Assessment and Reduction of Human Error using SHERPA Technique in Chemotherapy Department of a Large Military Hospital

Author:

Teymourzadeh Ehsan1,Mehdizadeh Parisa1,Yaghoubi Maryam1,Firoozjaie Iman Taghizadeh12

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.

Publisher

Medknow

Reference17 articles.

1. System Performance Analysis Considering Human-Related Factors. A thesis degree of Doctor of Philosophy;Kiassat;University of Toronto,2013

2. A review of medical error taxonomies:A human factors perspective;Taib;Saf Sci,2011

3. Investigating prevalence and factors associated with shift work disorder in nurses of selected hospitals of Shahid Beheshti University of Medical Sciences in 2014;Kangavari;J Occupat Environ Health,2016

4. Evaluating human errors in cataract surgery using the SHERPA technique;Mohammadfam;Iran J Ergon,2015

5. Economic measurement of medical errors using a hospital claims database;David;Value Health,2013

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3