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QUALITY OF CARE AND MEDICATIONS

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ENDEP : A virtual network to provide

evidence on pharmaceutical policies



CHANG MAI ICIUM APRIL 2004

Professor Christine Huttin

Health scientist and research professor

Endep research group coordinator and

Endep US research inc

IAE Aix en Provence and CNRS Paris

ENDEP : What is it ?





• A virtual think tank created in december 1994, as a research activity

discussed with EU representatives.

• Aim: to provide evidence to decision makers on the impact of

pharmaceutical policies

• Evaluation research based on different methodologies

• Combine different policy levels: national and European levels

• A multi country, interdisciplinary team, variable according to projects

• Building partnerships with commercial consulting firms (SKIM)

• Centralisation of data sets and institutionalisation of the research

consortium in the European research area.

• Internationalisation and links with global networks

Examples of drug policy areas researched

by the Endep research group

• Pricing policies: price controls, reference pricing

• Deregulation policies: switching policies

• Copayments and user fees : use of scenario analysis, economic and

pharmacoepidemiological step models, adaptation of reversed conjoint

designs

• Incentives mechanisms to physicians (positive and negative, use of

experimental designs)

• Referral system analysis and rational drug prescribing (link with the

DURG group)

• Comparison of subjective and objective measures of risk perceptions

cardio vascular diseases (link with Ghent/Brussels research

consortium), comparison of theoretical and practical knowledge par

sex

OBJECTIVES OF THE BIOMED PROJECT





• To examine whether and how cost to the patient

through different reimbursement systems in Europe

influence physicians treatment choices and patient

behaviours

• To disentangle prescribing decisions and consumer

decisions

• To generate potential primary data on primary care

services for insertion in health information systems of

the EU monitoring framework (e.g. with the fourth

group on health systems of the ECHI 36 indicators)

Prevalent copayment systems in Europe

Countries Type of charge and level Deductible and ceiling on patients

of charge

AUSTRIA Fixed charge 3.15 per pack

FINLAND Graduated above a fixed 0;25; 50% above deductible

cost deductible

FRANCE Graduated 0;35;65% of drug cost



ITALY Fixed charge



GERMANY Fixed charge 1.56;2.60;3.64 depending on pack

size

UK Fixed charge

Patient charges and patients and

physicians’decision making process

(METHODS)



• In-depth analysis of the influence of various

reimbursement systems on decision making process of

physicians and patients

• Disease specific approach on chronic and acute conditions

(hypertension, hay fever, dyspepsia and hormone

replacement therapy)

• Combination of qualitative focus groups) and surveys

(adapted conjoint designs and patient surveys)

• Internationalisation process (e.g. consensus building)

Patient charges and physicians’decision

making process

The conceptual basis: an adaptation of the Lens model

(Brunswick, 52; Cooksey, 90), Hammond,95:theoretical

background of probability functionalism)



Patient cues Economic cues



True State Judged State





Corrected weights Clinical cues

Judged weights

Cost sensitivity analysis of European

primary care physicians

2. Final design administered by SKIM Analytical (market

survey company)



Given a patient profile:

Patient characteristics: patient affordability,patient requestfor cheaper treatment,

severity of disease (hay fever) or risk factors (hypertension), patients’expenses

on other diseases



Q1: How would you treat this patient ?

Q2: To what extent did you take patient cost into account when you decided how to treat

this Patient ? (scale 1-7)

PATIENT CHARGE AND

PHYSICIANS’COST SENSITIVITY



MAIN RESULTS

Results country A: average utility values



other prescr FF 200



other prescr FF 50



no other disease



all season severe/ 40 cigarettes father died 52



all season/40 cigarettes

certain days/5 cigarettes



patient asks cheaper



patient doesn’t ask



poor/no insurance



poor/insurance



good income/insurance





-1 -0,5 0 0,5 1



hay fever hypertension

Results country B : average utility values



3 other prescr



1 other prescr



no other disease



all season severe/ 40 cigarettes father died 52



all season/40 cigarettes

certain days/5 cigarettes



patient asks cheaper



patient doesn’t ask



low income



moderate income



good income





-1 -0,5 0 0,5 1



hay fever hypertension

Results country C: average utility values



3 other prescr



1 other prescr



no other disease



all season severe/ 40 cigarettes father died 52



all season/40 cigarettes

certain days/5 cigarettes



patient asks cheaper



patient doesn’t ask



low income



moderate income



good income





-1 -0,5 0 0,5 1



hay fever hypertension

Results country D : average utility values



3 other prescr



1 other prescr

no other disease



all season severe/ 40 cigarettes father died 52



all season/40 cigarettes

certain days/5 cigarettes



patient asks cheaper



patient doesn’t ask

low income

moderate income



good income





-1 -0,5 0 0,5 1



hay fever hypertension

LINKING COST SENSITIVTY INDEX FOR

EACH INDIVIDUAL PHYSICIAN WITH

PRESCRIBING INTENTION SHIFTS

PRESCRIBING INTENTION SHIFTS

FOR HYPERTENSION IN COUNTRY A



Diurétiques





IEC(s)





Inhibiteurs

calciques



Antagonistes

angiotensine 2





Beta bloqueurs





-0,15 -0,10 -0,05 0,00 0,05 0,10 0,15

PRESCRIBING INTENTION SHIFTS

FOR HYPERTENSION IN COUNTRY B

diuretic



ACE inhibitor



calcium antagonist





beta blocker



other drug treatment



no drug treatment at

all









1 month



2-3 months





-0,10 -0,05 0,00 0,05 0,10

PRESCRIBING INTENTION SHIFTS

FOR HAY FEVER IN COUNTRY A

CLARITYNE



ZYRTEC



ALLERGODIL



OPTICRON



NASACORT



BECONASE



VIRLIX



NASONEX



MIZOLLEN



NASALIDE



DERINOX



FLIXONASE



TELFAST



PRIMALAN



LOMUSOL





-0,10 -0,05 0,00 0,05 0,10

PRESCRIBING INTENTION SHIFTS

FOR HAY FEVER IN COUNTRY B



non-sedating antihistamine



nasal steroid



eye drops



no drug treatment at all









1 month



2-3 months



-0,20 -0,10 0,00 0,10 0,20

The type of copayment or user fee has also

greatly influenced

other clinical strategies’ dimensions



 Cost reduction strategies have been classified in three

categories: the 3 « P »

P: Patient cost related strategies

P: Physician cost related strategies

P: Pharmacist cost related strategies

 According to health care systems, decision points where

cost issues are discussed differ

In fixed prescription charge systems, the

prescription of longer supply is the most

used clinical strategies to reduce cost to the

patient



80



70



60



50



40



30



20



10



0

Fin Fr Aus Frg I UK

French, British, Italian and Finnish cost

conscious patients

are high users of strategies where they

ask pharmacist's advice



70



60

use S1

50

use S2

40

use S3

30

use S4

20

use S5

10

use S6

0

Fin Fr Aus Frg I UK

THIS NEW METHOD CAN BE USED

AS A DECISION AID FOR

POLICYMAKERS TO TAILOR USER

FEES AND CONTROL FOR

POTENTIAL EFFECTS ON

INAPPROPRIATE PRESCRIBING OR

MOST COST EFFECTIVE DRUGS



CHANG MAI ICIUM APRIL 2004

Professor Huttin

www.marquiswhoswho/christinehuttin.net

Email: chris.huttin@comcast.net

Endep asbl coordinator and Endep US

research inc Director



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