Background: Medication errors have serious consequences for patients' morbidity and mortality. The involvement of pharmacy professionals in the prescribing and dispensing procedure allowed the detection of a range of drug-related problems in addition to identification by prescribers. They are often the first point of contact in the healthcare system in identifying prescribing errors and intervening in these errors by dealing with the prescribers and the patients.
Objectives: This study aimed to assess prescribing errors reported by community pharmacy professionals in Gondar Town, North West Ethiopia.
Methods: A self-administered cross-sectional survey was employed from February 29 to June 23, 2020, to collect data on prescribing errors reported by community pharmacy professionals. All community pharmacy professionals found in Gondar town were included. Community pharmacy professionals who were ill at the time of study and who had less than 6 months of work experience were excluded.
Results: Seventy-four pharmacy professionals participated in the study with a response rate of 93.6%. The overall prevalence of prescribing errors was 75.1% (95% CI 71.08-78.70). Of these errors, drug selection was the most common (82.4%), followed by errors of commission (79.7%) and errors of omission (78.4%). Antibiotics (63.5%) were commonly involved in prescribing errors, followed by analgesics (44.5%) and antipsychotics (39.5%).
Conclusion: The findings of this study revealed a high prevalence of prescribing errors in Gondar, Ethiopia. Drug selection was the most prescribed error, followed by errors of commission. Stakeholders should design interventions such as training, integrating prescribers with clinical pharmacists and supervising interns by seniors. Large-scale studies that include potential factors of prescribing problems are recommended for future researchers.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9569042 | PMC |
http://dx.doi.org/10.1186/s40545-022-00461-9 | DOI Listing |
Sci Rep
January 2025
Pharmacy Department, Newcastle Upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, NE1 4LP, England, UK.
Prescribing errors are a source of preventable harm in healthcare, which may be mitigated using Electronic Prescribing (EP) systems. Anyone who routinely prescribes medication could benefit from digitally assisted automated checks to identify whether a prescription should potentially not be allowed (e.g.
View Article and Find Full Text PDFIowa Orthop J
January 2025
NYU Langone Orthopedic Hospital, New York, New York, USA.
Background: Optimal management of post-operative pain is a critical component of orthopedic surgical care. There is a heightened awareness of narcotic prescribing habits given the current "opioid epidemic." The lack of standardized protocols has led to increased errors, delayed access to prescribed medications, and excessive narcotic prescribing.
View Article and Find Full Text PDFBackground And Aims: Drug-drug interactions (DDIs) are a significant health issue that may adversely affect the health and well-being of patients. This study assesses and compares potential DDI (pDDI) patterns, severity, and associated risk factors in government and private hospitals in Dhaka, Bangladesh.
Methods: A total of 188 and 206 prescriptions were collected from various government and private hospitals' outdoor departments, respectively, by capturing pictures of the prescriptions.
ISA Trans
January 2025
College of Control Science and Engineering, Bohai University, Jinzhou 121013, Liaoning, China. Electronic address:
This paper investigates the optimal fixed-time tracking control problem for a class of nonstrict-feedback large-scale nonlinear systems with prescribed performance. In the process of optimal control design, the new critic and actor neural network updating laws are proposed by adopting the fixed-time technique and the simplified reinforcement learning algorithm, which both guarantee the simplified optimal control algorithm and accelerate the convergence rate. Furthermore, the prescribed performance method is contemplated simultaneously, which ensures tracking errors can converge within the prescribed performance bounds in fixed time.
View Article and Find Full Text PDFNurs Open
January 2025
Department of Social and Clinical Pharmacy, Faculty of Pharmacy in Hradec Kralove, Charles University, Hradec Kralove, Czech Republic.
Aims: To explore all medication administration errors (MAEs) throughout the entire process of medication administration by nurses in the inpatient setting, to describe their prevalence, and to analyse associated factors, including deviation from the good practice standards.
Background: Worldwide, MAEs are very common and regarded as a serious risk factor to inpatient safety. Nurses assume an essential role in the hospital setting during the administration of medications.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!