2011-2012)

EA&P E&CA LA&C MENA SA-10%

-5%

0%

5%

10%

15%

20%

-5%***

15%***12%***

18%***

-6%**Aver

age

pric

e di

ffer-

entia

l

REGIONS (ref: Sub-Saharan Africa)

Significant at: ***1%; **5%; *10%; Ad-R²=49,6%

Originator prices are 60%(p< 0.001) higher than generics

Page 14: Luis  Sagaon Teyssier ; Yves Arrighi;  Boniface Dongmo Nguimfack; Jean-Paul Moatti

Multivariate analysis by segment

Significant at: ***1%; **5%; *10%, Ad-R²(originator)=39.3%; Ad-R²(generic)=34.6%

Stratified estimation fits better the data (F-test=79.2 > 1.6)

EA&P E&CA LA&C MENA SA-40%

-20%

0%

20%

40%

60%

80%

100%

39%***

91%***

71%***56%***

13%

-17%*** -19%***-10%***

-1%-12%***

OriginatorGeneric

Aver

age

pric

e di

ffere

ntial

REGIONS (ref: Sub-Saharan Africa)

Page 15: Luis  Sagaon Teyssier ; Yves Arrighi;  Boniface Dongmo Nguimfack; Jean-Paul Moatti

Multivariate analysis by segmentOther significant differences:

• Price differential in the generic segment according to the economic situation of the countries: 10% increase in the GNIpc is at the origin of an price increase of 0.7%

• Originator prices are more sensitive to the presence of an additional supplier in the market: prices decrease in average 3.6%, while the decrease of generic prices is 2%

• Generic 1st line drugs are 109% cheaper than generic 2nd line drugs; while originator 1st line drugs are only 81% cheaper than originator 2nd line drugs.

• Originator drugs for potential 3rd line are 54% more expensive than originator 2nd line drugs.

Page 16: Luis  Sagaon Teyssier ; Yves Arrighi;  Boniface Dongmo Nguimfack; Jean-Paul Moatti

Price differentials through patent life cycle

-19

-18

-17

-16

-15

-14

-13

-12

-11

-10 -9 -8 -7 -6 -5 -4 -3 -2 -1 0 1 2 3 4 5 6-20%

-10%0%

10%20%30%40%50%60%70%80%

42%

31%

62%

1%

66%

Originator-specific regressionYears before/after expiration of the reference patent

Pric

e di

ffere

ncia

l

Ref: purchase the same year of patent expiration

Page 17: Luis  Sagaon Teyssier ; Yves Arrighi;  Boniface Dongmo Nguimfack; Jean-Paul Moatti

Price differentials through patent life cycle

-19

-18

-17

-16

-15

-14

-13

-12

-11

-10 -9 -8 -7 -6 -5 -4 -3 -2 -1 0 1 2 3 4 5 6-20%

30%

80%

130%

180%

230%

42%

31%

62%

1%

66%

186%

115% 105%

-5%

71%

Originator-specific regression Generic-specific regressionYears before/after expiration of the reference patent

Pric

e di

ffere

ncia

l

Ref: purchase the same year of patent expiration

Page 18: Luis  Sagaon Teyssier ; Yves Arrighi;  Boniface Dongmo Nguimfack; Jean-Paul Moatti

Main conclusions Procurement policies should account for the

different functioning of originator and generic segments

The important price-differentials between geographical regions highlight different strategies adopted by originator and generic manufacturers

Fluctuation of the price of generics under license through the patent life-cycle demonstrates that patent protection may also impair the delivery of newer generics

Page 19: Luis  Sagaon Teyssier ; Yves Arrighi;  Boniface Dongmo Nguimfack; Jean-Paul Moatti

Thank you!

Contact: [email protected]


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