Pharmacist intervention has valuable input to the healthcare system by reducing medication errors, costs of treatment and improving therapeutic outcomes. This study aimed to analyze pharmacists’ interventions during the verification of computerized physician order entry and to determine the association between prescribers’ level and type of prescribing errors. In this cross-sectional, observational study, data collection was carried out over three months starting from 1 January 2020 to 31 March 2020. Included were 2405 interventions documented by 52 different pharmacists. The prevalence of prescribing order entry errors was 9.1%. The most identifiable type of intervention was incorrect dilution (40.2%) followed by dose substitution (27.7%). The drug category associated with a high percentage of interventions was perfusion solutions (41%), followed by antibacterial (35%). The number of junior physician orders that required pharmacist intervention was higher than other prescribers (45.2%), followed by specialist and senior physicians, (31.4% and 15.5%, respectively). Prescriber ordering time and types of prescribing errors were shown to have a significant (p < 0.05) association. Internal medicine physicians entered the highest percentage of prescribing errors, representing 22.7%. The current study concluded that TID has significant potential to reduce drug-related problems; TID fatigue is a real problem that might be under-reported and addressing this point in future studies would be of great value.
Vancomycindosing error and inappropriate monitoring is a common problem in hospital daily practice. In King Abdulaziz Medical City (KAMC) in Jeddah, a high percentage of abnormal vancomycin trough levels is still detected despite using the recommended dose. Therefore, the current research objective is to study the major causes of vancomycin dosing errors. This retrospective, single-center, cross-sectional study was carried out at KAMC hospital in Jeddah from January 1st until December 31st 2019. All adult patients (≥15 years) who received vancomycin and had an initial abnormal trough level at the measured steady-state were included in this study. 472 patients have met the study inclusion criteria. The current study evaluated the factors that play a role in causing vancomycin trough level abnormalities such as sampling time, vancomycin dosing, and patient’s pharmacokinetic and pharmacodynamic variations. In this study, we found that pharmacokinetic and pharmacodynamic variability was attributed to 65% of vancomycin's abnormal trough level. Also, the result showed a significantly increased odds of the low trough in the non-elderly group (OR 6, 95% CI 2.48 – 14.9, P < 0.001) and febrile neutropenic patients (OR 2.21, 95% CI 1.119 – 4.365, P < 0.05). However, the odds of high trough levels were significantly elevated among patients who have CrCl < 50 ml/min (OR 5, 95% CI 1.262–20.539, P < 0.05). In addition, the present investigation revealed that the occurrence of abnormal vancomycin levels was not affected by daily duty time or working days (p > 0.05). The current study indicated that vancomycin dosing errors were common in KAMC patients; thus, there is an unmet need to evaluate the causes of vancomycin abnormal trough level and optimize a strategy that would enhance the therapeutic effectiveness and minimize the potential toxicity.
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