INEQUITY IN ACCESS TO ALZHEIMER DISEASE INDICATED TREATMENT ACROSS DIFFERENT GEOGRAPHIC AREAS OF TURKEY

Author(s)

Dokuyucu O1, Saylan M1, Ozdemir O2, Keskinaslan A3
1Novartis, Istanbul, Turkey, 2Yorum Consulting Ltd., Istanbul, Turkey, 3Novartis AG, Istanbul, Turkey

OBJECTIVES: To assess the differences in the utilization of drugs indicated for AD treatment across different geographic areas in Turkey and to identify the factors that may influence possible disparity in the usage. METHODS: Summary data for all 81 cities in Turkey have been collected. The data  include IMS sales (standard unit sales data of all products indicated for AD -memantin, rivastigmin, donepezil, galantamin), demographic (age distribution, education level, population density etc.), health policy (number of family physicians and specialists, hospital beds, nursing houses, average hospital admission rate) and affordability data (social security coverage rate). We calculated “utilization score” for all cities, dividing the number of standard units sold by the number of subjects who are assumed to have AD. A composite “indicator score” was calculated for all cities, summing the weighted values of all indicators. The relationship of the indicators and the composite indicator scores with “utilization score” were analyzed by means of Pearson and Spearman correlation analysis as needed. Then, a multivariate regression model was built to determine the degree of impact of each indicator.   RESULTS: There were significant differences in the relative utilization of AD treatments among cities and regions. Generally industrialized and larger cities had higher utilization than smaller and/or less-developed cities by means of infrastructure. It is seen from the multivariate regression model that, utilization Index increases when SGK coverage rate and population density increase and when household size decrease.   CONCLUSIONS: Geographical disparities in the usage are initially assumed to be related to scarcities in healthcare infrastructure and regional socio-economic factors. However, it is seen that healthcare infrastructure is less influential on utilization disparity, which has found to be highly driven by socio-economics factors including affordability, population density (disperse residence) and household size (indirect indicator for socio-economy and family member to provide caregiver service in Turkish culture)  

Conference/Value in Health Info

2015-11, ISPOR Europe 2015, Milan, Italy

Value in Health, Vol. 18, No. 7 (November 2015)

Code

PMH44

Topic

Health Policy & Regulatory, Health Service Delivery & Process of Care

Topic Subcategory

Health Disparities & Equity, Pricing Policy & Schemes, Quality of Care Measurement

Disease

Mental Health, Neurological Disorders

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