PHARMACEUTICAL POLICIES, REGULATION AND EFFICIENCY
Author(s)
Maniadakis N*1;Kourlaba G2;Shen J3;Holtorf AP4, Kalo Z5 1National School of Public Health, Athens, Greece, 2National and Kapodistrian University of Athens School of Medicine, Athens, Greece, 3Abbott, Basel, Switzerland, 4Health Outcomes Strategies LLC, Basel, Switzerland, 5Syreon Research Institute, Budapest, Hungary
OBJECTIVES: In the context of ever increasing demand and expenditure for health services it is important to identify policies which may maximise efficiency. Often, pharmaceuticals (approximately 20% of total healthcare expenditure) are a primary target for achieving efficiencies. This study aims to study the efficiency of pharmaceutical control policies. METHODS: Data on pharmaceutical policies and markets across 65 countries were collected from the published literature, with emphasis on the following domains: pricing, reimbursement, dispensing, expenditure and demand control. In each domain, policies were classified and through a multiple-country expert survey were graded for the degree of regulation. Countries were clustered according to their policy mix. Principal component analysis (PCA) served to group policies into three components: pricing policies, reimbursement policies and demand and cost control policies. Regression analysis with pharmaceutical expenditure as % of GDP as dependent variable was used to analyse the efficiency of policies. Independent variables were life expectancy, dependency ratios, mortality rates, GDP per capita and health system type. RESULTS: Spearman correlation coefficients indicated that there was no statistically significant association between total pharmaceutical expenditure as % of GDP and regulation in the coverage, pricing, reimbursement, dispensing policy and system type. A statistically significant positive correlation between regulation and indirect price and cost controls (0.334, p=0.028) and demand controls (0.333, p=0.019) implies that more regulation in these domains is associated with higher expenditure. Following the PCA, regulation in demand control policies was associated with higher expenditure (0.342, p=0.025) and the same applies for the aggregate of the components (0.314, p=0.040). In regression analysis the coefficients (p-value) were pricing:-0.003(0.950), demand control:0.062(p=0.067), reimbursement: -0.057(0.439), mortality: 0.001(0.414), Life Expectancy: 0.062(0.474), elderly ratio: 0.689(0.774), GDP-per-capita: -1.788(0.017). CONCLUSIONS: A variety of policies were developed recently to control pharmaceuticals. More regulation does not appear to increase efficiency or decrease expenditure.
Conference/Value in Health Info
2013-11, ISPOR Europe 2013, The Convention Centre Dublin
Value in Health, Vol. 16, No. 7 (November 2013)
Code
PR2
Topic
Health Policy & Regulatory
Topic Subcategory
Approval & Labeling
Disease
Multiple Diseases