This cross-sectional study was conducted in Ali-Ibn-E-Abitaleb (peace be upon him) teaching hospital, which is a 523-bed tertiary care and referral center in Zahedan, southeast of Iran. The clinical departments in this hospital comprise six intensive care units (ICUs), seven medical (four adults and three pediatrics) and four surgical wards, one obstetrics and gynecology ward, one radiotherapy, and one hemodialysis unit.
Only acute care inpatient wards in the hospital were included in this study, and it was decided to exclude the patients admitted to pediatrics wards and ICUs. Therefore, patients who were hospitalized in seven general surgical and nonsurgical wards, including four internal medicine (ie, internal medicine ward No. 1, internal medicine ward No. 2, internal medicine No. 3, and hematology), two surgical wards (ie, women’s surgery and men’s surgery), and one obstetrics and gynecology ward, were eligible for inclusion in the study on the day of discharge. The patients admitted to the internal medicine wards No. 2 and No. 3 were mostly but not merely medical oncology-endocrinology and pulmonology-gastroenterology-rheumatology patients, respectively.
For the period of March 2017 to March 2018, the data of the patients admitted to the above-mentioned wards were collected by reviewing the records of discharged patients and retrieving data from the hospital health information system (HIS). According to the WHO guidelines for drug utilization research, 75 patient records were randomly selected from each ward (ie, a total of 525 patients from seven wards) (
5). Stratified random sampling was used for selecting patients. Patients 18 years of age and older, whose duration of hospitalization in medical and surgical wards was 5 and 3 days and longer, were included in this study, respectively.
The patient-specific data, such as demographics, underlying disease states, type of patients’ admission, name of antibiotic, dosage, antibiotic administration route, duration and indications for antibiotic use (e.g., prophylaxis, empirical, and targeted), antibiotic prescriber’s specialty, antibiotics costs, type and date of surgery if any was performed, and patient outcomes, were collected. The data on the number of active hospital beds and bed occupancy percentage for each ward for the study period were obtained monthly from the hospital statistics center.
The ATC/DDD system codes 2020 (ATC group J0) were used to determine antibiotics for systemic use (
5). The antibiotic consumption data were converted to DDD and expressed as defined daily dose per 100 bed days (DBD) for the use of individual antibiotics, classes of antibiotics, and total antibiotic consumption using the following formula (
5):
Descriptive statistics were used for data analysis. The prevalence of antibiotic prescription was calculated as the proportion of the patients receiving any antibiotic out of the total number of studied patients. The 10 most commonly used antibiotics (top 10) were identified based on the calculated annual DBD for each antibiotic. All continuous variables were tested for the normality of distribution using the Kolmogorov-Smirnov goodness of fit tests. None of the continuous variables was observed to have a normal distribution. Therefore, nonparametric tests were used for data analysis. The mean values of 12 months of DBD for overall antibiotic consumption were compared between different hospital wards using the Kruskal-Wallis test. A p-value less than 0.05 was considered significant for all analyses. Data analysis was performed using SPSS statistical software package (version 20; Chicago, IL, USA).