Utilization of cardiovascular medicines and cardiovascular mortality in Lithuania, Sweden and Norway in 2003–2012

OBJECTIVE: The aim of this ecological study was to evaluate whether any changes in cardiovascular (CV) medicine utilization, population, socioeconomic and health system factors were associated with CV mortality in Lithuania, Sweden and Norway in 2003-2012. MATERIALS AND METHODS: CV drug utilization was calculated using the Anatomical Therapeutic Chemical/Defined Daily Dose (DDD) methodology and expressed as a number of DDD per 1000 inhabitants per day (DDD/TID). The CV age-standardized death rate (CV-SDR) and risk factors data were obtained from the WHO, EUROSTAT, and FAOSTAT databases. The multiple linear regression model was used for modeling outcome measures - the relationship between the CV-SDR and CV medicine utilization including socioeconomic (GDP, unemployment and divorce rate), population (alcohol consumption, smoking and amount of kcal per day, consumption of fruit and vegetables, health status self-evaluation) and health system factors (number of hospital beds, practicing physicians and health care expenditure). RESULTS: =0.67, P<0.001). There was a strong correlation between CV-SDR and nine factors (P<0.05), except the number of practicing physicians, amount of kcal per day. There was a strong correlation between DDD/TID and nine factors (P<0.05), except the unemployment rate and amount of kcal per day. Association between an increase in the use of medicines and a decrease in CV-SDR was stronger in the case of higher alcohol consumption, higher number of available beds in hospitals and the lower unemployment rate. CONCLUSIONS: We confirmed the strong negative correlation between CV medicine utilization and CV mortality in all countries. The strong correlation was found between CV-SDR and nine factors, also between the use of CV medicines and nine factors. The impact of factors on the medicines induced decrease in CV-SDR showed the stronger influence in case of lower unemployment, higher alcohol consumption and higher number of beds for hospitalization.