Impact of the Economic Crisis on the Global Pharmaceutical Sector

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Impact of the Economic Crisis on the Global Pharmaceutical

Sector

Richard Laing MIE/EMP &

Iris Buysse (University of Utrecht) with materials provided by Peter Stephens from IMS Health

Utrecht

7 th January 2010

1

1.4

In the 97-99 Asian crisis consumption declines lagged GDP

Real GDP (LCU)

(Q2 ’97=1)

decline.

Drug Consumption (SU)

(Q2 ’97=1)

1.4

1.3

1.3

Korea

1.2

1.2

1.1

1.0

0.9

0.0

-4 -2 0 2 4 6 8 10 12 14 16 18 20 22 24

# of Quarters

Q

0

= Q2 ’97

Source: ????

Thailand

Indonesia

1.1

1.0

Thailand

Indonesia

0.9

0.8

0.0

-4 -2 0 2 4 6 8 10 12 14 16 18 20 22 24

# of Quarters

Q

0

= Q2 ’97

Source: IMS Midas

Korea

2

1.4

1.3

1.2

1.1

1.0

0.9

Chronic disease consumption recovered quicker than overall consumption.

Real GDP (LCU)

(Q2 ’97=1)

Chronic Disease Consumption (SU)

(Q2 ’97=1)

1.4

1.3

Korea

1.2

1.1

Thailand

Indonesia

1.0

Thailand

Korea

Indonesia

0.9

0.8

0.0

-4 -2 0 2 4 6 8 10 12 14 16 18 20 22 24

# of Quarters

Q

0

= Q2 ’97

Source: WHO

0.0

-4 -2 0 2 4 6 8 10 12 14 16 18 20 22 24

# of Quarters

Q

0

= Q2 ’97

Source: IMS Midas

3

1.4

Acute disease drug consumption recovers more slowly than GDP.

Real GDP (LCU)

(Q2 ’97=1)

Acute Disease Consumption (SU)

(Q2 ’97=1)

1.4

1.3

1.3

1.2

1.1

1.0

0.9

0.0

-4 -2 0 2 4 6 8 10 12 14 16 18 20 22 24

# of Quarters

Q

0

= Q2 ’97

Source: WHO

Korea 1.2

1.1

Thailand

Indonesia

1.0

0.9

Indonesia

Thailand

0.8

0.7

0.0

-4 -2 0 2 4 6 8 10 12 14 16 18 20 22 24

# of Quarters

Q

0

= Q2 ’97

Source: IMS Midas

Korea

4

The WHO, in collaboration with IMS, has established a programme to monitor the impact of the 08/09/?? recession

• 83 countries, approximately 81% of global population, quarterly reports (Small, poor and

African countries missing)

• Impact on consumption (Lagging indicator)

– Total volume

– Volume of acute and chronic medicines

– Movement to or from original and licensed branded medicines

Impact on expenditure (Leading indicators)

– Total expenditure

– Average price per unit of volume (SU)

5

IMS Data Sources and Analysis

Methods

• IMS collects data on consumption and prices at one point in the distribution channel.

• Data generally collected from private sector but in many countries the private sector supplies the public sector.

Generally do not capture tender data

• In some countries only captures hospital data (e.g.

China)

• Uses the same point and methods in each country, so good for detecting changes less so for cross country comparisons

• Volume data is more reliable than pricing data

6

GDP

GDP

(Percentage change on Q1 08)

25.00%

20.00%

15.00%

10.00%

5.00%

0.00%

-5.00%

-8.18%

-10.00%

-15.00%

-20.00%

-17.33%

Q1 07 Q2 07

Estonia

Q3 07

Latvia

Q4 07 Q1 08

Lithuania

Q2 08

9.60%

-1.54%

-10.08%

Q3 08 Q4 08

Mexico (priv.)

Q1 09 Q2 09

Poland

7

Pharmaceutical consumption

Global and WHO regions

(Evolution on Q1 08)

1,25

1,20

1,23

1,18

1,15

1,10

1,11

1,10

1,07

1,05

1,00

0,99

0,95 0,95

0,93

0,90

0,94

Q1 07 Q2 07 Q3 07 Q4 07 Q1 08 Q2 08 Q3 08 Q4 08 Q1 09 Q2 09 Q3 09 Q4 09

GLOBAL AFRO AMRO EMRO EURO SEARO WPRO

8

Pharmaceutical consumption

Global, EURO and Baltics

(Evolution on Q1 08)

1,15

1,10

1,05

1,00

0,99

0,95

0,97

0,95

0,90

1,03

1,10

0,94

0,85

0,83

0,80

0,75

0,70

0,76

0,72

Q1 07 Q2 07 Q3 07 Q4 07 Q1 08 Q2 08 Q3 08 Q4 08 Q1 09 Q2 09 Q3 09 Q4 09

GLOBAL EURO Estonia Latvia Lithuania

9

Consumption

Global, WPRO, China and Malaysia

(Evolution on Q1 08)

1,40

1,30

1,40

1,20

1,18

1,10

1,10

1,00

0,97

0,95

0,90

0,90

0,97

0,80

10

Q1 07 Q2 07 Q3 07 Q4 07 Q1 08 Q2 08 Q3 08 Q4 08 Q1 09 Q2 09 Q3 09 Q4 09

GLOBAL WPRO CHINA MALAYSIA

1,30

1,25

1,20

1,15

1,10

1,05

1,00

0,95

0,90

0,92

0,90

0,85

0,84

0,80

Average pharmaceutical expenditure index

Global and WHO regions

(Evolution on Q1 08)

GLOBAL AFRO AMRO EMRO EURO SEARO

1,28

1,24

1,20

1,10

1,00

WPRO

Average pharmaceutical expenditure

Global, EURO and Baltics

(Evolution on Q1 08)

1,20

1,15

1,10

1,05

1,17

1,00

0,95

0,95

0,92

0,90 0,90

0,88

0,85

1,00

0,87

0,83

0,80

0,75

0,77

Q1 07 Q2 07 Q3 07 Q4 07 Q1 08 Q2 08 Q3 08 Q4 08 Q1 09 Q2 09 Q3 09 Q4 09

12

GLOBAL EURO Estonia Latvia Lithuania

Pharmaceutical expenditure

Global, WPRO, China and Malaysia

(Evolution on Q1 08)

1,50

1,40

1,30

1,20

1,10

1,00

0,90

0,80

0,70

0,91

0,91

0,79

1,54

1,20

1,17

1,14

Q1 07 Q2 07 Q3 07 Q4 07 Q1 08 Q2 08 Q3 08 Q4 08 Q1 09 Q2 09 Q3 09 Q4 09

GLOBAL WPRO CHINA MALAYSIA

13

Price per IMS Standard Unit

Global and WHO regions

(Evolution on Q1 08)

1,15

1,10

1,11

1,05

1,00

0,97

0,95 0,94

0,93

0,90

0,85

0,88

Q1 07 Q2 07 Q3 07 Q4 07 Q1 08 Q2 08 Q3 08 Q4 08 Q1 09 Q2 09 Q3 09 Q4 09

GLOBAL AFRO AMRO EMRO EURO SEARO WPRO

14

Price per IMS Standard Unit

Global, EURO, Baltics

(Evolution on Q1 08)

1,25

1,20

1,15

1,10

1,05

1,00

1,21

1,08

1,02

1,01

0,95

0,90

0,93

0,92

0,85

0,85

Q1 07 Q2 07 Q3 07 Q4 07 Q1 08 Q2 08 Q3 08 Q4 08 Q1 09 Q2 09 Q3 09 Q4 09

GLOBAL EURO Estonia Latvia Lithuania

15

Price per IMS Standard Unit

WPRO, China and Malaysia

(Evolution on Q1 08)

1,20

1,15

1,17

1,10

1,05

1,00

0,96

0,95

1,10

1,08

0,90

0,87

0,85

Q1 07 Q2 07 Q3 07 Q4 07 Q1 08 Q2 08 Q3 08 Q4 08 Q1 09 Q2 09 Q3 09 Q4 09

GLOBAL WPRO CHINA MALAYSIA

16

Next steps

• Pareto analysis on ATC2 and ATC3-level on consumption distribution for 6 most affected countries

• ATC-2 & 3 level analysis to identify top and bottom 10 of most decline

• Investigate whether Individual product level data can identify marker medicines within ATC4 categories

17

Example of distribution of ATC3 categories of total consumption in IMS supply units

Annual consumption distribution Estonia 2008

100.00%

80.00%

60.00%

40.00%

20.00%

0.00%

0.0%

20.2 % of all ATC3 categories accounted for

80.91% of total consumption

20.0% 40.0% 60.0%

Number of ATC3-groups

80.0% 100.0%

18

Q4 07-Q1 08 compared to Q4 08-Q1 09

ATC2: Top 10 decliners of the 30% of categories that account for 80% of consumption

Top 10 Estonia Abs value % change Latvia

1 M2 (ANTIRHEUMATICS TOPICAL )

Abs value % change

-14509339 -20,33%

2 C6 (OTH CARDIOVASCULAR PRDS )

3 V3 (OTHER THERAPEUTIC PRODS ) -2647914 -15,71%

4 R1 (NASAL PREPARATIONS ) -4034513 -15,64%

5 A12 (MINERAL SUPPLEMENTS ) -2969060 -14,56%

6 D8 (ANTISEPTICS+DISINFECTANT ) -3430098 -13,86%

7 A11 (VITAMINS)

8 A7 (A-DIAR ORAL ELEC+A-INFLA ) -1940346 -11,98%

9 N6 (PSYCHOANALEPTICS ) -2120912 -11,89%

10 B1 (ANTITHROMBOTIC AGENTS ) -9118301 -10,62%

20

Q4 07-Q1 08 compared to Q4 08-Q1 09

ATC2: Bottom 10 decliners of the 30% of categories that account for 80% of consumption

Bottom 10 Estonia Abs value % change Latvia Abs value % change

1 R3 (ANTI-ASTHMA & COPD PROD ) -46801 -0,17%

2 A2 (A-ACID A-FLAT A-ULCERANT ) -16663 -0,02%

3 C8 (CALCIUM ANTAGONISTS ) 54377 0,17%

4 C5 (A-VARICOSE/HAEMORRHOIDAL ) 1090156 8,78%

5 C10 (LIP.REG./ANTI-ATH. PREPS ) 3099690 9,34%

6 M5 (OTHER MUSCULO-SKELETAL ) 1437829 9,41%

7 V7 (OTHER NON-THERAPEUTIC ) 2483633 10,74%

8 C7 (BETA BLOCKING AGENTS ) 1943115 10,75%

9 A10 (DRUGS USED IN DIABETES ) 2321425 11,66%

10 C9 (RENIN-ANGIOTEN SYS AGENT ) 1820269 18,31%

21

Work underway to be presented on

January 8

th

by Iris Buysse

• ATC2 analysis

• Identification of marker product categories for detecting declines that are likely to be therapeutically significant

• More work to be done on ATC3 and ATC 4 data

24

Further work to be undertaken in

2010

• Meet to discuss further work to be done in Baltic states to link IMS consumption data with social security utilization & claims data. Possibly involve Iceland

• Interim report for WHO Executive Board 2010

• Full report for World Health Assembly 2010

• Source data available on request for further analysis

25

Conclusions of IMS reports to date

• No firm evidence of a negative impact except in Baltic countries and Malaysia

• So far most countries seem to have absorbed the moderate price increases without a loss in medicine consumption

• Confident that the data collection methods and the analytic tools available will enable us to detect significant changes as soon as they occur

• When such changes are detected, governments have a range of policy instruments to alleviate the situation

• More reports will be provided quarterly http://www.who.int/medicines/areas/policy/imsreport/en/index.html

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