ارزیابی قابلیت اطمینان انسان در اعضای تیم جراحی سزارین یکی از بیمارستان‌های دانشگاه علوم پزشکی تهران

Authors

  • اعظم, کمال دانشیار،گروه اپیدمیولوژی و آمار حیاتی، دانشکده بهداشت،دانشگاه علوم پزشکی تهران،تهران،ایران
  • خسروی, سودابه دانشجوی کارشناسی ارشد ارگونومی،گروه مهندسی بهداشت حرفه ای، دانشکده بهداشت،دانشگاه علوم پزشکی تهران،تهران،ایران
  • ذاکریان, سید ابوالفضل دانشیار، گروه مهندسی بهداشت حرفه ای ،دانشکده بهداشت،دانشگاه علوم پزشکی تهران،تهران،ایران، (*نویسنده مسوول)، آدرس الکترونیکی: [email protected]
  • علیاری, ابوالفضل دانشجوی دکترا مدیریت خدمات بهداشتی درمانی،دانشگاه آزاد تهران جنوب،تهران،ایران
Abstract:

Background:Human reliability assessment consists ofusing quantitative and qualitative methods to predict human contribution to the occurrence of error;so, using reliability assessment techniques is necessary to prevent and limit the consequences of errors in sensitive work environments.Healthcare considers as the high-risk areas.With due attention to the high rates of cesarean section in Iran, this study aimed at evaluating human reliability during this operation. Materials and Methods:This was a qualitative-descriptive study which was performed as a cross-sectional one using the EMEA technique. At first, the process of operation was divided in to tasks and sub-tasks using the method of hierarchical task analysis. Then, according to the EMEA instructions, the work sheet was completed for all personnel in the operating room. Results: A total of 126 errors, including 40 errors (31.75%) related to circular nurse activities, 34 errors (26.98%) related to anesthesia activities, 33 errors (26.19%) related to scrub nurse activities and 19 errors (15.08%) related to the activities of the surgeon, were identified.In general, skill-based errors (51.59%)  and judgment-based errors (1.59%) were the highest and the lowest amount, respectively. Conclusion:According to the study results, among three working groups, skill-based errors forcircularand scrub nurses and anesthesiology expert with the most frequency, and knowledge-based errorsfor surgeon tasks, with the highest frequency should be considered as priorities tocontrol errors.

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Journal title

volume 16  issue 4

pages  27- 34

publication date 2018-02

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