Maryam Ameri, Atieh Ansari, Abbas Aghabiklooei, Farrokh Taftachi , Leyla Abdolkarimi,
Volume 82, Issue 1 (April 2024)
Abstract
Background: Medical errors are one of the biggest problems of the health system in countries. Identifying the factors responsible for these errors is crucial to designing optimal strategies to reduce such occurrences. The aim of this study was to investigate the type and nature of medical errors.
Methods: In this cross-sectional descriptive study, all documented medical errors that occurred between March 2021 and February 2022 at Firoozgar Educational and Medical Center were thoroughly examined. The data collection involved reviewing records from various departments within the center to ensure a comprehensive analysis of error types. The extracted data were processed and analyzed using SPSS v.22 software, allowing for statistical evaluation and identification of potential patterns or trends in medical errors over the specified period.
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Results: A total of 214 cases were reviewed. 45.3% of the recorded medical errors occurred in the morning shift, 20.6% in the evening shift and 34.1% in the night shift. The highest number of medical errors was reported by nurses (40.7%), followed by physicians (16.8%) and paramedics (11.7%). The etiology of most medical errors was systemic errors (63.6%) followed by pharmacological errors (15.4%) and technical errors (13.1%) and the most reported systemic errors were of insufficient supervision. Most of the patients who had medical errors were admitted to the inpatient wards (40.7%) and later to the surgical wards (17.3%) and ICU (12.6%). 62.1% of medical errors did not cause any specific complication and in 33.2% of cases, mild complication, 10.7% moderate complication and 3.3% severe complication occurred for patients. 62.1% of medical errors had no consequences for anyone, and in 36.9% of cases, the consequences of errors were to the patient and 1% of the consequences of errors were to the organization and employees.
Conclusion: Most of the reported medical errors were performed by nurses and were uncomplicated errors. Establishing transparent and accurate self-reporting systems is essential to identify medical errors of all employees.
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