Evaluation of human errors, using Standardized Plant Analysis Risk Human Reliability Analysis technique, among nurses of delivery emergency ward of one of the Tehran University of Medical Sciences hospitals

Message:
Abstract:
Background
Considerable attention has been paid recently to medical errors in health care system. Taking into account that nurses spend more time with patients in comparison with other staff, they are more prone to human errors. The present research was done to investigate nurse's errors in delivery emergency ward of one of the Tehran University of Medical Sciences hospitals.
Material and Methods
In the present coss-sectional study, first, task analysis was conducted for nursing proffession, using Hierarchical task analysis (HTA) technique. Following, the Human Error Probability (HEP) was determined employing SPAR-H method and dependences of performance-shaping factors (PSFs) and action and diagnosis activities were identified. Finally, after determinig the level of dependency, the Final Diagnosis HEP was calculated. Assessment of risk level was done using the risk's probability and intensity tables.
Results
According to the results, for the four groups of understudy tasks, the lowest errors were belonged to the subtask "working with serum pumping machine'' with the error level of 0.055 and the highest error probability related to the subtask '' transfusion of blood products'' with the error rate of 0.78. Moreover, special responsibilities of the wards had the highest level of undesirable risks.
Conclusion
The analysis of identified errors in the present study shows that due to high work demand, insufficient time, and the need for accurate administrative monitoring and providing required arrangements, the main causes of errors can be attributed to high level of stress and complexity in the tasks of this ward.
Language:
Persian
Published:
Pages:
57 to 66
magiran.com/p1455901  
دانلود و مطالعه متن این مقاله با یکی از روشهای زیر امکان پذیر است:
اشتراک شخصی
با عضویت و پرداخت آنلاین حق اشتراک یک‌ساله به مبلغ 1,390,000ريال می‌توانید 70 عنوان مطلب دانلود کنید!
اشتراک سازمانی
به کتابخانه دانشگاه یا محل کار خود پیشنهاد کنید تا اشتراک سازمانی این پایگاه را برای دسترسی نامحدود همه کاربران به متن مطالب تهیه نمایند!
توجه!
  • حق عضویت دریافتی صرف حمایت از نشریات عضو و نگهداری، تکمیل و توسعه مگیران می‌شود.
  • پرداخت حق اشتراک و دانلود مقالات اجازه بازنشر آن در سایر رسانه‌های چاپی و دیجیتال را به کاربر نمی‌دهد.
In order to view content subscription is required

Personal subscription
Subscribe magiran.com for 70 € euros via PayPal and download 70 articles during a year.
Organization subscription
Please contact us to subscribe your university or library for unlimited access!