Affiliation:
1. Health Management Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran
2. Department of Medical Surgical Nursing, School of Nursing and Midwifery, Golestan University of Medical Sciences, Golestan, Iran
Abstract
Abstract
Background:
Medical errors are numerous in medical activities. Considering the sensitivity and importance of the medical group’s professions, the emergence of an apparently simple error can cause the death of an individual or even a group of individuals. The present study aims the evaluation and reduction of human error using a system human error reduction and prediction approach System Human Error Reduction and Prediction Approach (SHERPA) in the nurses of Baqiyatallah hospital’s chemotherapy ward in 2019.
Materials and Methods:
A cross-sectional study was conducted in the chemotherapy ward using the SHERPA technique. Then, the duties were determined in detail using Hierarchical Task Analysis (HTA). The errors were identified using the SHERPA checklist, and the risk outcomes and intensities were finally evaluated.
Results:
Based on the study findings, there are 109 possible errors for 48 sub-duties. The most frequent errors fall in the functional area (54%) and the least frequent errors pertain to the area of selection (3%).
Conclusions:
In order to reduce the errors and increase the quality of the services and safety of the patients, errors can be identified by using the SHERPA technique; after identifying these errors, using this technique, it is possible to prevent the recurrence of the identified errors by careful planning. Considering the fact that the most frequent error was found in the functional domain, modern protocols can be codified in this area, and standards can be observed for putting the problems of this section atop of the priority list and reducing the errors and increasing safety of the patients.
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