Abstract
ANALYZING PRESCRIPTION AND SENSITIVITY PATTERN TO MAKE INSTITUTIONAL ANTIBIOTIC POLICY

Saravana Kumar M.*, Bouddh S.K., Akshay Kumar P., Sageera Banoo

ABSTRACT

The optimal antibiotic control measures are essential and they vary between institutions. Various control measures implemented have helped in reducing the cost of treatment and quantity of drugs prescribed without compromising in the quality of care. The main objective of this work is to frame an antibiotic policy of medical institution based on the analysis of the antibiotic prescribing pattern and culture sensitivity reports. The antibiotic prescriptions were collected from various departments for a period of four months and complied manually. The sensitivity reports were collected from the microbiology laboratory excel sheets. Further it was investigated for the correlation between laboratory results and antibiotic prescriptions. Statistical analysis using SPSS and Spi info software were used. The results highlighted that scheduled reduction of intensively used antibiotics may be effective in reversing increased resistance in the hospital setting and limit the spread of multiresistant clones. The sensitivity pattern data obtained from the microbiology laboratory and prescriptions were not correlated. Hence, it is essential to frame an antibiotic policy for hospital setting to prevent the development of antibiotic resistance and to delay the spread of resistant strains.

Keywords: Microbiology sensitivity report, prescription patterns, Institutional policy.


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