Drug-related problems and determinants among elective surgical patients: A prospective observational study

The aim of this study was to assess drug-related problems and determinants among elective surgical patients admitted to Jimma University Medical Center.

A hospital-based prospective observational study was conducted at Jimma University Medical Center, from April 10 to July 10, 2018. Data were collected through patients' interview and physicians' medication orders and charts review using pre-tested questionnaire and data abstraction formats. Drug-related problems were assessed for each patient using drug-related problem classification tool. Data were analyzed using Statistical Package for Social Science for windows; version 21.0. The predictors of drug-related problems were determined by multivariable logistic regression analysis. A p-value of less than or equal to 0.05 was considered to be statistically significant.

Of the total 141 participants, 98 (69.5%) of them had at least one drug-related problem during their hospital stay. A total of 152 drug-related problems were identified among 141 elective surgical patients. The most common identified drug-related problems were indication-related problems (39%) followed by effectiveness-related problems (21%) and safety-related problems (21%). The presence of complication (adjusted odds ratio = 2.90, 95% confidence interval (1.302, 3.460)), American Society of Anesthesiologists Physical Status ⩾ 2 (adjusted odds ratio = 6.01, 95% confidence interval (1.0011, 9.500)), and postoperative antibiotics (adjusted odds ratio = 6.027, 95% confidence interval (1.594, 22.792)) were independent predictors of drug-related problems.

The prevalence of drug-related problems is high among elective surgical patients. The indication-related problems were the most common category of drug-related problem identified among elective surgical patients. The presence of complication, American Society of Anesthesiologists Physical Status ⩾ 2, and postoperative antibiotics were the independent predictors of drug-related problems.