PATTERN OF DRUG PRESCRIBING IN RESPIRATORY INTENSIVE CARE UNIT OF A TERTIARY CARE TEACHING HOSPITAL: A CROSS-SECTIONAL STUDY
Anusree E. P.1, Bhagya Thankom Kurian2 and Joga Sasidhar*
Background: Over the past few decades, no branch of medicine has made more progress than Respiratory intensive care. This study is done to describe the prescription pattern in RICU, which is important in explaining the extent and profile of drug use, quality of drugs, usage of drugs from the essential medicines list, etc. There are several problems which are associated with drug prescription patterns that are quite common worldwide. Errors in drug prescription are considered a key threatening factor that affects patient safety. Adverse drug reactions are one of the main causes of injury and death, it is estimated that they cause 100,000 deaths annually in the United States. Objectives: To describe the drug prescribing pattern in patients admitted to the respiratory intensive care unit. To describe the rationality of these prescriptions using the WHO core drug prescribing indicators. Methods and Methodology: It was a Cross-sectional study. The study period was about 6 months and the relevant data were collected from inpatient records. Result: A total of 120 prescriptions were collected from the Respiratory Intensive Care Unit and analyzed. Males were more (65.8%) compared to females (34.2%). The majority of patients belonged to the age group of 60 and above. The most common respiratory condition found in the study population was Acute exacerbation of COPD + IHD + Others (24.2%). A total of 1065 drugs were prescribed in 120 cases among which Antibiotics were most commonly prescribed (23.5%). Azithromycin was the most commonly prescribed. Conclusion: The prescription pattern was analyzed according to the WHO (World Health Organization) core indicators and most of them followed the WHO core prescription pattern. It is the responsibility of the clinical pharmacist to perform a vital role in the detection and prevention of potential prescription errors.
Keywords: RICU, Prescription Pattern.
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