GENERIC REIMBURSED MARKET SHARES IN GREECE FROM 2012-2016. A STUDY BASED ON AGE GROUP PREFERENCES.
Author(s)
Dede Z1, Manias NG2
1Pricing Committee, ATHENS, Greece, 2MINTE, Athens, Greece
OBJECTIVES: A generic drug shares the same active and inactive ingredients as the branded though it is marketed under a different trade name, trademark, packaging than the branded. Increased penetration of prescribed generics has been primary goal during the memorandum years (since 2010) in Greece. We assessed trends in the prescriptions of authorized generics in the public reimburesed market from EOPYY in Greece during the years 2012-2016. METHODS: Medicines Data were derived from the EOF (Greek Medicines Organization) databases, the Greek Positive list of prescribed medicines and published reimbursement data by EOPYY (Greek Public Reimbursement Organization) .Time trends in generic market were described and compared with chi-square tests in each semester from 2012 to 2016. RESULTS: In 2012 generics market share was 22% both in values and volume of the public reimbursed market. In 2016 Gx value and volume shares were approximately 25%. Generic value share increased linearly from 72% in S2 2012 to 80% in S2 2015 in patients age group >60 years old. In S1&S2 2016 Generic value share decreased significantly to 72% in patient group >60 years old but increased in almost all other age groups. In the same period older patients switched from generics to Off patent medicines in a rate 10% per semester and to On patent medicines in a rate 20% per semester. Chronic deseases patients count for over 70% volume in public reimbursed market shares. CONCLUSIONS: Generic medicines are preferred by older patients. The use of generics in reimbursed market is increased overtime. The effect of increased generic penetration on the reimbursed market and the incentives for generic preference should be assessed.
Conference/Value in Health Info
2017-11, ISPOR Europe 2017, Glasgow, Scotland
Value in Health, Vol. 20, No. 9 (October 2017)
Code
PRM221
Topic
Methodological & Statistical Research
Topic Subcategory
Confounding, Selection Bias Correction, Causal Inference
Disease
Multiple Diseases