There are various socio-economic （poverty, self medication, and non-compliance to prescribed therapy） and behavior factors that affects the way of antibiotic use, which consequently brings the development of antibio...There are various socio-economic （poverty, self medication, and non-compliance to prescribed therapy） and behavior factors that affects the way of antibiotic use, which consequently brings the development of antibiotic resistance in patients. In the study, some of these social factors that might have an impact on the resistance of antibiotics in patients of regional of Vlora hospital during the period 2011-2012 were examined. The study was conducted using structured interviews on patients who were previously examined for bacterial cultures and sensitivity. The antibiotic resistance resulted really high in these patients. It is found out that the organisms with higher resistance were Streptococcus and Escherichia coli. 75% of the patients, whose cultures were positive, were resistant to at least one antibiotic and 31% to three or more antibiotics. A significant correlation between the structure of antibiotic resistance and the upper socio economic levels, the low educational level of the patients, self medication and the frequency of antibiotic use was found. These data have influence in the development of the awareness strategies in risky groups in order to clarify the concepts on the proper use of antibiotics.展开更多
文摘There are various socio-economic （poverty, self medication, and non-compliance to prescribed therapy） and behavior factors that affects the way of antibiotic use, which consequently brings the development of antibiotic resistance in patients. In the study, some of these social factors that might have an impact on the resistance of antibiotics in patients of regional of Vlora hospital during the period 2011-2012 were examined. The study was conducted using structured interviews on patients who were previously examined for bacterial cultures and sensitivity. The antibiotic resistance resulted really high in these patients. It is found out that the organisms with higher resistance were Streptococcus and Escherichia coli. 75% of the patients, whose cultures were positive, were resistant to at least one antibiotic and 31% to three or more antibiotics. A significant correlation between the structure of antibiotic resistance and the upper socio economic levels, the low educational level of the patients, self medication and the frequency of antibiotic use was found. These data have influence in the development of the awareness strategies in risky groups in order to clarify the concepts on the proper use of antibiotics.
